30th ACM International Conference on Information and Knowledge Management, Online CIKM 2021

Accepted Papers

Full Papers

  • Natural Language Understanding with Privacy-Preserving BERT ‐ Chen Qu (Google, USA), Weize Kong (Google, USA), Liu Yang (Google, USA), Mingyang Zhang (Google, USA), Michael Bendersky (Google, USA), Marc Najork (Google, USA)
  • The Shapley Value of Classifiers in Ensemble Games ‐ Benedek Rozemberczki (The University of Edinburgh, United Kingdom), Rik Sarkar (The University of Edinburgh, United Kingdom)
  • Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces ‐ Chunyu Liu (Jilin University, China), Yongjian Yang (Jilin University, China), Zijun Yao (University of Kansas, USA), Yuanbo Xu (Jilin University, China), Weitong Chen (University of Queensland, Australia), Lin Yue (University of Queensland, Australia), Haomeng Wu (Jilin University, China)
  • SimpleX: A Simple and Strong Baseline for Collaborative Filtering ‐ Kelong Mao (Renmin University of China, China), Jieming Zhu (Huawei Noah's Ark Lab, China), Jinpeng Wang (Tsinghua University, China), Quanyu Dai (Huawei Noah’s Ark Lab, China), Zhenhua Dong (Huawei Noah’s Ark Lab, China), Xi Xiao (Tsinghua University, China), Xiuqiang He (Huawei Noah’s Ark Lab, China)
  • UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation ‐ Kelong Mao (Renmin University of China, China), Jieming Zhu (Huawei Noah's Ark Lab, China), Xi Xiao (Tsinghua University & Peng Cheng Laboratory, China), Biao Lu (Huawei Noah’s Ark Lab, China), Zhaowei Wang (Huawei Noah’s Ark Lab, China), Xiuqiang He (Huawei Noah’s Ark Lab, China)
  • To Be or not to Be, Tail Labels in Extreme Multi-label Learning ‐ Zhiqi Ge (Jilin University, China), Ximing Li (Jilin University, China)
  • Principled Multi-Aspect Evaluation Measures of Rankings ‐ Maria Maistro (University of Copenhagen, Denmark), Lucas Chaves Lima (University of Copenhagen, Denmark), Jakob Grue Simonsen (University of Copenhagen, Denmark), Christina Lioma (University of Copenhagen, Denmark)
  • An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks ‐ Yuke Wang (University of California, Santa Barbara, USA), Boyuan Feng (University of California, Santa Barbara, USA), Xueqiao Peng (The Ohio State University, USA), Yufei Ding (University of California, Santa Barbara, USA)
  • Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal ‐ Zuobai Zhang (Fudan University, China), Zhongzhi Zhang (Fudan University, China), Guanrong Chen (City University of Hong Kong, Hong Kong)
  • Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need ‐ Zhengyi Ma (Renmin University of China, China), Zhicheng Dou (Renmin University of China, China), Wei Xu (Renmin University of China, China), Xinyu Zhang (Huawei, China), Hao Jiang (Huawei, China), Zhao Cao (Huawei, China), Ji-Rong Wen (Renmin University of China, China)
  • Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge Bases ‐ Zhao Liu (Nanjing University, China), Chang Lu (Nanjing University, China), Ghadah Alghamdi (The University of Manchester, United Kingdom), Renate A. Schmidt (The University of Manchester, United Kingdom), Yizheng Zhao (Nanjing University, China)
  • Pareto-optimal Community Search on Large Bipartite Graphs ‐ Yuting Zhang (University of New South Wales, Australia), Kai Wang (University of New South Wales, Australia), Wenjie Zhang (University of New South Wales, Australia), Xuemin Lin (University of New South Wales, Australia), Ying Zhang (University of Technology Sydney, Australia)
  • Learning Implicit User Profile for Personalized Retrieval-Based Chatbot ‐ Hongjin Qian (Renmin University of China, China), Zhicheng Dou (Renmin University of China, China), Yutao Zhu (Université de Montréal, Canada), Yueyuan Ma (Renmin University of China, China), Ji-Rong Wen (Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, China)
  • Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism ‐ Li Wang (JD.com, China), Peipei Li (JD.com, China), Kai Xiong (JD.com, China), Jiashu Zhao (Wilfrid Laurier University, Canada), Rui Lin (JD.com, China)
  • Adversarial Separation Network for Cross-Network Node Classification ‐ Xiaowen Zhang (Nanjing University, China), Yuntao Du (Nanjing University, China), Rongbiao Xie (Nanjing University, China), Chongjun Wang (Nanjing University, China)
  • Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification ‐ Peiyi Wang (Peking University, China), Runxin Xu (Peking University, China), Tianyu Liu (Peking University, China), Damai Dai (Peking University, China), Baobao Chang (Peking University, China), Zhifang Sui (Peking University, China)
  • Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding? ‐ Han Yang (Peking University, China), Leilei Zhang (Peking University, China), Bingning Wang (Sogou Inc., China), Ting Yao (Sogou Inc., China), Junfei Liu (Peking University, China)
  • ECMA: An Efficient Convoy Mining Algorithm for Moving Objects ‐ Yiyang Liu (Nanjing University of Posts and Telecommunications, China), Hua Dai (Nanjing University of Posts and Telecommunications, China), Bohan Li (Nanjing University of Aeronautics and Astronautics, China), Jiawei Li (Nanjing University of Posts and Telecommunications, China), Geng Yang (Nanjing University of Posts and Telecommunications, China), Jun Wang (Nanjing University of Posts and Telecommunications, China)
  • Improving Chinese Character Representation with Formation Graph Attention NetworkXiaosu Wang (Fudan University, China), Yun Xiong (Fudan University, China), Hao Niu (Fudan University, China), Jingwen Yue (Fudan University, China), Yangyong Zhu (Fudan University, China), Philip S. Yu (University of Illinois at Chicago, USA)
  • Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search ‐ Qingyao Ai (University of Utah, USA), Lakshmi Narayanan.R (University of Utah, USA)
  • Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server ‐ Maocheng Li (Hong Kong University of Science and Technology, Hong Kong), Jiachuan Wang (Hong Kong University of Science and Technology, Hong Kong), Libin Zheng (Sun Yat-sen University, China), Han Wu (East China Normal University, China), Peng Cheng (East China Normal University, China), Lei Chen (Hong Kong University of Science and Technology, Hong Kong), Xuemin Lin (The University of New South Wales, Australia)
  • LiteGT: Efficient and Lightweight Graph Transformers ‐ Cong Chen (The University of Hong Kong, China), Chaofan Tao (The University of Hong Kong, Hong Kong), Ngai Wong (The University of Hong Kong, Hong Kong)
  • Task Allocation with Geographic Partition in Spatial Crowdsourcing ‐ Guanyu Ye (University of Electronic Science and Technology of China, China), Yan Zhao (Aalborg University, Denmark), Xuanhao Chen (University of Electronic Science and Technology of China, China), Kai Zheng (University of Electronic Science and Technology of China, China)
  • HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations ‐ Anson Bastos (Indian Institute of Technology, Hyderabad, India), Kuldeep Singh (Zerotha Research and Cerence GmbH, Germany), Abhishek Nadgeri (Zerotha Research and RWTH Aachen, Germany), Saeedeh Shekarpour (University of Dayton, USA), Isaiah Onando Mulang (IBM Research & Zerotha Research, Kenya), Johannes Hoffart (Goldman Sachs, Germany)
  • Geometric Heuristics for Transfer Learning in Decision Trees ‐ Siddhesh Chaubal (The University of Texas at Austin, USA), Mateusz Rzepecki (University of Wroc?aw, Poland), Patrick K. Nicholson (Nokia Bell Labs, Ireland), Guangyuan Piao (Maynooth University, Ireland), Alessandra Sala (Nokia Bell Labs, Ireland)
  • PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning ‐ Zhi Xu (School of Computer Science and Engineering, University of Electronic Science and Technology of China, China), Shuncheng Liu (School of Computer Science and Engineering, University of Electronic Science and Technology of China, China), Ziniu Wu (Massachusetts Institute of Technology & Alibaba Group, USA), Xu Chen (School of Computer Science and Engineering, University of Electronic Science and Technology of China, China), Kai Zeng (Alibaba Group, China), Kai Zheng (School of Computer Science and Engineering, University of Electronic Science and Technology of China, China), Han Su (School of Computer Science and Engineering, University of Electronic Science and Technology of China, China)
  • Top-k Tree Similarity Join ‐ Jianhua Wang (Hunan University, China), Jianye Yang (Hunan University, China), Wenjie Zhang (University of New South Wales, Australia)
  • Top-N Recommendation with Counterfactual User Preference Simulation ‐ Mengyue Yang (University College London, United Kingdom), Quanyu Dai (Huawei, China), Zhenhua Dong (Huawei, China), Xu Chen (Beijing Key Laboratory of Big Data Management and Analysis Methods & Renmin University of China, China), Xiuqiang He (Huawei, China), Jun Wang (University College London, United Kingdom)
  • Counterfactual Review-based Recommendation ‐ Kun Xiong (School of Software, Tsinghua University, China), Wenwen Ye (School of Software, Tsinghua University, China), Xu Chen (Beijing Key Laboratory of Big Data Management and Analysis Methods & Renmin University of China, China), Yongfeng Zhang (Rutgers University, USA), Wayne Xin Zhao (Beijing Key Laboratory of Big Data Management and Analysis Methods & Renmin University of China, China), Binbin Hu (Ant Group, China), Zhiqiang Zhang (Ant Group, China), Jun Zhou (Ant Group, China)
  • Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction ‐ Jiale Han (Beijing University of Posts and Telecommunications, China), Bo Cheng (Beijing University of Posts and Telecommunications, China), Guoshun Nan (Singapore University of Technology and Design, Singapore)
  • Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation ‐ Luo Ji (Alibaba Group, China), Qi Qin (Peking University, China), Bingqing Han (Alibaba Group, China), Hongxia Yang (Alibaba Group, China)
  • Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems ‐ Philip J. Feng (NetEase Inc., China), Pingjun Pan (NetEase Inc., China), Tingting Zhou (NetEase Inc., China), Hongxiang Chen (NetEase Inc., China), Chuanjiang Luo (NetEase Inc., China)
  • Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation ‐ Yanda Wang (Nanjing University of Aeronautics and Astronautics, China), Weitong Chen (The University of Queensland, Australia), Dechang Pi (Nanjing University of Aeronautics and Astronautics, China), Lin Yue (The University of Queensland, Australia), Miao Xu (The University of Queensland, Australia), Xue Li (The University of Queensland, Australia)
  • DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control ‐ Libing Wu (Wuhan University & Xidian University, China), Min Wang (Wuhan University & Xidian University, China), Dan Wu (University of Windsor, Canada), Jia Wu (Macquarie University, Australia)
  • Query-Variant Advertisement Text Generation with Association Knowledge ‐ Siyu Duan (Peking University, China), Wei Li (Beijing Language and Culture University, China), Jing Cai (Tencent, China), Yancheng He (Tencent, China), Yunfang Wu (Peking University, China)
  • Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness ‐ Xin Mao (East China Normal University, China), Wenting Wang (Alibaba Group, Singapore), Yuanbin Wu (East China Normal University, China), Man Lan (East China Normal University, China)
  • Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking ‐ Yutao Zhu (University of Montreal, Canada), Jian-Yun Nie (University of Montreal, Canada), Zhicheng Dou (Renmin University of China, China), Zhengyi Ma (Renmin University of China, China), Xinyu Zhang (Distributed and Parallel Software Lab, Huawei, China), Pan Du (University of Montreal, Canada), Xiaochen Zuo (Renmin University of China, China), Hao Jiang (Distributed and Parallel Software Lab, Huawei, China)
  • Analysing Mixed Initiatives and Search Strategies during Conversational Search ‐ Mohammad Aliannejadi (University of Amsterdam, Netherlands), Leif Azzopardi (University of Strathclyde, United Kingdom), Hamed Zamani (University of Massachusetts Amherst, USA), Evangelos Kanoulas (University of Amsterdam, Netherlands), Paul Thomas (Microsoft, Australia), Nick Craswell (Microsoft, USA)
  • Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering ‐ Zizheng Lin (HKUST, Hong Kong), Haowen Ke (HKUST, Hong Kong), Ngo-Yin Wong (HKUST, Hong Kong), Jiaxin Bai (HKUST, Hong Kong), Yangqiu Song (HKUST, Hong Kong), Huan Zhao (4Paradigm Inc., China), Junpeng Ye (Tencent Technology (SZ) Co., Ltd., China)
  • A Unified View on Graph Neural Networks as Graph Signal Denoising ‐ Yao Ma (New Jersey Institute of Technology, USA), Xiaorui Liu (Michigan State University, USA), Tong Zhao (University of Notre Dame, USA), Yozen Liu (Snap Inc., USA), Jiliang Tang (Michigan State University, USA), Neil Shah (Snap Inc., USA)
  • Delve into the Performance Degradation of Differentiable Architecture Search ‐ Jiuling Zhang (University of Chinese Academy of Sciences, China), Zhiming Ding (Institute of Software, Chinese Academy of Sciences, China)
  • Automated Query Graph Generation for Querying Knowledge Graphs ‐ Weiguo Zheng (Fudan University, China), Mei Zhang (Fudan University, China)
  • Scaling Up Distance-generalized Core Decomposition ‐ Qiangqiang Dai (Beijing Institute of Technology, China), Rong-Hua Li (Beijing Institute of Technology, China), Lu Qin (University of Technology, Sydney, Australia), Guoren Wang (Beijing Institute of Technology, China), Weihua Yang (Taiyuan University of Technology, China), Zhiwei Zhang (Beijing Institute of Technology, China), Ye Yuan (Beijing Institute of Technology, China)
  • Deep Self-Adaptive Hashing for Image Retrieval ‐ Qinghong Lin (Shenzhen University, China), Xiaojun Chen (Shenzhen University, China), Qin Zhang (Shenzhen University, China), Shangxuan Tian (Tencent, China), Yudong Chen (The University of Queensland, Australia)
  • How Powerful is Graph Convolution for Recommendation? ‐ Yifei Shen (The Hong Kong University of Science and Technology, Hong Kong), Yongji Wu (Duke University, USA), Yao Zhang (Fudan University, China), Caihua Shan (Microsoft Research Asia, China), Jun Zhang (The Hong Kong University of Science and Technology, Hong Kong), B. Khaled Letaief (The Hong Kong University of Science and Technology, Hong Kong), Dongsheng Li (Microsoft Research Asia, China)
  • Speedup Robust Graph Structure Learning with Low-Rank Information ‐ Hui Xu (Shanghai Jiao Tong University, China), Liyao Xiang (Shanghai Jiao Tong University, China), Jiahao Yu (Shanghai Jiao Tong University, China), Anqi Cao (Shanghai Jiao Tong University, China), Xinbing Wang (Shanghai Jiao Tong University, China)
  • PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network ‐ Hao Sun (University of Electronic Science and Technology of China, China), Changjie Yang (University of Electronic Science and Technology of China, China), Liwei Deng (University of Electronic Science and Technology of China, China), Fan Zhou (University of Electronic Science and Technology of China, China), Feiteng Huang (Huawei Cloud Database Innovation Lab, China), Kai Zheng (University of Electronic Science and Technology of China, China)
  • Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era ‐ Shaoyuan Huang (Tianjin University, China), Heng Zhang (Tianjin University, China), Xiaofei Wang (Tianjin University, China), Min Chen (Huazhong University of Science and Technology, China), Jianxin Li (Deakin University, Australia), Victor C. M. Leung (Shenzhen University & University of British Columbia, China)
  • Differentially Private Federated Knowledge Graphs Embedding ‐ Hao Peng (Beihang University, China), Haoran Li (Hong Kong University of Science and Technology & Peng Cheng Laboratory, Hong Kong), Yangqiu Song (Hong Kong University of Science and Technology & Peng Cheng Laboratory, Hong Kong), Vincent Zheng (Webank Co., Ltd, China), Jianxin Li (Beihang University, China)
  • Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics ‐ Yile Chen (Nanyang Technological University, Singapore), Xiucheng Li (Nanyang Technological University, Singapore), Gao Cong (Nanyang Technological University, Singapore), Zhifeng Bao (RMIT University, Australia), Cheng Long (Nanyang Technological University, Singapore), Yiding Liu (Baidu Inc., China), Arun Kumar Chandran (NCS Pte. Ltd., Singapore), Richard Ellison (DataSpark, Singapore)
  • Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks ‐ Changchun Li (Jilin University, China), Ximing Li (Jilin University, China), Jihong Ouyang (Jilin University, China), Yiming Wang (Jilin University, China)
  • Semantic Concept Annotation for Tabular Data ‐ Udayan Khurana (IBM Research, USA), Sainyam Galhotra (University of Chicago, USA)
  • CBML: A Cluster-based Meta-learning Model for Session-based Recommendation ‐ Jiayu Song (Soochow University, China), Jiajie Xu (Soochow University, China), Rui Zhou (Swinburne University of Technology, Australia), Lu Chen (Swinburne University of Technology, Australia), Jianxin Li (Deakin University, Australia), Chengfei Liu (Swinburne University of Technology, Australia)
  • Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm ‐ Qingsong Zhang (Xidian University & JD Tech, China), Bin Gu (MBZUAI & JD Tech, UAE), Zhiyuan Dang (Xidian University & JD Tech, China), Cheng Deng (Xidian University, China), Heng Huang (JD Explore Academy & University of Pittsburgh, USA)
  • Multi-view Interaction Learning for Few-Shot Relation Classification ‐ Yi Han (National University of Defense Technology, China), Linbo Qiao (National University of Defense Technology, China), Jianming Zheng (National University of Defense Technology, China), Zhigang Kan (National University of Defense Technology, China), Linhui Feng (National University of Defense Technology, China), Yifu Gao (National University of Defense Technology, China), Yu Tang (National University of Defense Technology, China), Qi Zhai (National University of Defense Technology, China), Dongsheng Li (National University of Defense Technology, China), Xiangke Liao (National University of Defense Technology, China)
  • Adversarial Kernel Sampling on Class-imbalanced Data Streams ‐ Peng Yang (Baidu Research, USA), Ping Li (Baidu Research, USA)
  • #StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs ‐ Yichao Zhou (University of California, Los Angeles, USA), Jyun-Yu Jiang (University of California, Los Angeles, USA), Xiusi Chen (University of California, Los Angeles, USA), Wei Wang (University of California, Los Angeles, USA)
  • A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage ‐ Haoyu Wang (Purdue University, USA), Yaqing Wang (Purdue University, USA), Defu Lian (University of Science and Technology of China & Yangtze River Delta Information Intelligence Innovation Research Institute, China), Jing Gao (Purdue University, USA)
  • Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding ‐ Zhehan Liang (Xiamen University, China), Yu Rong (Tencent AI Lab, China), Chenxin Li (Xiamen University, China), Yunlong Zhang (Xiamen University, China), Yue Huang (Xiamen University, China), Tingyang Xu (Tencent AI Lab, China), Xinghao Ding (Xiamen University, China), Junzhou Huang (Tencent AI Lab, China)
  • AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction ‐ Zhikun Wei (Tsinghua University, China), Xin Wang (Tsinghua University & Pengcheng Laboratory, China), Wenwu Zhu (Tsinghua University & Pengcheng Laboratory, China)
  • Inductive Matrix Completion Using Graph Autoencoder ‐ Wei Shen (Nanjing University, China), Chuheng Zhang (Tsinghua University, China), Yun Tian (ShanghaiTech University, China), Liang Zeng (Tsinghua University, China), Xiaonan He (Beihang University, China), Wanchun Dou (Nanjing University, China), Xiaolong Xu (Nanjing University of Information Science and Technology, China)
  • CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation ‐ Xidong Feng (University College London, United Kingdom), Chen Chen (Noah's Ark Lab, Huawei, China), Dong Li (Noah's Ark Lab, Huawei, China), Mengchen Zhao (Noah's Ark Lab, Huawei, China), Jianye Hao (Noah's Ark Lab, Huawei, China), Jun Wang (University College London, United Kingdom)
  • Pooling Architecture Search for Graph Classification ‐ Lanning Wei (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; & 4Paradigm. Inc., China), Huan Zhao (4Paradigm. Inc., China), Quanming Yao (4Paradigm. Inc.& Department of Electronic Engineering, Tsinghua University, China), Zhiqiang He (Institute of Computing Technology, Chinese Academy of Sciences & Lenovo, China)
  • Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model ‐ Linhao Luo (Harbin Institute of Technology, Shenzhen, China), Yixiang Fang (The Chinese University of Hong Kong, Shenzhen, China), Xin Cao (The University of New South Wales, Australia), Xiaofeng Zhang (Harbin Institute of Technology, Shenzhen, China), Wenjie Zhang (The University of New South Wales, Australia)
  • Understanding Event Predictions via Contextualized Multilevel Feature Learning ‐ Songgaojun Deng (Stevens Institute of Technology, USA), Huzefa Rangwala (George Mason University, USA), Yue Ning (Stevens Institute of Technology, USA)
  • Fast and Accurate Anchor Graph-based Label Prediction ‐ Yasuhiro Fujiwara (NTT Communication Science Laboratories, Japan), Yasutoshi Ida (NTT Computer and Data Science Laboratories, Japan), Atsutoshi Kumagai (NTT Computer and Data Science Laboratories, Japan), Sekitoshi Kanai (NTT Computer and Data Science Laboratories, Japan), Naonori Ueda (NTT Communication Science Laboratories, Japan)
  • ClaSP - Time Series Segmentation ‐ Patrick Schäfer (Humboldt-Universität zu Berlin, Germany), Arik Ermshaus (Humboldt-Universität zu Berlin, Germany), Ulf Leser (Humboldt-Universität zu Berlin, Germany)
  • Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing ‐ Ziwei Wang (University of Electronic Science and Technology of China, China), Yan Zhao (Aalborg University, Denmark), Xuanhao Chen (University of Electronic Science and Technology of China, China), Kai Zheng (University of Electronic Science and Technology of China, China)
  • Graph Embedding Based on Euclidean Distance Matrix and its Applications ‐ Zhihong Liu (Xidian University, China), Huiyu Li (Xidian University, China), Ruixin Li (Xidian University, China), Yong Zeng (Xidian University, China), Jianfeng Ma (Xidian University, China)
  • An Effective Non-Autoregressive Model for Spoken Language Understanding ‐ Lizhi Cheng (Shanghai JiaojinTong University, China), Weijia Jia (Beijing Normal University (BNU Zhuhai) & BNU-HKBU United International College, China), Wenmian Yang (Shanghai JiaojinTong University, China)
  • Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images ‐ Zhongwei Xie (Georgia Institute of Technology & Wuhan University of Technology, USA), Ling Liu (Georgia Institute of Technology, USA), Lin Li (Wuhan University of Technology, China), Luo Zhong (Wuhan University of Technology, China)
  • A Deep Learning Framework for Self-evolving Hierarchical Community Detection ‐ Daizong Ding (Fudan University, China), Mi Zhang (Fudan University, China), Hanrui Wang (Fudan University, China), Xudong Pan (Fudan University, China), Min Yang (Fudan University, China), Xiangnan He (University of Science and Technology of China, China)
  • CANN: Coupled Approximation Neural Network for Partial Domain Adaptation ‐ Cheng Feng (Fujitsu R&D Center, Co., LTD, China), Chaoliang Zhong (Fujitsu R&D Center, Co., LTD, China), Jie Wang (Fujitsu R&D Center, Co., LTD, China), Jun Sun (Fujitsu R&D Center, Co., LTD, China), Yasuto Yokota (Fujitsu Laboratories, Japan)
  • Cache-based GNN System for Dynamic Graphs ‐ Haoyang Li (The Hong Kong University of Science and Technology, China), Lei Chen (The Hong Kong University of Science and Technology, China)
  • Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank ‐ Ali Vardasbi (University of Amsterdam, Netherlands), Maarten de Rijke (University of Amsterdam, Netherlands), Ilya Markov (University of Amsterdam, Netherlands)
  • GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation ‐ Changsheng Ma (King Abdullah University of Science and Technology, Saudi Arabia), Xiangliang Zhang (King Abdullah University of Science and Technology, Saudi Arabia)
  • Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval ‐ Tan Yu (Baidu Research, USA), Yi Yang (Baidu Inc., China), Hongliang Fei (Baidu Research, USA), Yi Li (Baidu Inc., China), Xiaodong Chen (Baidu Inc., China), Ping Li (Baidu Research, USA)
  • QuAX: Mining the Web for High-utility FAQ ‐ Muhammad Shihab Rashid (University of California, Riverside, USA), Fuad Jamour (University of California, Riverside, USA), Vagelis Hristidis (University of California, Riverside, USA)
  • Two-tier Graph Contextual Embedding for Cross-device User Matching ‐ Hongren Huang (Beihang University, China), Shu Guo (National Computer Network Emergency Response Technical Team/Coordination Center of China, China), Chen Li (Beihang University, China), Jiawei Sheng (Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Lihong Wang (National Computer Network Emergency Response Technical Team/Coordination Center of China, China), Jianxin Li (Beihang University, China), Jing Liu (National Computer Network Emergency Response Technical Team/Coordination Center of China, China), Shenghai Zhong (Beihang University, China)
  • Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders ‐ Qitian Wu (Shanghai Jiao Tong University, China), Chenxiao Yang (Shanghai Jiao Tong University, China), Shuodian Yu (Shanghai Jiao Tong University, China), Xiaofeng Gao (Shanghai Jiao Tong University, China), Guihai Chen (Shanghai Jiao Tong University, China)
  • MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text ‐ Muchao Ye (The Pennsylvania State University, USA), Suhan Cui (The Pennsylvania State University, USA), Yaqing Wang (Purdue University, USA), Junyu Luo (The Pennsylvania State University, USA), Cao Xiao (Amplitude, USA), Fenglong Ma (The Pennsylvania State University, USA)
  • Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis ‐ Xinping Wang (East China Normal University, China), Caidie Huang (East China Normal University, China), Jinfang Cai (East China Normal University, China), Liangyu Chen (East China Normal University, China)
  • Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation ‐ Chunyang Wang (Shanghai Jiao Tong University, China), Yanmin Zhu (Shanghai Jiao Tong University, China), Haobing Liu (Shanghai Jiao Tong University, China), Wenze Ma (Shanghai Jiao Tong University, China), Tianzi Zang (Shanghai Jiao Tong University, China), Jiadi Yu (Shanghai Jiao Tong University, China)
  • Towards Self-Explainable Graph Neural Network ‐ Enyan Dai (The Pennsylvania State University, USA), Suhang Wang (The Pennsylvania State University, USA)
  • Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction ‐ Xiaoyu You (Fudan University, China), Mi Zhang (Fudan University, China), Daizong Ding (Fudan University, China), Fuli Feng (National University of Singapore, Singapore), Yuanmin Huang (Fudan University, China)
  • Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer ‐ Ziwei Fan (University of Illinois at Chicago, USA), Zhiwei Liu (University of Illinois at Chicago, USA), Jiawei Zhang (University of California, Davis, USA), Yun Xiong (Fudan University, China), Lei Zheng (Pinterest Inc., USA), Philip S. Yu (University of Illinois at Chicago, USA)
  • DCAP: Deep Cross Attentional Product Network for User Response Prediction ‐ Zekai Chen (George Washington University, USA), Fangtian Zhong (George Washington University, USA), Zhumin Chen (Shandong University, China), Xiao Zhang (Shandong University, China), Robert Pless (George Washington University, USA), Xiuzhen Cheng (Shandong University, China)
  • Extracting Attentive Social Temporal Excitation for Sequential Recommendation ‐ Yunzhe Li (Shanghai Jiao Tong University, China), Yue Ding (Shanghai Jiao Tong University, China), Bo Chen (Huawei Noah’s Ark Lab, China), Xin Xin (University of Glasgow, United Kingdom), Yule Wang (Shanghai Jiao Tong University, China), Yuxiang Shi (Shanghai Jiao Tong University, China), Ruiming Tang (Huawei Noah’s Ark Lab, China), Dong Wang (Shanghai Jiao Tong University, China)
  • Influence-guided Data Augmentation for Neural Tensor Completion ‐ Sejoon Oh (Georgia Institute of Technology, USA), Sungchul Kim (Adobe Research, USA), Ryan A. Rossi (Adobe Research, USA), Srijan Kumar (Georgia Institute of Technology, USA)
  • AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter ‐ Yushun Dong (University of Virginia, USA), Kaize Ding (Arizona State University, USA), Brian Jalaian (Army Research Laboratory, USA), Shuiwang Ji (Texas A&M University, USA), Jundong Li (University of Virginia, USA)
  • HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities ‐ Jiayi Chen (University of Virginia, USA), Aidong Zhang (University of Virginia, USA)
  • Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection ‐ Kai Burkholder (University of San Francisco, USA), Kenny Kwock (Lehigh University, USA), Yuesheng Xu (New York University, USA), Jiaxin Liu (Lehigh University, USA), Chao Chen (Lehigh University, USA), Sihong Xie (Lehigh University, USA)
  • Efficient Hyperparameter Optimization under Multi-Source Covariate Shift ‐ Masahiro Nomura (CyberAgent, Inc., Japan), Yuta Saito (Hanjuku-kaso, Co., Ltd., Japan)
  • Learning to Cluster via Same-Cluster Queries ‐ Yi Li (Nanyang Technological University, Singapore), Yan Song (Indiana University Bloomington, USA), Qin Zhang (Indiana University Bloomington, USA)
  • Signed Bipartite Graph Neural Networks ‐ Junjie Huang (Institute of ComputingTechnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China), Huawei Shen (Institute of ComputingTechnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China), Qi Cao (Institute of ComputingTechnology, Chinese Academy of Sciences, China), Shuchang Tao (Institute of ComputingTechnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences, China)
  • Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization ‐ Jingchao Ni (NEC Laboratories America, USA), Zhengzhang Chen (NEC Laboratories America, USA), Wei Cheng (NEC Laboratories America, USA), Bo Zong (Salesforce, USA), Dongjin Song (University of Connecticut, USA), Yanchi Liu (NEC Laboratories America, USA), Xuchao Zhang (NEC Laboratories America, USA), Haifeng Chen (NEC Laboratories America, USA)
  • Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing ‐ Baolai Wang (National University of Defense Technology, China), Shaojing Fu (National University of Defense Technology, China), Xuyun Zhang (Macquarie University, Australia), Tao Xie (National University of Defense Technology, China), Lingjuan Lyu (National University of Singapore, Singapore), Yuchuan Luo (National University of Defense Technology, China)
  • AdaSim: A Recursive Similarity Measure in Graphs ‐ Masoud Rehyani Hamedani (Hanyang University, Republic of Korea), Sang-Wook Kim (Hanyang University, Republic of Korea)
  • Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits ‐ Weiyu Ju (The University of Sydney, Australia), Wei Bao (The University of Sydney, Australia), Liming Ge (The University of Sydney, Australia), Dong Yuan (The University of Sydney, Australia)
  • AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation ‐ Yixiang Yao (USC & Information Sciences Institute, USA), Tanmay Ghai (USC & Information Sciences Institute, USA), Srivatsan Ravi (USC & Information Sciences Institute, USA), Pedro Szekely (USC & Information Sciences Institute, USA)
  • L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning ‐ Keith G. Mills (University of Alberta, Canada), Fred X. Han (Huawei Technologies, Canada), Mohammad Salameh (Huawei Technologies, Canada), Seyed Saeed Changiz Rezaei (Huawei Technologies, Canada), Linglong Kong (University of Alberta, Canada), Wei Lu (Huawei Technologies, Canada), Shuo Lian (Huawei Kirin Solution, China), Shangling Jui (Huawei Kirin Solution, China), Di Niu (University of Alberta, Canada)
  • Single Node Injection Attack against Graph Neural Networks ‐ Shuchang Tao (Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences, China), Qi Cao (Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China), Huawei Shen (Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences, China), Junjie Huang (Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences, China), Yunfan Wu (Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences, China), Xueqi Cheng (:CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences, China)
  • Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays ‐ Somjit Nath (TCS Research, India), Mayank Baranwal (TCS Research & IIT Bombay, India), Harshad Khadilkar (TCS Research & IIT Bombay, India)
  • Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph ‐ Mingxi Zhang (University of Shanghai for Science and Technology, China), Xifeng Yan (University of California, Santa Barbara, USA), Wei Wang (Fudan University, China)
  • Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation ‐ Weichao Wang (Northeastern University, China), Wei Gao (Singapore Management University, Singapore), Shi Feng (Northeastern University, China), Ling Chen (University of Technology Sydney, Australia), Daling Wang (Northeastern University, China)
  • The Skyline of Counterfactual Explanations for Machine Learning Decision Models ‐ Yongjie Wang (Nanyang Technological University, Singapore), Qinxu Ding (Nanyang Technological University, Singapore), Ke Wang (Simon Fraser University, Canada), Yue Liu (Alibaba Group, China), Xingyu Wu (Alibaba Group, China), Jinglong Wang (Alibaba Group, China), Yong Liu (Nanyang Technological University, Singapore), Chunyan Miao (Nanyang Technological University, Singapore)
  • Large-scale Secure XGB for Vertical Federated Learning ‐ Wenjing Fang (Ant Group, China), Derun Zhao (Ant Group, China), Jin Tan (Ant Group, China), Chaochao Chen (Ant Group, China), Chaofan Yu (Ant Group, China), Li Wang (Ant Group, China), Lei Wang (Ant Group, China), Jun Zhou (Ant Group, China), Benyu Zhang (Ant Group, USA)
  • Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations ‐ Weihao Gao (ByteDance Inc., China), Xiangjun Fan (ByteDance Inc., USA), Chong Wang (ByteDance Inc., USA), Jiankai Sun (ByteDance Inc., USA), Kai Jia (ByteDance Inc., China), Wenzi Xiao (ByteDance Inc., China), Ruofan Ding (ByteDance Inc., USA), Xingyan Bin (ByteDance Inc., China), Hui Yang (ByteDance Inc., China), Xiaobing Liu (ByteDance Inc., USA)
  • Clustering of Conversational Bandits for User Preference Learning and Elicitation ‐ Junda Wu (New York University, USA), Canzhe Zhao (Shanghai Jiao Tong University, China), Tong Yu (Carnegie Mellon University, USA), Jingyang Li (Chinese Academy of Sciences, China), Shuai Li (Shanghai Jiao Tong University, China)
  • Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism ‐ Wendong Zheng (Sun Yat-sen University, China), Putian Zhao (Sun Yat-sen University, China), Kai Huang (Sun Yat-sen University, China), Gang Chen (Sun Yat-sen University, China)
  • Pruning Meta-Trained Networks for On-Device Adaptation ‐ Dawei Gao (Beihang University, China), Xiaoxi He (ETH Zürich, Switzerland), Zimu Zhou (Singapore Management University, Singapore), Yongxin Tong (Beihang University, China), Lothar Thiele (ETH Zürich, Switzerland)
  • Block Access Pattern Discovery via Compressed Full Tensor Transformer ‐ Xing Li (Huawei Noah’s Ark Lab, China), Qiquan Shi (Huawei Noah’s Ark Lab, China), Gang Hu (Huawei Data Storage, China), Lei Chen (Huawei Noah’s Ark Lab, China), Hui Mao (Huawei Noah’s Ark Lab, China), Yiyuan Yang (Tsinghua University, China), Mingxuan Yuan (Huawei Noah’s Ark Lab, China), Jia Zeng (Huawei Noah’s Ark Lab, China), Zhuo Cheng (Huawei Data Storage & Tsinghua University, China)
  • Generating Compositional Color Representations from Text ‐ Paridhi Maheshwari (Stanford University, USA), Nihal Jain (Carnegie Mellon University, USA), Praneetha Vaddamanu (Adobe Research, India), Dhananjay Raut (Adobe, India), Shraiysh Vaishay (Advanced Micro Devices Inc., India), Vishwa Vinay (Adobe Research, India)
  • AdaRNN: Adaptive Learning and Forecasting of Time Series ‐ Yuntao Du (Nanjing University, China), Jindong Wang (Microsoft Research Asia, China), Wenjie Feng (National University of Singapore, Singapore), Sinno Pan (Nanyang Technological University, Singapore), Tao Qin (Microsoft Research Asia, China), Renjun Xu (Zhejiang University, China), Chongjun Wang (Nanjing University, China)
  • Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation ‐ Ke Tu (Ant Group, China), Peng Cui (Tsinghua University, China), Daixin Wang (Ant Group, China), Zhiqiang Zhang (Ant Group, China), Jun Zhou (Ant Group, China), Yuan Qi (Ant Group, China), Wenwu Zhu (Tsinghua University, China)
  • Topic Modeling for Multi-Aspect Listwise Comparisons ‐ Delvin Ce Zhang (Singapore Management University, Singapore), Hady W. Lauw (Singapore Management University, Singapore)
  • Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information ‐ Han Zhang (University of New South Wales, Australia), Yu Hao (University of New South Wales, Australia), Xin Cao (University of New South Wales, Australia), Yixiang Fang (The Chinese University of Hong Kong, Shenzhen, China), Won-Yong Shin (Yonsei University, Republic of Korea), Wei Wang (The Hong Kong University of Science and Technology,, China)
  • Estimating Average Treatment Effects via Orthogonal Regularization ‐ Tobias Hatt (ETH Zurich, Switzerland), Stefan Feuerriegel (ETH Zurich, Switzerland)
  • Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural Networks ‐ Tobias Weller (University of Mannheim, Germany), Maribel Acosta (Ruhr University Bochum, Germany)
  • Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees ‐ Panpan Qi (National University of Singapore, Singapore), Wei Wang (National University of Singapore, Singapore), Lei Zhu (National University of Singapore, Singapore), See Kiong Ng (National University of Singapore, Singapore)
  • CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse Rewards ‐ Huanhuan Yang (National University of Defense Technology, China), Dianxi Shi (Defense Innovation Institute & Tianjin Artificial Intelligence Innovation Center, China), Chenran Zhao (National University of Defense Technology, China), Guojun Xie (Nanjing University of Aeronautics and Astronautics, China), Shaowu Yang (National University of Defense Technology, China)
  • Fairness-Aware Training of Decision Trees by Abstract Interpretation ‐ Francesco Ranzato (University of Padova, Italy), Caterina Urban (INRIA and Ecole Normale Superieure & Universite' PSL, France), Marco Zanella (University of Padova, Italy)
  • Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance ‐ Jingtao Zhan (Beijing National Research Center for Information Science and Technology & Tsinghua University, China), Jiaxin Mao (Gaoling School of Artificial Intelligence, Renmin University of China, China), Yiqun Liu (Beijing National Research Center for Information Science and Technology & Tsinghua University, China), Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences, China), Min Zhang (Beijing National Research Center for Information Science and Technology & Tsinghua University, China), Shaoping Ma (Beijing National Research Center for Information Science and Technology & Tsinghua University, China)
  • Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning ‐ Paul J. Pritz (Imperial College London, United Kingdom), Liang Ma (Dataminr, USA), Kin K. Leung (Imperial College London, United Kingdom)
  • Fast Extraction of Word Embedding from Q-contexts ‐ Junsheng Kong (South China University of Technology, China), Weizhao Li (South China University of Technology, China), Zeyi Liu (University of Cambridge, United Kingdom), Ben Liao (Tencent Quantum Lab, China), Jiezhong Qiu (Tsinghua University, China), Chang-Yu Hsieh (Tencent Quantum Lab, China), Yi Cai (School of Software Engineering, South China University of Technology, China), Shengyu Zhang (Tencent Quantum Lab, China)
  • k-sums Clustering: A Stochastic Optimization Approach ‐ Wan-Lei Zhao (Xiamen University, China), Shi-Ying Lan (Xiamen University, China), Run-Qing Chen (Xiamen University, China), Chong-Wah Ngo (Singapore Management University, Singapore)
  • Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising ‐ Haizhi Yang (South China University of Technology, China), Tengyun Wang (South China University of Technology, China), Xiaoli Tang (Nanyang Technological University, Singapore), Qianyu Li (South China University of Technology, China), Yueyue Shi (South China University of Technology, China), Siyu Jiang (Guangdong University of Foreign Studies, China), Han Yu (Nanyang Technological University, Singapore), Hengjie Song (South China University of Technology, China)
  • Fast k-NN Graph Construction by GPU based NN-Descent ‐ Hui Wang (Xiamen University, China), Wan-Lei Zhao (Xiamen University, China), Xiangxiang Zeng (Hunan University, China), Jianye Yang (Hunan University, China)
  • Driving the Herd: Search Engines as Content Influencers ‐ Gregory Goren (eBay Research, Israel), Oren Kurland (Technion, Israel), Moshe Tennenholtz (Technion, Israel), Fiana Raiber (Yahoo Research, Israel)
  • On Influencing the Influential: Disparity Seeding ‐ Ya-Wen Teng (Academia Sinica, Taiwan Roc), Hsi-Wen Chen (Academia Sinica, Taiwan Roc), De-Nian Yang (Academia Sinica, Taiwan Roc), Yvonne-Anne Pignolet (DFINITY, Switzerland), Ting-Wei Li (Academia Sinica, Taiwan Roc), Lydia Chen (Delft University of Technology, Netherlands)
  • Self-Supervised Graph Co-Training for Session-based Recommendation ‐ Xin Xia (The University of Queensland, Australia), Hongzhi Yin (The University of Queensland, Australia), Junliang Yu (The University of Queensland, Australia), Yingxia Shao (Beijing University of Posts and Telecommunications, China), Lizhen Cui (Shandong University, China)
  • Answering POI-recommendation Questions using Tourism Reviews ‐ Danish Contractor (IBM Research AI & Indian Institute of Technology Delhi, India), Krunal Shah (Indian Institute of Technology Delhi, India), Aditi Partap (Indian Institute of Technology Delhi, India), Parag Singla (Indian Institute of Technology Delhi, India), Mausam Mausam (Indian Institute of Technology Delhi, India)
  • POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence ‐ Rahul Mishra (University of Stavanger, Norway), Shuo Zhang (Bloomberg, United Kingdom)
  • Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding ‐ Yufeng Zhang (Soochow University, China), Weiqing Wang (Monash University, Australia), Wei Chen (Soochow University, China), Jiajie Xu (Soochow University, China), An Liu (Soochow University, China), Lei Zhao (Soochow University, China)
  • When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations ‐ Shangfei Zheng (Soochow University, China), Wei Chen (Soochow University, China), Pengpeng Zhao (Soochow University, China), An Liu (Soochow University, China), Junhua Fang (Soochow University, China), Lei Zhao (Soochow University, China)
  • Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling ‐ Yue Liu (Tsinghua University, China), Xin Wang (Tsinghua University & Pengcheng Laboratory, China), Xue Xu (Tencent, China), Jianbo Yang (Tencent, China), Wenwu Zhu (Tsinghua University & Pengcheng Laboratory, China)
  • Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach ‐ Xin Sun (Tianjin University, China), Xin Huang (Hong Kong Baptist University, China), Zitan Sun (Hong Kong Baptist University, China), Di Jin (Tianjin University, China)
  • Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation ‐ Yue Ding (Shanghai Jiao Tong University, China), Yuxiang Shi (Shanghai Jiao Tong University, China), Bo Chen (Noah's Ark Lab, Huawei, China), Chenghua Lin (The University of Sheffield, United Kingdom), Hongtao Lu (Shanghai Jiao Tong University, China), Jie Li (Shanghai Jiao Tong University, China), Ruiming Tang (Noah's Ark Lab, Huawei, China), Dong Wang (Shanghai Jiao Tong University, China)
  • FedMatch: Federated Learning Over Heterogeneous Question Answering Data ‐ Jiangui Chen (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Ruqing Zhang (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Yixing Fan (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment ‐ Kaichun Yao (Baidu Inc., China), Chuan Qin (Baidu Inc., China), Hengshu Zhu (Baidu Inc., China), Chao Ma (Baidu Inc., China), Jingshuai Zhang (Baidu Inc., China), Yi Du (Chinese Academy of Sciences, China), Hui Xiong (The Hong Kong University of Science and Technology, China)
  • Automated Selection of Multiple Datasets for Extension by Integration ‐ Yael Amsterdamer (Bar-Ilan University, Israel), Moran Cohen (Bar-Ilan University, Israel)
  • Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary ‐ Bosung Kim (Sungkyunkwan University, Republic of Korea), Hyewon Choi (Sungkyunkwan University, Republic of Korea), Haeun Yu (Sungkyunkwan University, Republic of Korea), Youngjoong Ko (Sungkyunkwan University, Republic of Korea)
  • Generative Inverse Deep Reinforcement Learning for Online Recommendation ‐ Xiaocong Chen (University of New South Wales, Australia), Lina Yao (University of New South Wales, Australia), Aixin Sun (Nanyang Technological University, Singapore), Xianzhi Wang (University of Technology Sydney, Australia), Xiwei Xu (Data 61, CSIRO, Australia), Liming Zhu (Data 61, CSIRO, Australia)
  • PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling ‐ Yujia Zhou (Renmin University of China, China), Zhicheng Dou (Renmin University of China, China), Yutao Zhu (Université de Montréal, Canada), Ji-Rong Wen (Beijing Key Laboratory of Big Data Management and Analysis Methods & Key Laboratory of Data Engineering and Knowledge Engineering, MOE, China)
  • Relation Network and Causal Reasoning for Image Captioning ‐ Dongming Zhou (Guangxi Normal University, China), Jing Yang (Guangxi Normal University, China)
  • Metric Sentiment Learning for Label Representation ‐ Chengyu Song (National University of Defense Technology, China), Fei Cai (National University of Defense Technology, China), Jianming Zheng (National University of Defense Technology, China), Wanyu Chen (National University of Defense Technology, China), Zhiqiang Pan (National University of Defense Technology, China)
  • Agenda: Robust Personalized PageRanks in Evolving Graphs ‐ Dingheng Mo (Nanyang Technological University, Singapore), Siqiang Luo (Nanyang Technological University, Singapore)
  • Semi-supervised Multi-label Learning for Graph-structured Data ‐ Zixing Song (The Chinese University of Hong Kong, Hong Kong), Ziqiao Meng (The Chinese University of Hong Kong, Hong Kong), Yifei Zhang (The Chinese University of Hong Kong, Hong Kong), Irwin King (The Chinese University of Hong Kong, Hong Kong)
  • Incremental Graph Convolutional Network for Collaborative Filtering ‐ Jiafeng Xia (Fudan University, China), Dongsheng Li (Microsoft Research Asia, China), Hansu Gu (Independent, USA), Tun Lu (Fudan University, China), Peng Zhang (Fudan University, China), Ning Gu (Fudan University, China)
  • Grammatical Error Correction with Dependency Distance ‐ Haowen Lin (University of Science and Technology of China, China), Jinlong Li (University of Science and Technology of China, China), Xu Zhang (University of Science and Technology of China, China), Huanhuan Chen (University of Science and Technology of China, China)
  • Click-Through Rate Prediction with Multi-Modal Hypergraphs ‐ Li He (University of Technology Sydney, Australia), Hongxu Chen (University of Technology Sydney, Australia), Dingxian Wang (eBay Research America, USA), Shoaib Jameel (University of Essex, United Kingdom), Philip Yu (University of Illinois at Chicago, USA), Guandong Xu (University of Technology Sydney, Australia)
  • Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization ‐ Lei Shen (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Haolan Zhan (University of Chinese Academy of Sciences, China), Xin Shen (Australian National University, Australia), Hongshen Chen (JD.com, China), Xiaofang Zhao (Institute of Computing Technology, Chinese Academy of Sciences, China), Xiaodan Zhu (Queen's University, Canada)
  • Multi-Factors Aware Dual-Attentional Knowledge Tracing ‐ Moyu Zhang (Beijing University of Posts and Telecommunications, China), Xinning Zhu (Beijing University of Posts and Telecommunications, China), Chunhong Zhang (Beijing University of Posts and Telecommunications, China), Yang Ji (Beijing University of Posts and Telecommunications, China), Feng Pan (Beijing University of Posts and Telecommunications, China), Changchuan Yin (Beijing University of Posts and Telecommunications, China)
  • Efficient Multi-Scale Feature Generation Adaptive Network ‐ Gwanghan Lee (Sungkyunkwan University, Republic of Korea), Minha Kim (Sungkyunkwan University, Republic of Korea), Minha Kim (Sungkyunkwan University, Republic of Korea), Simon S. Woo (Sungkyunkwan University, Republic of Korea)
  • Hierarchical Semantics Matching For Heterogeneous Spatio-temporal Sources ‐ Daniel Glake (Universität Hamburg, Germany), Norbert Ritter (Universität Hamburg, Germany), Florian Ocker (Hamburg University of Applied Sciences, Germany), Nima Ahmady-Moghaddam (Hamburg University of Applied Sciences, Germany), Daniel Osterholz (Hamburg University of Applied Sciences, Germany), Ulfia Lenfers (Hamburg University of Applied Sciences, Germany), Thomas Clemen (Hamburg University of Applied Sciences, Germany)
  • Corrective Guidance and Learning for Dialogue Management ‐ Mahdin Rohmatillah (National Yang Ming Chiao Tung University, Taiwan Roc), Jen-Tzung Chien (National Yang Ming Chiao Tung University, Taiwan Roc)
  • Mining Cross Features for Financial Credit Risk Assessment ‐ Qiang Liu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Zhaocheng Liu (RealAI, China), Haoli Zhang (RealAI, China), Yuntian Chen (Peng Cheng Laboratory, China), Jun Zhu (Tsinghua University, China)
  • GraphITE: Estimating Individual Effects of Graph-structured Treatments ‐ Shonosuke Harada (Kyoto University, Japan), Hisashi Kashima (Kyoto University, Japan)
  • Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs ‐ Garima Gaur (Indian Institute of Technology, Kanpur, India), Abhishek Dang (Indian Institute of Technology, Kanpur, India), Arnab Bhattacharya (Indian Institute of Technology, Kanpur, India), Srikanta Bedathur (Indian Institute of Technology, Delhi, India)
  • Explanations for Data Repair Through Shapley Values ‐ Daniel Deutch (Tel Aviv University, Israel), Nave Frost (Tel Aviv University, Israel), Amir Gilad (Duke University, USA), Oren Sheffer (Tel Aviv University, Israel)
  • Learning to Augment Imbalanced Data for Re-ranking Models ‐ Zi-Hao Qiu (Nanjing University, China), Ying-Chun Jian (Nanjing University, China), Qing-Guo Chen (Alibaba Group, China), Lijun Zhang (Nanjing University, China)
  • Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring ‐ Yaman Kumar Singla (IIIT-Delhi, Adobe, & SUNY-Buffalo, India), Avyakt Gupta (IIIT-Delhi, India), Shaurya Bagga (IIIT-Delhi, India), Changyou Chen (SUNY-Buffalo, USA), Balaji Krishnamurthy (Adobe, India), Rajiv Ratn Shah (IIIT-Delhi, India)
  • Representation Learning via Variational Bayesian Networks ‐ Oren Barkan (The Open University & Microsoft, Israel), Avi Caciularu (Bar-Ilan University, Israel), Idan Rejwan (AI21 Labs, Israel), Ori Katz (Microsoft & Technion, Israel), Jonathan Weill (Microsoft, Israel), Itzik Malkiel (Microsoft & Tel-Aviv University, Israel), Noam Koenigstein (Microsof & Tel-Aviv University, Israel)
  • iMap: Incremental Node Mapping between Large Graphs Using GNN ‐ Yikuan Xia (Peking University, China), Jun Gao (Peking University, China), Bin Cui (Peking University, China)
  • Zero-shot Relation Classification from Side Information ‐ Jiaying Gong (Virginia Tech, USA), Hoda Eldardiry (Virginia Tech, USA)
  • ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations ‐ Ryma Boumazouza (Univ. Artois, CNRS, Centre de Recherche en Informatique de Lens (CRIL), F-62300, France), Fahima Cheikh-Alili (Univ. Artois, CNRS, Centre de Recherche en Informatique de Lens (CRIL), F-62300, France), Bertrand Mazure (Univ. Artois, CNRS, Centre de Recherche en Informatique de Lens (CRIL), F-62300, France), Karim Tabia (Univ. Artois, CNRS, Centre de Recherche en Informatique de Lens (CRIL), F-62300, France)
  • SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL ‐ Dawid Wisniewski (Poznan University of Technology, Poland), Jedrzej Potoniec (Poznan University of Technology, Poland), Agnieszka Lawrynowicz (Poznan University of Technology, Poland)
  • MentalSpot: Effective Early Screening for Depression Based on Social Contagion ‐ Jahandad Pirayesh (California State University Sacramento, USA), Haiquan Chen (California State University Sacramento, USA), Xiao Qin (Auburn University, USA), Wei-Shinn Ku (Auburn University, USA), Da Yan (University of Alabama at Birmingham, USA)
  • Action Sequence Augmentation for Early Graph-based Anomaly Detection ‐ Tong Zhao (University of Notre Dame, USA), Bo Ni (University of Notre Dame, USA), Wenhao Yu (University of Notre Dame, USA), Zhichun Guo (University of Notre Dame, USA), Neil Shah (Snap Inc., USA), Meng Jiang (University of Notre Dame, USA)
  • Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction ‐ Yue Cui (University of Electronic Science and Technology of China, China), Chen Zhu (University of Electronic Science and Technology of China, China), Guanyu Ye (University of Electronic Science and Technology of China, China), Ziwei Wang (University of Electronic Science and Technology of China, China), Kai Zheng (University of Electronic Science and Technology of China, China)
  • Entity and Relation Matching Consensus for Entity Alignment ‐ Jinzhu Yang (University of Chinese Academy of Sciences Institute of Information Engineering & Chinese Academy of Sciences, China), Ding Wang (University of Chinese Academy of Sciences Institute of Information Engineering & Chinese Academy of Sciences, China), Wei Zhou (University of Chinese Academy of Sciences Institute of Information Engineering & Chinese Academy of Sciences, China), Wanhui Qian (University of Chinese Academy of Sciences Institute of Information Engineering & Chinese Academy of Sciences, China), Xin Wang (Chinese Academy of Sciences, China), Jizhong Han (Institute of Information Engineering, Chinese Academy of Sciences, China), Songlin Hu (University of Chinese Academy of Sciences Institute of Information Engineering & Chinese Academy of Sciences, China)
  • Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions ‐ Zihan Gao (University of Wisconsin-Madison, USA), Jiepu Jiang (University of Wisconsin-Madison, USA)
  • Mining Bursty Groups from Interaction Data ‐ Alexander Gorovits (University at Albany -- SUNY, USA), Lin Zhang (Tencent.com, China), Ekta Gujral (University of California, Riverside, USA), Evangelos Papalexakis (University of California, Riverside, USA), Petko Bogdanov (University at Albany -- SUNY, USA)
  • WG4Rec: Modeling Textual Content with Word Graph for News Recommendation ‐ Shaoyun Shi (Tsinghua University, China), Weizhi Ma (Tsinghua University, China), Zhen Wang (Tsinghua University, China), Min Zhang (Tsinghua University, China), Kun Fang (Sogou Inc., China), Jingfang Xu (Sogou Inc., China), Yiqun Liu (Tsinghua University, China), Shaoping Ma (Tsinghua University, China)
  • Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing ‐ Sindhu C. M. Gowda (University of Toronto & Vector Institute, Canada), Shalmali Joshi (Harvard University, USA), Haoran Zhang (University of Toronto & Vector Institute, Canada), Marzyeh Ghassemi (Massachusetts Institute of Technology, USA)
  • Self-supervised Representation Learning on Dynamic Graphs ‐ Sheng Tian (Ant Group, China), Ruofan Wu (Ant Group, China), Leilei Shi (Ant Group, China), Liang Zhu (Ant Group, China), Tao Xiong (Ant Group, China)
  • Contrastive Pre-Training of GNNs on Heterogeneous Graphs ‐ Xunqiang Jiang (Beijing University of Posts and Telecommunications, China), Yuanfu Lu (Tencent Inc, China), Yuan Fang (Singapore Management University, Singapore), Chuan Shi (Beijing University of Posts and Telecommunications, China)
  • Neural Information Diffusion Prediction with Topic-Aware Attention Network ‐ Hao Wang (Beijing University of Posts and Telecommunications, China), Cheng Yang (Beijing University of Posts and Telecommunications, China), Chuan Shi (Beijing University of Posts and Telecommunications, China)
  • SNPR: A Serendipity-Oriented Next POI Recommendation Model ‐ Mingwei Zhang (Northeastern University, China), Yang Yang (Northeastern University, China), Rizwan Abbas (Northeastern University, China), Ke Deng (RMIT University, Australia), Jianxin Li (Deakin University, Australia), Bin Zhang (Northeastern University, China)
  • Hyperbolic Hypergraphs for Sequential Recommendation ‐ Yicong Li (University of Technology Sydney, Australia), Hongxu Chen (University of Technology Sydney, Australia), Xiangguo Sun (Southeast University, China), Zhenchao Sun (Shandong University, China), Lin Li (Wuhan University of Technology, China), Lizhen Cui (Shandong University, China), Philip S. Yu (University of Illinois at Chicago, USA), Guandong Xu (University of Technology Sydney, Australia)
  • Summarizing Long-Form Document with Rich Discourse Information ‐ Tianyu Zhu (The University of Queensland, Australia), Wen Hua (The University of Queensland, Australia), Jianfeng Qu (Soochow University, China), Xiaofang Zhou (The Hong Kong University of Science and Technology, China)
  • Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation ‐ Zeyuan Chen (East China Normal University, China), Wei Zhang (East China Normal University, China), Junchi Yan (Shanghai Jiao Tong University, China), Gang Wang (Beijing Institute of Technology, China), Jianyong Wang (Tsinghua University, China)
  • Region Semantically Aligned Network for Zero-Shot Learning ‐ Ziyang Wang (University of Electronic Science and Technology of China, China), Yunhao Gou (University of Electronic Science and Technology of China, China), Jingjing Li (University of Electronic Science and Technology of China, China), Yu Zhang (Southern University of Science and Techonlogy, China), Yang Yang (University of Electronic Science and Technology of China, China)
  • NED: Niche Detection in User Content Consumption Data ‐ Ekta Gujral (University of California, Riverside, USA), Leonardo Neves (Snap Inc., USA), Evangelos Papalexakis (University of California, Riverside, USA), Neil Shah (Snap Inc., USA)
  • REFORM: Error-Aware Few-Shot Knowledge Graph Completion ‐ Song Wang (University of Virginia, USA), Xiao Huang (Hong Kong Polytechnic University, Hong Kong), Chen Chen (University of Virginia, USA), Liang Wu (Linkedin, USA), Jundong Li (University of Virginia, USA)
  • A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network ‐ Yi Liu (Nanjing University of Aeronautics and Astronautics, China), Bohan Li (Nanjing University of Aeronautics and Astronautics, China), Yalei Zang (Nanjing University of Aeronautics and Astronautics, China), Aoran Li (Nanjing University of Aeronautics and Astronautics, China), Hongzhi Yin (The University of Queensland, Australia)
  • Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks ‐ Wenyi Xiao (Hong Kong University of Science and Technology, Hong Kong), Huan Zhao (4Paradigm Inc.,, China), Vincent W. Zheng (WeBank, China), Yangqiu Song (Hong Kong University of Science and Technology & Peng Cheng Laboratory, Hong Kong)
  • FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning ‐ Xin Dai (Worcester Polytechnic Institute, USA), Xiangnan Kong (Worcester Polytechnic Institute, USA), Tian Guo (Worcester Polytechnic Institute, USA), Xinlu He (Worcester Polytechnic Institute, USA)
  • Evaluating Relevance Judgments with Pairwise Discriminative Power ‐ Zhumin Chu (Tsinghua University, China), Jiaxin Mao (Renmin University of China, China), Fan Zhang (Tsinghua University, China), Yiqun Liu (Tsinghua University, China), Tetsuya Sakai (Waseda University, Japan), Min Zhang (Tsinghua University, China), Shaoping Ma (Tsinghua University, China)
  • Lightweight Self-Attentive Sequential Recommendation ‐ Yang Li (The University of Queensland, Australia), Tong Chen (The University of Queensland, Australia), Peng-Fei Zhang (The University of Queensland, Australia), Hongzhi Yin (The University of Queensland, Australia)
  • RxNet: Rx-refill Graph Neural Network for Overprescribing Detection ‐ Jianfei Zhang (Case Western Reserve University & University of Alberta, USA), Ai-Te Kuo (Auburn University, USA), Jianan Zhao (Case Western Reserve University, USA), Qianlong Wen (Case Western Reserve University, USA), Erin Winstanley (West Virginia University, USA), Chuxu Zhang (Brandeis University, USA), Yanfang Ye (Case Western Reserve University & University of Notre Dame, USA)
  • BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data ‐ Amit Livne (Ben-Gurion University of the Negev, Israel), Roy Dor (Ben-Gurion University of the Negev, Israel), Bracha Shapira (Ben-Gurion University of the Negev, Israel), Lior Rokach (Ben-Gurion University of the Negev, Israel)
  • Fraud Detection under Multi-Sourced Extremely Noisy Annotations ‐ Chuang Zhang (Nanjing University of Science and Technology, China), Qizhou Wang (Hong Kong Baptist University, Hong Kong), Tengfei Liu (Ant Group, China), Xun Lu (Ant Group, China), Jin Hong (Ant Group, China), Bo Han (Hong Kong Baptist University, Hong Kong), Chen Gong (Nanjing University of Science and Technology, China)
  • GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps ‐ Oren Barkan (The Open University & Microsoft, Israel), Omri Armstrong (Tel-Aviv University, Israel), Amir Hertz (Microsoft, Israel), Avi Caciularu (Bar-Ilan University, Israel), Ori Katz (Technion & Microsoft, Israel), Itzik Malkiel (Microsoft & Tel-Aviv University, Israel), Noam Koenigstein (Microsoft & Tel-Aviv University, Israel)
  • A Neural Conversation Generation Model via Equivalent Shared Memory Investigation ‐ Changzhen Ji (Harbin Institute of Technology, China), Yating Zhang (Alibaba Group, China), Xiaozhong Liu (Worcester Polytechnic Institute, USA), Adam Jatowt (University of Innsbruck, Austria), Changlong Sun (Alibaba Group, China), Conghui Zhu (Harbin Institute of Technology, China), Tiejun Zhao (Harbin Institute of Technology, China)
  • DSDD: Domain-Specific Dataset Discovery on the Web ‐ Haoxiang Zhang (New York University, USA), Aécio Santos (New York University, USA), Juliana Freire (New York University, USA)
  • POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling ‐ Zeyang Liu (University of Nottingham, United Kingdom), Ke Zhou (University of Nottingham & Nokia Bell Labs, United Kingdom), Jiaxin Mao (Renmin University of China, China), Max L. Wilson (University of Nottingham, United Kingdom)
  • Expanding Relationship for Cross Domain Recommendation ‐ Kun Xu (Sun Yat-sen University, China), Yuanzhen Xie (Sun Yat-sen University, China), Liang Chen (Sun Yat-sen University, China), Zibin Zheng (Sun Yat-sen University, China)
  • DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network ‐ Junkang Wu (University of Science and Technology of China & Meituan, China), Wentao Shi (University of Science and Technology of China, China), Xuezhi Cao (Meituan, China), Jiawei Chen (University of Science and Technology of China, China), Wenqiang Lei (National University of Singapore, Singapore), Fuzheng Zhang (Meituan, China), Wei Wu (Meituan, China), Xiangnan He (University of Science and Technology of China, China)
  • Fine and Coarse Granular Argument Classification before Clustering ‐ Lorik Dumani (Trier University, Germany), Tobias Wiesenfeldt (Johannes Gutenberg University, Germany), Ralf Schenkel (Trier University, Germany)
  • Multiple Exemplars Learning for Fast Image Retrieval ‐ Tan Yu (Baidu Research, USA), Ping Li (Baidu Research, USA)
  • Sparse Shield: Social Network Immunization vs. Harmful Speech ‐ Alexandru Petrescu (University Politehnica of Bucharest, Romania), Ciprian-Octavian Truic? (University Politehnica of Bucharest, Romania), Elena-Simona Apostol (University Politehnica of Bucharest, Romania), Panagiotis Karras (Aarhus University, Denmark)
  • XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management ‐ Si Shi (Huazhong University of Science and Technology, China), Jianjun Li (Huazhong University of Science and Technology, China), Guohui Li (Huazhong University of Science and Technology, China), Peng Pan (Huazhong University of Science and Technology, China), Ke Liu (Huazhong University of Science and Technology, China)
  • Robust Dynamic Clustering for Temporal Networks ‐ Jingyi You (Tokyo Institute of Technology, Japan), Chenlong Hu (Tokyo Institute of Technology, Japan), Hidetaka Kamigaito (Tokyo Institute of Technology, Japan), Kotaro Funakoshi (Tokyo Institute of Technology, Japan), Manabu Okumura (Tokyo Institute of Technology, Japan)
  • Incorporating Query Reformulating Behavior into Web Search Evaluation ‐ Jia Chen (Tsinghua University, China), Yiqun Liu (Tsinghua University, China), Jiaxin Mao (Renmin University of China, China), Fan Zhang (Tsinghua University, China), Tetsuya Sakai (Waseda University, Japan), Weizhi Ma (Tsinghua University, China), Min Zhang (Tsinghua University, China), Shaoping Ma (Tsinghua University, China)
  • What is Next when Sequential Prediction Meets Implicitly Hard Interaction? ‐ Kaixi Hu (Wuhan University of Technology, China), Lin Li (Wuhan University of Technology, China), Qing Xie (Wuhan University of Technology, China), Jianquan Liu (NEC Corporation, Japan), Xiaohui Tao (University of Southern Queensland, Australia)
  • Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation ‐ Yiyu Liu (Wuhan University, China), Qian Liu (Wuhan University, China), Yu Tian (Wuhan University, China), Changping Wang (Kuaishou Technology Co., Ltd., China), Yanan Niu (Kuaishou Technology Co., Ltd., China), Yang Song (Kuaishou Technology Co., Ltd., China), Chenliang Li (Wuhan University, China)
  • Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation Learning ‐ Zhihui Hu (Defense Innovation Institute, China), Guang Kou (Defense Innovation Institute, China), Haoyu Zhang (Defense Innovation Institute, China), Na Li (Defense Innovation Institute, China), Ke Yang (Defense Innovation Institute, China), Lin Liu (National University of Defense Technology, China)
  • HyperGraph Convolution Based Attributed HyperGraph Clustering ‐ Barakeel Fanseu Kamhoua (The Chinese University of Hong Kong, Hong Kong), Lin Zhang (The Hong Kong University of Science and Technology, Hong Kong), Kaili Ma (The Chinese University of Hong Kong, Hong Kong), James Cheng (The Chinese University of Hong Kong, Hong Kong), Bo Li (The Hong Kong University of Science and Technology, Hong Kong), Bo Han (Hong Kong Baptist University, Hong Kong)
  • Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks ‐ Kuangqi Zhou (National University of Singapore, Singapore), Yanfei Dong (National University of Singapore & PayPal Innovation Lab, Singapore), Kaixin Wang (National University of Singapore, Singapore), Wee Sun Lee (National University of Singapore, Singapore), Bryan Hooi (National University of Singapore, Singapore), Huan Xu (Alibaba Group, China), Jiashi Feng (National University of Singapore, Singapore)
  • Popularity-Enhanced News Recommendation with Multi-View Interest Representation ‐ Jingkun Wang (Peking University, China), Yipu Chen (Beihang University, China), Zichun Wang (Peking University, China), Wen Zhao (Peking University, China)
  • SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social Summarization ‐ Huanyu Liu (People's Daily Online & Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, China), Ruifang He (People's Daily Online & Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, China), Liangliang Zhao (Tianjin University, China), Haocheng Wang (Tianjin University, China), Ruifang Wang (Tianjin University, China)
  • Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate Solutions ‐ Hu Wang (Xidian University, China), Hui Li (Xidian University, China), Meng Wang (Xi'an Polytechnic University, China), Jiangtao Cui (Xidian University, China)
  • Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning ‐ Dalong Yang (Sun Yat-Sen University, China), Chuan Chen (Sun Yat-Sen University, China), Youhao Zheng (The University of Sydney, Austria), Zibin Zheng (Sun Yat-Sen University, China), Shih-wei Liao (National Taiwan University, Taiwan Roc)
  • A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion ‐ Naoki Marumo (University of Tokyo & NTT Communication Science Laboratories, Japan), Atsushi Miyauchi (University of Tokyo, Japan), Akiko Takeda (University of Tokyo & RIKEN AIP, Japan), Akira Tanaka (University of Tokyo, Japan)
  • Defining an Optimal Configuration Set for Selective Search Strategy – A Risk-Sensitive Approach ‐ Josiane Mothe (IRIT UMR5505 CNRS, INSPE, Univ. de Toulouse, France), Md Zia Ullah (IRIT UMR5505 CNRS, France)
  • One-shot Transfer Learning for Population Mapping ‐ Erzhuo Shao (Beijing National Research Center for Information Science and Technology (BNRist) & Tsinghua University, China), Jie Feng (Beijing National Research Center for Information Science and Technology (BNRist) & Tsinghua University, China), Yingheng Wang (Tsinghua University, China), Tong Xia (Beijing National Research Center for Information Science and Technology (BNRist) & Tsinghua University, China), Yong Li (Beijing National Research Center for Information Science and Technology (BNRist) & Tsinghua University, China)
  • 50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts ‐ Moran Mizrahi (The Hebrew University of Jerusalem, Israel), Dafna Shahaf (The Hebrew University of Jerusalem, Israel)
  • Mitigating Negative Influence Diffusion is Hard ‐ Gianlorenzo D'Angelo (Gran Sasso Science Institute (GSSI), Italy), Mohammad Abouei Mehrizi (Gran Sasso Science Institute (GSSI), Italy)
  • Recipe Representation Learning with Networks ‐ Yijun Tian (University of Notre Dame, USA), Chuxu Zhang (Brandeis University, USA), Ronald Metoyer (University of Notre Dame, USA), Nitesh V. Chawla (University of Notre Dame, USA)
  • HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data ‐ Zhong Yang (Huazhong University of Science and Technology, China), Bolong Zheng (Huazhong University of Science and Technology, China), Chengdong Tong (Huazhong University of Science and Technology, China), Lianggui Weng (Huazhong University of Science and Technology, China), Chenliang Li (Wuhan University, China), Guohui Li (Huazhong University of Science and Technology, China)
  • Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks ‐ Jinliang Yuan (Nanjing University, China), Hualei Yu (Nanjing University, China), Meng Cao (Nanjing University, China), Ming Xu (Nanjing University, China), Junyuan Xie (Nanjing University, China), Chongjun Wang (Nanjing University, China)
  • Graph Feature Gating Networks ‐ Wei Jin (Michigan State University, USA), Xiaorui Liu (Michigan State University, USA), Yao Ma (New Jersey Institute of Technology, USA), Tyler Derr (Vanderbilt University, USA), Charu Aggarwal (IBM T. J. Watson Research Center, USA), Jiliang Tang (Michigan State University, USA)
  • Social Recommendation with Self-Supervised Metagraph Informax Network ‐ Xiaoling Long (South China University of Technology, China), Chao Huang (University of Hong Kong, Hong Kong), Yong Xu (South China University of Technology, China), Huance Xu (South China University of Technology, China), Peng Dai (JD Finance America Corporation, USA), Lianghao Xia (South China University of Technology, China), Liefeng Bo (JD Finance America Corporation, USA)
  • USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence ‐ Jing Yao (Renmin University of China & Tencent, China), Zhicheng Dou (Renmin University of China, China), Ruobing Xie (Tencent, China), Yanxiong Lu (Tencent, China), Zhiping Wang (Tencent, China), Ji-Rong Wen (Beijing Key Laboratory of Big Data Management and Analysis Methods & Key Laboratory of Data Engineering and Knowledge Engineering, MOE, China)
  • Query Definability and Its Approximations in Ontology-based Data Management ‐ Gianluca Cima (CNRS & University of Bordeaux, France), Federico Croce (Sapienza University of Rome, Italy), Maurizio Lenzerini (Sapienza University of Rome, Italy)
  • Reinforced Active Entity Alignment ‐ Weixin Zeng (National University of Defense Technology, China), Xiang Zhao (National University of Defense Technology, China), Jiuyang Tang (National University of Defense Technology, China), Changjun Fan (National University of Defense Technology, China)
  • Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation ‐ Junwei Zhang (Chongqing University, China), Min Gao (Chongqing University, China), Junliang Yu (The University of Queensland, Australia), Lei Guo (Shandong Normal University, China), Jundong Li (University of Virginia, USA), Hongzhi Yin (The University of Queensland, Australia)
  • Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids ‐ Martin Ringsquandl (Siemens, Germany), Houssem Sellami (Siemens, Germany), Marcel Hildebrandt (Siemens, Germany), Dagmar Beyer (Siemens, Germany), Sylwia Henselmeyer (Siemens, Germany), Sebastian Weber (Siemens, Germany), Mitchell Joblin (Siemens, Germany)
  • Influence Maximization With Co-Existing Seeds ‐ Ruben Becker (Gran Sasso Science Institute, Italy), Gianlorenzo D'Angelo (Gran Sasso Science Institute, Italy), Hugo Gilbert (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE, France)
  • Learning Saliency Maps to Explain Deep Time Series Classifiers ‐ Prathyush S. Parvatharaju (Worcester Polytechnic Institute, USA), Ramesh Doddaiah (Worcester Polytechnic Institute, USA), Thomas Hartvigsen (Worcester Polytechnic Institute, USA), Elke A. Rundensteiner (Worcester Polytechnic Institute, USA)
  • Learning Ideological Embeddings from Information Cascades ‐ Corrado Monti (ISI Foundation, Italy), Giuseppe Manco (ICAR-CNR, Italy), Cigdem Aslay (Aarhus University, Denmark), Francesco Bonchi (ISI Foundation, Italy)
  • A Study of Explainability Features to Scrutinize Faceted Filtering Results ‐ Jiaming Qu (University of North Carolina at Chapel Hill, USA), Jaime Arguello (University of North Carolina at Chapel Hill, USA), Yue Wang (University of North Carolina at Chapel Hill, USA)
  • Skyline in Crowdsourcing with Imprecise Comparisons ‐ Aris Anagnostopoulos (Sapienza University of Rome, Italy), Adriano Fazzone (Sapienza University of Rome, Italy), Giacomo Vettraino (Sapienza University of Rome, Italy)
  • Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy ‐ Héber H. Arcolezi (Femto-ST Institute, Univ. Bourg. Franche-Comté, CNRS, France), Jean-François Couchot (Femto-ST Institute, Univ. Bourg. Franche-Comté, CNRS, France), Bechara Al Bouna (TICKET Lab., Antonine University, Lebanon), Xiaokui Xiao (School of Computing, National University of Singapore, Singapore)
  • LEReg: Empower Graph Neural Networks with Local Energy Regularization ‐ Xiaojun Ma (Peking University, China), Hanyue Chen (Peking University, China), Guojie Song (Peking University, China)
  • Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering ‐ Kexuan Sun (University of Southern California, USA), Fei Wang (University of Southern California, USA), Muhao Chen (University of Southern California, USA), Jay Pujara (University of Southern California, USA)
  • Complex Temporal Question Answering on Knowledge Graphs ‐ Zhen Jia (Southwest Jiaotong University, China), Soumajit Pramanik (Indian Institute of Technology Bhilai, India), Rishiraj Saha Roy (Max Planck Institute for Informatics, Germany), Gerhard Weikum (Max Planck Institute for Informatics, Germany)
  • odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks ‐ Ilie Sarpe (University of Padova, Italy), Fabio Vandin (University of Padova, Italy)
  • Disentangling Preference Representations for Recommendation Critiquing with ß-VAE ‐ Preksha Nema (Google Research, India), Alexandros Karatzoglou (Google Research, United Kingdom), Filip Radlinski (Google Research, United Kingdom)
  • SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking ‐ Panayiotis Smeros (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland), Carlos Castillo (Universitat Pompeu Fabra (UPF), Spain), Karl Aberer (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland)
  • Actionable Insights in Urban Multivariate Time-series ‐ Anika Tabassum (Virginia Tech, USA), Supriya Chinthavali (Oak Ridge National Laboratory, USA), Varisara Tansakul (Oak Ridge National Laboratory, USA), B. Aditya Prakash (Georgia Institute of Technology, USA)
  • Attention Based Dynamic Graph Learning Framework for Asset Pricing ‐ Ajim Uddin (New Jersey Institute of Technology, USA), Xinyuan Tao (New Jersey Institute of Technology, USA), Dantong Yu (New Jersey Institute of Technology, USA)
  • Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval ‐ Zhiqi Huang (University of Massachusetts Amherst, USA), Hamed Bonab (University of Massachusetts Amherst, USA), Sheikh Muhammad Sarwar (University of Massachusetts Amherst, USA), Razieh Rahimi (University of Massachusetts Amherst, USA), James Allan (University of Massachusetts Amherst, USA)
  • Certifying One-Phase Technology-Assisted Reviews ‐ David D. Lewis (Reveal-Brainspace, USA), Eugene Yang (Georgetown University, USA), Ophir Frieder (Georgetown University, USA)
  • Non-Visual Accessibility Assessment of Videos ‐ Ali Selman Aydin (Stony Brook University, USA), Yu-Jung Ko (Stony Brook University, USA), Utku Uckun (Stony Brook University, USA), IV Ramakrishnan (Stony Brook University, USA), Vikas Ashok (Old Dominion University, USA)
  • Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems ‐ Zuohui Fu (Rutgers University, USA), Yikun Xian (Rutgers University, USA), Shijie Geng (Rutgers University, USA), Gerard de Melo (HPI/Univ. of Potsdam, Germany), Yongfeng Zhang (Rutgers University, USA)
  • Cross-Market Product Recommendation ‐ Hamed Bonab (University of Massachusetts Amherst, USA), Mohammad Aliannejadi (University of Amsterdam, Netherlands), Ali Vardasbi (University of Amsterdam, Netherlands), Evangelos Kanoulas (University of Amsterdam, Netherlands), James Allan (University of Massachusetts Amherst, USA)
  • Counterfactual Explainable Recommendation ‐ Juntao Tan (Rutgers University, USA), Shuyuan Xu (Rutgers University, USA), Yingqiang Ge (Rutgers University, USA), Yunqi Li (Rutgers University, USA), Xu Chen (Renmin University of China, China), Yongfeng Zhang (Rutgers University, USA)
  • Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain Adaptation ‐ Mahsa Keramati (Simon Fraser University, Canada), Zahra Zohrevand (Simon Fraser University, Canada), Uwe Glässer (Simon Fraser University, Canada)
  • Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion ‐ Min Hou (University of Science and Technology of China, China), Chang Xu (Microsoft Research, China), Yang Liu (University of Science and Technology of China, China), Weiqing Liu (Microsoft Research, China), Jiang Bian (Microsoft Research, China), Le Wu (Hefei University of Technology, China), Zhi Li (University of Science and Technology of China, China), Enhong Chen (University of Science and Technology of China, China), Tie-Yan Liu (Microsoft Research, China)
  • Learning Multiple Intent Representations for Search Queries ‐ Helia Hashemi (University of Massachusetts Amherst, USA), Hamed Zamani (University of Massachusetts Amherst, USA), W. Bruce Croft (University of Massachusetts Amherst, USA)
  • LT-OCF: Learnable-Time ODE-based Collaborative Filtering ‐ Jeongwhan Choi (Yonsei University, Republic of Korea), Jinsung Jeon (Yonsei University, Republic of Korea), Noseong Park (Yonsei University, Republic of Korea)
  • HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources ‐ Taolin Zhang (East China Normal University, China), Zerui Cai (East China Normal University, China), Chengyu Wang (Alibaba Group, China), Peng Li (Alibaba Group, China), Yang Li (Alibaba Group, China), Minghui Qiu (Alibaba Group, China), Chengguang Tang (Alibaba Group, China), Xiaofeng He (East China Normal University, China), Jun Huang (Alibaba Group, China)
  • Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning ‐ Qiang Sheng (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Xueyao Zhang (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Juan Cao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Lei Zhong (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • Topic-aware Heterogeneous Graph Neural Network for Link Prediction ‐ Siyong Xu (Beijing University of Posts and Telecommunications, China), Cheng Yang (Beijing University of Posts and Telecommunications, China), Chuan Shi (Beijing University of Posts and Telecommunications, China), Yuan Fang (Singapore Management University, Singapore), Yuxin Guo (Beijing University of Posts and Telecommunications, China), Tianchi Yang (Beijing University of Posts and Telecommunications, China), Luhao Zhang (Meituan, China), Maodi Hu (Meituan, China)
  • DESYR: Definition and Syntactic Representation Based Claim Detection on the Web ‐ Megha Sundriyal (Indraprastha Institute of Information Technology, Delhi, India), Parantak Singh (Birla Institute of Technology and Science, Pilani - Goa Campus, India), Md. Shad Akhtar (Indraprastha Institute of Information Technology, Delhi, India), Shubhashis Sengupta (Accenture Labs Bangalore, India), Tanmoy Chakraborty (Indraprastha Institute of Information Technology, Delhi, India)
  • Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction ‐ Zhaonan Wang (University of Tokyo, Japan), Renhe Jiang (University of Tokyo & Southern University of Science and Technology, Japan), Zekun Cai (University of Tokyo, Japan), Zipei Fan (University of Tokyo & Southern University of Science and Technology, Japan), Xin Liu (National Institute of Advanced Industrial Science and Technology & AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory, Japan), Kyoung-Sook Kim (National Institute of Advanced Industrial Science and Technology & AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory, Japan), Xuan Song (University of Tokyo & Southern University of Science and Technology, Japan), Ryosuke Shibasaki (University of Tokyo, Japan)
  • WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model ‐ Chenhao Xie (Fudan University & Shuyan Technology Inc., China), Wenhao Huang (Fudan University, China), Jiaqing Liang (Fudan University & Shuyan Technology Inc., China), Chengsong Huang (Fudan University, China), Yanghua Xiao (Fudan University & Fudan-Aishu Cognitive Intelligence Joint Research Center, China)
  • Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplEx ‐ Han Yang (Peking University, China), Junfei Liu (Peking University, China)
  • Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems ‐ Dingwen Li (Washington University in St. Louis, USA), Patrick Lyons (Washington University in St. Louis, USA), Jeff Klaus (Barnes-Jewish Hospital, USA), Brian Gage (Washington University in St. Louis, USA), Marin Kollef (Washington University in St. Louis, USA), Chenyang Lu (Washington University in St. Louis, USA)
  • VPALG: Paper-publication Prediction with Graph Neural Networks ‐ Renchu Guan (Jilin University, China), Yonghao Liu (Jilin University, China), Xiaoyue Feng (Jilin University, China), Ximing Li (Jilin University, China)
  • Deep Adversarial Network Alignment ‐ Tyler Derr (Vanderbilt University, USA), Hamid Karimi (Utah State University, USA), Xiaorui Liu (Michigan State University, USA), Jiejun Xu (HRL Laboratories, USA), Jiliang Tang (Michigan State University, USA)
  • Tree Decomposed Graph Neural Network ‐ Yu Wang (Vanderbilt University, USA), Tyler Derr (Vanderbilt University, USA)
  • SGCL: Contrastive Representation Learning for Signed Graphs ‐ Lin Shu (Sun Yat-Sen University, China), Erxin Du (Sun Yat-Sen University, China), Yaomin Chang (Sun Yat-Sen University, China), Chuan Chen (Sun Yat-Sen University, China), Zibin Zheng (Sun Yat-Sen University, China), Xingxing Xing (Netease Games UX Center, China), Shaofeng Shen (Netease Games UX Center, China)
  • CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph ‐ Yao Zhang (Fudan University, China), Yun Xiong (Fudan University, China), Dongsheng Li (Microsoft Research Asia, China), Caihua Shan (Microsoft Research Asia, China), Kan Ren (Microsoft Research Asia, China), Yangyong Zhu (Fudan University, China)
  • ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior ‐ Surajit Chakrabarty (Games24x7, India), Rukma Talwadker (Games24x7.com, India), Tridib Mukherjee (Games24x7, India)
  • ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning ‐ Yunyong Ko (Hanyang University, Republic of Korea), Kibong Choi (Hanyang University, Republic of Korea), Hyunseung Jei (SK Telecom, Republic of Korea), Dongwon Lee (The Pennsylvania State University, USA), Sang-Wook Kim (Hanyang University, South Korea)
  • Open Benchmarking for Click-Through Rate Prediction ‐ Jieming Zhu (Huawei Noah's Ark Lab, China), Jinyang Liu (The Chinese University of Hong Kong, China), Shuai Yang (Peking University, China), Qi Zhang (Huawei Noah's Ark Lab, China), Xiuqiang He (Huawei Noah's Ark Lab, China)
  • Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching ‐ Liang Pang (Institute of Computing Technology, Chinese Academy of Sciences, China), Yanyan Lan (Tsinghua University, China), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences, China)
  • DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space ‐ Yuxin Shen (Tianjin University & Tianjin Key Laboratory of Cognitive Computing and Application, China), Zhao Li (Tianjin University & Tianjin Key Laboratory of Cognitive Computing and Application, China), Xin Wang (Tianjin University & Tianjin Key Laboratory of Cognitive Computing and Application, China), Jianxin Li (Deakin University, Australia), Xiaowang Zhang (Tianjin University & Tianjin Key Laboratory of Cognitive Computing and Application, China)

Applied Papers

  • Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus ‐ Yun-Da Tsai (National Taiwan University, Taiwan Roc), ChengKuan Chen (National Taiwan University, Taiwan Roc), Shou-De Lin (National Taiwan University, Taiwan Roc)
  • Learning to Bundle Proactively for On-Demand Meal Delivery ‐ Chengbo Li (Alibaba Group, China), Lin Zhu (Alibaba Group, China), Guangyuan Fu (Alibaba Group, China), Longzhi Du (Alibaba Group, China), Canhua Zhao (Alibaba Group, China), Tianlun Ma (Alibaba Group, China), Chang Ye (Alibaba Group, China), Pei Lee (Alibaba Group, China)
  • From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry ‐ Roee Shraga (Technion, Israel), Gil Katz (Afimilk, Israel), Yael Badian (Technion, Israel), Nitay Calderon (Technion, Israel), Avigdor Gal (Technion, Israel)
  • 'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds ‐ Zihao Wang (Ant Group, China), Fudong Wang (Ant Group, China), Haipeng Zhang (ShanghaiTech University, China), Minghui Yang (Ant Group, China), Shaosheng Cao (Ant Group, China), Zujie Wen (Ant Group, China), Zhe Zhang (Ant Group, China)
  • Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval ‐ Peiyang Liu (Peking University, China), Xi Wang (PX Securities, China), Lin Wang (PX Securities, China), Wei Ye (Peking University, China), Xiangyu Xi (Peking University, China), Shikun Zhang (Peking University, China)
  • ARGH!: Automated Rumor Generation Hub ‐ Larry Huynh (University of Western Australia, Australia), Thai Nguyen (University of Western Australia, Australia), Joshua Goh (University of Western Australia, Australia), Hyoungshick Kim (Sungkyunkwan University, Republic of Korea), Jin B. Hong (University of Western Australia, Australia)
  • Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series ‐ Shuming Liang (University of Technology Sydney, Australia), Zhidong Li (University of Technology Sydney, Australia), Bin Liang (University of Technology Sydney, Australia), Yu Ding (University of Wollongong, Australia), Yang Wang (University of Technology Sydney, Australia), Fang Chen (University of Technology Sydney, Australia)
  • Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture ‐ Guy Barshatski (Technion - Israel Institute of Technology, Israel), Galia Nordon (Technion - Israel Institute of Technology, Israel), Kira Radinsky (Technion - Israel Institute of Technology, Israel)
  • Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models ‐ Bo Chen (Huawei Noah’s Ark Lab, China), Yichao Wang (Huawei Noah’s Ark Lab, China), Zhirong Liu (Huawei Noah’s Ark Lab, China), Ruiming Tang (Huawei Noah’s Ark Lab, China), Wei Guo (Huawei Noah’s Ark Lab, China), Hongkun Zheng (Huawei Technologies Co Ltd, China), Weiwei Yao (Huawei Technologies Co Ltd, China), Muyu Zhang (Huawei Technologies Co Ltd, China), Xiuqiang He (Huawei Noah’s Ark Lab, China)
  • Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDB ‐ Jianchuan Li (University of Science and Technology of China, China), Peiquan Jin (University of Science and Technology of China, China), Yuanjin Lin (ByteDance Inc., China), Ming Zhao (ByteDance Inc., China), Yi Wang (University of Science and Technology of China, China), Kuankuan Guo (ByteDance Inc., China)
  • Prohibited Item Detection on Heterogeneous Risk Graphs ‐ Yugang Ji (Beijing University of Posts and Telecommunications, China), Chuan Shi (Beijing University of Posts and Telecommunications, China), Xiao Wang (Beijing University of Posts and Telecommunications, China)
  • Scalable Learning to Troubleshoot Query Performance Problems ‐ Alexandar Mihaylov (Ontario Tech University & IBM CAS, Canada), Vincent Corvinelli (IBM Ltd., Canada), Parke Godfrey (York University & IBM CAS, Canada), Piotr Mierzejewski (IBM Ltd., Canada), Jaroslaw Szlichta (Ontario Tech University & IBM CAS, Canada), Calisto Zuzarte (IBM Ltd., Canada)
  • From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction ‐ Ryan A. Rossi (Adobe Research, USA), Anup Rao (Adobe Research, USA), Sungchul Kim (Adobe Research, USA), Eunyee Koh (Adobe Research, USA), Nesreen K. Ahmed (Intel Labs, USA), Gang Wu (Adobe Research, USA)
  • EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications ‐ Minghui Qiu (Alibaba Group, China), Peng Li (Alibaba Group, China), Chengyu Wang (Alibaba Group, China), Haojie Pan (Alibaba Group, China), Ang Wang (Alibaba Group, China), Cen Chen (Alibaba Group, China), Xianyan Jia (Alibaba Group, China), Yaliang Li (Alibaba Group, China), Jun Huang (Alibaba Group, China), Deng Cai (Zhejiang University, China), Wei Lin (Alibaba Group, China)
  • Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies ‐ Zhengqi Xu (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Yixuan Cao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Rongyu Cao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Guoxiang Li (Beijing Paoding Technology Co., LTD., China), Xuanqiang Liu (Beijing Paoding Technology Co., LTD., China), Yan Pang (Beijing Paoding Technology Co., LTD., China), Yangbin Wang (Beijing Paoding Technology Co., LTD., China), Jianfei Zhang (Beijing Paoding Technology Co., LTD., China), Allie Cheung (Hong Kong Exchanges and Clearing Limited, China), Matthew Tam (Hong Kong Exchanges and Clearing Limited, China), Lukas Petrikas (Hong Kong Exchanges and Clearing Limited, China), Ping Luo (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps ‐ Yibo Sun (Baidu Inc., China), Jizhou Huang (Baidu Inc., China), Chunyuan Yuan (Baidu Inc., China), Miao Fan (Baidu Inc., China), Haifeng Wang (Baidu Inc., China), Ming Liu (Harbin Institute of Technology, China), Bing Qin (Harbin Institute of Technology, China)
  • Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem ‐ Qianwen Zhu (Nanjing University, China), Xihan Li (University College London, United Kingdom), Zihan Zhang (Huawei Noah’s Ark Lab, China), Zhixing Luo (Nanjing University, China), Xialiang Tong (Huawei Noah’s Ark Lab, China), Mingxuan Yuan (Huawei Noah’s Ark Lab, China), Jia Zeng (Huawei Noah’s Ark Lab, China)
  • Crawler Detection in Location-Based Services Using Attributed Action Net ‐ Wei Xia (Alibaba Group, China), Fei Zhao (Alibaba Group, China), Haishuai Wang (Fairfield University, USA), Peng Zhang (Guangzhou University, China), Anhui Wang (Alibaba Group, China), Kang Li (Alibaba Group, China)
  • Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation ‐ Ruobing Xie (WeChat, Tencent, China), Shaoliang Zhang (WeChat, Tencent, China), Rui Wang (WeChat, Tencent, China), Feng Xia (WeChat, Tencent, China), Leyu Lin (WeChat, Tencent, China)
  • Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach ‐ Shuang Wu (Huawei Noah's Ark Lab, China), Zhen Qin (Huawei Noah's Ark Lab, China), Zhen Wang (Huawei Noah's Ark Lab, China), Siwei Rao (Huawei Noah's Ark Lab, China), Qiang Ye (Huawei Noah's Ark Lab, China), Xingyue Quan (Huawei Noah's Ark Lab, China), Guangjian Tian (Huawei Noah's Ark Lab, China)
  • Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation ‐ Kunxun Qi (Sun Yat-sen University&Tencent, China), Ruoxu Wang (Tencent, China), Qikai Lu (University of Alberta, Canada), Xuejiao Wang (Tencent, China), Ning Jing (Tencent, China), Di Niu (University of Alberta, Canada), Haolan Chen (Tencent, China)
  • Self-Supervised Learning on Users’ Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce ‐ Yulong Gu (Alibaba Group, China), Wentian Bao (Alibaba Group, China), Dan Ou (Alibaba Group, China), Xiang Li (Alibaba Group, China), Baoliang Cui (Alibaba Group, China), Biyu Ma (Alibaba Group, China), Haikuan Huang (Alibaba Group, China), Qingwen Liu (Alibaba Group, China), Xiaoyi Zeng (Alibaba Group, China)
  • Influence Maximization in Multi-Relational Social Networks ‐ Wei Wang (Tencent Inc. China, China), Haili Yang (Tencent Inc. China, China), Yuanfu Lu (Tencent Inc. China, China), Yuanhang Zou (Tencent Inc. China, China), Xu Zhang (Tencent Inc. China, China), Shuting Guo (Tencent Inc. China, China), Leyu Lin (Tencent Inc. China, China)
  • Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching ‐ Zongtao Liu (Alibaba Group, China), Bin Ma (Alibaba Group, China), Quan Liu (Alibaba Group, China), Jian Xu (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening ‐ Ermal Toto (Worcester Polytechnic Institute, USA), ML Tlachac (Worcester Polytechnic Institute, USA), Elke A. Rundensteiner (Worcester Polytechnic Institute, USA)
  • SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection ‐ Shangbin Feng (Xi'an Jiaotong University, China), Herun Wan (Xi'an Jiaotong University, China), Ningnan Wang (Xi'an Jiaotong University, China), Jundong Li (University of Virginia, USA), Minnan Luo (Xi'an Jiaotong University, China), Qinghua Zheng (Xi'an Jiaotong University, China)
  • TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity ‐ Shaunak Mishra (Yahoo Research, USA), Changwei Hu (Yahoo Research, USA), Manisha Verma (Yahoo Research, USA), Kevin Yen (Yahoo Research, USA), Yifan Hu (Yahoo Research, USA), Maxim Sviridenko (Yahoo Research, USA)
  • Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs ‐ Lei Cai (Washington State University, USA), Zhengzhang Chen (NEC Laboratories America, Inc., USA), Chen Luo (Amazon, Inc., USA), Jiaping Gui (Stellar Cyber, Inc., USA), Jingchao Ni (NEC Laboratories America, Inc., USA), Ding Li (Peking University, China), Haifeng Chen (NEC Laboratories America, Inc., USA)
  • Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach ‐ Chuanbo Hu (West Virginia University, USA), Minglei Yin (West Virginia University, USA), Bin Liu (West Virginia University, USA), Xin Li (West Virginia University, USA), Yanfang Ye (Case Western Reserve University & University of Notre Dame, USA)
  • K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering ‐ Fu Sun (Alibaba Group, China), Feng-Lin Li (Alibaba Group, China), Ruize Wang (Fudan University, China), Qianglong Chen (Alibaba Group, China), Xingyi Cheng (Alibaba Group, China), Ji Zhang (Alibaba Group, China)
  • Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task ‐ Patrice Lopez (science-miner, France), Caifan Du (University of Texas at Austin, USA), Johanna Cohoon (University of Texas at Austin, USA), Karthik Ram (Berkeley Institute for Data Science, USA), James Howison (University of Texas at Austin, USA)
  • WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia ‐ Mykola Trokhymovych (Ukrainian Catholic University, Ukraine), Diego Saez-Trumper (Wikimedia Foundation, Spain)
  • Contextual Skill Proficiency via Multi-task Learning at LinkedIn ‐ Xiao Yan (LinkedIn, USA), Ada Ma (LinkedIn, USA), Jaewon Yang (LinkedIn, USA), Lin Zhu (LinkedIn, USA), How Jing (LinkedIn, USA), Jacob Bollinger (LinkedIn, USA), Qi He (LinkedIn, USA)
  • Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search ‐ Keith G. Mills (University of Alberta, Canada), Fred X. Han (Huawei Technologies, Canada), Jialin Zhang (Huawei Kirin Solution, China), Seyed Saeed Changiz Rezaei (Huawei Technologies, Canada), Fabian Chudak (Huawei Technologies, Canada), Wei Lu (Huawei Technologies, Canada), Shuo Lian (Huawei Kirin Solution, China), Shangling Jui (Huawei Kirin Solution, China), Di Niu (University of Alberta, Canada)
  • On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation ‐ Wenzhuo Yang (Salesforce Research, Singapore), Jia Li (Salesforce Research, USA), Chenxi Li (Salesforce Sales Intelligence, USA), Latrice Barnett (Salesforce, USA), Markus Anderle (Salesforce Sales Intelligence, USA), Simo Arajarvi (Salesforce Sales Intelligence, USA), Harshavardhan Utharavalli (Salesforce Sales Intelligence, India), Caiming Xiong (Salesforce Research, USA), Steven HOI (Salesforce Research, Singapore)
  • HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting ‐ Shun Zheng (Microsoft Research, China), Zhifeng Gao (Microsoft Research, China), Wei Cao (Microsoft Research, China), Jiang Bian (Microsoft Research, China), Tie-Yan Liu (Microsoft Research, China)
  • Unsupervised Categorical Representation Learning for Package Arrival Time Prediction ‐ Yang Li (Alibaba Group, China), Xingyu Wu (Alibaba Group, China), Jinglong Wang (Alibaba Group, China), Yong Liu (Alibaba-NTU Singapore Joint Research Institute, Singapore), Xiaoqing Wang (Alibaba Group, China), Yuming Deng (Alibaba Group, China), Chunyan Miao (Nanyang Technological University, Singapore)
  • From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog ‐ Pranay Dugar (Walmart Global Tech, India), Rajesh Shreedhar Bhat (Walmart Global Tech, India), Asit Sharad Tarsode (Walmart Global Tech, India), Uddipto Dutta (Walmart Global Tech, India), Kunal Banerjee (Walmart Global Tech, India), Anirban Chatterjee (Walmart Global Tech, India), Vijay Srinivas Agneeswaran (Walmart Global Tech, India)
  • Cascaded Deep Neural Ranking Models in LinkedIn People Search ‐ Zimeng Yang (LinkedIn Corporation, USA), Song Yan (LinkedIn Corporation, USA), Abhimanyu Lad (LinkedIn Corporation, USA), Xiaowei Liu (LinkedIn Corporation, USA), Weiwei Guo (LinkedIn Corporation, USA)
  • AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining ‐ Min Du (Palo Alto Networks, USA), Wenjun Hu (Palo Alto Networks, USA), William Hewlett (Palo Alto Networks, USA)
  • One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction ‐ Xiang-Rong Sheng (Alibaba Group, China), Liqin Zhao (Alibaba Group, China), Guorui Zhou (Alibaba Group, China), Xinyao Ding (Alibaba Group, China), Binding Dai (Alibaba Group, China), Qiang Luo (Alibaba Group, China), Siran Yang (Alibaba Group, China), Jingshan Lv (Alibaba Group, China), Chi Zhang (Alibaba Group, China), Hongbo Deng (Alibaba Group, China), Xiaoqiang Zhu (Alibaba Group, China)
  • CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms ‐ Yingying Zhang (Alibaba Group, China), Zhengxiong Guan (Alibaba Group, China), Huajie Qian (Alibaba Group, China), Leili Xu (Alibaba Group, China), Hengbo Liu (Alibaba Group, China), Qingsong Wen (Alibaba Group, China), Liang Sun (Alibaba Group, China), Junwei Jiang (Alibaba Group, China), Lunting Fan (Alibaba Group, China), Min Ke (Alibaba Group, China)
  • CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation ‐ Xu Xie (Peking University, China), Zhaoyang Liu (Alibaba Group, China), Shiwen Wu (Peking University, China), Fei Sun (Alibaba Group, China), Cihang Liu (Alibaba Group, China), Jiawei Chen (University of Science and Technology of China, China), Jinyang Gao (Alibaba Group, China), Bin Cui (Peking University, China), Bolin Ding (Alibaba Group, USA)
  • Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation ‐ Haishuai Wang (Alibaba Group, Fairfield University, China), Zhao Li (Alibaba Group, China), Xuanwu Liu (Alibaba Group, China), Donghui Ding (Alibaba Group, China), Zehong Hu (Alibaba Group, China), Peng Zhang (Guangzhou University, China), Chuan Zhou (Chinese Academy of Sciences, China), Jiajun Bu (Zhejiang University, China)
  • Sequential Search with Off-Policy Reinforcement Learning ‐ Dadong Miao (JD.com, China), Yanan Wang (JD.com, China), Guoyu Tang (JD.com, China), Lin Liu (JD.com, China), Sulong Xu (JD.com, China), Bo Long (JD.com, USA), Yun Xiao (JD.com Silicon Valley R&D Center, USA), Lingfei Wu (JD.com Silicon Valley R&D Center, USA), Yunjiang Jiang (JD.com Silicon Valley R&D Center, USA)
  • Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation ‐ Shuqing Bian (Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, China), Wayne Xin Zhao (Renmin University of China &#38 Beijing Key Laboratory of Big Data Management and Analysis Methods, China), Kun Zhou (Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, China), Jing Cai (Tencent, China), Yancheng He (Tencent, China), Cunxiang Yin (Tencent, China), Ji-Rong Wen (Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, China)
  • Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising ‐ Xin Wang (Baidu Research, China), Peng Yang (Baidu Research, USA), Shaopeng Chen (Baidu Sponsored Search (Phoenix Nest), China), Lin Liu (Baidu Sponsored Search (Phoenix Nest), China), Lian Zhao (Baidu Sponsored Search (Phoenix Nest), China), Jiacheng Guo (Baidu Sponsored Search (Phoenix Nest), China), Mingming Sun (Baidu Research, China), Ping Li (Baidu Research, USA)
  • Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations ‐ Haojie Pan (Alibaba Group, China), Cen Chen (East China Normal University, China), Chengyu Wang (Alibaba Group, China), Minghui Qiu (Alibaba Group, Singapore), Liu Yang (University of Massachusetts at Amherst, USA), Feng Ji (Alibaba Group, China), Jun Huang (Alibaba Group, China)
  • Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization ‐ Xihan Li (University College London, United Kingdom), Xiongwei Han (Huawei Noah's Ark Lab, China), Zhishuo Zhou (Fudan University, China), Mingxuan Yuan (Huawei Noah's Ark Lab, China), Jia Zeng (Huawei Noah's Ark Lab, China), Jun Wang (University College London, United Kingdom)
  • SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios ‐ Qijie Shen (Alibaba Group, China), Wanjie Tao (Alibaba Group, China), Jing Zhang (The University of Sydney, Australia), Hong Wen (Alibaba Group, China), Zulong Chen (Alibaba Group, China), Quan Lu (Alibaba Group, China)
  • ETA Prediction with Graph Neural Networks in Google Maps ‐ Austin Derrow-Pinion (DeepMind, USA), Jennifer She (DeepMind, USA), David Wong (Waymo, USA), Oliver Lange (Google, USA), Todd Hester (Amazon, USA), Luis Perez (Facebook AI, USA), Marc Nunkesser (Google, USA), Seongjae Lee (Google, USA), Xueying Guo (Google, USA), Brett Wiltshire (DeepMind, USA), Peter W. Battaglia (DeepMind, United Kingdom), Vishal Gupta (DeepMind, USA), Ang Li (DeepMind, USA), Zhongwen Xu (Sea AI Lab, Singapore), Alvaro Sanchez-Gonzalez (DeepMind, United Kingdom), Yujia Li (DeepMind, United Kingdom), Petar Veličković (DeepMind, United Kingdom)
  • CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge ‐ Chao Zhang (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Jingbo Zhou (Baidu Research, China), Xiaoling Zang (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Qing Xu (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Liang Yin (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Xiang He (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Lin Liu (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Haoyi Xiong (Baidu Research, China), Dejing Dou (Baidu Research, China)
  • Beast: Scalable Exploratory Analytics on Spatio-temporal Data ‐ Ahmed Eldawy (University of California, Riverside, USA), Vagelis Hristidis (University of California, Riverside, USA), Saheli Ghosh (PayPal, USA), Majid Saeedan (University of California, Riverside, USA), Akil Sevim (University of California, Riverside, USA), A.B. Siddique (University of Kentucky, USA), Samriddhi Singla (University of California, Riverside, USA), Ganesh Sivaram (University of California, Riverside, USA), Tin Vu (University of California, Riverside, USA), Yaming Zhang (Tencent Technology Co., China)
  • QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction ‐ Danqing Zhang (Amazon.com Inc, USA), Zheng Li (Amazon.com Inc, USA), Tianyu Cao (Amazon.com Inc, USA), Chen Luo (Amazon.com Inc, USA), Tony Wu (Amazon.com Inc, USA), Hanqing Lu (Amazon.com Inc, USA), Yiwei Song (Amazon.com Inc, USA), Bing Yin (Amazon.com Inc, USA), Tuo Zhao (Georgia Institute of Technology, USA), Qiang Yang (Hong Kong University of Science and Technology, China)
  • Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising ‐ Yohay Kaplan (Yahoo Research, Israel), Naama Krasne (Yahoo Research, Israel), Alex Shtoff (Yahoo Research, Israel), Oren Somekh (Yahoo Research, Israel)
  • You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation ‐ Zeyu Li (University of California, Los Angeles, USA), Wei Cheng (NEC Labs America, USA), Haiqi Xiao (University of California, Los Angeles, USA), Wenchao Yu (NEC Labs America, USA), Haifeng Chen (NEC Labs America, USA), Wei Wang (University of California, Los Angeles, USA)
  • Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts ‐ Maryam Aziz (Spotify, USA), Alice Wang (Spotify, USA), Aasish Pappu (Spotify, USA), Hugues Bouchard (Spotify, USA), Yu Zhao (Spotify, Sweden), Benjamin Carterette (Spotify, USA), Mounia Lalmas (Spotify, United Kingdom)
  • Self-supervised Learning for Large-scale Item Recommendations ‐ Tiansheng Yao (Google, Inc., USA), Xinyang Yi (Google, Inc., USA), Derek Zhiyuan Cheng (Google, Inc., USA), Felix Yu (Google, Inc., USA), Ting Chen (Google, Inc., Canada), Aditya Menon (Google, Inc., USA), Lichan Hong (Google, Inc., USA), Ed H. Chi (Google, Inc., USA), Steve Tjoa (Google, Inc., USA), Jieqi (Jay) Kang (Google, Inc., USA), Evan Ettinger (Google, Inc., USA)
  • Seasonal Relevance in E-Commerce Search ‐ Haode Yang (Amazon, USA), Parth Gupta (Amazon, USA), Roberto Fernández Galán (Amazon, USA), Dan Bu (Amazon, USA), Dongmei Jia (Amazon, USA)
  • SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion ‐ Muntasir Wahed (Virginia Tech, USA), Daniel Gruhl (IBM Research Almaden, USA), Alfredo Alba (IBM Research Almaden, USA), Anna Lisa Gentile (IBM Research Almaden, USA), Petar Ristoski (eBay Inc, USA), Chad DeLuca (IBM Research Almaden, USA), Steve Welch (IBM Research Almaden, USA), Ismini Lourentzou (Virginia Tech, USA)
  • LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising ‐ Jinsung Jeon (Yonsei University, Republic of Korea), Soyoung Kang (NAVER Clova, Republic of Korea), Minju Jo (Yonsei University, Republic of Korea), Seunghyeon Cho (Yonsei University, Republic of Korea), Noseong Park (Yonsei University, Republic of Korea), Seonghoon Kim (Motov Inc., Ltd., Republic of Korea), Chiyoung Song (Motov Inc., Ltd., Republic of Korea)
  • Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising ‐ Tan Yu (Baidu Research, USA), Yi Yang (Baidu Inc., China), Yi Li (Baidu Inc., China), Lin Liu (Baidu Inc., China), Mingming Sun (Baidu Research, China), Ping Li (Baidu Research, USA)
  • Causal-Aware Generative Imputation for Automated Underwriting ‐ Qian Li (University of Technology Sydney, Australia), Tri Dung Duong (University of Technology Sydney, Australia), Zhichao Wang (University of New South Wales, Australia), Shaowu Liu (Colonial First State, Commonwealth Bank of Australia, Australia), Dingxian Wang (Ebay, USA), Guandong Xu (University of Technology Sydney, Australia)
  • Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification ‐ Tavor Z. Baharav (Stanford University, USA), Daniel L. Jiang (University of Washington, USA), Kedarnath Kolluri (Amazon, USA), Sujay Sanghavi (Amazon & University of Texas at Austin, USA), Inderjit S. Dhillon (Amazon & University of Texas at Austin, USA)
  • Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations
  • Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach ‐ Martin Gerlach (Wikimedia Foundation, USA), Marshall Miller (Wikimedia Foundation, USA), Rita Ho (Wikimedia Foundation, USA), Kosta Harlan (Wikimedia Foundation, USA), Djellel Difallah (New York University Abu Dhabi, UAE)
  • Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks ‐ Chin-Chia Michael Yeh (Visa Research, USA), Zhongfang Zhuang (Visa Research, USA), Junpeng Wang (Visa Research, USA), Yan Zheng (Visa Research, USA), Javid Ebrahimi (Visa Research, USA), Ryan Mercer (University of California, Riverside, USA), Liang Wang (Visa Research, USA), Wei Zhang (Visa Research, USA)
  • Understanding Job Seeker Funnel for Search and Discovery Personalization ‐ Nagaraj Kota (Google, India), Venkatesh Duppada (Google, India), Ashvini Jindal (LinkedIn Corporation, India), Mohit Wadhwa (LinkedIn Corporation, India)
  • CADRE: A Cloud-Based Data Service for Big Bibliographic Data ‐ Xiaoran Yan (Zhejiang Lab, China), Guangchen Ruan (Indiana University, USA), Dimitar Nikolov (Indiana University, USA), Matthew Hutchinson (Indiana University, USA), Chathuri Peli Kankanamalage (Indiana University, USA), Ben Serrette (Indiana University, USA), James McCombs (Indiana University, USA), Alan Walsh (Indiana University, USA), Esen Tuna (Indiana University, USA), Valentin Pentchev (Indiana University, USA)
  • Prioritizing Original News on Facebook ‐ Xiuyan Ni (Facebook Inc., USA), Shujian Bu (Facebook Inc., USA), Lucas Adams (Facebook Inc., USA), Igor L. Markov (Facebook Inc., USA)

Short Papers

  • Talking Face Generation Based on Information Bottleneck and Complementary Representations ‐ Jie Tang (Peking University, China), Yiling Wu (Peng Cheng Laboratory, China), Minglei Li (Huawei Cloud BU, China), Zhu Wang (Huawei Technologies Co.,Ltd., China)
  • Embedding Node Structural Role Identity Using Stress Majorization ‐ Lili Wang (Dartmouth College, USA), Chenghan Huang (Millennium Management, LLC, USA), Weicheng Ma (Dartmouth College, USA), Ying Lu (Stony Brook Univeristy, USA), Soroush Vosoughi (Dartmouth College, USA)
  • DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder ‐ Zhenyu Zhang (JD AI, China), Tao Guo (Xiaoduo AI, China), Meng Chen (JD AI, China)
  • Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction ‐ Yichen Xu (Beijing University of Posts and Telecommunications, China), Yanqiao Zhu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Feng Yu (Alibaba Group, China), Qiang Liu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Shu Wu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • Spectral Graph Attention Network with Fast Eigen-approximation ‐ Heng Chang (Tsinghua University, China), Yu Rong (Tencent AI Lab, China), Tingyang Xu (Tencent AI Lab, China), Wenbing Huang (Tsinghua University, China), Somayeh Sojoudi (University of California at Berkeley, USA), Junzhou Huang (Tencent AI Lab, China), Wenwu Zhu (Tsinghua University, China)
  • Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting ‐ Yue Cui (University of Electronic Science and Technology of China, China), Jiandong Xie (Huawei Cloud Database Innovation Lab, China), Kai Zheng (University of Electronic Science and Technology of China, China)
  • Mitigating Deep Double Descent by Concatenating Inputs ‐ John Chen (Rice University, USA), Qihan Wang (Rice University, USA), Anastasios Kyrillidis (Rice University, USA)
  • REFINE: Random RangE FInder for Network Embedding ‐ Hao Zhu (Australian National University & Data61/CSIRO, Australia), Piotr Koniusz (Data61/CSIRO & Australian National University, Australia)
  • Boosting Few-shot Abstractive Summarization with Auxiliary Tasks ‐ Qiwei Bi (Renmin University of China, China), Haoyuan Li (Harvard University, USA), Hanfang Yang (Renmin University of China, China)
  • Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks ‐ Ziqi Liu (Ant Group, China), Yue Shen (Ant Group, China), Xiaocheng Cheng (Ant Group, China), Qiang Li (Ant Group, China), Jianping Wei (Ant Group, China), Zhiqiang Zhang (Ant Group, China), Dong Wang (Ant Group, China), Xiaodong Zeng (Ant Group, China), Jinjie Gu (Ant Group, China), Jun Zhou (Ant Group, China)
  • Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning ‐ Bin Liang (Harbin Institute of Technology, Shenzhen, China), Wangda Luo (Harbin Institute of Technology, Shenzhen, China), Xiang Li (Harbin Institute of Technology, Shenzhen & Joint lab of CMS-HITSZ, China), Lin Gui (University of Warwick, United Kingdom), Min Yang (SIAT, Chinese Academy of Sciences, China), Xiaoqi Yu (China Merchants Securities Co., Ltd., China), Ruifeng Xu (Harbin Institute of Technology, Shenzhen & Peng Cheng Lab, China)
  • Deep Active Learning for Text Classification with Diverse Interpretations ‐ Qiang Liu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Yanqiao Zhu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Zhaocheng Liu (RealAI, China), Yufeng Zhang (Institute of Automation, Chinese Academy of Sciences, China), Shu Wu (Institute of Automation, Chinese Academy of SciencesInstitute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency ‐ Chen Li (Beihang university, China), Xutan Peng (The University of Sheffield, United Kingdom), Hao Peng (Beihang University, China), Jia Wu (Macquarie University, Australia), Lihong Wang (CNCERT, China), Philip S. Yu (University of Illinois at Chicago, China), Jianxin Li (Beihang University, China), Lichao Sun (Lehigh University, USA)
  • Hubness-aware User Identity Linkage ‐ Chaozhuo Li (Beihang University, China), Senzhang Wang (Central South University, China), Feiran Huang (Jinan University, China), Jie Xu (Beijing Foreign Studies University, China), Philip Yu (University of Illinois at Chicago, USA)
  • CoSEM: Contextual and Semantic Embedding for App Usage Prediction ‐ Yonchanok Khaokaew (RMIT University, Australia), Mohammad Saiedur Rahaman (RMIT University, Australia), Ryen W. White (Microsoft Research, USA), Flora D. Salim (RMIT University, Australia)
  • Time-Aware Recommender System via Continuous-Time Modeling ‐ Jianghan Bao (Southern University of Science and Technology, China), Yu Zhang (Southern University of Science and Technology, China)
  • Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT ‐ Runchuan Wang (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Zhao Zhang (Institute of Computing Technology, Chinese Academy of Sciences & Zhejiang Lab, China), Fuzhen Zhuang (Beihang University, China), Dehong Gao (Alibaba Group, China), Yi Wei (Alibaba Group, China), Qing He (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation ‐ Qiang Cui (Meituan, China), Chenrui Zhang (Meituan, China), Yafeng Zhang (Meituan, China), Jinpeng Wang (Meituan, China), Mingchen Cai (Meituan, China)
  • Structural Deep Incomplete Multi-view Clustering Network ‐ Jie Wen (Harbin Institute of Technology, Shenzhen, China), Zhihao Wu (Harbin Institute of Technology, Shenzhen, China), Zheng Zhang (Harbin Institute of Technology, Shenzhen, China), Lunke Fei (Guangdong University of Technology, China), Bob Zhang (University of Macau, China), Yong Xu (Harbin Institute of Technology, Shenzhen, China)
  • Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast ‐ Xueni Luo (East China Normal University & Shanghai Engineering Research Center on Big Data Management System, China), Dawei Cheng (Tongji University, China), Haorui Ma (East China Normal University & Shanghai Engineering Research Center on Big Data Management System, China), Junhao Wang (East China Normal University & Shanghai Engineering Research Center on Big Data Management System, China), Mengzhen Fan (East China Normal University & SeekData Inc., China), Yifeng Luo (East China Normal University & Shanghai Engineering Research Center on Big Data Management System, China)
  • SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer ‐ Dohyeon Lee (Seoul National University, Republic of Korea), Jaeseong Lee (Seoul National University, Republic of Korea), Gyewon Lee (Seoul National University & FriendliAI, Republic of Korea), Byung-gon Chun (Seoul National University & FriendliAI, Republic of Korea), Seung-won Hwang (Seoul National University, Republic of Korea)
  • Discovery of Temporal Graph Functional Dependencies ‐ Levin Noronha (McMaster University, Canada), Fei Chiang (McMaster University, Canada)
  • Variational Cross-Network Embedding for Anonymized User Identity Linkage ‐ Xiaokai Chu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China), Xinxin Fan (Institute of Computing Technology, Chinese Academy of Sciences, China), Zhihua Zhu (Tencent PCG, China), Jingping Bi (Institute of Computing Technology, Chinese Academy of Sciences, China)
  • Low-dimensional Alignment for Cross-Domain Recommendation ‐ Tianxin Wang (Institute of Computing Technology , Chinese Academy of Sciences, & University of Chinese Academy of Sciences, China), Fuzhen Zhuang (Beihang University & Xiamen Data Intelligence Academy of ICT, Chinese Academy of Sciences, China), Zhiqiang Zhang (Ant Financial Services Group, China), Daixin Wang (Ant Financial Services Group, China), Jun Zhou (Ant Financial Services Group, China), Qing He (Institute of Computing Technology , Chinese Academy of Sciences, & University of Chinese Academy of Sciences, China)
  • Automatic Error Correction Using the Wikipedia Page Revision History ‐ Md Kamrul Hasan (Technische Universität Berlin, Germany), Mohammad Mahdavi (GISMA University of Applied Sciences, Germany)
  • FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update ‐ Junyu Luo (Beihang University, China), Jianlei Yang (Beihang University, China), Xucheng Ye (Kuaishou Technology, China), Xin Guo (Beihang University, China), Weisheng Zhao (Beihang University, China)
  • Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction ‐ Pengfei Cao (Institute of Automation, CAS & University of Chinese Academy of Sciences, China), Xinyu Zuo (Institute of Automation, CAS & Tencent, China), Yubo Chen (Institute of Automation, CAS & University of Chinese Academy of Sciences, China), Kang Liu (Institute of Automation, CAS & University of Chinese Academy of Sciences, China), Jun Zhao (Institute of Automation, CAS & University of Chinese Academy of Sciences, China), Wei Bi (Tencent, China)
  • GLocal-K: Global and Local Kernels for Recommender Systems ‐ Soyeon Caren Han (University of Sydney, Australia), Taejun Lim (University of Sydney, Australia), Siqu Long (University of Sydney, Australia), Bernd Burgstaller (Yonsei University, Republic of Korea), Josiah Poon (University of Sydney, Australia)
  • New Tight Relaxations of Rank Minimization for Multi-Task Learning ‐ Wei Chang (Northwestern Polytechnical University, China), Feiping Nie (Northwestern Polytechnical University, China), Rong Wang (Northwestern Polytechnical University, China), Xuelong Li (Northwestern Polytechnical University, China)
  • Vandalism Detection in OpenStreetMap via User Embeddings ‐ Yinxiao Li (Facebook, USA), Jennings Anderson (YetiGeoLabs, USA), Yiqi Niu (Facebook, USA)
  • Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic ‐ Wenjia Zhang (University of Warwick, United Kingdom), Lin Gui (University of Warwick, United Kingdom), Yulan He (University of Warwick, United Kingdom)
  • A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders ‐ Vito Walter Anelli (Politecnico di Bari, Italy), Yashar Deldjoo (Politecnico di Bari, Italy), Tommaso Di Noia (Politecnico di Bari, Italy), Felice Antonio Merra (Politecnico di Bari, Italy)
  • Discovering Time-invariant Causal Structure from Temporal Data ‐ Saima Absar (University of Arkansas, USA), Lu Zhang (University of Arkansas, USA)
  • When is Nearest Neighbor Meaningful: Sequential Data ‐ Aaron Hui (Cornell Univeristy, USA), Byron J. Gao (Texas State University, USA)
  • Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection ‐ Lingwei Chen (Pennsylvania State University, USA), Yujie Fan (Case Western Reserve University, USA), Yanfang Ye (Case Western Reserve University & University of Notre Dame, USA)
  • Goal-Directed Extractive Summarization of Financial Reports ‐ Yash Agrawal (IIIT, India), Vivek Anand (IIIT, India), Manish Gupta (IIIT, India), S Arunachalam (ISB, India), Vasudeva Varma (IIIT, India)
  • Lightweight Visual Question Answering using Scene Graphs ‐ Sai Vidyaranya Nuthalapati (Oxford University, United Kingdom), Ramraj Chandradevan (Emory University, USA), Eleonora Giunchiglia (Oxford University, United Kingdom), Bowen Li (Oxford University, United Kingdom), Maxime Kayser (Oxford University, United Kingdom), Thomas Lukasiewicz (Oxford University, United Kingdom), Carl Yang (Emory University, USA)
  • SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation ‐ Liuyi Yao (Alibaba Group, China), Yaliang Li (Alibaba Group, USA), Sheng Li (University of Georgia, USA), Mengdi Huai (University of Virginia, USA), Jing Gao (Purdue University, USA), Aidong Zhang (University of Virginia, USA)
  • XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering ‐ Faisal M. Almutairi (University of Minnesota, USA), Nicholas D. Sidiropoulos (University of Virginia, USA), Bo Yang (Amazon Alexa, USA)
  • Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning ‐ Kaize Ding (Arizona State University, USA), Xuan Shan (Kwai Inc., China), Huan Liu (Arizona State University, USA)
  • Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search ‐ Maciej Rybinski (CSIRO Data61, Australia), Sarvnaz Karimi (CSIRO Data61, Australia)
  • Fully Hyperbolic Graph Convolution Network for Recommendation ‐ Liping Wang (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Fenyu Hu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Shu Wu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Liang Wang (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • Training Neural Networks with Random Noise Images for Adversarial Robustness ‐ Ji-Young Park (University of South Australia, Australia), Lin Liu (University of South Australia, Australia), Jiuyong Li (University of South Australia, Australia), Jixue Liu (University of South Australia, Australia)
  • Dual Correction Strategy for Ranking Distillation in Top-N Recommender System ‐ Youngjune Lee (KAIST, Republic of Korea), Kee-Eung Kim (KAIST, Republic of Korea)
  • Locate Who You Are: Matching Geo-location to Text for User Identity Linkage ‐ Jiangli Shao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Yongqing Wang (Institute of Computing Technology, Chinese Academy of Sciences, China), Hao Gao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Huawei Shen (Institute of Computing Technology, Chinese Academy of Sciences, China), Yangyang Li (China Academic Electronic and Information Technology, China), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences, China)
  • Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search ‐ Yi Qi (Meituan, Inc., China), Ke Hu (Meituan, Inc., China), Bo Zhang (Meituan, Inc., China), Jia Cheng (Meituan, Inc., China), Jun Lei (Meituan, Inc., China)
  • Storing Multi-model Data in RDBMSs based on Reinforcement Learning ‐ Gongsheng Yuan (University of Helsinki & Renmin University of China, Finland), Jiaheng Lu (University Of Helsinki, Finland), Shuxun Zhang (University of Helsinki, Finland), Zhengtong Yan (University of Helsinki, Finland)
  • Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval ‐ Jun Rao (Harbin Institute of Technology, Shenzhen, China), Tao Qian (Harbin Institute of Technology, Shenzhen, China), Shuhan Qi (Harbin Institute of Technology, Shenzhen, China), Yulin Wu (Harbin Institute of Technology, Shenzhen, China), Qing Liao (Harbin Institute of Technology, Shenzhen, China), Xuan Wang (Harbin Institute of Technology, Shenzhen, China)
  • Distilling Numeral Information for Volatility Forecasting ‐ Chung-Chi Chen (National Taiwan University, Taiwan Roc), Hen-Hsen Huang (Academia Sinica & MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan Roc), Yu-Lieh Huang (National Tsing Hua University & National Taiwan University, Taiwan Roc), Hsin-Hsi Chen (National Taiwan University & MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan Roc)
  • NQuAD: 70,000+ Questions for Machine Comprehension of the Numerals in Text ‐ Chung-Chi Chen (National Taiwan University, Taiwan Roc), Hen-Hsen Huang (Academia Sinica & MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan Roc), Hsin-Hsi Chen (National Taiwan University & MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan Roc)
  • Constructing Noise Free Economic Policy Uncertainty Index ‐ Chung-Chi Chen (National Taiwan University, Taiwan Roc), Hen-Hsen Huang (Academia Sinica, Taiwan Roc), Yu-Lieh Huang (National Tsing Hua University, Taiwan Roc), Hsin-Hsi Chen (National Taiwan University, Taiwan Roc)
  • SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary ‐ Jiaan Wang (Soochow University, China), Zhixu Li (Fudan University, China), Qiang Yang (King Abdullah University of Science and Technology, Saudi Arabia), Jianfeng Qu (Soochow University, China), Zhigang Chen (State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, China), Qingsheng Liu (Anhui Toycloud Technology, China), Guoping Hu (State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, China)
  • DeepGroup: Group Recommendation with Implicit Feedback ‐ Sarina Sajjadi Ghaemmaghami (Ontario Tech University, Canada), Amirali Salehi-Abari (Ontario Tech University, Canada)
  • Asterisk-Shaped Features for Tabular Data ‐ Yuki Kurauchi (NTT Corporation, Japan), Yoshiaki Takimoto (NTT Corporation, Japan), Shuhei Yamamoto (NTT Corporation, Japan), Shunichi Seko (NTT Corporation, Japan), Hiroyuki Toda (NTT Corporation, Japan)
  • Fair and Robust Classification Under Sample Selection Bias ‐ Wei Du (University of Arkansas, USA), Xintao Wu (University of Arkansas, USA)
  • Temporal Network Embedding via Tensor Factorization ‐ Jing Ma (Emory University, USA), Qiuchen Zhang (Emory University, USA), Jian Lou (Emory University & Xidian University, USA), Li Xiong (Emory University, USA), Joyce C Ho (Emory University, USA)
  • OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval ‐ Mingyang Li (Tsinghua University, China), Shao-Lun Huang (Tsinghua University, China), Lin Zhang (Tsinghua University, China)
  • Binary Code based Hash Embedding for Web-scale Applications ‐ Bencheng Yan (Alibaba Group, China), Pengjie Wang (Alibaba Group, China), Jinquan Liu (Alibaba Group, China), Wei Lin (Alibaba Group, China), Kuang-Chih Lee (Alibaba Group, China), Jian Xu (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer ‐ Bencheng Yan (Alibaba Group, China), Pengjie Wang (Alibaba Group, China), Kai Zhang (Alibaba Group, China), Wei Lin (Alibaba Group, China), Kuang-Chih Lee (Alibaba Group, China), Jian Xu (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation ‐ Xiao Han (Utah State University, USA), Shuhan Yuan (Utah State University, USA)
  • Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization ‐ Lili Wang (Dartmouth College, USA), Chenghan Huang (Millennium Management, LLC, USA), Weicheng Ma (Dartmouth College, USA), Xinyuan Cao (Georgia Institute of Technology, USA), Soroush Vosoughi (Dartmouth College, USA)
  • Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps ‐ Oren Barkan (The Open University, Israel), Edan Hauon (IDC Herzeliya, Israel), Avi Caciularu (Bar-Ilan University, Israel), Ori Katz (Microsoft & Technion, Israel), Itzik Malkiel (Tel Aviv University, Israel), Omri Armstrong (Tel Aviv University, Israel), Noam Koenigstein (Microsoft & Tel Aviv University, Israel)
  • Operation Diagnosis on Procedure Graph: The Task and Dataset ‐ Ruipu Luo (Fudan University, China), Qi Zhu (Fudan University, China), Qin Chen (East China Normal University, China), Siyuan Wang (Fudan University, China), Zhongyu Wei (Fudan University, China), Weijian Sun (Huawei Technologies Co. Ltd, China), Shuang Tang (Huawei Technologies Co. Ltd, China)
  • Vector-Quantized Autoencoder With Copula for Collaborative Filtering ‐ Guanyu Wang (University of Electronic Science and Technology of China, China), Ting Zhong (University of Electronic Science and Technology of China, China), Xovee Xu (University of Electronic Science and Technology of China, China), Kunpeng Zhang (University of Maryland, College Park, USA), Fan Zhou (University of Electronic Science and Technology of China, China), Yong Wang (Zhengzhou Aiwen Computer Technology Co., Ltd. & The Hong Kong University of Science and Technology, China)
  • Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation ‐ Ruoran Huang (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Chuanqi Han (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Li Cui (Institute of Computing Technology, Chinese Academy of Sciences, China)
  • Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values ‐ Dawon Ahn (Seoul National Univeristy, Republic of Korea), Seyun Kim (The Cooper Union, USA), U Kang (Seoul National University, Republic of Korea)
  • Template-guided Clarifying Question Generation for Web Search Clarification ‐ Jian Wang (The Hong Kong Polytechnic University, China), Wenjie Li (The Hong Kong Polytechnic University, China)
  • Subtractive Aggregation for Attributed Network Anomaly Detection ‐ Shuang Zhou (The Hong Kong Polytechnic University, China), Qiaoyu Tan (The Hong Kong Polytechnic University, China), Zhiming Xu (The Hong Kong Polytechnic University, China), Xiao Huang (The Hong Kong Polytechnic University, China), Fu-lai Chung (The Hong Kong Polytechnic University, China)
  • Recommending Datasets for Scientific Problem Descriptions ‐ Michael Färber (Karlsruhe Institute of Technology (KIT), Germany), Ann-Kathrin Leisinger (Karlsruhe Institute of Technology (KIT), Germany)
  • Query-driven Segment Selection for Ranking Long Documents ‐ Youngwoo Kim (University of Massachusetts Amherst, USA), Razieh Rahimi (University of Massachusetts Amherst, USA), Hamed Bonab (University of Massachusetts Amherst, USA), James Allan (University of Massachusetts Amherst, USA)
  • Question Answering using Web Lists ‐ Anoop R. Katti (Amazon Alexa AI, Germany), Kai Hui (Amazon Alexa AI, Germany), Adria de Gispert (Amazon Alexa AI, Spain), Hagen Fuerstenau (Amazon Alexa AI, Germany)
  • Fine-Grained Element Identification in Complaint Text of Internet Fraud ‐ Tong Liu (Fudan University, China), Siyuan Wang (Fudan University, China), Jingchao Fu (Fudan University, China), Lei Chen (Fudan University, China), Zhongyu Wei (Fudan University, China), Yaqi Liu (Ant Group, China), Heng Ye (Ant Group, China), Liaosa Xu (Ant Group, China), Weiqiang Wang (Ant Group, China), Xuanjing Huang (Fudan University, China)
  • AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation ‐ Penghui Wei (Alibaba Group, China), Weimin Zhang (Alibaba Group, China), Zixuan Xu (Alibaba Group, China), Shaoguo Liu (Alibaba Group, China), Kuang-chih Lee (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • Simulated Annealing for Emotional Dialogue Systems ‐ Chengzhang Dong (University of Alberta, Canada), Chenyang Huang (University of Alberta, Canada), Osmar Zaïane (University of Alberta, Canada), Lili Mou (University of Alberta, Canada)
  • HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation ‐ Tokala Yaswanth Sri Sai Santosh (Microsoft, India), Nikhil Reddy Varimalla (IIT Kharagpur, India), Anoop Vallabhajosyula (Microsoft, India), Debarshi Kumar Sanyal (Indian Association for the Cultivation of Science, India), Partha Pratim Das (IIT Kharagpur, India)
  • Modeling Inter-Claim Interactions for Verifying Multiple Claims ‐ Shuai Wang (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Wenji Mao (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection ‐ Hyewon Choi (Sungkyunkwan University, Republic of Korea), Youngjoong Ko (Sungkyunkwan University, Republic of Korea)
  • Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic ‐ Chung-Yi Lin (National Taiwan University & Chunghwa Telecom Laboratories, Taiwan Roc), Hung-Ting Su (National Taiwan University, Taiwan Roc), Shen-Lung Tung (Chunghwa Telecom Laboratories, Taiwan Roc), Winston H. Hsu (National Taiwan University & Mobile Drive Technology, Taiwan Roc)
  • Anchor-based Collaborative Filtering ‐ Oren Barkan (The Open University & Microsoft, Israel), Roy Hirsch (Microsoft & Tel Aviv University, Israel), Ori Katz (Microsoft & Technion, Israel), Avi Caciularu (Bar-Ilan University, Israel), Noam Koenigstein (Microsoft & Tel Aviv University, Israel)
  • AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting ‐ Hongyang Su (Harbin Institute of Technology, Shenzhen, China), Xiaolong Wang (Harbin Institute of Technology, Shenzhen, China), Yang Qin (Harbin Institute of Technology, Shenzhen, China)
  • Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs ‐ Tobias Weller (University of Mannheim, Germany), Heiko Paulheim (University of Mannheim, Germany)
  • VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality ‐ Shubhangi Agarwal (Indian Institute of Technology Kanpur, India), Sourav Dutta (Huawei Research Centre, Ireland), Arnab Bhattacharya (Indian Institute of Technology Kanpur, India)
  • DESTINE: Dense Subgraph Detection on Multi-Layered Networks ‐ Zhe Xu (University of Illinois at Urbana-Champaign, USA), Si Zhang (University of Illinois at Urbana-Champaign, USA), Yinglong Xia (Facebook, USA), Liang Xiong (Facebook, USA), Jiejun Xu (HRL Laboratories, USA), Hanghang Tong (University of Illinois at Urbana-Champaign, USA)
  • Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection ‐ Negar Arabzadeh (University of Waterloo, Canada), Xinyi Yan (University of Waterloo, Canada), Charles L. A. Clarke (University of Waterloo, Canada)
  • Tabular Data Concept Type Detection Using Star-Transformers ‐ Yiwei Zhou (No affiliation, United Kingdom), Siffi Singh (Amazon Alexa, United Kingdom), Christos Christodoulopoulos (Amazon Alexa, United Kingdom)
  • Exploratory Search of GANs with Contextual Bandits ‐ Ivan Kropotov (University of Helsinki, Finland), Alan Medlar (University of Helsinki, Finland), Dorota Glowacka (University of Helsinki, Finland)
  • Location-Aware Named Entity Disambiguation ‐ Maithrreye Srinivasan (University of Alberta, Canada), Davood Rafiei (University of Alberta, Canada)
  • Age Inference Using A Hierarchical Attention Neural Network ‐ Yaguang Liu (Georgetown University, USA), Lisa Singh (Georgetown University, USA)
  • Scalable Contrast Pattern Mining over Data Streams ‐ Elaheh Alipourchavary (The University of Melbourne, Australia), Sarah M Erfani (The University of Melbourne, Australia), Christopher Leckie (The University of Melbourne, Australia)
  • Relation-aware Heterogeneous Graph for User Profiling ‐ Qilong Yan (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Yufeng Zhang (Institute of Automation, Chinese Academy of Sciences, China), Qiang Liu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Shu Wu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Liang Wang (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction ‐ Negar Arabzadeh (University of Waterloo, Canada), Maryam Khodabakhsh (Shahrood University of Technology, Iran), Ebrahim Bagheri (Ryerson University, Canada)
  • Self-Supervised Embedding for Subspace Clustering ‐ Wenjie Zhu (China Jiliang University, China), Bo Peng (The University of Queensland, Australia), Chunchun Chen (China Jiliang University, China)
  • RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction ‐ Taegwan Kang (Seoul National University, South Korea), Minwoo Lee (Seoul National University, South Korea), Nakyeong Yang (Seoul National University, South Korea), Kyomin Jung (Seoul National University, South Korea)
  • DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN ‐ Yu Wang (University of Illinois at Chicago, USA), Zhiwei Liu (University of Illinois at Chicago, USA), Ziwei Fan (University of Illinois at Chicago, USA), Lichao Sun (Lehigh University, USA), Philip S. Yu (University of Illinois at Chicago, USA)
  • Smoothing with Fake Label ‐ Ziyang Luo (Hong Kong Baptist University, China), Yadong Xi (NetEase, China), Xiaoxi Mao (NetEase, China)
  • Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation ‐ Ziwei Fan (University of Illinois at Chicago, USA), Zhiwei Liu (University of Illinois at Chicago, USA), Shen Wang (University of Illinois at Chicago, USA), Lei Zheng (Pinterest Inc., USA), Philip S. Yu (University of Illinois at Chicago, USA)
  • Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks ‐ Zhen Wang (Zhejiang Lab, China), Yang Zhang (Zhejiang Lab, China), Ai Jiang (University of St. Andrews, United Kingdom), Ji Zhang (University of Southern Queensland, Australia), Zhao Li (Alibaba Group, China), Jun Gao (Peking University, China), Ke Li (Dalian Maritime University, China), Chenhao Lu (Zhejiang Lab, China), Zujie Ren (Zhejiang Lab, China)
  • Label-informed Graph Structure Learning for Node Classification ‐ Liping Wang (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Fenyu Hu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Shu Wu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Liang Wang (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
  • Review-Aware Neural Recommendation with Cross-Modality Mutual Attention ‐ Songyin Luo (Beijing Jiaotong University, China), Xiangkui Lu (Beijing Jiaotong University, China), Jun Wu (Beijing Jiaotong University, China), Jianbo Yuan (Amazon, USA)
  • MDFEND: Multi-domain Fake News Detection ‐ Qiong Nan (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences & State Key Laboratory of Media Convergence Production Technology and Systems, China), Juan Cao (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, China), Yongchun Zhu (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, China), Yanyan Wang (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, China), Jintao Li (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, China)
  • Multimodal Graph Meta Contrastive Learning ‐ Feng Zhao (Zhejiang University & Westlake University, China), Donglin Wang (Westlake University & Westlake Institute for Advanced Study, China)
  • LTPHM: Long-term Traffic Prediction based on Hybrid Model ‐ Chuyin Huang (Sun Yat-Sen University, China), Weiyang Kong (Sun Yat-Sen University, China), Genan Dai (Sun Yat-Sen University, China), Yubao Liu (Sun Yat-Sen University & Guangdong Key Laboratory of Big Data Analysis and Processing, China)
  • Capsule Graph Neural Networks with EM Routing ‐ Yu Lei (Nanjing University of Science and Technology, China), Jing Zhang (Nanjing University of Science and Technology, China)
  • Attention Based Subgraph Classification for Link Prediction by Network Re-weighting ‐ Darong Lai (Southeast University, China), Zheyi Liu (Southeast University, China), Junyao Huang (Southeast University, China), Zhihong Chong (Southeast University, China), Weiwei Wu (Southeast University, China), Christine Nardini (National Research Council of Italy (CNR), Institute for Applied Mathematics(IAC)“Mauro Picone”, Italy)
  • Locker: Locally Constrained Self-Attentive Sequential Recommendation ‐ Zhankui He (UC San Diego, USA), Handong Zhao (Adobe Research, USA), Zhe Lin (Adobe Research, USA), Zhaowen Wang (Adobe Research, USA), Ajinkya Kale (Adobe Research, USA), Julian Mcauley (University of California San Diego, USA)
  • Density-Based Dynamic Curriculum Learning for Intent Detection ‐ Yantao Gong (Peking University & Meituan, China), Cao Liu (Meituan, China), Jiazhen Yuan (Peking University, China), Fan Yang (Meituan, China), Xunliang Cai (Meituan, China), Guanglu Wan (Meituan, China), Jiansong Chen (Meituan, China), Ruiyao Niu (Meituan, China), Houfeng Wang (Peking University, China)
  • ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning ‐ Ming Jin (Monash University, Australia), Yixin Liu (Monash University, Australia), Yu Zheng (La Trobe University, Australia), Lianhua Chi (La Trobe University, Australia), Yuan-Fang Li (Monash University, Australia), Shirui Pan (Monash University, Australia)
  • Adversarial Learning for Incentive Optimization in Mobile Payment Marketing ‐ Xuanying Chen (Ant Financial Services Group, China), Zhining Liu (Ant Financial Services Group, China), Li Yu (Ant Financial Services Group, China), Sen Li (Alibaba Group, China), Lihong Gu (Ant Financial Services Group, China), Xiaodong Zeng (Ant Financial Services Group, China), Yize Tan (Ant Financial Services Group, China), Jinjie Gu (Ant Financial Services Group, China)
  • GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction ‐ Sameen Mansha (Information Technology University of the Punjab, Pakistan), Tayyab Khalid (Information Technology University of the Punjab, Pakistan), Faisal Kamiran (Information Technology University of the Punjab, Pakistan), Masroor Hussain (Ghulam Ishaq Khan Institute of Engineering, Sciences and Technology, Pakistan), Syed Fawad Hussain (Ghulam Ishaq Khan Institute of Engineering, Sciences and Technology, Pakistan), Hongzhi Yin (The University of Queensland, Australia)
  • EasyFlinkCEP: Big Event Data Analytics for Everyone ‐ Nikos Giatrakos (Athena Research Center & Technical University of Crete, Greece), Eleni Kougioumtzi (Athens University of Economics and Business, Greece), Antonios Kontaxakis (Athena Research Center & Technical University of Crete, Greece), Antonios Deligiannakis (Athena Research Center & Technical University of Crete, Greece), Yannis Kotidis (Athens University of Economics and Business, Greece)
  • Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features ‐ Wang Zhang (Tianjin University, China), Xuan Guo (Tianjin University, China), Ting Pan (Tianjin University, China), Chaochao Liu (Chinese Academy of Cyberspace Studies, China), Pengfei Jiao (Tianjin University, China), Lin Pan (Tianjin University, China), Wenjun Wang (Tianjin University, China)
  • Reputation Equity in Ranking Systems ‐ Guilherme Ramos (University of Porto, Portugal), Ludovico Boratto (University of Cagliari, Italy), Mirko Marras (EPFL, Switzerland)
  • SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation ‐ Kai Zhang (University of Science and Technology of China, China), Hao Qian (Ant Group, China), Qi Liu (University of Science and Technology of China, China), Zhiqiang Zhang (Ant Group, China), Jun Zhou (Ant Group, China), Jianhui Ma (University of Science and Technology of China, China), Enhong Chen (University of Science and Technology of China, China)
  • Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network ‐ Xiangju Li (Northeastern University, China), Wei Gao (Singapore Management University, Singapore), Shi Feng (Northeastern University, China), Daling Wang (Northeastern University, China), Shafiq Joty (Nanyang Technological University, Singapore)
  • Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder ‐ Hang Yang (School of Artificial Intelligence, University of Chinese Academy of Sciences & National Laboratory of Pattern Recognition, CASIA, China), Yubo Chen (School of Artificial Intelligence, University of Chinese Academy of Sciences & National Laboratory of Pattern Recognition, CASIA, China), Kang Liu (School of Artificial Intelligence, University of Chinese Academy of Sciences & National Laboratory of Pattern Recognition, CASIA, China), Jun Zhao (School of Artificial Intelligence, University of Chinese Academy of Sciences & National Laboratory of Pattern Recognition, CASIA, China), Taifeng Wang (Ant Group, China)
  • Learning Sparse Binary Code for Maximum Inner Product Search ‐ Changyi Ma (The Chinese University of Hong Kong, Shenzhen, China), Fangchen Yu (The Chinese University of Hong Kong, Shenzhen, China), Yueyao Yu (The Chinese University of Hong Kong, Shenzhen, China), Wenye Li (The Chinese University of Hong Kong & Shenzhen Research Institute of Big Data, China)
  • Multi-Task Self-Supervised Learning for Script Event Prediction ‐ Bo Zhou (School of Artificial Intelligence, University of Chinese Academy of Sciences & National Laboratory of Pattern Recognition, CASIA, China), Yubo Chen (School of Artificial Intelligence, University of Chinese Academy of Sciences & National Laboratory of Pattern Recognition, CASIA, China), Kang Liu (School of Artificial Intelligence, University of Chinese Academy of Sciences & National Laboratory of Pattern Recognition, CASIA, China), Jun Zhao (School of Artificial Intelligence, University of Chinese Academy of Sciences & National Laboratory of Pattern Recognition, CASIA, China), Jiexin Xu (China Merchants Bank, China), Xiaojian Jiang (China Merchants Bank, China), Jinlong Li (China Merchants Bank, China)
  • Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification ‐ Luca Piras (Eurecat (Centre Tecnològic de Catalunya), Spain), Ludovico Boratto (University of Cagliari, Italy), Guilherme Ramos (University of Porto, Portugal)
  • Region Invariant Normalizing Flows for Mobility Transfer ‐ Vinayak Gupta (IIT Delhi, India), Srikanta Bedathur (IIT Delhi, India)
  • Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images ‐ Lin Li (Wuhan University of Technology, China), Ming Li (Wuhan University of Technology, China), Zichen Zan (Wuhan University of Technology, China), Qing Xie (Wuhan University of Technology, China), Jianquan Liu (NEC Corporation, Japan)
  • Self-supervised Fine-tuning for Efficient Passage Re-ranking ‐ Meoungjun Kim (Sungkyunkwan University, Republic of Korea), Youngjoong Ko (Sungkyunkwan University, Republic of Korea)
  • Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation ‐ Dongcheol Son (Sungkyunkwan University, Republic of Korea), Youngjoong Ko (Sungkyunkwan University, Republic of Korea)
  • Causally Attentive Collaborative Filtering ‐ Jingsen Zhang (Beijing Key Laboratory of Big Data Management and Analysis Methods & Renmin University of China, China), Xu Chen (Beijing Key Laboratory of Big Data Management and Analysis Methods & Renmin University of China, China), Wayne Xin Zhao (Beijing Key Laboratory of Big Data Management and Analysis Methods & Renmin University of China, China)
  • FairER: Entity Resolution With Fairness Constraints ‐ Vasilis Efthymiou (FORTH-ICS, Greece), Kostas Stefanidis (Tampere University, Finland), Evaggelia Pitoura (University of Ioannina, Greece), Vassilis Christophides (ENSEA, ETIS, France)
  • Variational Graph Normalized AutoEncoders ‐ Seong Jin Ahn (KAIST, Republic of Korea), MyoungHo Kim (KAIST, Republic of Korea)
  • Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations ‐ Marco Del Tredici (Amazon Alexa AI, Germany), Gianni Barlacchi (Amazon Alexa AI, Germany), Xiaoyu Shen (Amazon Alexa AI, Germany), Weiwei Cheng (Amazon Alexa AI, Germany), Adriá de Gispert (Amazon Alexa AI, Spain)
  • Aspect Sentiment Triplet Extraction Using Reinforcement Learning ‐ Samson Yu Bai Jian (Singapore University of Technology and Design, Singapore), Tapas Nayak (Indian Institute of Technology Kharagpur, India), Navonil Majumder (Singapore University of Technology and Design, Singapore), Soujanya Poria (Singapore University of Technology and Design, Singapore)
  • A Conditional Cascade Model for Relational Triple Extraction ‐ Feiliang Ren (Northeastern University, China), Longhui Zhang (Northeastern University, China), Shujuan Yin (Northeastern University, China), Xiaofeng Zhao (Northeastern University, China), Shilei Liu (Northeastern University, China), Bochao Li (Northeastern University, China)
  • GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation ‐ Xuming Lin (Alibaba Group, China), Shaobo Cui (Alibaba Group, China), Zhongzhou Zhao (Alibaba Group, China), Wei Zhou (Alibaba Group, China), Ji Zhang (Alibaba Group, China), Haiqing Chen (Alibaba Group, China)
  • Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback ‐ HongChien Yu (Carnegie Mellon University, USA), Chenyan Xiong (Microsoft Research, USA), Jamie Callan (Carnegie Mellon University, USA)
  • Accelerating Variant Calling on Human Genomes Using a Commodity Cluster ‐ Praveen Rao (University of Missouri-Columbia, USA), Arun Zachariah (University of Missouri-Columbia, USA), Deepthi Rao (University of Missouri-Columbia, USA), Peter Tonellato (University of Missouri-Columbia, USA), Wesley Warren (University of Missouri-Columbia, USA), Eduardo Simoes (University of Missouri-Columbia, USA)
  • Boosting Graph Alignment Algorithms ‐ Alexander Frederiksen Kyster (Aarhus University, Denmark), Simon Daugaard Nielsen (Aarhus University, Denmark), Judith Hermanns (Aarhus University, Denmark), Davide Mottin (Aarhus University, Denmark), Panagiotis Karras (Aarhus University, Denmark)
  • Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging ‐ Zhiling Zhang (Shanghai Jiao Tong University, China), Zelin Zhou (Shanghai Jiao Tong University, China), Haifeng Tang (CMB Credit Card Center, China), Guangwei Li (Shanghai Jiao Tong University, China), Mengyue Wu (Shanghai Jiao Tong University, China), Kenny Q. Zhu (Shanghai Jiao Tong University, China)
  • Does Adversarial Oversampling Help us? ‐ Tanmoy Dam (University of New South Wales, Australia), Md Meftahul Ferdaus (Agency for Science, Technology and Research (A*STAR), Singapore), Sreenatha G. Anavatti (University of New South Wales, Australia), Senthilnath Jayavelu (Agency for Science, Technology and Research (A*STAR), Singapore), Hussein A Abbass (University of New South Wales, Australia)
  • Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems ‐ Yuening Wang (McGill University, Canada), Yingxue Zhang (Huawei Noah's Ark Lab, Canada), Mark Coates (McGill University, Canada)
  • State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval ‐ Jiqun Liu (The University of Oklahoma, USA), Ran Yu (University of Bonn, Germany)
  • MGNETS: Multi-Graph Neural Networks for Table Search ‐ Zhiyu Chen (Lehigh University, USA), Mohamed Trabelsi (Lehigh University, USA), Jeff Heflin (Lehigh University, USA), Dawei Yin (Baidu Inc., China), Brian D. Davison (Lehigh University, USA)
  • How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach ‐ Mira Ait-Saada (Université de Paris CNRS, Centre Borelli UMR 9010 & Groupe Caisse des Dépôts, France), François Role (Université de Paris, CNRS, Centre Borelli UMR 9010, France), Mohamed Nadif (Université de Paris, CNRS, Centre Borelli UMR 9010, France)
  • Fairness-Aware Unsupervised Feature Selection ‐ Xiaoying Xing (Tsinghua University, China), Hongfu Liu (Brandeis University, USA), Chen Chen (University of Virginia, USA), Jundong Li (University of Virginia, USA)
  • On Skipping Behaviour Types in Music Streaming Sessions ‐ Francesco Meggetto (University of Strathclyde, United Kingdom), Crawford Revie (University of Strathclyde, United Kingdom), John Levine (University of Strathclyde, United Kingdom), Yashar Moshfeghi (University of Strathclyde, United Kingdom)
  • Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection ‐ Erick Draayer (New Mexico State University, USA), Huiping Cao (New Mexico State University, USA), Yifan Hao (New Mexico State University, USA)
  • UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion ‐ Toon Koppelaars (Oracle America, Inc., Netherlands), Xavier Oriol (Universitat Politècnica de Catalunya, Spain), Ernest Teniente (Universitat Politècnica de Catalunya, Spain), Sergi Curto (Universitat Politècnica de Catalunya, Spain), Eduard Pujol (Universitat Politècnica de Catalunya, Spain)
  • Knowledge-Aware Neural Networks for Medical Forum Question Classification ‐ Soumyadeep Roy (Indian Institute of Technology Kharagpur, India), Sudip Chakraborty (Indian Institute of Technology Kharagpur, India), Aishik Mandal (Indian Institute of Technology Kharagpur, India), Gunjan Balde (Indian Institute of Technology Kharagpur, India), Prakhar Sharma (Indian Institute of Technology Kharagpur, India), Anandhavelu Natarajan (Adobe Research, India), Megha Khosla (L3S Research Center, Germany), Shamik Sural (Indian Institute of Technology Kharagpur, India), Niloy Ganguly (Indian Institute of Technology Kharagpur, India)
  • Towards Robustness to Label Noise in Text Classification via Noise Modeling ‐ Siddhant Garg (Amazon Alexa AI, USA), Goutham Ramakrishnan (Health at Scale Corporation, USA), Varun Thumbe (KLA Corporation, USA)
  • Multi-objective Privacy-preserving Text Representation Learning ‐ Huixin Zhan (Texas Tech University, USA), Kun Zhang (Xavier University of Louisiana, USA), Chenyi Hu (University of Central Arkansas, USA), Victor Sheng (Texas Tech University, USA)
  • CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese ‐ Zijing Ji (Tianjin University & Tianjin Key Laboratory of Cognitive Computing and Application, China), Xin Wang (Tianjin University & Tianjin Key Laboratory of Cognitive Computing and Application, China), Yuxin Shen (Tianjin University & Tianjin Key Laboratory of Cognitive Computing and Application, China), Guozheng Rao (Tianjin University & Tianjin Key Laboratory of Cognitive Computing and Application, China)
  • Graph Representation Learning via Adversarial Variational Bayes ‐ Yunhe Li (University of Montreal, Canada), Yaochen Hu (Huawei Noah's Ark Lab, Canada), Yingxue Zhang (Huawei Noah's Ark Lab, Canada)
  • Centerpoint Query Authentication ‐ Magnus Haxen (Aarhus University, Denmark), Morten Raeburn (Aarhus University, Denmark), Peyman Afshani (Aarhus University, Denmark), Panagiotis Karras (Aarhus University, Denmark)
  • Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems ‐ Kian Ahrabian (MILA & McGill University, Canada), Yishi Xu (Huawei Noah's Ark Lab, Canada), Yingxue Zhang (Huawei Noah's Ark Lab, Canada), Jiapeng Wu (MILA & McGill University, Canada), Yuening Wang (McGill University, Canada), Mark Coates (McGill University, Canada)
  • Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones ‐ Kalpa Gunaratna (Samsung Research America, USA), Vijay Srinivasan (Samsung Research America, USA), Sandeep Nama (Samsung Research America, USA), Hongxia Jin (Samsung Research America, USA)
  • Evaluating Fairness in Argument Retrieval ‐ Sachin Pathiyan Cherumanal (RMIT University, Australia), Damiano Spina (RMIT University, Australia), Falk Scholer (RMIT University, Australia), W. Bruce Croft (University of Massachusetts, USA)
  • Collaborative Experts Discovery in Social Coding Platforms ‐ Roohollah Etemadi (Ryerson University, Canada), Morteza Zihayat (Ryerson University, Canada), Kuan Feng (IBM Canada Ltd., Canada), Jason Adelman (IBM Canada Ltd., Canada), Ebrahim Bagheri (Ryerson University, Canada)
  • Span-level Emotion Cause Analysis with Neural Sequence Tagging ‐ Xiangju Li (Northeastern University, China), Wei Gao (Singapore Management University, Singapore), Shi Feng (Northeastern University, China), Daling Wang (Northeastern University, China), Shafiq Joty (Nanyang Technological University, Singapore)
  • SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings ‐ Hongkuan Zhou (University of Southern California, USA), James Orme-Rogers (University of Southern California, USA), Rajgopal Kannan (US Army Research Lab, USA), Viktor Prasanna (University of Southern California, USA)
  • The Effect of News Article Quality on Ad Consumption ‐ Kojiro Iizuka (Gunosy Inc. & University of Tsukuba, Japan), Yoshifumi Seki (Gunosy Inc., Japan), Makoto P. Kato (University of Tsukuba & JST, PRESTO, Japan)
  • AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs ‐ Dongyue Li (Shanghai Jiao Tong University & Shanghai Qi Zhi Institute, China), Tao Yang (Shanghai Jiao Tong University & Shanghai Qi Zhi Institute, China), Lun Du (Microsoft Research Asia, China), Zhezhi He (Shanghai Jiao Tong University, China), Li Jiang (Shanghai Jiao Tong University & Shanghai Qi Zhi Institute, China)
  • MixBERT for Image-Ad Relevance Scoring in Advertising ‐ Tan Yu (Baidu Research, USA), Xiaokang Li (Baidu Inc., China), Jianwen Xie (Baidu Research, USA), Ruiyang Yin (Baidu Research, China), Qing Xu (Baidu Inc., China), Ping Li (Baidu Research, USA)
  • CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models ‐ Minwoo Lee (Seoul National University, Republic of Korea), Seungpil Won (Seoul National University, Republic of Korea), Juae Kim (AIRS Company, Hyundai Motor Group, Republic of Korea), Hwanhee Lee (Seoul National University, Republic of Korea), Cheoneum Park (AIRS Company, Hyundai Motor Group, Republic of Korea), Kyomin Jung (Seoul National University, Republic of Korea)
  • Multi-objective Few-shot Learning for Fair Classification ‐ Ishani Mondal (Microsoft Resarch, India), Procheta Sen (Dublin CIty University, Ireland), Debasis Ganguly (University of Glasgow, United Kingdom)
  • Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search ‐ Lun Du (Microsoft Research Asia, China), Xiaozhou Shi (Beijing University of Technology, China), Yanlin Wang (Microsoft Research Asia, China), Ensheng Shi (Xi’an Jiaotong University, China), Shi Han (Microsoft Research Asia, China), Dongmei Zhang (Microsoft Research Asia, China)
  • Counterfactual Generative Smoothing for Imbalanced Natural Language Classification ‐ Hojae Han (Seoul National University, Republic of Korea), Seungtaek Choi (Yonsei University, Republic of Korea), Myeongho Jeong (Yonsei University, Republic of Korea), Jin-woo Park (Facebook Inc., USA), Seung-won Hwang (Seoul National University, Republic of Korea)
  • Understanding Multi-channel Customer Behavior in Retail ‐ Mozhdeh Ariannezhad (University of Amsterdam, Netherlands), Sami Jullien (University of Amsterdam, Netherlands), Pim Nauts (Albert Heijn, Netherlands), Min Fang (Albert Heijn, Netherlands), Sebastian Schelter (University of Amsterdam, Netherlands), Maarten de Rijke (University of Amsterdam, Netherlands)
  • DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking ‐ Xuanyu Zhang (Du Xiaoman Financial, China), Qing Yang (Du Xiaoman Financial, China)
  • Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network ‐ Manjira Sinha (Indian Institute of Technology Kharagpur, India), Tirthankar Dasgupta (TCS Research, India)
  • Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization ‐ Manjira Sinha (Indian Institute of Technology Kharagpur, India), Tirthankar Dasgupta (TCS Research, India)
  • Neuron Campaign for Initialization Guided by Information Bottleneck Theory ‐ Haitao Mao (University of Electronic Science and Technology of China, China), Xu Chen (Peking University, China), Qiang Fu (Microsoft Research Asia, China), Lun Du (Microsoft Research Asia, China), Shi Han (Microsoft Research Asia, China), Dongmei Zhang (Microsoft Research Asia, China)
  • CauSeR: Causal Session-based Recommendations for Handling Popularity Bias ‐ Priyanka Gupta (TCS Research, India), Ankit Sharma (TCS Research, India), Pankaj Malhotra (TCS Research, India), Lovekesh Vig (TCS Research, India), Gautam Shroff (TCS Research, India)
  • GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution ‐ Yonghao Gu (Beijing University of Posts and Telecommunications & Sun Yat-Sen University, China), Liangxun Li (Beijing University of Posts and Telecommunications, China)
  • Query Embedding Pruning for Dense Retrieval ‐ Nicola Tonellotto (University of Pisa, Italy), Craig Macdonald (University of Glasgow, United Kingdom)
  • SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search ‐ Shiyang Wen (Alibaba Group, China), Yiran Chen (Alibaba Group, China), Zhi Yang (Peking University, China), Yan Zhang (Alibaba Group, China), Di Zhang (Alibaba Group, China), Liang Wang (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • Robust Adaptive-weighting Multi-view Classification ‐ Bingbing Jiang (Hangzhou Normal University, China), Junhao Xiang (Hangzhou Normal University, China), Xingyu Wu (University of Science and Technology of China, China), Wenda He (Hangzhou Normal University, China), Libin Hong (Hangzhou Normal University, China), Weiguo Sheng (Hangzhou Normal University, China)
  • Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy ‐ Chitrank Gupta (Indian Institute of Technology Bombay, India), Yash Jain (Indian Institute of Technology Bombay, India), Abir De (Indian Institute of Technology Bombay, India), Soumen Chakrabarti (Indian Institute of Technology Bombay, India)
  • On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval ‐ Craig Macdonald (University of Glasgow, United Kingdom), Nicola Tonellotto (University of Pisa, Italy)
  • Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling ‐ Arezoo Hatefi (Umeå University, Sweden), Xuan-Son Vu (Umeå University, Sweden), Monowar Bhuyan (Umeå University, Sweden), Frank Drewes (Umeå University, Sweden)
  • Misbeliefs and Biases in Health-Related Searches ‐ Alexander Bondarenko (Martin-Luther-Universität Halle-Wittenberg, Germany), Ekaterina Shirshakova (Martin-Luther-Universität Halle-Wittenberg, Germany), Marina Driker (Ural State Medical University, Russian Fed.), Matthias Hagen (Martin-Luther-Universität Halle-Wittenberg, Germany), Pavel Braslavski (Ural Federal University & HSE University, Russian Fed.)
  • BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values ‐ Qinfen Wang (Northwestern Polytechnical University, China), Siyuan Ren (Northwestern Polytechnical University, China), Yong Xia (Northwestern Polytechnical University, China), Longbing Cao (University of Technology Sydney, Australia)
  • Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks ‐ He Zhang (Monash University, Australia), Bang Wu (Monash University, Australia), Xiangwen Yang (Monash University, Australia), Chuan Zhou (AMSS, Chinese Academy of Sciences, China), Shuo Wang (CSIRO, Australia), Xingliang Yuan (Monash University, Australia), Shirui Pan (Monash University, Australia)

Demo Papers

  • A Cohesive Structure Based Bipartite Graph Analytics System ‐ Kai Wang (University of New South Wales, Australia), Yiheng Hu (University of New South Wales, Australia), Xuemin Lin (University of New South Wales, Australia), Wenjie Zhang (University of New South Wales, Australia), Lu Qin (University of Technology Sydney, Australia), Ying Zhang (University of Technology Sydney, Australia)
  • A Sentiment and Style Controllable Approach for Chinese Poetry Generation ‐ Yizhan Shao (Southeast University, China), Tong Shao (Southeast University, China), Minghao Wang (Southeast University, China), Peng Wang (Southeast University, China), Jie Gao (Southeast University, China)
  • FairCORELS, an Open-Source Library for Learning Fair Rule Lists ‐ Ulrich Aïvodji (UQAM, Canada), Julien Ferry (LAAS-CNRS, Université de Toulouse, CNRS, France), Sébastien Gambs (UQAM, Canada), Marie-José Huguet (LAAS-CNRS, Université de Toulouse, CNRS, INSA, France), Mohamed Siala (LAAS-CNRS, Université de Toulouse, CNRS, INSA, France)
  • IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks ‐ Feng Luo (Xiamen University, China), Yue Zhang (Xiamen University, China), Xiaoli Wang (Xiamen University, China)
  • DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning ‐ Aurélien Personnaz (CNRS, Univ. Grenoble Alpes, France), Sihem Amer-Yahia (CNRS, Univ. Grenoble Alpes, France), Laure Berti-Equille (IRD, ESPACE-DEV, France), Maximilian Fabricius (Max Planck Institute for Extraterrestrial Physics, Germany), Srividya Subramanian (Max Planck Institute for Extraterrestrial Physics, Germany)
  • DashBot: An ML-Guided Dashboard Generation System ‐ Sandrine Da Col (Univ. Grenoble Alpes, France), Radu Ciucanu (INSA Centre Val de Loire, LIFO, France), Marta Soare (Univ. Orléans, LIFO, France), Nassim Bouarour (CNRS, Univ. Grenoble Alpes, France), Sihem Amer-Yahia (CNRS, Univ. Grenoble Alpes, France)
  • RW-Team: Robust Team Formation using Random Walk ‐ John Nemec (Ontario Tech University, Canada), Heidar Davoudi (Ontario Tech University, Canada), Lukasz Golab (University of Waterloo, Canada), Mehdi Kargar (Ryerson University, Canada), Yuliya Lytvyn (University of Waterloo, Canada), Piotr Mierzejewski (IBM Ltd., Canada), Jaroslaw Szlichta (Ontario Tech University, Canada), Morteza Zihayat (Ryerson University, Canada)
  • A Chinese Knowledge Base Question Answering System ‐ Xiaona Xue (Mininglamp Technology, China), Jinling Jiang (Mininglamp Technology, China), Wenjian Zhang (Mininglamp Technology, China), Yanxiang Huang (Mininglamp Technology, China), Xindong Wu (Mininglamp Technology, China)
  • MVQAS: A Medical Visual Question Answering System ‐ Haoyue Bai (Xiamen University, China), Xiaoyan Shan (Xiamen University, China), Yefan Huang (Xiamen University, China), Xiaoli Wang (Xiamen University, China)
  • PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System ‐ Zhiyuan Qi (Tencent Jarvis Lab, China), Ziheng Zhang (Tencent Jarvis Lab, China), Jiaoyan Chen (University of Oxford, United Kingdom), Xi Chen (Tencent Platform and Content Group, China), Yefeng Zheng (Tencent Jarvis Lab, China)
  • From Community Search to Community Understanding: A Multimodal Community Query Engine ‐ Zhao Li (Alibaba Group, China), Pengcheng Zou (Alibaba Group, China), Xia Chen (Alibaba Group, China), Shichang Hu (Alibaba Group, China), Peng Zhang (Guangzhou University, China), Yumou Zhang (Alibaba Group, China), Bingsheng He (National University of Singapore, Singapore), Yuchen Li (Singapore Management University, Singapore), Xing Tang (Alibaba Group, China)
  • CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods ‐ Paras Sheth (Arizona State University, USA), Ujun Jeong (Arizona State University, USA), Ruocheng Guo (City University of Hong Kong, China), Huan Liu (Arizona State University, USA), K. Selçuk Candan (Arizona State University, USA)
  • SaDes: An Interactive System for Sensitivity-aware Desensitization towards Tabular Data ‐ Kechun Zhao (Xidian University, China), Hui Li (Xidian University, China), Zheng Gong (Xidian University, China), Jiangtao Cui (Xidian University, China)
  • An RDF Data Management System for Conflict Casualties ‐ Yad Fatah (American University of Beirut, Lebanon), Mark Nourallah (American University of Beirut, Lebanon), Lynn Wahab (American University of Beirut, Lebanon), Fatima K. Abu Salem (American University of Beirut, Lebanon), Shady Elbassuoni (American University of Beirut, Lebanon)
  • Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference ‐ Nifei Bi (East China Normal University, China), Xiansen Chen (East China Normal University, China), Chen Xu (East China Normal University, China), Aoying Zhou (East China Normal University, China)
  • DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs ‐ You Peng (The University of New South Wale, Australia), Wenjie Zhao (The University of New South Wale, Australia), Wenjie Zhang (The University of New South Wale, Australia), Xuemin Lin (The University of New South Wale, Australia), Ying Zhang (The University of Technology Sydney, Australia)
  • TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories ‐ Li He (University of Technology Sydney, Australia), Dingxian Wang (eBay Research America, USA), Hanzhang Wang (eBay Research America, USA), Hongxu Chen (University of Technology Sydney, Australia), Guandong Xu (University of Technology Sydney, Australia)
  • Videolytics: System for Data Analytics of Video Streams ‐ Tomáš Skopal (Charles University, Czech Rep), Dominika Ďurišková (Charles University, Czech Rep), Petr Pechman (Charles University, Czech Rep), Marek Dobranský (Charles University, Czech Rep), Vladislav Khachaturian (Czech Technical University in Prague, Czech Rep)
  • Landmark Explanation: An Explainer for Entity Matching Models ‐ Andrea Baraldi (University of Modena and Reggio Emilia, Italy), Francesco Del Buono (University of Modena and Reggio Emilia, Italy), Matteo Paganelli (University of Modena and Reggio Emilia, Italy), Francesco Guerra (University of Modena and Reggio Emilia, Italy)
  • Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens ‐ Angelos-Christos Anadiotis (Ecole Polytechnique & IPP, France), Oana Balalau (Inria & IPP, France), Théo Bouganim (Inria & IPP, France), Francesco Chimienti (Inria & IPP, France), Helena Galhardas (INESC-ID & IST, Univ. Lisboa, Portugal), Mhd Yamen Haddad (Inria & IPP, France), Stéphane Horel (Le Monde, France), Ioana Manolescu (Inria & IPP, France), Youssr Youssef (Inria & IPP, France)
  • AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce ‐ Guohai Xu (Alibaba Group, China), Hehong Chen (Alibaba Group, China), Feng-Lin Li (Alibaba Group, China), Fu Sun (Alibaba Group, China), Yunzhou Shi (Alibaba Group, China), Zhixiong Zeng (Alibaba Group, China), Wei Zhou (Alibaba Group, China), Zhongzhou Zhao (Alibaba Group, China), Ji Zhang (Alibaba Group, China)
  • Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food ‐ Xiao Li (The University of Reading, United Kingdom), Huizhi Liang (The University of Reading, United Kingdom), Zehao Liu (The University of Reading, United Kingdom)
  • FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop ‐ Zijian Zhang (L3S Research Center, Germany), Koustav Rudra (L3S Research Center, Germany), Avishek Anand (L3S Research Center, Germany)
  • SearchEHR: A Family History Search System for Clinical Decision Support ‐ Xiang Dai (CSIRO, Data61, Australia), Maciej Rybinski (CSIRO, Data61, Australia), Sarvnaz Karimi (CSIRO, Data61, Australia)
  • WhatTheWikiFact: Fact-Checking Claims Against Wikipedia ‐ Anton Chernyavskiy (HSE University, Russian Fed.), Dmitry Ilvovsky (HSE University, Russian Fed.), Preslav Nakov (Hamad Bin Khalifa University, Qatar)
  • OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning ‐ Roohollah Etemadi (Ryerson University, Canada), Morteza Zihayat (Ryerson University, Canada), Kuan Feng (IBM Canada Ltd., Canada), Jason Adelman (IBM Canada Ltd., Canada), Ebrahim Bagheri (Ryerson University, Canada)
  • Form 10-Q Itemization ‐ Yanci Zhang (Wharton Research Data Services (WRDS) & The Wharton School, USA), Tianming Du (Penn Medicine & University of Pennsylvania, USA), Yujie Sun (Wharton Research Data Services, USA), Lawrence Donohue (Wharton Research Data Services, USA), Rui Dai (Wharton Research Data Services, USA)
  • RCES: Rapid Cues Exploratory Search Using Taxonomies For COVID-19 ‐ Wei Li (Dublin City University, Ireland), Rishi Choudhary (Technological University Dublin, Ireland), Arjumand Younus (University College Dublin, Ireland), Bruno Ohana (Trinity College Dublin, Ireland), Nicole Baker (Trinity College Dublin, Ireland), Brendan Leen (Health Services Executive, Ireland), M. Atif Qureshi (Technological University Dublin, Ireland)
  • HAO Unity: A Graph-based System for Unifying Heterogeneous Data ‐ Fei Jie (Mininglamp Technology, China), Yanxiang Huang (Mininglamp Technology, China), Qiangwei Bai (Mininglamp Technology, China), Xindong Wu (Mininglamp Technology, China)
  • PyTFL: A Python-based Neural Team Formation Toolkit ‐ Radin Hamidi Rad (Ryerson University, Canada), Aabid Mitha (Ontario Tech University, Canada), Hossein Fani (University of Windsor, Canada), Mehdi Kargar (Ryerson University, Canada), Jaroslaw Szlichta (Ontario Tech University, Canada), Ebrahim Bagheri (Ryerson University, Canada)
  • Jasmine: Exploring the Dependency-Aware Execution on Distributed Shared Memory ‐ Xing Wei (East China Normal University, China), Huiqi Hu (East China Normal University, China), Xuan Zhou (East China Normal University, China), Xuecheng Qi (East China Normal University, China), Weining Qian (East China Normal University, China), Jiang Wang (Huawei, China), Aoying Zhou (East China Normal University, China)
  • CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking ‐ Jieke Li (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China), Min Yang (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China), Chengming Li (School of Intelligent Systems Engineering, Sun Yat-sen University, China)
  • A Semantic Data Marketplace for Easy Data Sharing within a Smart City ‐ André Pomp (University of Wuppertal, Germany), Alexander Paulus (University of Wuppertal, Germany), Andreas Burgdorf (University of Wuppertal, Germany), Tobias Meisen (University of Wuppertal, Germany)
  • AntOpt: A Multi-functional Large-scale Decision Optimization Platform ‐ Jun Zhou (Ant Group, China), Yang Bao (Ant Group, China), Hua Wu (Ant Group, China), Zhigang Hua (Ant Group, USA)
  • SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints ‐ Maria Krommyda (NTUA, Greece), Verena Kantere (NTUA, Greece)

Resource Papers

  • DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs ‐ Carsten Felix Draschner (University of Bonn, Germany), Claus Stadler (University of Leipzig, Germany), Farshad Bakhshandegan Moghaddam (University of Bonn, Germany), Jens Lehmann (University of Bonn & Fraunhofer IAIS, Germany), Hajira Jabeen (University of Cologne, Germany)
  • Evaluating Graph Vulnerability and Robustness using TIGER ‐ Scott Freitas (Georgia Institute of Technology, USA), Diyi Yang (Georgia Institute of Technology, USA), Srijan Kumar (Georgia Institute of Technology, USA), Hanghang Tong (University of Illinois at Urbana-Champaign, USA), Duen Horng Chau (Georgia Institute of Technology, USA)
  • PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models ‐ Benedek Rozemberczki (AstraZeneca, United Kingdom), Paul Scherer (University of Cambridge, United Kingdom), Yixuan He (University of Oxford, United Kingdom), George Panagopoulos (École Polytechnique, France), Alexander Riedel (Ernst-Abbe University for Applied Sciences, Germany), Maria Astefanoaei (IT University of Copenhagen Denmark, Denmark), Oliver Kiss (Central European University, Hungary), Ferenc Beres (ELKH SZTAKI, Hungary), Guzmán López (Tryolabs, Uruguay), Nicolas Collignon (Pedal Me, United Kingdom), Rik Sarkar (University of Edinburgh, United Kingdom)
  • LC: A Flexible, Extensible Open-Source Toolkit for Model Compression ‐ Yerlan Idelbayev (University of California, Merced, USA), Miguel Á. Carreira-Perpiñán (University of California, Merced, USA)
  • LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature ‐ Haiwen Wang (Shanghai Jiao Tong University, China), Le Zhou (Shanghai Jiao Tong University, China), Weinan Zhang (Shanghai Jiao Tong University, China), Xinbing Wang (Shanghai Jiao Tong University, China)
  • GAKG: A Multimodal Geoscience Academic Knowledge Graph ‐ Cheng Deng (Shanghai Jiao Tong University, China), Yuting Jia (Shanghai Jiao Tong University, China), Hui Xu (Shanghai Jiao Tong University, China), Chong Zhang (Shanghai Jiao Tong University, China), Jingyao Tang (Shanghai Jiao Tong University, China), Luoyi Fu (Shanghai Jiao Tong University, China), Weinan Zhang (Shanghai Jiao Tong University, China), Haisong Zhang (Tencent AI Lab, China), Xinbing Wang (Shanghai Jiao Tong University, China), Chenghu Zhou (Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, China)
  • TrUMAn: Trope Understanding in Movies and Animations ‐ Hung-Ting Su (National Taiwan University, Taiwan Roc), Po-Wei Shen (National Taiwan University, Taiwan Roc), Bing-Chen Tsai (National Taiwan University, Taiwan Roc), Wen-Feng Cheng (National Taiwan University & Microsoft, Taiwan Roc), Ke-Jyun Wang (National Taiwan University, Taiwan Roc), Winston H. Hsu (National Taiwan University & Mobile Drive Technology, Taiwan Roc)
  • Machamp: A Generalized Entity Matching Benchmark ‐ Jin Wang (Megagon Labs, USA), Yuliang Li (Megagon Labs, USA), Wataru Hirota (Megagon Labs, USA)
  • DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction ‐ Renhe Jiang (University of Tokyo & Southern University of Science and Technology, Japan), Du Yin (Southern University of Science and Technology, China), Zhaonan Wang (University of Tokyo, Japan), Yizhuo Wang (Southern University of Science and Technology, China), Jiewen Deng (Southern University of Science and Technology, China), Hangchen Liu (Southern University of Science and Technology, China), Zekun Cai (University of Tokyo, Japan), Jinliang Deng (Southern University of Science and Technology & University of Technology Sydney, China), Xuan Song (Southern University of Science and Technology & University of Tokyo, Japan), Ryosuke Shibasaki (University of Tokyo, Japan)
  • TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark ‐ Shangbin Feng (Xi'an Jiaotong University, China), Herun Wan (Xi'an Jiaotong University, China), Ningnan Wang (Xi'an Jiaotong University, China), Jundong Li (University of Virginia, USA), Minnan Luo (Xi'an Jiaotong University, China), Minnan Luo (School of Computer Science and Technology, Xi'an Jiaotong University, China)
  • MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs ‐ Jifan Yu (Tsinghua University & Tencent Inc., China), Yuquan Wang (Tsinghua University, China), Qingyang Zhong (Tsinghua University, China), Gan Luo (Tsinghua University, China), Yiming Mao (Tsinghua University, China), Kai Sun (Tsinghua University, China), Wenzheng Feng (Tsinghua University, China), Wei Xu (Tsinghua University, China), Shulin Cao (Tsinghua University, China), Kaisheng Zeng (Tsinghua University, China), Zijun Yao (Tsinghua University, China), Lei Hou (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China), Yankai Lin (Tencent Inc., China), Peng Li (Tencent Inc., China), Jie Zhou (Tencent Inc., China), Bin Xu (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China), Juanzi Li (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China), Jie Tang (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China), Maosong Sun (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China)
  • ULTRA: An Unbiased Learning To Rank Algorithm Toolbox ‐ Anh Tran (University of Utah, USA), Tao Yang (University of Utah, USA), Qingyao Ai (University of Utah, USA)
  • VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law ‐ Julien Rossi (University of Amsterdam, Netherlands), Svitlana Vakulenko (University of Amsterdam, Netherlands), Evangelos Kanoulas (University of Amsterdam, Netherlands)
  • QuaPy: A Python-Based Framework for Quantification ‐ Alejandro Moreo (Consiglio Nazionale delle Ricerche, Italy), Andrea Esuli (Consiglio Nazionale delle Ricerche, Italy), Fabrizio Sebastiani (Consiglio Nazionale delle Ricerche, Italy)
  • SoMeSci— A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles ‐ David Schindler (University of Rostock, Germany), Felix Bensmann (GESIS - Leibniz Institute for the Social Sciences, Germany), Stefan Dietze (GESIS - Leibniz Institute for the Social Sciences & Heinrich-Heine-University Düsseldorf, Germany), Frank Krüger (University of Rostock, Germany)
  • PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval ‐ Craig Macdonald (University of Glasgow, United Kingdom), Nicola Tonellotto (University of Pisa, Italy), Sean MacAvaney (University of Glasgow, United Kingdom), Iadh Ounis (University of Glasgow, United Kingdom)
  • ECEdgeNet: A Large Scale Edge Computing Dataset in the Field of E-commerce ‐ Liangwei Li (Alibaba Group, China), Chenwei Weng (Alibaba Group, China), Chengfu Huo (Alibaba Group, China), Weijun Ren (Alibaba Group, China)
  • Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean ‐ André F. A. Paschoal (Universidade de São Paulo, Brazil), Paulo Pirozelli (Universidade de São Paulo, Brazil), Valdinei Freire (Universidade de São Paulo, Brazil), Karina V. Delgado (Universidade de São Paulo, Brazil), Sarajane M. Peres (Universidade de São Paulo, Brazil), Marcos M. José (Universidade de São Paulo, Brazil), Flávio Nakasato (Universidade de São Paulo, Brazil), André S. Oliveira (Universidade de São Paulo, Brazil), Anarosa A. F. Brandão (Universidade de São Paulo, Brazil), Anna H. R. Costa (Universidade de São Paulo, Brazil), Fabio G. Cozman (Universidade de São Paulo, Brazil)
  • MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries ‐ Negar Arabzadeh (University of Waterloo, Canada), Bhaskar Mitra (Microsoft, Canada), Ebrahim Bagheri (Ryerson University, Canada)
  • CoST: An annotated Data Collection for Complex Search ‐ Cheyenne Dosso (Universite Jean-Jaures, CLLE, France), Jose G. Moreno (Universite Paul Sabatier, IRIT, France), Aline Chevalier (Universite Jean-Jaures, CLLE, France), Lynda Tamine (Universite Paul Sabatier, IRIT, France)
  • librec-auto: A Tool for Recommender Systems Experimentation ‐ Nasim Sonboli (University of Colorado, Boulder, USA), Masoud Mansoury (Eindhoven University of Technology, Netherlands), Ziyue Guo (University of Colorado, Boulder, USA), Shreyas Kadekodi (University of Colorado, Boulder, USA), Weiwen Liu (The Chinese University of Hong Kong, China), Zijun Liu (Columbia University, USA), Andrew Schwartz (University of Colorado, Boulder, USA), Robin Burke (University of Colorado, Boulder, USA)
  • Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation ‐ Negar Arabzadeh (University of Waterloo, Canada), Amin Bigdeli (Ryerson University, Canada), Shirin Seyedsalehi (Ryerson University, Canada), Morteza Zihayat (Ryerson University, Canada), Ebrahim Bagheri (Ryerson University, Canada)
  • VidLife: A Dataset for Life Event Extraction from Videos ‐ Tai-Te Chu (National Taiwan University, Taiwan Roc), An-Zi Yen (National Taiwan University, Taiwan Roc), Wei-Hong Ang (National Taiwan University, Taiwan Roc), Hen-Hsen Huang (Academia Sinica & MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan Roc), Hsin-Hsi Chen (National Taiwan University & MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan Roc)
  • GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale ‐ Nicolas Tempelmeier (Leibniz Universität Hannover, Germany), Simon Gottschalk (Leibniz Universität Hannover, Germany), Elena Demidova (University of Bonn, Germany)
  • WorldKG: A World-Scale Geographic Knowledge Graph ‐ Alishiba Dsouza (University of Bonn, Germany), Nicolas Tempelmeier (Leibniz Universität Hannover, Germany), Ran Yu (University of Bonn, Germany), Simon Gottschalk (Leibniz Universität Hannover, Germany), Elena Demidova (University of Bonn, Germany)
  • RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms ‐ Wayne Xin Zhao (Renmin University of China, China), Shanlei Mu (Renmin University of China, China), Yupeng Hou (Renmin University of China, China), Zihan Lin (Renmin University of China, China), Yushuo Chen (Renmin University of China, China), Xingyu Pan (Renmin University of China, China), Kaiyuan Li (Beijing University of Posts and Telecommunications, China), Yujie Lu (Liaoning University, China), Hui Wang (Renmin University of China, China), Changxin Tian (Renmin University of China, China), Yingqian Min (Renmin University of China, China), Zhichao Feng (Beijing University of Posts and Telecommunications, China), Xinyan Fan (Renmin University of China, China), Xu Chen (Renmin University of China, China), Pengfei Wang (Beijing University of Posts and Telecommunications, China), Wendi Ji (East China Normal University, China), Yaliang Li (Alibaba, China), Xiaoling Wang (East China Normal University, China), Ji-Rong Wen (Renmin University of China, China)

Tutorials

  • CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems ‐ Yunqi Li (Rutgers University, USA), Yingqiang Ge (Rutgers University, USA), Yongfeng Zhang (Rutgers University, USA)
  • AutoML: From Methodology to Application ‐ Yaliang Li (Alibaba Group, USA), Zhen Wang (Alibaba Group, China), Yuexiang Xie (Alibaba Group, China), Bolin Ding (Alibaba Group, USA), Kai Zeng (Alibaba Group, China), Ce Zhang (ETH Zürich, Switzerland)
  • Fake News, Disinformation, Propaganda, and Media Bias ‐ Preslav Nakov (Qatar Computing Research Institute, Qatar), Giovanni Da San Martino (University of Padova, Italy)
  • Large-Scale Information Extraction under Privacy-Aware Constraints ‐ Rajeev Gupta (Microsoft, India), Ranganath Kondapally (Microsoft, India)
  • IR From Bag-of-words to BERT and Beyond through Practical Experiments ‐ Craig Macdonald (University of Glasgow, United Kingdom), Nicola Tonellotto (University of Pisa, Italy), Sean MacAvaney (University of Glasgow, United Kingdom)
  • Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications ‐ Wenjie Ruan (University of Exeter, United Kingdom), Xinping Yi (University of Liverpool, United Kingdom), Xiaowei Huang (University of Liverpool, United Kingdom)
  • Fair Graph Mining ‐ Jian Kang (University of Illinois at Urbana-Champaign, USA), Hanghang Tong (University of Illinois at Urbana-Champaign, USA)
  • Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges ‐ Joel Barajas (Yahoo Research, Verizon Media, USA), Narayan Bhamidipati (Yahoo Research, Verizon Media, USA), James G. Shanahan (Church and Duncan Group Inc and UC Berkeley, USA)
  • Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond ‐ Djellel Difallah (NYU Abu Dhabi, UAE), Alessandro Checco (University of Sheffield, United Kingdom)

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We acknowledge and pay respect to the land and the traditional families of the Yugambeh region of South East Queensland and their Elders past, present, and emerging. The Yugambeh region includes families that identify as Kombumerri, Mununjali, Wangerriburra, and others. We also acknowledge the Traditional Custodians and their Ancestors of the lands and waters across Australia.