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 Network ‐ Xiaosu 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)