Long Short-Term Temporal Meta-learning in Online Recommendation

Ruobing Xie (WeChat Search Application Department, Tencent)*; Yalong Wang (Tencent); Rui Wang (Tencent); Yuanfu Lu (WeChat Search Application Department, Tencent); Yuanhang Zou (Tencent); Feng Xia (WeChat Search Application Department, Tencent); Leyu Lin

Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies

Lu Cheng (Arizona State University)*; Ruocheng Guo (City University of Hong Kong); Huan Liu (Arizona State University)

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

Chao Wen (Nanjing University of Aeronautics and Astronautics)*; Miao Xu (Alibaba Group); Zhilin Zhang (Alibaba Group); ZHENZHE ZHENG (Shanghai Jiao Tong University); Yuhui Wang (Nanjing University of Aeronautics and Astronautics, China); Xiangyu Liu (Alibaba Group)

Improving Knowledge Tracing with Collaborative Information

Ting Long (Shanghai Jiao Tong University)*; Jiarui Qin ( Shanghai Jiao Tong University); Jian Shen (Shanghai Jiao Tong University); Weinan Zhang (Shanghai Jiao Tong University); Wei Xia (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah’s Ark Lab); Xiuqia

It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences are Dynamic

Jin Huang (University of Amsterdam); Harrie Oosterhuis (Radboud University)*; Maarten de Rijke (University of Amsterdam & Ahold Delhaize)

An Ensemble Model for Combating Label Noise

Yangdi Lu (mcmaster university)*; Yang Bo (McMaster University); Wenbo He (McMaster University)

MAVE: A Product Dataset for Multi-source Attribute Value Extraction

Li Yang (Google Research); Qifan Wang (Google Research)*; Zac Yu (Google); Anand Kulkarni (Google); Sumit Sanghai (Google LLC); Bin Shu (Google); Jonathan Elsas (Google); Bhargav Kanagal (Google)

HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling

Shen Gao (Peking University)*; Yuchi Zhang (Alibaba Group); Yongliang Wang (Alibaba group); Yang Dong (antgroup); Xiuying Chen (Peking University); Dongyan Zhao (Peking University); Rui Yan (Peking University)

AdaptKT: A Domain Adaptable Method for Knowledge Tracing

Song Cheng (University of Science and Technology of China)*; Qi Liu (” University of Science and Technology of China, China”); Enhong Chen (University of Science and Technology of China); Kai Zhang (University of Science and Technology of China); Zhenya H

Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model

Haruka Kiyohara (Tokyo Institute of Technology)*; Yuta Saito (Cornell University); Tatsuya Matsuhiro (Yahoo Japan Corporation); Yusuke Narita (Yale University); Nobuyuki Shimizu (Yahoo Japan Corporation); Yasuo Yamamoto (Yahoo! Japan)

Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning

Xiaoyun Zhao (Sichuan University); Ning Yang (Sichuan University)*; Philip S Yu (UIC)

Reconfiguration Problems on Submodular Functions

Naoto Ohsaka (NEC Corporation)*; Tatsuya Matsuoka (NEC Corporation)

Sampling Multiple Nodes in Large Networks: Beyond Random Walks

Omri Ben-Eliezer (MIT)*; Talya Eden (MIT); Joel Oren (Bosch Center for Artificial Intelligence); Dimitris Fotakis (National Technical University of Athens)

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information

Yu Zhang (University of Illinois at Urbana-Champaign)*; Shweta Garg (University of Illinois at Urbana-Champaign); Yu Meng (University of Illinois at Urbana-Champaign); Xiusi Chen (University of California, Los Angeles); Jiawei Han (UIUC)

Cluster-Aware Heterogeneous Information Network Embedding

RayyanAhmad Khan (Technical University of Munich)*; Martin Kleinsteuber (Technical University of Munich)

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion

shijie zhang (The University of Queensland)*; Hongzhi Yin (The University of Queensland); Tong Chen (The University of Queensland); Zi Helen Huang (University of Queensland); Quoc Viet Hung Nguyen (Griffith University); Lizhen Cui (ShanDong University)

Translating Human Mobility Forecasting through Natural Language Generation

Hao Xue (RMIT University)*; Flora D. Salim (RMIT University); Yongli Ren (RMIT University); Charles Clarke (University of Waterloo)

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation

Chenglin Li (University of Alberta)*; Mingjun Zhao (University of Alberta); huanming zhang (South China University of Technology); Chenyun YU (City University of Hong Kong); Lei Cheng (Tencent); Guoqiang Shu (Tencent); Jianming Yang (Tencent ); Di Niu (University of Alberta)

ComGA:Community-Aware Attributed Graph Anomaly Detection

xuexiong luo (university)*; Jia Wu (Macquarie University); Amin Beheshti (Macquarie University); Jian Yang (Macquarie University); Xiankun Zhang (Tianjin University of Science and Technology); Yuan Wang (Tianjin University of Science and Technology)

Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs

Hyeonjeong Shin (KAIST); Taehyung Kwon (KAIST); Neil Shah (Snap Inc.); Kijung Shin (KAIST)*

Learning Fair Node Representations with Graph Counterfactual Fairness

Jing Ma (University of Virginia)*; Ruocheng Guo (City University of Hong Kong); Mengting Wan (Microsoft); Longqi Yang (Microsoft); Aidong Zhang (University of Virginia); Jundong Li (University of Virginia)

Personalized Transfer of User Preferences for Cross-domain Recommendation

Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences)*; Zhenwei Tang (King Abdullah University of Science and Technology); Yudan Liu (WeChat Search Application Department, Tencent); Fuzhen Zhuang (Institute of Artificial Intelligencem, Beihang University)

Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources

Sixing Wu (Peking University)*; Minghui Wang (Peking University); Ying Li (Peking University); Dawei Zhang (Peking University); Zhonghai Wu (Peking University)

CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction

Yudong Zhang (University of Science and Technology of China); Binwu Wang ( University of Science and Technology of China); ziyang shan (University of Science and Technology of China); Zhengyang Zhou (University of Science and Technology of China); Yang W

A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion

Jianhuan Zhuo (Institute of Information Engineering, Chinese Academy of Sciences)*; Qiannan Zhu (Gaoling School of Artificial Intelligence, Renmin University of China); Yinliang Yue (Institute of Information Engineering, Chinese Academy of Sciences); Yuho

Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization

Shiyin Lu (Nanjing University)*; Yu-Hang Zhou (Alibaba Group); Jing-Cheng Shi (Nanjing University; Alibaba Group); wenya zhu (Alibaba); Qingtao Yu (Alibaba); Qing-Guo Chen (Alibaba); Qing Da (Alibaba Group); Lijun Zhang (Nanjing University)

Assessing Algorithmic Biases for Musical Version Identification

Furkan Yesiler (Universitat Pompeu Fabra)*; Marius Miron (Universitat Pompeu Fabra); Joan Serra (Dolby Laboratories); Emilia Gomez (Universitat Pompeu Fabra)

Ranking Friend Stories on Social Platforms with Edge-Contextual Local Graph Convolutions

Xianfeng Tang (Amazon)*; Yozen Liu (Snap Inc); Xinran He (Snap Inc.); Suhang Wang (Pennsylvania State University); Neil Shah (Snap Inc.)

Harvesting More Answer Spans from Paragraph beyond Annotation

Qiaoben Bao (Fudan University); Jiangjie Chen (Fudan University); Linfang Liu (Fudan University); Jingping Liu (Fudan University); Jiaqing Liang (Fudan University); Yanghua Xiao (Fudan University)*

Predicting Human Mobility via Graph Convolutional Dual-attentive Networks

Weizhen Dang (Tsinghua University); Haibo Wang (Tsinghua University)*; Shirui Pan (Monash University); Pei ZHANG (Beijing University of Posts and Telecommunications); Chuan Zhou (Chinese Academy of Sciences); Xin Chen (Tsinghua University); Jilong Wang (Tsinghua University)

Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce

Xuesi Wang (Alibaba); Guangda Huzhang (Alibaba); Qianying Lin (Alibaba)*; Qing Da (Alibaba Group)

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing

Chengkun Zhang (the University of Sydney)*; Hongxu Chen (University of Technology Sydney); Sixiao Zhang (University of Technology Sydney); Guandong Xu (University of Technology Sydney, Australia); Junbin Gao (University of Sydney, Australia)

Scope-aware Re-ranking with Gated Attention in Feed

Hao Qian (Ant Services Group)*; Qintong Wu (Ant Group ); Kai Zhang (University of Science and Technology of China); Zhiqiang Zhang (Ant Group); Lihong Gu (Ant Group); Xiaodong Zeng (Ant Services Group ); Jun Zhou (Ant Financial); Jinjie Gu (Ant Group)

Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training

Jia Li (Peking University); Chongyang Tao (Microsoft)*; Huang Hu (Microsoft); Can Xu (microsoft); Yining Chen (Microsoft); Daxin Jiang (Microsoft, Beijing, China)

Knowledge Enhanced Sports Game Summarization

Jiaan Wang (Soochow University)*; Zhixu Li (Fudan University); Tingyi Zhang (Soochow University); Duo Zheng (Beijing University of Posts and Telecommunications); JIanfeng Qu (Soochow University); An Liu (Soochow University); Lei Zhao (Soochow University)

How Do You Test a Test? A Multifaceted Examination of Significance Tests

Nicola Ferro (University of Padova)*; Mark Sanderson (RMIT University)

Causal Mediation Analysis with Hidden Confounders

Lu Cheng (Arizona State University)*; Ruocheng Guo (City University of Hong Kong); Huan Liu (Arizona State University)

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

Enyan Dai (The Pennsylvania State University); Wei Jin (Michigan State University); Hui Liu (Michigan State University); Suhang Wang (Pennsylvania State University)*

A Simple but Effective Bidirectional Framework for Relational Triple Extraction

Feiliang Ren (Northeastern University)*; Longhui Zhang (Northeastern University); Shujuan Yin (Northeastern University); Xiaofeng Zhao (Northeastern University); Shilei Liu (Northeastern University); Bochao Li (Northeastern University)

Graph Logic Reasoning for Recommendation and Link Prediction

Hanxiong Chen (Rutgers University)*; Yunqi Li (Rutgers University); Shaoyun Shi (Tsinghua University); Shuchang Liu (Rutgers University); He Zhu (Rutgers University); Yongfeng Zhang (Rutgers University)

Structure Meets Sequences: Predicting Network of Co-evolving Sequences

Yaojing Wang (NJU)*; Yuan Yao (Nanjing University); Feng Xu (Nanjing University); Yada Zhu (IBM Research); Hanghang Tong (University of Illinois at Urbana-Champaign)

Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking

Chengzhen Fu (huawei)*; EnRui Hu (ZheJiang University); letian feng (huawei.com); Zhicheng Dou (Remin University of China); Yantao Jia (Huawei Technologies Co., Ltd); Lei Chen (Hong Kong University of Science and Technology); Fan Yu (Huawei Technologies Co., Ltd)

Combinatorial Bandits under Strategic Manipulations

Jing Dong (The Chinese University of Hong Kong, Shenzhen)*; Ke Li (The Chinese University of Hong Kong, Shenzhen); Shuai Li (Shanghai Jiao Tong University); Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen)

Joint Learning of E-commerce Search and Recommendation with A Unified Graph Neural Network

Kai Zhao (Alibaba Group)*; Yukun Zheng (Alibaba inc.); Tao Zhuang (Alibaba Group); Xiang Li (Alibaba Group); Xiaoyi Zeng (Alibaba Group)

Improving Session Search by Modeling Multi-Granularity Historical Query Change

Xiaochen Zuo (Renmin University of China)*; Zhicheng Dou (Remin University of China)

Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations

Yuning You (Texas A&M University)*; Tianlong Chen (Unversity of Texas at Austin); Zhangyang Wang (University of Texas at Austin); Yang Shen (Texas A&M University)

Few-shot Link Prediction in Dynamic Networks

Cheng Yang (Beijing University of Posts and Telecommunications)*; Chunchen Wang (Beijing University of Posts and Telecommunications); Yuanfu Lu (WeChat Search Application Department, Tencent); Xumeng Gong (Beijing University of Posts and Telecommunication)

MonLAD: Money Laundering Agents Detection in Transaction Streams

Xiaobing Sun (Institute of Computing Technology, CAS, China)*; Wenjie Feng (National University of Singapore ); Shenghua Liu (Institute of Computing Technology, CAS, China); Yuyang Xie (Tsinghua University); Siddharth Bhatia (National University of Singapore)

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation

Yankai Chen (The Chinese University of Hong Kong)*; Menglin Yang (The Chinese University of Hong Kong); Yingxue Zhang (Huawei Technologies Canada); Mengchen Zhao (Huawei Noah’s Ark Lab); Ziqiao Meng (Chinese University of Hong Kong); Jianye Hao (Huawei Noah’s Ark Lab)

External Evaluation of Ranking Models under Extreme Position-Bias

Yaron Fairstein (Technion); Elad Haramaty (Amazon); Arnon Lazerson (Amazon)*; Liane Lewin-Eytan (Amazon)

`It’s on the tip of my tongue’: A new dataset for Known-Item Retrieval

Samarth Bhargav (University of Amsterdam)*; Georgios Sidiropoulos (University of Amsterdam); Evangelos Kanoulas (University of Amsterdam)

Multi-Scale Variational Graph AutoEncoder for Link Prediction

Zhihao Guo (Shanxi University); Feng Wang ()*; Kaixuan Yao (Shanxi University); Jiye Liang (Shanxi University); Zhiqiang Wang (Shanxi University)

Sentiment Analysis of Fashion Related Posts in Social Media

Yifei Yuan (The Chinese University of Hong Kong)*; Wai Lam (The Chinese University of Hong Kong)

Learning Transferable Node Representations for Attribute Extraction from Web Documents

Yichao Zhou (UCLA)*; Ying Sheng (Google); Nguyen Vo (Google); Nick Edmonds (Google); Sandeep Tata (“Google, USA”)

GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning

Minjia Zhang (Microsoft AI and Research)*; Wenhan Wang (Microsoft); Yuxiong He (Microsoft)

Multi-Resolution Attention for Personalized Item Search

Furkan Kocayusufoglu (UC, Santa Barbara)*; Tao Wu (Google Research); Anima Singh (Google); Georgios Roumpos (Google Research); Heng-Tze Cheng (Google Research); Sagar Jain (Google); Ed H. Chi (Google); Ambuj K Singh (UCSB)

Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning

Ziwei Zhu (Texas A&M University)*; James Caverlee (Texas A&M University)

On Generalizing Static Node Embedding to Dynamic Settings

Di Jin (University of Michigan)*; Sungchul Kim (Adobe); Ryan Rossi (Adobe Research); Danai Koutra (U Michigan)

KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification

Wei Ju (Peking University)*; Junwei Yang (Peking University); Meng Qu (Mila); Weiping Song (Peking University); Jianhao Shen (Peking University); Ming Zhang (Peking University)

A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction

Chao Wang (Fudan University)*; Jingping Liu (Fudan University); Tianyi Zhuang (Fudan university); Jiahang Li (Fudan University); Juntao Liu (Fudan University); Yanghua Xiao (Fudan University); Wei Wang (” Fudan University, China”); Rui Xie (Meituan)

Diversified Query Generation Guided by Knowledge Graph

Xinyao Shen (Fudan University)*; Jiangjie Chen (Fudan University); Jiaze Chen (Bytedance); Chun Zeng (Fudan University); Yanghua Xiao (Fudan University)

Enumerating Fair Packages for Group Recommendations

Ryoma Sato (Kyoto University)*

Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation

Ruihong Qiu (The University of Queensland)*; Zi Helen Huang (University of Queensland); Hongzhi Yin (The University of Queensland); Zijian Wang (University of Queensland)

Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders

Juntao Zhang (Wuhan University)*; nanzhou lin (Wuhan University); Xuelong Zhang (Wuhan University); Wei Song (Wuhan University); Xiandi Yang (Wuhan University); Zhiyong Peng (” Wuhan University, China”)

CAN: Feature Co-Action Network for Click-Through Rate Prediction

Weijie Bian (Alibaba Group); Kailun Wu (Alibaba Group); Lejian Ren (Alibaba Group); QI PI (Alibaba Group); Yujing Zhang (Alibaba Group); Can Xiao (Alibaba Group); Xiang-Rong Sheng (Alibaba Group); Yong-Nan Zhu (Alibaba Group)*; Zhangming Chan (Alibaba Group)

VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering

Wanqi Ma (Shenzhen University); Xiancong Chen (Shenzhen University); Weike Pan (Shenzhen University)*; Zhong Ming (Shenzhen University)

DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning

Yushan Zhu (Zhejiang University)*; Wen Zhang (Zhejiang University); Mingyang Chen (Zhejiang University); Hui Chen (Alibaba Group); Xu Cheng (Peking University); Wei Zhang (Alibaba Group); Huajun Chen (Zhejiang University)

RLMob: Deep Reinforcement Learning for Successive Mobility Prediction

Ziyan Luo (Mila, McGill University)*; Congcong Miao (Tsinghua University)

On Sampling Collaborative Filtering Datasets

Noveen Sachdeva (UC San Diego)*; Carole-Jean Wu (Facebook AI Research); Julian McAuley (UCSD)

Evaluating Mixed-initiative Conversational Search Systems via User Simulation

Ivan Sekulic (USI); Mohammad Aliannejadi (University of Amsterdam)*; Fabio Crestani (Universita della Svizzera italiana)

Understanding and Mitigating the Effect of Outliers in Fair Ranking

Fatemeh Sarvi (University of Amsterdam)*; Maria Heuss (University of Amsterdam); Mohammad Aliannejadi (University of Amsterdam); Sebastian Schelter (University of Amsterdam); Maarten de Rijke (University of Amsterdam & Ahold Delhaize)

Fast Semantic Matching via Flexible Contextualized Interaction

Wenwen Ye (Baidu Inc.)*; Yiding Liu (Baidu Inc.); Lixin Zou (Baidu Inc.); Hengyi Cai (Baidu Inc.); Suqi Cheng (Baidu Inc.); Shuaiqiang Wang (Baidu Inc.); Dawei Yin (Baidu)

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Jingtao Zhan (Tsinghua University)*; Jiaxin Mao (Renmin University of China); Yiqun LIU (Tsinghua University); Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences); Min Zhang (Tsinghua University); Shaoping Ma (Tsinghua University)

ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction

Liang Zhao (Chongqing University); Min Gao (Chongqing University)*; Zongwei Wang (Chongqing University)

Query Interpretations from Entity-Linked Segmentations

Vaibhav Kasturia (MLU Halle-Wittenberg); Marcel Gohsen (Bauhaus-Universität Weimar); Matthias Hagen (Martin-Luther-Universität Halle-Wittenberg)*

Efficient Reachability Query with Extreme Labeling Filter

Zhixiang Su (Nanyang Technological University)*; Di Wang (Nanyang Technological University); Xiaofeng Zhang (Harbin Institute of Technology (Shenzhen)); Lizhen Cui (ShanDong University); Chunyan Miao (NTU)

Improving Personalized Search with Dual-Feedback Network

Chenlong Deng (Renmin University of China)*; Yujia Zhou (Renmin University of China); Zhicheng Dou (Remin University of China)

A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting

Jiachuan Wang (HKUST); Lei Chen (Hong Kong University of Science and Technology)*; Charles Wang Ng (HKUST)

The Multi-vehicle Ride-Sharing Problem

Xiangyu Guo (University at Buffalo)*; Kelin Luo (TU Eindhoven); Syamantak Das (IIIT Delhi); Chaitanya Agarwal (New York University)

Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention

Chengcheng Mai (Nanjing University)*; Mengchuan Qiu (Nanjing University); Kaiwen Luo (Nanjing University); ziyan peng (Nanjing University); Liu Jian (Nanjing University); Chunfeng Yuan (Nanjing University); Yihua Huang (Nanjing University)

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

Namyong Park (Carnegie Mellon University)*; Fuchen Liu (Microsoft); Purvanshi Mehta (Microsoft); Elena D Cristofor (Microsoft); Christos Faloutsos (CMU); Yuxiao Dong (Microsoft)

Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly

Dan Kalifa (Technion – Israel Institute of Technology)*; Uriel Singer (Technion, Israel Institute of Technology); Ido Guy (eBay); Guy D. Rosin (Technion – Israel Institute of Technology); Kira Radinsky (Ebay)

Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce

Uriel Singer (Technion, Israel Institute of Technology)*; Haggai Roitman (IBM Research Haifa); yotam eshel (eBay); Alexander Nus (eBay); Ido Guy (eBay); Or Levi (eBay); Idan Hasson (eBay ); Eliyahu Kiperwasser (eBay)

POLE: Polarized Embedding for Signed Networks

Zexi Huang (University of California, Santa Barbara)*; Arlei Silva (Rice University); Ambuj K Singh (UCSB)

Graph Few-shot Class-incremental Learning

Zhen Tan (Arizona State University)*; Kaize Ding (Arizona State University); Ruocheng Guo (City University of Hong Kong); Huan Liu (Arizona State University)

ANTHEM: Attentive Hyperbolic Entity Model for Product Search

Nurendra Choudhary (Virginia Tech)*; Nikhil Rao (Amazon); Sumeet Katariya (Amazon); Karthik Subbian (Amazon); Chandan K Reddy (Virginia Tech)

Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns

Xiaofei Xu (RMIT University)*; KE DENG (RMIT University); Xiuzhen Zhang (RMIT University)

Triangle Graph Interest Network for Click-through Rate Prediction

Wensen Jiang (Alibaba Group)*; Yizhu Jiao (Fudan University); Qingqin Wang (Fudan University); Chuanming Liang (Alibaba Group); Lijie Guo (Alibaba Group); Yao Zhang (Fudan University); Zhijun Sun (Zhejiang Cainiao Supply Chain Management Co Ltd); Yun Xion

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

Yu Song (Huazhong University of Science and Technology); Shuai Sun (Huazhong University of Science and Technology); Jianxun Lian (Microsoft Research Asia); Hong Huang (Huazhong University of Science and Technology)*; Yu Li (University of Electronic Science and Technolgy of China)

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks

Zihan Luo (Huazhong University of Science and Technology); Jianxun Lian (Microsoft Research Asia); Hong Huang (Huazhong University of Science and Technology)*; Hai Jin (Huazhong University of Science and Technology); Xing Xie (Microsoft Research Asia)

ESC-GAN: Extending Spatial Coverage of Physical Sensors

Xiyuan Zhang (University of California, San Diego)*; Ranak Roy Chowdhury (University of California, San Diego); Jingbo Shang (University of California, San Diego); Rajesh Gupta (UC San Diego); Dezhi Hong (UC San Diego)

Retrieving Black-box Optimal Images from External Databases

Ryoma Sato (Kyoto University)*

ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic

Wenjun Ke (Institute Of Computing Technology Chinese Academy Of Sciences)*; Jinhua Gao (Institute of Computing Technology, Chinese Academy of Sciences); Huawei Shen (Institute of Computing Technology, Chinese Academy of Sciences); Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences)

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks

Minjin Choi (Sungkyunkwan University); Jinhong Kim (Sungkyunkwan University ); Joonseok Lee (Google Research & Seoul National University); Hyunjung Shim (Yonsei University); Jongwuk Lee (Sungkyunkwan University)*

Efficient Graph Convolution for Joint Node Representation Learning and Clustering

Chakib Fettal (Université de Paris)*; Lazhar Labiod (LIPADE); Mohamed Nadif (Université de Paris)

MtCut: A Multi-Task Framework for Ranked List Truncation

Jianxin Li (Beihang University)*; Wang Dong (Beihang University); Tianchen Zhu (Beihang University); Qishan Zhu (Beihang University); Yuxin Wen (Beihang University); Piao Hongming (Beihang University)

GAGE: Geometry Preserving Attributed Graph Embeddings

Charilaos Kanatsoulis (University of Pennsylvania)*; Nicholas D Sidiropoulos (University of Virginia)

A Counterfactual Modeling Framework for Churn Prediction

Guozhen Zhang (Tsinghua University)*; Jinwei Zeng (Tsinghua University); Zhengyue Zhao (Tsinghua University); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University)

An Unsupervised Detection Framework for Chinese Jargons in Darknet

Liang Ke (Sichuan University)*; Xinyu Chen (Sichuan University); Haizhou Wang (Sichuan University)

Directed Network Embedding with Virtual Negative Edges

Hyunsik Yoo (Hanyang University); Yeon-Chang Lee (Hanyang University); Kijung Shin (KAIST); Sang-Wook Kim (Hanyang University, Korea)*

Choosing the Best of All Worlds: Accurate, Diverse, and Novel Recommendations through Multi-Objective Reinforcement Learning

Du_an Stamenkovi_ (Department of Mathematics and Informatics, University of Novi Sad)*; Alexandros Karatzoglou (Google Research); Ioannis Arapakis (Telefonica Research); Xin Xin (Shandong University); Kleomenis Katevas (Telefonica Research)

Towards Understanding and Answering Comparative Questions

Alexander Bondarenko (Martin-Luther-Universität Halle-Wittenberg)*; Yamen Ajjour (Martin-Luther-Universität Halle-Wittenberg); Valentin Dittmar (Martin-Luther-Universität Halle-Wittenberg); Niklas Homann (Martin-Luther-Universität Halle-Wittenberg); Pavel

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Rongrong Ma (University of Technology Sydney)*; Guansong Pang (University of Adelaide); Ling Chen (” University of Technology, Sydney, Australia”); Anton van den Hengel (University of Adelaide)

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective

Lun Du (Microsoft Research)*; Xu Chen (Peking University); Fei Gao (Beijing Normal University); Qiang Fu (Microsoft Research Asia); Kunqing Xie (pku); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)

MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition

Bo Xu (Donghua University)*; Shizhou Huang (Donghua University); Chaofeng Sha (Fudan University); Hongya Wang (Donghua University)

A Peep into the Future: Adversarial Future Encoding in Recommendation

Ruobing Xie (WeChat Search Application Department, Tencent)*; Shaoliang Zhang (Tencent); Rui Wang (Tencent); Feng Xia (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent)

Variational User Modeling with Slow and Fast Features

Ghazal Fazelnia (Spotify)*; Eric Simon (Spotify); Ian Anderson (Spotify); Benjamin Carterette (Spotify); Mounia Lalmas (Spotify)

Modeling Users’ Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search

Zhifang Fan (Alibaba Group)*; Dan Ou (Alibaba Group); Yulong Gu (Alibaba Group); Bairan Fu (Nanjing University); Xiang Li (Alibaba Group); WenTian Bao (alibaba); Xin-yu Dai (Nanjing University); Xiaoyi Zeng (Alibaba Group); Tao Zhuang (Alibaba Group); Qin

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling

qianqian zhang (Alibaba)*; Xinru Liao (Alibaba Group); Quan Liu (Alibaba Group); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group)

Scalable Graph Topology Learning via Spectral Densification

Yongyu Wang (Michigan Technological University); Zhiqiang Zhao (Stevens Institute of Technology); Zhuo Feng (Stevens Institute of Technology)*

Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks

Zihan Liu (Westlake University)*; Yun Luo (Westlake university); Zelin Zang (Westlake University); Stan Z. Li (Westlake University)

Efficient two-stage label noise reduction for retrieval-based tasks

“Mengmeng Kuang (Tencent Holdings Ltd.)*; Weiyan Wang (HKUST); Zhenhong Chen (Tencent Holdings Ltd. ); Lie Kang (Tencent Holdings Ltd. ); Qiang Yan (Tencent)”

Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction

Jinquan Hang (Peking University)*; Zheng Dong (Baidu); Hengshu Zhu (Baidu); Hongke Zhao (Tianjin University); Xin Song (Baidu Inc.); Peng Wang (Baidu Inc.)

Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement

Xiaotong Wu (Nanjing Normal University)*; Lianyong Qi (Qufu Normal University); Xiaolong Xv (Nanjing University of Information Science and Technology); Shui Yu (University of Technology Sydney (UTS)); Wanchun Dou (Nanjing University); Xuyun Zhang (Macquarie University)

k-Clustering with Fair Outliers

Matteo Almanza (Sapienza University)*; Alessandro Epasto (Google); Alessandro Panconesi (Sapienza, University of Rome); Giuseppe Re (Sapienza University of Rome)

DAME: Domain Adaptation for Matching Entities

Mohamed Trabelsi (Lehigh University)*; Jeff Heflin (Lehigh University); Jin Cao (Nokia Bell Labs)

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning

Yingqiang Ge (Rutgers University)*; Xiaoting Zhao (Etsy); Lucia Yu (Etsy); Saurabh Paul (Etsy); Diane Hu (Etsy); Yongfeng Zhang (Rutgers University)

Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases

Philipp Christmann (MPI for Informatics)*; Rishiraj Saha Roy (Max Planck Institute for Informatics); Gerhard Weikum (Max-Planck-Institut fur Informatik)

Using Conjunctions for Faster Disjunctive Top-k Queries

Michal Siedlaczek (New York University)*; Antonio Mallia (New York University); Torsten Suel (“New York Univ., USA”)

Introducing the Expohedron for efficient Pareto-optimal fairness-utility amortizations in repeated rankings

Till Kletti (NaverLabs Europe)*; Jean-Michel Renders (NAVER LABS Europe); Patrick Loiseau (Inria)

Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction

Suchana Datta (University College Dublin)*; Debasis Ganguly (University of Glasgow); Derek Greene (University College Dublin); Mandar Mitra (Indian Statistical Institute, Kolkata)

Attributed Graph Modeling with Vertex Replacement Grammars

Satyaki Sikdar (University of Notre Dame); Neil Shah (Snap Inc.); Tim Weninger (University of Notre Dame)*

Towards Fair Classifiers Without Sensitive Attributes: ExploringBiases in Related Features

Tianxiang Zhao (Penn State University)*; Enyan Dai (The Pennsylvania State University); Kai Shu (Illinois Institute of Technology); Suhang Wang (Pennsylvania State University)

Supervised Advantage Actor-Critic for Recommender Systems

Xin Xin (Shandong University); Alexandros Karatzoglou (Google Research)*; Ioannis Arapakis (Telefonica Research); Joemon M Jose ( University of Glasgow)

Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT

Yingrui Yang (University of California, Santa Barbara)*; Yifan Qiao (University of California, Santa Barbara); Jinjin Shao (UCSB); Xifeng Yan (University of California, Santa Barbara); Tao Yang (UC Santa Barbara)

Wikipedia Reader Navigation: When Synthetic Data is Enough

Akhil Arora (EPFL)*; Martin Gerlach (Wikimedia Foundation); Tiziano Piccardi (EPFL); Alberto Garcia-Duran (EPFL); Robert West (EPFL)

On the Connection Between Influence Maximization and A Practical Adversarial Attack on Graph Neural Networks

Jiaqi Ma (University of Michigan)*; Junwei Deng (Shanghai Jiao Tong University); Qiaozhu Mei (University of Michigan)

Differentially Private Ensemble Classifiers for Data Streams

Lovedeep Singh Gondara (Simon Fraser University)*; Ke Wang (SFU); Ricardo Silva Carvalho (Simon Fraser University)

Graph Embedding with Hierarchical Attentive Membership

Lu Lin (University of Virginia)*; Ethan Blaser (University of Virginia); Hongning Wang (University of Virginia)

An Adaptive Unified Allocation Framework for Guaranteed Display Advertising

Xiao Cheng (Alibaba); Chuanren Liu (University of Tennessee)*; Liang Dai (Alibaba); Peng Zhang (Alibaba); Zhen Fang (Alibaba); Zhonglin Zu (alibaba)

Linear, or Non-Linear, That is the Question!

Taeyong Kong (Yonsei University); Taeri Kim (Hanyang University); Jinsung Jeon (Yonsei university); Jeongwhan Choi (Yonsei University); Yeon-Chang Lee (Hanyang University); Noseong Park (Yonsei University, Korea)*; Sang-Wook Kim (Hanyang University, Korea)

Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation

Lu Wang (East China Normal University)*; Ruiming Tang (Huawei Noah’s Ark Lab); Xiaofeng He (ECNU); Xiuqiang He (Huawei Noah’s Ark Lab)

Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs

Sahiti Labhishetty (University of Illinois Urbana-Champaign); ChengXiang Zhai (University of Illinois at Urbana-Champaign)*; Min Xie (Instacart); Lin Gong (WalmartLabs); Rahul Sharnagat (WalmartLabs); Satya Chembolu (WalmartLabs)

Collaborative Curating for Discovery and Expansion of Visual Clusters

Dung Duy Le (College of Engineering and Computer Science, VinUniversity)*; Hady Lauw (Singapore Management University)

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

Yitong Pang (Tongji University)*; Lingfei Wu (JD.COM Silicon Valley Research Center); Qi Shen (Tongji University); Yiming Zhang (Tongji University); Zhihua Wei (Tongji University); Fangli Xu (College of William and Mary); Ethan Chang (Middlesex School); B

Fast Learning of MNL Model From General Partial Rankings with Application to Network Formation Modeling

Jiaqi Ma (University of Michigan)*; Xingjian o Zhang (University of Michigan); Qiaozhu Mei (University of Michigan)

A GNN-based Multi-task Learning Framework for Personalized Video Search

Li Zhang (University of Sheffield)*; Lei Shi ( Baidu); Jiashu Zhao (Wilfrid Laurier University); Juan Yang (Baidu); Tianshu Lyv (Baidu); Dawei Yin (Baidu); Haiping Lu (University of Sheffield)

Interpretable Relation Learning on Heterogeneous Graphs

Qiang Yang (King Abdullah University of Science and Technology)*; Qiannan Zhang (King Abdullah University of Science and Technology); Chuxu Zhang (Brandeis University); Xiangliang Zhang (University of Notre Dame)

Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations

Ganeshan Malhotra (Lcs2); Abdul Waheed (Maharaja Agrasen Institute of Technology, New Delhi); ASEEM SRIVASTAVVA (IIIT Delhi)*; Md Shad Akhtar (IIIT Delhi); Tanmoy Chakraborty (Indraprastha Institute of Information Technology Delhi (IIIT-D), India )

AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss

“Cangqi Zhou (Nanjing University of Science and Technology)*; Hui Chen (Nanjing University of Science and Technology ); Jing Zhang (Nanjing University of Science and Technology); Qianmu Li (Nanjing University of Science and Technology ); Dianming Hu (Sense”

Semi-supervised Stance Detection of Tweets Via Distant Network Supervision

Subhabrata Dutta (Jadavpur University)*; Samiya Caur (IIIT-Delhi); Soumen Chakrabarti (IIT Bombay); Tanmoy Chakraborty (Indraprastha Institute of Information Technology Delhi (IIIT-D),India )

PLdFe-RR:Personalized Long-distance Fuel-efficient Route Recommendation Based On Historical Trajectory

Zhan Wang (Shandong University); Zhaohui Peng (Shandong University)*; Senzhang Wang (Central South University); Qiao Song (Shandong University)

Uncovering Causal Effects of Online Short Videos on Consumer Behaviors

Ziqi Tan (Zhejiang University)*; Shengyu Zhang (Zhejiang University); Nuanxin Hong (Zhejiang University); Kun Kuang (Zhejiang University); Yifan Yu (Zhejiang University); Zhou Zhao (Zhejiang University); Jin Yu (Alibaba Group); Hongxia Yang (Alibaba Group)

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System

Yuanhang Zhou (Renmin University of China)*; Kun Zhou (Renmin University of China); Wayne Xin Zhao (Renmin University of China); Cheng Wang (Kuaishou Inc); Peng Jiang (Kuaishou Inc.); He Hu (Renmin University of China)

Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation

Sung-Jun Park (Hanyang University); Dong-Kyu Chae (Hanyang University); Hong-Kyun Bae (Hanyang University); Sumin Park (Hanyang University); Sang-Wook Kim (Hanyang University, Korea)*

A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation

Xiangsheng Li (Tsinghua University)*; Jiaxin Mao (Renmin University of China); Weizhi Ma (Tsinghua University); Zhijing Wu (Tsinghua University); Yiqun LIU (Tsinghua University); Min Zhang (Tsinghua University); Shaoping Ma (Tsinghua University); Zhaowei

Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction

Zhenyun Hao (Shandong University); Jianing Hao (Shandong University); Zhaohui Peng (Shandong University)*; Senzhang Wang (Central South University); Philip S Yu (UIC); Xue Wang (Shandong University); Jian Wang (Shandong University)

Keyword Assisted Embedded Topic Model

Bahareh Harandizadeh (University of Southern California)*; J. Hunter Priniski (University of California, Los Angeles); Fred Morstatter (University of Southern California)

The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?

Jin Yao Chin (Nanyang Technological University)*; Yile Chen (Nanyang Technological University); Gao Cong (Nanyang Technological Univesity)

Profiling the Design Space for Graph Neural Networks based Collaborative Filtering

Zhenyi Wang (Beijing University of Posts and Telecommunications)*; Huan Zhao (4Paradigm); Chuan Shi (Beijing University of Posts and Telecommunications)

Towards Unbiased and Robust Causal Ranking for Recommender Systems

Teng Xiao (Pennsylvania State University)*; Suhang Wang (Pennsylvania State University)

Community Trend Prediction on Heterogeneous Graph in E-commerce

Jiahao Yuan (East China Normal University)*; Zhao Li (Alibaba Group); Pengcheng Zou (Alibaba Group); Xuan Gao (Alibaba Group); Jinwei Pan (East China Normal University); Wendi Ji (East China Normal University); Xiaoling Wang (East China Normal University)

Informed Multi-context Entity Alignment

KEXUAN XIN (The University of Queensland)*; Zequn Sun (Nanjing University); Wen Hua (The University of Queensland); Wei Hu (Nanjing University); Xiaofang Zhou (The Hong Kong University of Science and Technology)

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation

Jiayan Guo (Peking University)*; Yaming Yang (MSRA); Xiangchen Song (Carnegie Mellon University); Yuan Zhang (Peking University); Yujing Wang (MSRA); Jing Bai (Microsoft); Yan Zhang (Peking University)

Diversified Subgraph Query Generation with Group Fairness

Sheng Guan (Case Western Reserve University); Hanchao Ma (Case Western Reserve University)*; Yinghui Wu (Case Western Reserve University)

Learning Relevant Questions for Conversational Product Search using Reinforcement Learning

Ali Montazeralghaem (University of Massachusetts Amherst)*; James Allan (University of Massachusetts Amherst)

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

Wei Wei (South China University of Technology); Chao Huang (University of Hong Kong)*; Lianghao Xia (South China University of Technology); Yong Xu (South China University of Technology); Jiashu Zhao (Wilfrid Laurier University); Dawei Yin (Baidu)

A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism

Zhuo Chen (Fudan University)*; Baoxi Liu (Fudan University); Peng Zhang (Fudan University); Tun Lu (Fudan University); Ning Gu (Fudan University)

Time Masking for Temporal Language Models

Guy D. Rosin (Technion)*; Ido Guy (eBay); Kira Radinsky (Ebay)

MTLVS: A Multi-Task Framework to Verify and Summarize Crisis-Related Microblogs

Rajdeep Mukherjee (IIT Kharagpur)*; Uppada Vishnu (IIT Kharagpur); Chandana Peruri (IIT Kharagpur); Sourangshu Bhattacharya (IIT KHARAGPUR); niloy ganguly (IIT Kharagpur); Pawan Goyal ( Indian Institute of Technology Kharagpur); Koustav Rudra (Leibniz University Hannover)