Papers/Posters

TYPE

Name

Authors

Research Paper

A Biased Sampling Method for Imbalanced Personalized Ranking

Lu Yu:Ant Group;Shichao Pei:University of Notre Dame;Feng Zhu:Ant Group;Longfei Li:Ant Group;Jun Zhou:Ant Group;Chuxu Zhang:Brandeis University;Xiangliang Zhang:University of Notre Dame

Session:

S1-G Personalization

Applied Paper

A Case Study in Educational Recommenders:Recommending Music Partitures at Tomplay

Ahmad Ajalloeian, Michalis Vlachos, Johannes Schneider and Alexis Steinmann

Session:

S8-F Recommender systems

Research Paper

A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction

Hanwen Tong:Fudan University;Chenhao Xie:SenseDeal Intelligent Technology Co., Ltd.;Jiaqing Liang:Fudan University;Qianyu He:Fudan University;Zhiang Yue:Fudan University;Jingping Liu:East China University of Science and Technology;Yanghua Xiao:Fudan University,Fudan-Aishu Cognitive Intelligence Joint Research Center;Wenguang Wang:DataGrand Inc.

Session:

S4-E Mining and Learning

Applied Paper

A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction

Cao Kaiyan, Yang Deqing, Liu Jingping, Liang Jiaqing, Xiao Yanghua, Wei Feng, Wu Baohua and Lu Quan

Session:

S9-F Emerging Applications

Applied Paper

A Dual Channel Intent Evolution NetWork for User Travel Intention Prediction

Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen and Peilin Chen

Session:

S9-F Emerging Applications

Research Paper

A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention

Yuqi Qin:Beijing University of Posts and Telecommunications;Pengfei Wang:Beijing University of Posts and Telecommunications;Biyu Ma:Xidian University;Zhe Zhang:Zhejiang University

Session:

S1-G Personalization

Applied Paper

A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems

Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu and Hua Wu

Session:

S7-F Systems, Optimization & Security

Applied Paper

A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation

Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang and Ji-Rong Wen

Session:

S8-F Recommender systems

Research Paper

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning

Li Sun:North China Electric Power University;Junda Ye:Beijing University of Posts and Telecommunications;Hao Peng:Beihang University;Philip Yu:University of Illinois at Chicago

Session:

S9-C Temporal Data

Research Paper

A Simple Meta-path-free Framework for Heterogeneous Network Embedding

Rui Zhang:University of Southern Denmark;Arthur Zimek:University of Southern Denmark;Peter Schneider-Kamp:University of Southern Denmark

Session:

S2-G Network Embedding and Graph Recommendation

Research Paper

A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS

Wei Shen:Baidu Inc.;Xiaonan He:Baidu Inc.;Chuheng Zhang:Tsinghua University;Xuyun Zhang:Macquarie University;Jian Xie:Baidu Inc.

Session:

S9-A Personalization and Preference

Research Paper

Accelerating CNN via Dynamic Pattern-based Pruning Network

Gwanghan Lee:Sungkyunkwan University;Saebyeol Shin:Sungkyunkwan University;Simon Woo:Sungkyunkwan University

Session:

S4-D Scalability and Efficiency

Research Paper

Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge

Hyunsik Jeon:Seoul National University;Jongjin Kim:Seoul National University;Hoyoung Yoon:Seoul National University;Jaeri Lee:Seoul National University;U Kang:Seoul National University

Session:

S6-C Multi-label and Imbalance / CommonSense

Research Paper

AdaDebunk: An Efficient and Reliable Deep State Space Model for Adaptive Fake News Early Detection

Ke Li:Northwestern Polytechnical University;Bin Guo:Northwestern Polytechnical University;Siyuan Ren:Northwestern Polytechnical University;Zhiwen Yu:Northwestern Polytechnical University

Session:

S10-B Fake News, Facts and Views

Research Paper

AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training

Yili Wang:jilin university;Kaixiong Zhou:Rice University;Rui Miao:Jilin University;Ninghao Liu:University of Georgia;Xin Wang:Jilin University

Session:

S11-B Subgraphs and Substructure

Research Paper

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation

Haolun Wu:McGill University;Chen Ma:City University of Hong Kong;Yingxue Zhang:Huawei Noah's Ark Lab;Xue Liu:McGill University;Ruiming Tang:Huawei Noah's Ark Lab;Mark Coates:McGill University

Session:

S1-G Personalization

Applied Paper

Adaptive Domain Interest Network for Multi-domain Recommendation

Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong and Bo Zheng

Session:

S2-F Recommender Systems

Research Paper

Adaptive Multi-Source Causal Inference from Observational Data

Thanh Vinh Vo:National University of Singapore;Pengfei Wei:AI Lab Speech & Audio Bytedance;Trong Nghia Hoang:Washington State University;Tze Yun Leong:National University of Singapore

Session:

S3-E Causal Learning

Research Paper

Adaptive Re-Ranking with a Corpus Graph

Sean Macavaney:University of Glasgow;Nicola Tonellotto:University of Pisa;Craig Macdonald:University of Glasgow

Session:

S11-C Search and Text

Applied Paper

Addressing Cold Start in Product Search via Empirical Bayes

Cuize Han, Pablo Castells, Parth Gupta, Xu Xu and Vamsi Salaka

Session:

S6-F Advertising & E-commerce

Research Paper

Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning

Yao Zhou:Instacart,University of Illinois Urbana Champaign;Jun Wu:University of Illinois Urbana Champaign;Haixun Wang:Instacart;Jingrui He:University of Illinois Urbana-Champaign

Session:

S5-B Adversarial Learning

Research Paper

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion

Fuwei Zhang:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Zhao Zhang:Institute of Computing Technology, Chinese Academy of Sciences;Xiang Ao:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Fuzhen Zhuang:Institute of Artificial Intelligence, Beihang University,SKLSDE, School of Computer Science, Beihang University;Yongjun Xu:Institute of Computing Technology, Chinese Academy of Sciences;Qing He:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences

Session:

S4-B Link Prediction

Research Paper

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification

Runxue Bao:University of Pittsburgh;Bin Gu:Mohamed bin Zayed University of Artificial Intelligence;Heng Huang:University of Pittsburgh

Session:

S4-D Scalability and Efficiency

Applied Paper

An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising

Congde Yuan, Guo Mengzhuo, Chaoneng Xiang, Shuangyang Wang, Guoqing Song and Qingpeng Zhang

Session:

S3-H Reinforcement Learning

Research Paper

An Empirical Study on How People Perceive AI-generated Music

Hyeshin Chu:Ulsan National Institute of Science and Technology;Joohee Kim:Ulsan National Institute of Science and Technology;Seongouk Kim:Ulsan National Institute of Science and Technology;Hongkyu Lim:Ulsan National Institute of Science and Technology;Hyunwook Lee:Ulsan National Institute of Science and Technology;Seungmin Jin:Ulsan National Institute of Science and Technology;Jongeun Lee:Ulsan National Institute of Science and Technology;Taehwan Kim:Ulsan National Institute of Science and Technology;Sungahn Ko:Ulsan National Institute of Science and Technology

Session:

S3-A Innovative Applications

Research Paper

An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering

Sunghyun Hwang:Hanyang University;Dong-Kyu Chae:Hanyang University

Session:

S3-D Collaborative Filtering

Applied Paper

An adaptive framework for confidence-constraint rule set learning algorithm in large dataset

Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Jun Zhou, Wei Zhu and Yanming Fang

Session:

S5-F Knowledge Graphs & Knowledge Representations

Research Paper

Analysis of Knowledge Transfer in Kernel Regime

Ashkan Panahi:Chalmers University of Technology;Arman Rahbar:Chalmers University of Technology;Chiranjib Bhattacharyya:Indian Institute of Science;Devdatt Dubhashi:Chalmers University of Technology;Morteza Haghir Chehreghani:Chalmers University of Technology

Session:

S1-B Transfer Learning

Applied Paper

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation

Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng and Bo Zheng

Session:

S4-F Recommender systems

Applied Paper

Approximated Doubly Robust Search Relevance Estimation

Wenwen Ye, Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu and Dawei Yin

Session:

S6-F Advertising & E-commerce

Research Paper

Are Structural Gradients Reliable in Untargeted Gray-box Edge Perturbations?

Zihan Liu:Zhejiang University,AI Lab, Westlake Institute for Advanced Study;Yun Luo:Westlake University;Lirong Wu:AI Lab, Westlake Institute for Advanced Study;Siyuan Li:AI Lab, Westlake Institute for Advanced Study;Zicheng Liu:AI Lab, Westlake Institute for Advanced Study;Stan Li:AI Lab, Westlake Institute for Advanced Study

Session:

S5-B Adversarial Learning

Research Paper

Aries: Accurate Metric-based Representation Learning for Fast Top-k Trajectory Similarity Query

Chunhui Feng:Soochow University;Zhicheng Pan:Soochow University;Junhua Fang:Soochow University;Jiajie Xu:Soochow University;Pengpeng Zhao:Soochow University;Lei Zhao:Soochow University

Session:

S1-D Trajectories

Research Paper

Asymmetrical Context-aware Modulation for Collaborative Filtering Recommendation

Yi Ouyang:Shanghai Jiao Tong University;Peng Wu:Shanghai Jiao Tong University;Li Pan:Shanghai Jiao Tong University

Session:

S3-D Collaborative Filtering

Research Paper

AutoForecast: Automatic Time-Series Forecasting Model Selection

Mustafa Abdallah:Indiana University-Purdue University Indianapolis (IUPUI);Ryan Rossi:Adobe Systems;Kanak Mahadik:Adobe Systems;Sungchul Kim:Adobe Systems;Handong Zhao:Adobe Systems;Saurabh Bagchi:Purdue University

Session:

S2-D Time-Series Data

Research Paper

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems

Duc Hoang:University of Texas at Austin;Haotao Wang:University of Texas at Austin;Handong Zhao:Adobe Research;Ryan Rossi:Adobe Research;Sungchul Kim:Adobe;Kanak Mahadik:Adobe;Zhangyang Wang:University of Texas at Austin

Session:

S1-E Multi-modal Data

Research Paper

AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL

Guanming Xiong:Peking University;Junwei Bao:JD AI Research;Wen Zhao:Peking University;Youzheng Wu:JD AI Research;Xiaodong He:JD AI Research

Session:

S6-D Conversation and Dialogue

Research Paper

AutoXAI: a framework to automatically select the most adapted XAI solution

Robin Cugny:IRIT,SolutionData Group;Julien Aligon:IRIT;Max Chevalier:IRIT;Geoffrey Roman Jimenez:SolutionData Group;Olivier Teste:IRIT

Session:

S6-A Explainablility and Interpretability

Research Paper

Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction

Fuxian Li:Tsinghua University;Huan Yan:Tsinghua University;Guangyin Jin:Tsinghua University;Yue Liu:Alibaba Group;Yong Li:Tsinghua University;Depeng Jin:Tsinghua University

Session:

S5-A Traffic Data

Research Paper

Automatic Meta-Path Discovery for Effective Graph-Based Recommendation

Wentao Ning:The University of Hong Kong,Southern University of Science and Technology;Reynold Cheng:The University of Hong Kong;Jiajun Shen:TCL Research;Nur Al Hasan Haldar:The University of Western Australia;Ben Kao:The University of Hong Kong;Xiao Yan:Southern University of Science and Technology;Nan Huo:the University of Hong Kong;Tian Li:TCL Research;Wai Kit Lam:TCL Research;Bo Tang:Southern University of Science and Technology

Session:

S2-G Network Embedding and Graph Recommendation

Research Paper

Automating DBSCAN via Reinforcement Learning

Ruitong Zhang:Beihang University;Hao Peng:Beihang University;Yingtong Dou:University of Illinois Chicago;Jia Wu:Macquarie University;Qingyun Sun:Beihang University;Yangyang Li:NERC-RPP, CAEIT;Jingyi Zhang:Beihang University;Philip S. Yu:University of Illinois Chicago

Session:

S10-D Clustering

Applied Paper

Availability Model and Query Fault Tolerance for Hybrid Distributed Database Systems

Krishna Kantikiran Pasupuleti, Boris Klots, Vijayakrishnan Nagarajan, Ananthakiran Kandukuri and Nipun Agarwal

Session:

S6-G Systems, Optimization & Security

Applied Paper

BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML

Spencer Bryson, Connor Henderson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta and Calisto Zuzarte

Session:

S7-F Systems, Optimization & Security

Applied Paper

BRIGHT - Graph Neural Networks in Real-time Fraud Detection

Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang and Jiawei Jiang

Session:

S10-F Advertising & E-commerce

Research Paper

Bandit Learning in Many-to-One Matching Markets

Zilong Wang:Shanghai Jiao Tong University;Liya Guo:Xiamen University;Junming Yin:Tepper School of Business, Carnegie Mellon University;Shuai Li:Shanghai Jiao Tong University

Session:

S8-B Advertisements

PhD Symposium

Best practices for top-N recommendation evaluation: Candidate set sampling and Statistical inference techniques

Ngozi Ihemelandu

Session:

S8-E

Research Paper

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability

Dongmin Hyun:Pohang University of Science and Technology;Chanyoung Park:Korea Advanced Institute of Science and Technology;Junsu Cho:Pohang University of Science and Technology;Hwanjo Yu:Pohang University of Science and Technology

Session:

S9-A Personalization and Preference

Applied Paper

Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kwai

Kunpeng Li, Guangcui Shao, Naijun Yang, Xiao Fang and Yang Song

Session:

S6-H Data Applications & Social Networks

Research Paper

Bootstrap-based Causal Structure Learning

Xianjie Guo:Hefei University of Technology;Yujie Wang:Hefei University of Technology;Xiaoling Huang:Hefei University of Technology;Shuai Yang:Hefei University of Technology;Kui Yu:Hefei University of Technology

Session:

S3-E Causal Learning

Applied Paper

Breast Cancer Early Detection with Time Series Classification

Haoren Zhu, Pengfei Zhao, Diklun Lee, Yiu-Pong Chan and Hong Kang

Session:

S9-G Finance & Healthcare

Applied Paper

Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting

Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik and Yizhou Sun

Session:

S9-F Emerging Applications

Industry

Building Natural Language Processing Applications with EasyNLP

Chengyu Wang, Minghui Qiu and Jun Huang

Session:

S2-H Novel applications

Industry

Building Next Best Action Engines for B2C and B2B Use Cases

Ilya Katsov

Session:

S2-H Novel applications

PhD Symposium

C-Cast: A Real-Time Forecasting Model for a Controlled Sequence

Ren Fujiwara

Session:

S7-E

Research Paper

CASA-Net: A Context-Aware Correlation convolutional Network for Scale-Adaptive Crack Detection

Xin Bi:Northeastern University;Shining Zhang:Northeastern University;Yu Zhang:Northeastern University;Lei Hu:Northeastern University;Wei Zhang:Northeastern University;Wenjing Niu:Northeastern University;Ye Yuan:Beijing Institute of Technology;Guoren Wang:Beijing Institute of Technology

Session:

S3-A Innovative Applications

Research Paper

CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements

Lili Zhao:University of Science and Technology of China;Linan Yue:University of Science and Technology of China;Yanqing An:University of Science and Technology of China;Yuren Zhang:University of Science and Technology of China;Jun Yu:IFLYTEK;Qi Liu:University of Science and Technology of China;Enhong Chen:University of Science and Technology of China

Session:

S10-A Reinforcement Learning / Legal Informatics

Research Paper

CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems

Yongxiang Tang:Alibaba Group;Wentao Bai:Alibaba Group;Guilin Li:Alibaba Group;Xialong Liu:Alibaba Group;Yu Zhang:Alibaba Group

Session:

S9-B Architecture and Training

Applied Paper

CTRL: Cooperative Traffic Tolling via Reinforcement Learning

Yiheng Wang, Hexi Jin and Guanjie Zheng

Session:

S3-H Reinforcement Learning

Research Paper

Can Adversarial Training benefit Trajectory Representation? An Investigation on Robustness for Trajectory Similarity Computation

Quanliang Jing:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Shuo Liu:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Xinxin Fan:Institute of Computing Technology, Chinese Academy of Sciences;Jingwei Li:Department of Computer Science and Engineering, University at Buffalo, SUNY;Di Yao:Institute of Computing Technology, Chinese Academy of Sciences;Baoli Wang:Microsoft Search Technology Center Asia;Jingping Bi:Institute of Computing Technology, Chinese Academy of Sciences

Session:

S5-B Adversarial Learning

Research Paper

Can We Have Both Fish and Bear's Paw? Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift

Yu Hong:Fudan University;Zhixu Li:Fudan University;Jianfeng Qu:Soochow University;Jiaqing Liang:Fudan University;Yi Luo:Fudan University;Miyu Zhang:Fudan University;Yanghua Xiao:Fudan University,Fudan-Aishu Cognitive Intelligence Joint Research Center;Wei Wang:Fudan University

Session:

S10-C Information Extraction

Research Paper

Cascade Variational Auto-Encoder for Hierarchical Disentanglement

Fudong Lin:University of Louisiana at Lafayette;Xu Yuan:University of Louisiana at Lafayette;Lu Peng:Tulane University;Nian-Feng Tzeng:University of Louisiana at Lafayette

Session:

S9-D Perturbations / Long-Tails

Research Paper

Cascade-based Echo Chamber Detection

Marco Minici:University of Pisa,ICAR-CNR;Federico Cinus:ISI Foundation,Sapienza University;Corrado Monti:CENTAI;Francesco Bonchi:CENTAI;Giuseppe Manco:ICAR-CNR

Session:

S6-B Sentiment, Opinon, Dynamics and Spread

Applied Paper

Cascaded Debiasing : Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions

Bhavya Ghai, Mihir Mishra and Klaus Mueller

Session:

S3-G Social Good & Fairness

Research Paper

Causal Learning Empowered OD Prediction for Urban Planning

Jinwei Zeng:Tsinghua University;Guozhen Zhang:Tsinghua University;Can Rong:Tsinghua University;Jingtao Ding:Tsinghua University;Jian Yuan:Tsinghua University;Yong Li:Tsinghua University

Session:

S3-E Causal Learning

PhD Symposium

Causal Relationship over Knowledge Graphs

Huang Hao

Session:

S8-E

Research Paper

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models

Chen Wu:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Ruqing Zhang:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Jiafeng Guo:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Wei Chen:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Yixing Fan:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Maarten De Rijke:University of Amsterdam;Xueqi Cheng:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences

Session:

S11-A Neural Ranking

Research Paper

Change Detection for Local Explainability in Evolving Data Streams

Johannes Haug:University of Tuebingen;Alexander Braun:University of Tuebingen;Stefan ZÃ¼rn:University of Tuebingen;Gjergji Kasneci:University of Tuebingen

Session:

S6-A Explainablility and Interpretability

Research Paper

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding

Bingning Wang:Tencent Inc.;Feiyang Lv:Tencent Inc;Ting Yao:Tencent Inc.;Yiming Yuan:Tencent Inc.;Jin Ma:Tencent Inc.;Yu Luo:Tencent Inc.;Haijin Liang:Tencent Inc.

Session:

S6-D Conversation and Dialogue

Research Paper

CoPatE: a novel Contrastive Learning Framework for Patent Embeddings

Huahang Li:South China Normal University;Shuangyin Li:South China Normal University;Yuncheng Jiang:South China Normal University;Gansen Zhao:South China Normal University

Session:

S8-C Contrastive Learning

Applied Paper

Cognitive Diagnosis focusing on Knowledge Components

Sheng Li, Quanlong Guan, Zhenyu He, Fang Xiao, Liangda Fang, Yizhou He and Weiqi Luo

Session:

S5-F Knowledge Graphs & Knowledge Representations

Research Paper

Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating

Tao Yu:Hikvision Research Institute;Yao Fu:Hikvision Research Institute;Linghui Hu:Hikvision Research Institute;Huizhao Wang:Hikvision Research Institute;Weihao Jiang:Hikvision Research Institute;Shiliang Pu:Hikvision Research Institute

Session:

S5-C Pre-training

Research Paper

Collaborative Image Understanding

Koby Bibas:Facebook;Oren Sar Shalom:Amazon;Dietmar Jannach:University of Klagenfurt

Session:

S3-D Collaborative Filtering

Research Paper

Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning

Zhiqi Ge:Jilin University;Yuanyuan Guan:Jilin University;Ximing Li:Jilin university;Bo Fu:Liaoning Normal University

Session:

S6-C Multi-label and Imbalance / CommonSense

Research Paper

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation

Yu Wang:University of Illinois at Chicago;Hengrui Zhang:University of Illinois at Chicago;Zhiwei Liu:Salesforce;Liangwei Yang:University of Illinois at Chicago;Philip S Yu:University of Illinois at Chicago

Session:

S7-B Contrastive Learning

Research Paper

Contrastive Cross-Domain Sequential Recommendation

Jiangxia Cao:Institute of Information Engineering, Chinese Academy of Sciences,School of Cyber Security, University of Chinese Academy of Sciences;Xin Cong:Institute of Information Engineering, Chinese Academy of Sciences,School of Cyber Security, University of Chinese Academy of Sciences;Jiawei Sheng:Institute of Information Engineering, Chinese Academy of Sciences,School of Cyber Security, University of Chinese Academy of Sciences;Tingwen Liu:Institute of Information Engineering, Chinese Academy of Sciences,School of Cyber Security, University of Chinese Academy of Sciences;Bin Wang:Xiaomi AI Lab, Xiaomi Inc.

Session:

S7-C Cross-Domain Recommendation

Research Paper

Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19

Zhenrui Yue:University of Illinois Urbana-Champaign;Huimin Zeng:University of Illinois Urbana-Champaign;Ziyi Kou:University of Illinois Urbana-Champaign;Lanyu Shang:University of Illinois Urbana-Champaign;Dong Wang:University of Illinois Urbana-Champaign

Session:

S3-B Contrastive Learning

Research Paper

Contrastive Knowledge Graph Error Detection

Qinggang Zhang:The Hong Kong Polytechnic University;Junnan Dong:The Hong Kong Polytechnic University;Keyu Duan:The Hong Kong Polytechnic University;Xiao Huang:The Hong Kong Polytechnic University;Yezi Liu:University of California Irvine;Linchuan Xu:The Hong Kong Polytechnic University

Session:

S7-B Contrastive Learning

Research Paper

Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval

Hongfa Wu:Harbin Institute of Technology;Lisai Zhang:Harbin Institute of Technology;Qingcai Chen:Harbin Institute of Technology;Yimeng Deng:Huawei Technologies;Joanna Siebert:Harbin Institute of Technology, Shenzhen;Yunpeng Han:Harbin Institute of Technology;Zhonghua Li:Huawei Technologies;Dejiang Kong:Huawei Technologies;Zhao Cao:Huawei Technologies

Session:

S1-E Multi-modal Data

Research Paper

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation

Hanwen Du:Soochow University;Hui Shi:Soochow University;Pengpeng Zhao:Soochow University;Deqing Wang:Beihang University;Victor S. Sheng:Texas Tech University;Yanchi Liu:Rutgers University;Guanfeng Liu:Macquarie University;Lei Zhao:Soochow University

Session:

S7-B Contrastive Learning

Research Paper

Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs

Endri Kacupaj:University of Bonn;Kuldeep Singh:Cerence GmbH and Zerotha Research;Maria Maleshkova:University of Siegen;Jens Lehmann:University of Bonn

Session:

S6-D Conversation and Dialogue

Research Paper

Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee

Haoqi Zhang:Shanghai Jiao Tong University;Junqi Jin:Alibaba Group;Zhenzhe Zheng:Shanghai Jiao Tong University;Fan Wu:Shanghai Jiao Tong University;Haiyang Xu:Alibaba Group;Jian Xu:Alibaba Group

Session:

S8-B Advertisements

Research Paper

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks

Jiangui Chen:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Ruqing Zhang:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Jiafeng Guo:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Yiqun Liu:BNRist, DCST, Tsinghua University;Yixing Fan:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Xueqi Cheng:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences

Session:

S5-C Pre-training

Research Paper

Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs

Phillip Howard:Intel Labs;Arden Ma:Intel Labs;Vasudev Lal:Intel Labs;Ana Paula Simoes:Intel Labs;Daniel Korat:Intel Labs;Oren Pereg:Intel Labs;Moshe Wasserblat:Intel Labs;Gadi Singer:Intel Labs

Session:

S7-C Cross-Domain Recommendation

Applied Paper

Cross-Domain Product Search with Knowledge Graph

Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu and Chenliang Li

Session:

S5-F Knowledge Graphs & Knowledge Representations

Research Paper

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees

Jiaqian Ren:Institute of Information Engineering, Chinese Academy of Sciences,School of Cyber Security, University of Chinese Academy of Sciences;Lei Jiang:Institute of Information Engineering, Chinese Academy of Sciences;Hao Peng:Beihang University;Lingjuan Lyu:Sony AI;Zhiwei Liu:salesforce;Chaochao Chen:Zhejiang University;Jia Wu:Macquarie University;Xu Bai:Institute of Information Engineering, Chinese Academy of Sciences;Philip S. Yu:University of Illinois Chicago

Session:

S2-A Privacy and Security

Research Paper

Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies

Yinghua Zhang:Hong Kong University of Science and Technology;Yangqiu Song:Hong Kong University of Science and Technology;Kun Bai:IEEE Senior Member;Qiang Yang:Hong Kong University of Science and Technology,Webank

Session:

S7-C Cross-Domain Recommendation

Research Paper

Cross-domain Recommendation via Adversarial Adaptation

Hongzu Su:Tencent;Yifei Zhang:Tencent;Xuejiao Yang:Tencent;Hua Hua:Tencent;Shuangyang Wang:Tencent;Jingjing Li:Tencent

Session:

S7-C Cross-Domain Recommendation

Research Paper

Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?

Mohammed Saeed:Eurecom;Nicolas Traub:University of Queensland;Maelle Nicolas:Eurecom;Gianluca Demartini:The University of Queensland;Paolo Papotti:Eurecom

Session:

S11-F Crowdsourcing

Research Paper

DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning

Kangzheng Liu:National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology;Feng Zhao:National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology;Hongxu Chen:Data Science and Machine Intelligence Lab, University of Technology Sydney;Yicong Li:Data Science and Machine Intelligence Lab, University of Technology Sydney;Guandong Xu:Data Science and Machine Intelligence Lab, University of Technology Sydney;Hai Jin:National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology

Session:

S9-C Temporal Data

Research Paper

DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model

Changsheng Ma:King Abdullah University of Science and Technology;Qiang Yang:King Abdullah University of Science and Technology;Xin Gao:King Abdullah University of Science and Technology;Xiangliang Zhang:University of Notre Dame

Session:

S4-A Molecular Graphs & Chemsitry

Research Paper

DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server

Congcong Fu:Xidian University;Hui Li:Xidian University;Jian Lou:Xidian University;Jiangtao Cui:Xidian University

Session:

S2-A Privacy and Security

Applied Paper

Debiased Balanced Interleaving at Amazon Search

Nan Bi, Pablo Castells, Daniel Gilbert, Slava Galperin, Patrick Tardif and Sachin Ahuja

Session:

S9-H Advertising & E-commerce

Research Paper

Decoupled Hyperbolic Graph Attention Network for Modeling Substitutable and Complementary Item Relationships

Zhiheng Zhou:JD.com;Tao Wang:JD.com;Linfang Hou:JD.com;Xinyuan Zhou:Ant Group;Mian Ma:JD.com;Zhuoye Ding:JD.com

Session:

S5-D Graph Learning

Research Paper

Deep Extreme Mixture Model for Time Series Forecasting

Abilasha S:Indian Institute of Technology, Palakkad;Sahely Bhadra:Indian Institute of Technology, Palakkad;Ahmed Zaheer Dadarkar:Indian Institute of Technology, Palakkad;Deepak P:Queen's University Belfast

Session:

S2-D Time-Series Data

Research Paper

DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities

Shuo Sun:Nanyang Technological University;Wanqi Xue:Nanyang Technological University;Rundong Wang:Nanyang Technological University;Xu He:Huawei Noah Ark Lab;Junlei Zhu:Webank;Jian Li:Tsinghua University;Bo An:Nanyang Technological University

Session:

S10-A Reinforcement Learning / Legal Informatics

Research Paper

DeepVT: Deep View-Temporal Interaction Network for News Recommendation

Xuanyu Zhang:Du Xiaoman Financial;Qing Yang:Du Xiaoman Financial;Dongliang Xu:Du Xiaoman Financial

Session:

S9-C Temporal Data

Research Paper

Dense Retrieval with Entity Views

Hai Dang Tran:Max Planck Institute for Informatics;Andrew Yates:University of Amsterdam

Session:

S11-C Search and Text

Applied Paper

Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act

Nic Rothbacher, Ben Chugg, Alex Feng, Xiaoqi Long and Daniel Ho

Session:

S3-F Maps & Satellite Imagery Applications

Research Paper

Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models

Guglielmo Faggioli:University of Padova;Nicola Ferro:University of Padova;Norbert Fuhr:University of Duisburg-Essen

Session:

S2-B Search and Evaluation

Research Paper

Discovering Fine-Grained Semantics in Knowledge Graph Relations

Nitisha Jain:Hasso Plattner Institute;Ralf Krestel:Leibniz Information Centre for Economics

Session:

S4-C Knowledge Graphs and Entities

Research Paper

Disentangled Representation for Long-tail Senses of Word Sense Disambiguation

Junwei Zhang:Tianjin University;Ruifang He:Tianjin University;Fengyu Guo:Tianjin Normal University;Jinsong Ma:Tianjin University;Mengnan Xiao:Tianjin University

Session:

S9-D Perturbations / Long-Tails

Research Paper

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks

Hengyu Zhang:Tsinghua University;Enming Yuan:Tsinghua University;Wei Guo:Huawei Noah's Ark Lab;Zhicheng He:Huawei Noah's Ark Lab;Jiarui Qin:Shanghai Jiao Tong University;Huifeng Guo:Huawei Noah's Ark Lab;Bo Chen:Huawei Noah's Ark Lab;Xiu Li:Tsinghua University;Ruiming Tang:Huawei Noah's Ark Lab

Session:

S2-C Sequential Recommendation

Research Paper

Dismantling Complex Networks by a Neural Model Trained from Tiny Networks

Jiazheng Zhang:Huazhong University of Science and Technology (HUST);Bang Wang:Huazhong University of Science and Technology (HUST)

Session:

S9-B Architecture and Training

Research Paper

Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks

Yuchen Yan:University of Illinois at Urbana-Champaign;Qinghai Zhou:University of Illinois at Urbana-Champaign;Jinning Li:University of Illinois at Urbana-Champaign;Tarek Abdelzaher:University of Illinois at Urbana-Champaign;Hanghang Tong:University of Illinois at Urbana-Champaign

Session:

S9-B Architecture and Training

Research Paper

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning

Hao Jiang:Academy of Military Science;Yuntao Liu:Academy of Military Sciences;Shengze Li:Academy of Military Sciences;Jieyuan Zhang:Academy of Military Science;Xinhai Xu:Academy of Military Sciences;Donghong Liu:Academy of Military Sciences

Session:

S3-C Reinforcement Learning

Research Paper

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities

Yihong Tang:University of Hong Kong;Ao Qu:Massachusetts Institute of Technology;Andy H.F. Chow:City University of Hong Kong;William H.K. Lam:The Hong Kong Polytechnic University;S.C. Wong:University of Hong Kong;Wei Ma:The Hong Kong Polytechnic University,The Hong Kong Polytechnic University

Session:

S5-B Adversarial Learning

Research Paper

Domain-Agnostic Constrastive Representations for Learning from Label Proportions

Jay Nandy:Google Research;Rishi Saket:Google Research;Prateek Jain:Google Research;Jatin Chauhan:Google Research;Balaraman Ravindran:Robert Bosch Centre for Data Science and AI, Indian Institute of Technology Madras;Aravindan Raghuveer:Google Research

Session:

S8-D Click-through Rate Prediction

Research Paper

Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant

Abhisek Tiwari:Indian Institute of Technology, Patna;Manisimha Manthena:Manipal Institute of Technology, Manipal;Sriparna Saha:Indian Institute of Technology, Patna;Pushpak Bhattacharyya:Indian Institute of Technology, Bombay;Minakshi Dhar:All India Institute of Medical Science Rishikesh;Sarbajeet Tiwari:Midnapore Homoeopathic Medical College and Hospital

Session:

S10-c: Information Extraction

Research Paper

Drive Less but Finish More: Food Delivery based on Multi-Level Workers in Spatial Crowdsourcing

Xiaojia Xu:Soochow University;An Liu:Soochow University;Guanfeng Liu:Macquarie University;Zhixu Li:Fudan University;Lei Zhao:Soochow University

Session:

S11-F Crowdsourcing

Applied Paper

DuARUS: Automatic Geo-object Change Detection with Street View Imagery for Updating Road Database at Baidu Maps

Deguo Xia, Jizhou Huang, Jianzhong Yang, Xiyan Liu and Haifeng Wang

Session:

S3-F Maps & Satellite Imagery Applications

Applied Paper

DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps

Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan and Haifeng Wang

Session:

S3-F Maps & Satellite Imagery Applications

Applied Paper

DuIVRS: A Telephonic IVR System for Large-Scale POI Attribute Acquisition at Baidu Maps

Jizhou Huang, Haifeng Wang and Shaolei Wang

Session:

S3-F Maps & Satellite Imagery Applications

Applied Paper

DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps

Miao Fan, Jizhou Huang and Haifeng Wang

Session:

S3-F Maps & Satellite Imagery Applications

Applied Paper

DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps

Deguo Xia, Xiyan Liu, Wei Zhang, Hui Zhao, Chengzhou Li, Weiming Zhang, Jizhou Huang and Haifeng Wang

Session:

S3-F Maps & Satellite Imagery Applications

Research Paper

Dual-Task Learning for Multi-Behavior Sequential Recommendation

Jinwei Luo:Shenzhen University;Mingkai He:Shenzhen University;Xiaolin Lin:Shenzhen University;Weike Pan:Shenzhen University;Zhong Ming:Shenzhen University

Session:

S2-C Sequential Recommendation

Research Paper

Dually Enhanced Propensity Score Estimation in Sequential Recommendation

Chen Xu:Renmin University of China;Jun Xu:Renmin University of China,Beijing Key Laboratory of Big Data Management and Analysis;Xu Chen:Renmin University of China;Zhenghua Dong:Huawei Noahâ€™s Ark Lab;Ji-Rong Wen:Renmin University of China

Session:

S2-C Sequential Recommendation

Research Paper

Dynamic Causal Collaborative Filtering

Shuyuan Xu:Rutgers University;Juntao Tan:Rutgers University;Zuohui Fu:Rutgers University;Jianchao Ji:Rutgers University;Shelby Heinecke:Salesforce Research;Yongfeng Zhang:Rutgers University

Session:

S3-E Causal Learning

Research Paper

Dynamic Hypergraph Learning for Collaborative Filtering

Chunyu Wei:Alibaba Group;Jian Liang:Alibaba Group;Bing Bai:Tencent;Di Liu:Alibaba Group

Session:

S3-D Collaborative Filtering

Research Paper

Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization

Zhuoming Li:Southeast University;Darong Lai:Southeast University

Session:

S2-G Network Embedding and Graph Recommendation

Research Paper

Dynamic Transfer Gaussian Process Regression

Pengfei Wei:AI Lab Speech & Audio Bytedance;Xinghua Qu:AI Lab Speech & Audio Bytedance;Wen Song:Institute of Marine Science and Technology, Shandong University;Zejun Ma:AI Lab Speech & Audio Bytedance

Session:

S1-B Transfer Learning

Applied Paper

E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling

Javier Albert and Dmitri Goldenberg

Session:

S6-F Advertising & E-commerce

Research Paper

Effects of Stubbornness on Opinion Dynamics

Wanyue Xu:Fudan University;Liwang Zhu:Fudan University;Jiale Guan:Fudan University;Zuobai Zhang:Fudan University;Zhongzhi Zhang:Fudan University

Session:

S6-B Sentiment, Opinon, Dynamics and Spread

Applied Paper

Efficient Compression Method for Roadside LiDAR Data

Md Parvez Mollah, Biplob Debnath, Murugan Sankaradas, Srimat Chakradhar and Abdullah Mueen

Session:

S6-H Data Applications & Social Networks

Research Paper

Efficient Learning with Pseudo Labels for Query Cost Estimation

Shuncheng Liu:University of Electronic Science and Technology of China;Xu Chen:University of Electronic Science and Technology of China;Yan Zhao:Aalborg University;Jin Chen:University of Electronic Science and Technology of China;Rui Zhou:Huawei Technologies Co. Ltd.;Kai Zheng:University of Electronic Science and Technology of China

Session:

S8-A Querying and Hashing

Research Paper

Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms

Carl Johnell:Chalmers University of Technology;Morteza Haghir Chehreghani:Chalmers University of Technology

Session:

S10-D Clustering

Applied Paper

Efficient SPARQL Autocompletion via SPARQL

Hannah Bast, Johannes Kalmbach, Theresa Klumpp, Florian Kramer and Niklas Schnelle

Session:

S5-F Knowledge Graphs & Knowledge Representations

Research Paper

Efficient Second-Order Optimization for Neural Networks with Kernel Machines

Yawen Chen:South China University of Technology;Yile Chen:South China University of Technology;Zeyi Wen:Hong Kong University of Science and Technology (Guangzhou),Hong Kong University of Science and Technology;Jian Chen:South China University of Technology;Jin Huang:South China Normal University

Session:

S4-D Scalability and Efficiency

Research Paper

Efficient Trajectory Similarity Computation with Contrastive Learning

Liwei Deng:University of Electronic Science and Technology of China;Yan Zhao:Aalborg University;Zidan Fu:University of Electronic Science and Technology of China;Hao Sun:Peking University;Shuncheng Liu:University of Electronic Science and Technology of China;Kai Zheng:?University of Electronic Science and Technology of China?

Session:

S1-D Trajectories

Research Paper

End-to-end Modularity-based Community Co-partition in Bipartite Networks

Cangqi Zhou:Nanjing University of Science and Technology;Yuxiang Wang:Nanjing University of Science and Technology;Jing Zhang:Nanjing University of Science and Technology;Jiqiong Jiang:Zhejiang Lab;Dianming Hu:Sensedeal.ai

Session:

S5-D Graph Learning

Research Paper

Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search

Haonan Chen:Renmin University of China;Zhicheng Dou:Renmin University of China;Yutao Zhu:University of Montreal;Zhao Cao:Huawei Poisson Lab;Xiaohua Cheng:Huawei Poisson Lab;Ji-Rong Wen:Key Laboratory of Data Engineering and Knowledge Engineering, MOE

Session:

S11-A Neural Ranking

Applied Paper

Ensure A/B Test Quality at Scale with Automated Randomization Validation and Sample Ratio Mismatch Detection

Keyu Nie, Zezhong Zhang, Bingquan Xu and Tao Yuan

Session:

S7-F Systems, Optimization & Security

Research Paper

Estimating Causal Effects on Networked Observational Data via Representation Learning

Song Jiang:University of California, Los Angeles;Yizhou Sun:University of California, Los Angeles

Session:

S3-E Causal Learning

Research Paper

Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models

Jingtao Zhan:Tsinghua University;Xiaohui Xie:Tsinghua University;Jiaxin Mao:Renmin University of China;Yiqun Liu:Tsinghua University;Jiafeng Guo:Chinese Academy of Science;Min Zhang:Tsinghua University;Shaoping Ma:Tsinghua University

Session:

S11-A Neural Ranking

Research Paper

Evidence-aware Document-level Relation Extraction

Tianyu Xu:Soochow University;Hua Wen:The University of Queensland;Jianfeng Qu:Soochow University;Zhixu Li:Fudan University;Jiajie Xu:Soochow University;An Liu:Soochow University;Lei Zhao:Soochow University

Session:

S10-C Information Extraction

Research Paper

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation

Jiayan Guo:Peking University;Peiyan Zhang:Hong Kong University of Science and Technology;Chaozhuo Li:Microsoft Research Asia;Xing Xie:Microsoft Research Asia;Yan Zhang:Peking University;Sunghun Kim:Hong Kong University of Science and Technology

Session:

S1-G Personalization

Industry

Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch

Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu and Evgeny Kharlamov

Session:

S2-H Novel applications

Research Paper

Explainable Link Prediction in Knowledge Hypergraphs

Zirui Chen:Tianjin University;Xin Wang:Tianjin University;Chenxu Wang:Tianjin University;Jianxin Li:Deakin University

Session:

S4-B Link Prediction

Research Paper

Explanation Guided Contrastive Learning for Sequential Recommendation

Lei Wang:Singapore Management University;Ee-Peng Lim:Singapore Management University;Zhiwei Liu:Salesforce;Tianxiang Zhao:Penn State University

Session:

S8-C Contrastive Learning

Research Paper

Extracting drug-drug interactions from biomedical texts using knowledge graph embeddings and multi-focal loss

Xin Jin:Northwest University;Xia Sun:Northwest University;Jiacheng Chen:Northwest University;Richard Sutcliffe:University of Essex

Session:

S1-A Biomedical and Drug Informatics

Research Paper

Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer

Yuanjie Lyu:University of Science and Technology of China;Chen Zhu:Alibaba Group;Tong Xu:University of Science and Technology of China;Zikai Yin:University of Science and Technology of China;Enhong Chen:University of Science and Technology of China

Session:

S10-B Fake News, Facts and Views

Research Paper

FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction

Meihan Wu:National University of Defense Technology;Li Li:University of Macau;Tao Chang:National University of Defense Technology;Eric Rigall:Ocean University of China;Xiaodong Wang:National University of Defense Technology;Cheng-Zhong Xu:University of Macau

Session:

S1-C Federated Learning

Research Paper

FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning

Sangmook Kim:Korea Advanced Institute of Science and Technology;Wonyoung Shin:Naver Shopping;Soohyuk Jang:Pohang University of Science and Technology;Hwanjun Song:NAVER AI LAB;Se-Young Yun:Korea Advanced Institute of Science and Technology

Session:

S1-C Federated Learning

Research Paper

Federated K-Private Set Intersection

Ahmed Roushdy Elkordy:University of Southern California;Yahya Ezzeldin:University of Southern California;Salman Avestimehr:University of Southern California

Session:

S1-C Federated Learning

Research Paper

Few-Shot Relational Triple Extraction with Perspective Transfer Network

Junbo Fei:Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology;Weixin Zeng:Laboratory for Big Data and Decision, National University of Defense Technology;Xiang Zhao:Laboratory for Big Data and Decision, National University of Defense Technology;Xuanyi Li:Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology;Weidong Xiao:Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology

Session:

S7-D Zero-shot and Few-shot Learning

Industry

Fifty Shades of Pink: Understanding Color in e-commerce using Knowledge Graphs

Lizzie Liang, Sneha Kamath, Petar Ristoski, Qunzhi Zhou and Zhe Wu

Session:

S1-H E-commerce and Search

Research Paper

Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification

Yoonhyuk Choi:Seoul National University;Jiho Choi:Seoul National University;Taewook Ko:Seoul National University;Hyungho Byun:Seoul National University;Chongkwon Kim:Korea Institute of Energy Technology

Session:

S11-B Subgraphs and Substructure

Research Paper

Flow-based Perturbation for Cause-effect Inference

Shaogang Ren:Baidu Research, USA;Ping Li:Baidu

Session:

S3-E Causal Learning

Applied Paper

Fooling MOSS Detection with Pretrained Language Models

Stella Biderman and Edward Raff

Session:

S3-G Social Good & Fairness

Research Paper

Frequent Itemset Mining with Local Differential Privacy

Junhui Li:Jinan University;Wensheng Gan:Jinan University;Yijie Gui:Jinan University;Yongdong Wu:Jinan University;Philip S. Yu:University of Illinois Chicago

Session:

S2-A Privacy and Security

Research Paper

From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking

Yutao Zhu:University of Montreal;Jian-Yun Nie:University de Montreal;Yixuan Su:University of Cambridge;Haonan Chen:Renmin University of China;Xinyu Zhang:Huawei;Zhicheng Dou:Renmin University of China

Session:

S11-A Neural Ranking

Research Paper

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection

Jiaqian Ren:Institute of Information Engineering, Chinese Academy of Sciences,School of Cyber Security, University of Chinese Academy of Sciences;Lei Jiang:Institute of Information Engineering, Chinese Academy of Sciences;Hao Peng:Beihang University;Yuwei Cao:University of Illinois Chicago;Jia Wu:Macquarie University;Philip S. Yu:UIC;Lifang He:Lehigh University

Session:

S1-B Transfer Learning

Industry

From Product Searches to Conversational Agents for E-Commerce

Giuseppe Di Fabbrizio

Session:

S1-H E-commerce and Search

Research Paper

GBERT: Pre-training User representations for Ephemeral Group Recommendation

Song Zhang:Institute of Automation, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Nan Zheng:Institute of Automation, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Danli Wang:Institute of Automation, Chinese Academy of Sciences,University of Chinese Academy of Sciences

Session:

S5-C Pre-training

Research Paper

GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases

Runjin Chen:Shanghai Jiao Tong University;Tong Li:Shanghai Jiao Tong University;Yanyan Shen:Shanghai Jiao Tong University;Luyu Qiu:Huawei Research Hong Kong;Kaidi Li:Huawei Technologies;Caleb Chen Cao:Huawei Research Hong Kong

Session:

S3-B Contrastive Learning

Research Paper

GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks

Ping Li:LinkedIn Corporation;Weijie Zhao:Rochester Institute of Technology

Session:

S4-D Scalability and Efficiency

Research Paper

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning

Xin Dong:Ant Group;Ruize Wu:Ant Group;Chao Xiong:Ant Group;Hai Li:Ant Group;Lei Cheng:Ant Group;Yong He:Ant Group;Shiyou Qian:Shanghai Jiao Tong University;Jian Cao:Shanghai Jiao Tong University;Linjian Mo:Ant Group

Session:

S1-B Transfer Learning

Applied Paper

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction

Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu and Shouling Ji

Session:

S6-F Advertising & E-commerce

Research Paper

GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training

Benedict Yeoh:Klass Engineering & Solutions;Huijuan Wang:Klass Engineering & Solutions

Session:

S5-C Pre-training

Research Paper

GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation

Yuexin Wu:University of Memphis;Xiaolei Huang:University of Memphis

Session:

S6-C Multi-label and Imbalance / CommonSense

Applied Paper

Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce

Bo Chen, Jiayi Liu, Mieradilijiang Maimaiti, Xing Gao and Ji Zhang

Session:

S1-F Advertising & E-commerce

Research Paper

Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation

Manal A. Alshehri:King Abdullah University of Science and Technology;Xiangliang Zhang:University of Notre Dame,King Abdullah University of Science and Technology

Session:

S7-D Zero-shot and Few-shot Learning

Research Paper

Generative-Free Urban Flow Imputation

Senzhang Wang:Central South University;Jiyue Li:Nanjing University of Aeronautics and Astronautics;Hao Miao:Aalborg University;Junbo Zhang:JD Intelligent Cities Research,JD iCity, JD Technology;Junxing Zhu:National University of Defense Technology;Jianxin Wang:Central South University

Session:

S5-A Traffic Data

Industry

Geographical Address Models in the Indian e-Commerce

Ravindra Babu Tallamraju

Session:

S1-H E-commerce and Search

Research Paper

GraTO: Graph Neural Network Framework Tackling Over-smoothing with Nerual Architecture Search

Xinshun Feng:Xi'an Jiaotong University;Herun Wan:Xi'an Jiaotong University;Shangbin Feng:University of Washington;Hongrui Wang:Xi'an Jiaotong University;Qinghua Zheng:Xi'an Jiaotong University;Jun Zhou:Ant Group;Minnan Luo:Xi'an Jiaotong University

Session:

S9-B Architecture and Training

Research Paper

Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction

Huinan Sun:Meituan;Guangliang Yu:Meituan;Pengye Zhang:Meituan;Bo Zhang:Meituan;Xingxing Wang:Meituan;Dong Wang:Meituan

Session:

S8-D Click-through Rate Prediction

Applied Paper

Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction

Roy Benjamin, Uriel Singer and Kira Radinsky

Session:

S9-G Finance & Healthcare

Applied Paper

Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce

Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu and Bo Zheng

Session:

S1-F Advertising & E-commerce

Research Paper

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation

Xinhang Li:Tsinghua University;Zhaopeng Qiu:Tencent;Xiangyu Zhao:City University of Hong Kong;Zihao Wang:Hong Kong University of Science and Technology;Yong Zhang:Tsinghua University;Chunxiao Xing:Tsinghua University;Xian Wu:Tencent

Session:

S1-B Transfer Learning

Research Paper

Gromov-Wasserstein Multi-modal Alignment and Clustering

Fengjiao Gong:Renmin University of China;Yuzhou Nie:Renmin University of China;Hongteng Xu:Renmin University of China

Session:

S10-D Clustering

Applied Paper

Guided Text-based Item Exploration

Behrooz Omidvar-Tehrani, Aurelien Personnaz and Sihem Amer-Yahia

Session:

S10-F Advertising & E-commerce

Research Paper

Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together

Qianzhen Zhang:National University of Defense Technology;Deke Guo:National University of Defense Technology;Xiang Zhao:National University of Defense Technology;Lailong Luo:National University of Defense Technology

Session:

S11-B Subgraphs and Substructure

Research Paper

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models

Yinqiong Cai:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Jiafeng Guo:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Yixing Fan:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Qingyao Ai:University of Utah;Ruqing Zhang:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Xueqi Cheng:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences

Session:

S11-A Neural Ranking

Research Paper

Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning

Honglu Zhou:Rutgers University;Advith Chegu:Rutgers University;Samuel S. Sohn:Rutgers University;Zuohui Fu:Rutgers University;Gerard De Melo:HPI / University of Potsdam;Mubbasir Kapadia:Rutgers University

Session:

S4-B Link Prediction

Research Paper

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic

Shuncheng Liu:University of Electronic Science and Technology of China;Xu Chen:University of Electronic Science and Technology of China;Ziniu Wu:Massachusetts Institute of Technology;Liwei Deng:University of Electronic Science and Technology of China;Han Su:University of Electronic Science and Technology of China;Kai Zheng:University of Electronic Science and Technology of China

Session:

S1-D Trajectories

Research Paper

Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction

Mei Li:College of Computer Science, Nankai University;Xiangrui Cai:College of Computer Science, Nankai University;Linyu Li:College of Computer Science, Nankai University;Sihan Xu:College of Cyber Science, Nankai University;Hua Ji:College of Computer Science, Nankai University

Session:

S1-A Biomedical and Drug Informatics

Applied Paper

Hierarchical Capsule Prediction Network for Marketing Campaigns Effect

Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang and Sheng Li

Session:

S9-H Advertising & E-commerce

Research Paper

Hierarchical Conversational Preference Elicitation with Bandit Feedback

Jinhang Zuo:Carnegie Mellon University;Songwen Hu:Shanghai Jiao Tong University;Tong Yu:Adobe Research;Shuai Li:Shanghai Jiao Tong University;Handong Zhao:Adobe Research;Carlee Joe-Wong:Carnegie Mellon University

Session:

S9-A Personalization and Preference

Research Paper

Hierarchical Item Inconsistency Signal learning for Sequence Denoising in Sequential Recommendation

Chi Zhang:Harbin Engineering University;Yantong Du:Harbin Engineering University;Xiangyu Zhao:City University of Hong Kong;Qilong Han:Harbin Engineering University;Rui Chen:Harbin Engineering University;Li Li:University of Delaware

Session:

S2-C Sequential Recommendation

Applied Paper

Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly

Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim and Joongheon Kim

Session:

S1-F Advertising & E-commerce

Research Paper

Hierarchical Representation for Multi-view Clustering: from Intra-sample to Intra-view to Inter-view

Jing-Hua Yang:Macau University of Science and Technology;Chuan Chen:Sun Yat-Sen University;Hong-Ning Dai:Hong Kong Baptist University;Meng Ding:Southwest Jiaotong University;Le-Le Fu:Sun Yat-Sen University;Zibin Zheng:Sun Yat-Sen University

Session:

S10-D Clustering

Research Paper

Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting

Yihong Ma:University of Notre Dame;Patrick Gerard:University of Notre Dame;Yijun Tian:University of Notre Dame;Zhichun Guo:University of Notre Dame;Nitesh V. Chawla:University of Notre Dame

Session:

S9-C Temporal Data

Applied Paper

Hierarchically Constrained Adaptive Ad Exposure in Feeds

Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu and Bo Zheng

Session:

S6-F Advertising & E-commerce

Research Paper

Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search

Qijie Shen:Alibaba Group;Hong Wen:Alibaba Group;Jing Zhang:The University of Sydney;Qi Rao:Alibaba Group

Session:

S8-D Click-through Rate Prediction

Research Paper

High-quality Task Division for Large-scale Entity Alignment

Bing Liu:The University of Queensland;Wen Hua:The University of Queensland;Guido Zuccon:The University of Queensland;Genghong Zhao:Neusoft Research of Intelligent Healthcare Technology, Co. Ltd.;Xia Zhang:Neusoft Corporation

Session:

S4-C Knowledge Graphs and Entities

Research Paper

Higher-order Clustering and Pooling for Graph Neural Networks

Alexandre Duval:UniversitÃ© Paris-Saclay, CentraleSupÃ©lec, Inria;Fragkiskos Malliaros:UniversitÃ© Paris-Saclay, CentraleSupÃ©lec, Inria

Session:

S10-D Clustering

Research Paper

HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations

Sichun Luo:City University of Hong Kong,City University of Hong Kong Shenzhen Research Institute;Xinyi Zhang:Capital University of Economics and Business;Yuanzhang Xiao:University of Hawaii at Manoa;Linqi Song:City University of Hong Kong,City University of Hong Kong Shenzhen Research Institute

Session:

S2-G Network Embedding and Graph Recommendation

Research Paper

I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning

Yang Liu:Nanjing University;Zequn Sun:Nanjing University;Guangyao Li:Nanjing University;Wei Hu:Nanjing University,Nanjing University

Session:

S4-B Link Prediction

Research Paper

ITSM-GCN: Informative Training Sample Mining for Graph Convolution Network-based Collaborative Filtering

Kaiqi Gong:Beihang University;Xiao Song:Beihang University;Senzhang Wang:Central South University;Songsong Liu:Beihang University;Yong Li:Beihang University

Session:

S3-D Collaborative Filtering

PhD Symposium

Identify Relevant Entities Through Text Understanding

Pooja Oza

Session:

S6-E

Research Paper

Imbalanced Graph Classification via Graph-of-Graph Neural Networks

Yu Wang:Vanderbilt university;Yuying Zhao:Vanderbilt university;Neil Shah:Snap Research;Tyler Derr:Vanderbilt university

Session:

S6-C Multi-label and Imbalance / CommonSense

Research Paper

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations

Yuanying Cai:Tsinghua University;Chuheng Zhang:Tsinghua University;Wei Shen:Baidu Inc.;Xiaonan He:Baidu Inc.;Xuyun Zhang:Macquarie University;Longbo Huang:Tsinghua University

Session:

S3-C Reinforcement Learning

Research Paper

Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

Ding Zou:Huazhong University of Science and Technology;Wei Wei:Huazhong University of Science and Techonology;Ziyang Wang:Huazhong University of Science and Technology;Xian-Ling Mao:Beijing Institute of Technology;Feida Zhu:Singapore Management University;Rui Fang:Ping An Property & Casualty Insurance company of China, Ltd;Dangyang Chen:Ping An Property & Casualty Insurance company of China, Ltd

Session:

S8-C Contrastive Learning

Research Paper

Improving Personality Consistency in Conversation by Persona Extending

Yifan Liu:Huazhong University of Science and Technology;Wei Wei:Huazhong University of Science and Technology;Jiayi Liu:Alibaba group;Xian-Ling Mao:Beijing Institute of Technology;Rui Fang:Ping An Property & Casualty Insurance company of China, Ltd;Dangyang Chen:Ping An Property & Casualty Insurance company of China, Ltd

Session:

S9-A Personalization and Preference

Applied Paper

Improving Text-based Similar Product Recommendation for Dynamic Product Advertising at Yahoo

Xiao Bai, Lei Duan, Richard Tang, Gaurav Batra and Ritesh Agrawal

Session:

S2-F Recommender Systems

Applied Paper

Incorporating Fairness in Large-scale Evacuation Planning

Kazi Ashik Islam, Da Qi Chen, Madhav Marathe, Henning Mortveit, Samarth Swarup and Anil Kumar Vullikanti

Session:

S3-G Social Good & Fairness

Research Paper

Incorporating Peer Reviews and Rebuttal Counter-Arguments for Meta-Review Generation

Po-Cheng Wu:National Taiwan University;An-Zi Yen:National Yang Ming Chiao Tung University;Hen-Hsen Huang:Institute of Information Science, Academia Sinica;Hsin-Hsi Chen:National Taiwan University

Session:

S10-B Fake News, Facts and Views

Research Paper

Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities

Yuanning Cui:Nanjing University;Yuxin Wang:Nanjing University;Zequn Sun:Nanjing University;Wenqiang Liu:Tencent Inc;Yiqiao Jiang:Tencent Inc;Kexin Han:Tencent Inc;Wei Hu:Nanjing University,Nanjing University

Session:

S4-C Knowledge Graphs and Entities

Research Paper

Inferring Sensitive Attributes from Model Explanations

Antoine Boutet:INSA Lyon, Inria, Univ Lyon;Vasisht Duddu:University of Waterloo

Session:

S7-A Algorithmic Biases

Applied Paper

IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System

Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong and Ruiming Tang

Session:

S10-F Advertising & E-commerce

Industry

Intent Disambiguation for Task-oriented Dialogue Systems

Andrea Alfieri, Ralf Wolter and Seyyed Hadi Hashemi

Session:

S2-H Novel applications

Research Paper

Interactive Contrastive Learning for Self-Supervised Entity Alignment

Kaisheng Zeng:Tsinghua University;Zhenhao Dong:Beijing University of Chemical Technology;Lei Hou:Tsinghua University;Yixin Cao:Singapore Management University;Minghao Hu:Information Research Center of Military Science;Jifan Yu:Tsinghua University;Xin Lv:Tsinghua University;Lei Cao:Tsinghua University;Xin Wang:Tsinghua University;Haozhuang Liu:Tsinghua University;Yi Huang:China Mobile Research Institute;Junlan Feng:China Mobile Research Institute;Jing Wan:Beijing University of Chemical Technology;Juanzi Li:Tsinghua University;Ling Feng:Tsinghua University

Session:

S4-C Knowledge Graphs and Entities

Research Paper

Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model

Shuo Wang:Hebei University;Yifei Zhang:Hebei University;Bochen Lin:Hebei University;Boxun Li:Hebei University

Session:

S6-B Sentiment, Opinon, Dynamics and Spread

Research Paper

Intersection of Parallels as an Early Stopping Criterion

Ali Vardasbi:University of Amsterdam;Maarten De Rijke:University of Amsterdam;Mostafa Dehghani:Google Research

Session:

S9-B Architecture and Training

Research Paper

Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction

Sebastian HofstÃ¤tter:TU Wien;Omar Khattab:Stanford University;Sophia Althammer:TU Wien;Mete Sertkan:TU Wien;Allan Hanbury:TU Wien

Session:

S2-B Search and Evaluation

Research Paper

Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer

Fankai Zeng:Donghua University;Mingbo Zhao:Donghua University;Zhao Zhang:Hefei University of Technology;Shanchuan Gao:Donghua University;Lu Cheng:Donghua University

Session:

S3-A Innovative Applications

Research Paper

Jointly Contrastive Representation Learning on Road Network and Trajectory

Zhenyu Mao:SenseTime Research;Ziyue Li:University of Cologne,EWI gGmbH;Dedong Li:SenseTime Research;Lei Bai:Shanghai AI Laboratory;Rui Zhao:SenseTime Research,Qing Yuan Research Institute, Shanghai Jiao Tong University

Session:

S1-D Trajectories

Research Paper

KRAF: A Flexible Advertising Framework using Knowledge Graph-enriched Multi-Agent Reinforcement Learning

Jose A. Ayala-Romero:Huawei Ireland Research Center;PÃ©ter Mernyei:Huawei Ireland Research Center;Bichen Shi:Huawei Ireland Research Center;Diego MazÃ³n:Huawei Ireland Research Center

Session:

S8-B Advertisements

Research Paper

KiCi: A Knowledge Importance Based Class Incremental Learning Method for Wearable Activity Recognition

Shuai Guo:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Yang Gu:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Shijie Wen:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Yuan Ma:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Yiqiang Chen:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Jiwei Wang:Institute of Computing Technology, Chinese Academy of Sciences,Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences);Chunyu Hu:School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences)

Session:

S9-C Temporal Data

Applied Paper

Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates

Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie and Guangzhong Sun

Session:

S5-F Knowledge Graphs & Knowledge Representations

Applied Paper

Knowledge Extraction and Plugging for Online Recommendation

Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng and Bo Zheng

Session:

S2-F Recommender Systems

Research Paper

Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms

Haiping Ma:Anhui University,Anhui University;Manwei Li:Anhui University,Anhui University;Le Wu:Hefei University of Technology;Haifeng Zhang:Anhui University;Yunbo Cao:Tencent Cloud Xiaowei;Xingyi Zhang:Anhui University;Xuemin Zhao:Tencent Cloud Xiaowei

Session:

S3-A Innovative Applications

Research Paper

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems

Chongming Gao:University of Science and Technology of China;Shijun Li:University of Science and Technology of China;Wenqiang Lei:Sichuan University;Jiawei Chen:Zhejiang University;Biao Li:Kuaishou Technology Co., Ltd.;Peng Jiang:Kuaishou Technology Co., Ltd.;Xiangnan He:University of Science and Technology of China;Jiaxin Mao:Renmin University of China;Tat-Seng Chua:National University of Singapore

Session:

S2-B Search and Evaluation

Research Paper

Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding

Kexuan Xin:the University of Queensland;Zequn Sun:Nanjing University;Wen Hua:the University of Queensland;Wei Hu:Nanjing University;Jianfeng Qu:Soochow University;Xiaofang Zhou:The Hong Kong University of Science and Technology

Session:

S4-C Knowledge Graphs and Entities

Research Paper

Latent Coreset Sampling based Data-Free Continual Learning

Zhuoyi Wang:Baidu Research;Dingcheng Li:Baidu Research;Ping Li:Baidu Research

Session:

S4-E Mining and Learning

Research Paper

Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)

Hanxiong Chen:Rutgers University;Yunqi Li:Rutgers University;He Zhu:Rutgers University;Yongfeng Zhang:Rutgers University

Session:

S9-B Architecture and Training

Research Paper

Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters

Wei Lu:Huazhong University of Science and Technology;Zhaobo Zhang:Huazhong University of Science and Technology;Pingpeng Yuan:Huazhong University of Science and Technology;Hai Jin:Huazhong University of Science and Technology;Qiangsheng Hua:Huazhong University of Science and Technology

Session:

S4-E Mining and Learning

Research Paper

Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks

Qiuyu Guo:Guangzhou University;Xiang Zhao:National University of Defense Technology;Yang Fang:National University of Defense Technology;Shiyu Yang:Guangzhou University;Xuemin Lin:Shanghai Jiao Tong University;Dian Ouyang:Guangzhou University

Session:

S7-D Zero-shot and Few-shot Learning

Applied Paper

Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks

Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang and Dong Wang

Session:

S3-H Reinforcement Learning

Research Paper

Learning to Generalize in Heterogeneous Federated Networks

Cen Chen:East China Normal University;Tiandi Ye:East China Normal University;Li Wang:Ant Group;Ming Gao:East China Normal University

Session:

S1-C Federated Learning

Applied Paper

Learning-to-Spell: Weak Supervision based Query Correction in E-Commerce Search with Small Strong Labels

Madhura Pande, Vishal Kakkar, Surender Kumar, Manish Bansal, Chinmay Sharma, Himanshu Malhotra and Praneet Ashok Mehta

Session:

S10-F Advertising & E-commerce

Research Paper

Legal Charge Prediction via Bilinear Attention Network

Yuquan Le:Hunan University;Yuming Zhao:JD AI Research;Meng Chen:JD AI Research;Zhe Quan:Hunan University;Xiaodong He:JD AI Research;Kenli Li:Hunan University

Session:

S10-A Reinforcement Learning / Legal Informatics

Industry

Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare

Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu and Faizan Javed

Session:

S1-H E-commerce and Search

Research Paper

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation

Jialun Wu:Xi'an Jiaotong University;Buyue Qian:Beijing Chaoyang Hospital, Capital Medical University;Yang Li:Xi'an Jiaotong University;Zeyu Gao:Xi'an Jiaotong University;Meizhi Ju:Tencent;Yifan Yang:Tencent Jarvis Lab;Yefeng Zheng:Tencent Jarvis Lab;Tieliang Gong:Xi'an Jiaotong University;Chen Li:Xi'an Jiaotong University;Xianli Zhang:Xi'an Jiaotong University

Session:

S1-A Biomedical and Drug Informatics

Research Paper

Long-Tail Experts for Graph Neural Networks

Sukwon Yun:KAIST;Kibum Kim:KAIST;Kanghoon Yoon:KAIST;Chanyoung Park:KAIST

Session:

S9-D Perturbations / Long-Tails

Research Paper

Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation

Chunhui Zhang:Brandeis University;Chao Huang:University of Hong Kong;Youhuan Li:Hunan University;Xiangliang Zhang:University of Notre Dame;Yanfang Ye:University of Notre Dame;Chuxu Zhang:Brandeis University

Session:

S3-B Contrastive Learning

Research Paper

Loyalty-based Task Assignment in Spatial Crowdsourcing

Tinghao Lai:University of Electronic Science and Technology of China;Yan Zhao:Department of Computer Science, Aalborg University;Weizhu Qian:Aalborg University;Kai Zheng:University of Electronic Science and Technology of China

Session:

S11-F Crowdsourcing

Research Paper

MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis

Jiandong Xie:Huawei Cloud Database Innovation Lab;Yue Cui:The Hong Kong University of Science and Technology;Feiteng Huang:Huawei Cloud Database Innovation Lab;Chao Liu:Huawei Cloud Database Innovation Lab;Kai Zheng:University of Electronic Science and Technology of China

Session:

S2-D Time-Series Data

Research Paper

MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation

Taeri Kim:Hanyang University;Yeon-Chang Lee:Hanyang University;Kijung Shin:KAIST;Sang-Wook Kim:Hanyang University

Session:

S1-E Multi-modal Data

Research Paper

MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies

Guohui Li:Huazhong University of Science and Technology;Zhiqiang Guo:Huazhong University of Science and Technology;Jianjun Li:Huazhong University of Science and Technology;Chaoyang Wang:Huazhong University of Science and Technology

Session:

S3-D Collaborative Filtering

Applied Paper

MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments

Abhirup Mondal, Anirban Majumder and Vineet Chaoji

Session:

S9-H Advertising & E-commerce

Research Paper

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio

Jinjia Feng:Peng Cheng Laboratory,Renmin University of China;Zhen Wang:Alibaba Group;Yaliang Li:Alibaba Group;Bolin Ding:Alibaba Group;Zhewei Wei:Renmin University of China;Hongteng Xu:Renmin University of China

Session:

S4-A Molecular Graphs & Chemsitry

Applied Paper

MIC:Model-agnostic Integrated Cross-channel Recommender

Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang and Yi Ren

Session:

S2-F Recommender Systems

Applied Paper

MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy

Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson, Gavin Edwards, Andriy Nikolov and Eliseo Papa

Session:

S9-G Finance & Healthcare

Research Paper

MORN: Molecular Property Prediction Based on Textual-Topological-Spatial Multi-View Learning

Runze Ma:Sichuan University;Yidan Zhang:Sichuan University;Xinye Wang:Sichuan University;Zhenyang Yu:Sichuan University;Lei Duan:Sichuan University

Session:

S4-A Molecular Graphs & Chemsitry

Research Paper

Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning

Yiyue Qian:University of Notre Dame;Yiming Zhang:Case Western Reserve University;Nitesh Chawla:University of Notre Dame;Yanfang Ye:University of Notre Dame;Chuxu Zhang:Brandeis University

Session:

S8-C Contrastive Learning

Research Paper

Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning

Shicheng Xu:Data Intelligence System Research Center, Institute of Computing Technology, CAS,University of Chinese Academy of Sciences;Liang Pang:Data Intelligence System Research Center, Institute of Computing Technology, CAS;Huawei Shen:Data Intelligence System Research Center, Institute of Computing Technology, CAS,University of Chinese Academy of Sciences;Xueqi Cheng:CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, CAS,University of Chinese Academy of Sciences

Session:

S11-C Search and Text

Research Paper

Maximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front

Seonjae Lee:Hanyang University;Myoung Hoon Lee:Hanyang University;Jun Moon:Hanyang University

Session:

S3-C Reinforcement Learning

Applied Paper

Measuring Friendship Closeness: A Perspective of Social Identity Theory

Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao and Bo Tang

Session:

S6-H Data Applications & Social Networks

Research Paper

Memory Bank Augmented Long-tail Sequential Recommendation

Yidan Hu:Nanyang Technological University,Nanyang Technological University;Yong Liu:Nanyang Technological University;Chunyan Miao:Nanyang Technological University,Nanyang Technological University;Yuan Miao:Victoria University,Victoria University

Session:

S9-D Perturbations / Long-Tails

Research Paper

Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation

Xiaoyu Cai:Hikvision Research Institute;Yao Fu:Hikvision Research Institute;Hong Zhao:Hikvision Research Institute;Weihao Jiang:Hikvision Research Institute;Shiliang Pu:Hikvision Research Institute

Session:

S6-D Conversation and Dialogue

Research Paper

MentorGNN: Deriving Curriculum for Pre-Training GNNs

Dawei Zhou:Virginia Tech;Lecheng Zheng:University of Illinois at Urbana-Champaign;Dongqi Fu:University of Illinois at Urbana-Champaign;Jiawei Han:University of Illinois at Urbana-Champaign;Jingrui He:University of Illinois at Urbana-Champaign

Session:

S5-C Pre-training

Research Paper

Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information

Jian Cui:S2W Inc.;Kwanwoo Kim:Korea Advanced Institute of Science and Technology;Seung Ho Na:Korea Advanced Institute of Science and Technology;Seungwon Shin:Korea Advanced Institute of Science and Technology

Session:

S10-B Fake News, Facts and Views

Research Paper

MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization

Hui Niu:Tsinghua University;Siyuan Li:Harbin Institute of Technology;Jian Li:Tsinghua University

Session:

S10-A Reinforcement Learning / Legal Informatics

Research Paper

Mining Reaction and Diffusion Dynamics in Social Activities

Taichi Murayama:Institute of Scientific and Industrial Research, Osaka University;Yasuko Matsubara:Institute of Scientific and Industrial Research, Osaka University;Yasushi Sakurai:Institute of Scientific and Industrial Research, Osaka University

Session:

S6-B Sentiment, Opinon, Dynamics and Spread

Applied Paper

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning

Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew Lan and Christopher Brinton

Session:

S3-G Social Good & Fairness

Research Paper

Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables

Hua-Rui He:University of Science and Technology of China;Jie Wang:University of Science and Technology of China,Institute of Artificial Intelligence;Yunfei Liu:University of Science and Technology of China;Feng Wu:University of Science and Technology of China

Session:

S4-A Molecular Graphs & Chemsitry

Research Paper

Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction

Hao Geng:Beihang University;Deqing Wang:Beihang University;Fuzhen Zhuang:Beihang University;Xuehua Ming:Beihang University;Chenguang Du:Beihang University;Ting Jiang:Beihang University;Haolong Guo:Beihang University;Rui Liu:Beihang University

Session:

S4-E Mining and Learning

Research Paper

Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes

Govind Waghmare:Mastercard, AI Garage;Ankur Debnath:Mastercard, AI Garage;Siddhartha Asthana:Mastercard, AI Garage;Aakarsh Malhotra:Mastercard, AI Garage

Session:

S2-D Time-Series Data

PhD Symposium

Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches

Wei-Yao Wang

Session:

S7-E

Research Paper

MonitorLight: Reinforcement Learning-based Traffic Signal Control using Mixed Pressure Monitoring

Zekuan Fang:East China Normal University;Fan Zhang:East China Normal University;Ting Wang:East China Normal University;Xiang Lian:Kent State University;Mingsong Chen:East China Normal University

Session:

S5-A Traffic Data

Applied Paper

Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center

Zhiyuan Yao, Zihan Ding and Thomas Clausen

Session:

S6-G Systems, Optimization & Security

Research Paper

Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-video Recommendation

Jinkun Han:Department of Computer Science, Georgia State University;Wei Li:Department of Computer Science, Georgia State University;Zhipeng Cai:Department of Computer Science, Georgia State University;Yingshu Li:Department of Computer Science, Georgia State University

Session:

S1-G Personalization

Applied Paper

Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems

Junning Liu, Xinjian Li, Bo An, Zijie Xia and Xu Wang

Session:

S4-F Recommender systems

Research Paper

Multi-Scale User Behavior Network for Entire Space Multi-Task Learning

Jiarui Jin:Shanghai Jiao Tong University;Xianyu Chen:Shanghai Jiao Tong University;Weinan Zhang:Shanghai Jiao Tong University;Yuanbo Chen:Alibaba Group;Zaifan Jiang:Alibaba Group;Zekun Zhu:Alibaba Group;Zhewen Su:Alibaba Group;Yong Yu:Shanghai Jiao Tong University

Session:

S2-B Search and Evaluation

Research Paper

Multi-agent Transformer Networks for Multi-modal Human Activity Recognition

Jingcheng Li:University of New South Wales;Lina Yao:The Commonwealth Scientific and Industrial Research Organisation,University of New South Wales;Binghao Li:University of New South Wales;Xianzhi Wang:University of Technology Sydney;Claude Sammut:University of New South Wales

Session:

S1-E Multi-modal Data

Research Paper

Multi-level Contrastive Learning Framework for Sequential Recommendation

Ziyang Wang:Huazhong University of Science and Technology;Huoyu Liu:Alibaba Group;Wei Wei:Huazhong University of Science and Techonology;Yue Hu:Alibaba Group;Xian-Ling Mao:Beijing Institute of Technology;Shaojian He:Alibaba Group;Rui Fang:Ping An Property & Casualty Insurance company of China, Ltd;Dangyang Chen:Ping An Property & Casualty Insurance company of China, Ltd

Session:

S7-B Contrastive Learning

Research Paper

Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression

Menghui Zhou:Yunnan University;Yu Zhang:The University of Sheffield;Tong Liu:The University of Sheffield;Yun Yang:Yunnan University;Po Yang:The University of Sheffield

Session:

S1-A Biomedical and Drug Informatics

Applied Paper

Multimodal Meta-Learning for Cold-Start Sequential Recommendation

Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu and Wayne Xin Zhao

Session:

S2-F Recommender Systems

Research Paper

NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution

Chenglong Ma:RMIT University;Yongli Ren:RMIT University;Pablo Castells:Universidad AutÃ³noma de Madrid;Mark Sanderson:RMIT University

Session:

S6-B Sentiment, Opinon, Dynamics and Spread

Research Paper

Network Aware Forecasting for eCommerce Supply Planning

K.V.M. Naidu:Flipkart;Praveen Gupta:Flipkart;Vaishnavi Gujjula:Indian Institute of Technology Madras

Session:

S8-B Advertisements

Applied Paper

Network Report: A Structured Description for Network Datasets

Xinyi Zheng, Ryan Rossi, Nesreen Ahmed and Dominik Moritz

Session:

S6-H Data Applications & Social Networks

Applied Paper

Numberical Feature Representation with Hybrid N-ary Encoding

Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang and Rui Zhang

Session:

S6-H Data Applications & Social Networks

Applied Paper

Observability of SQL Hints in Oracle Database

Krishna Kantikiran Pasupuleti, Dinesh Das, Satyanarayana Valluri and Mohamed Zait

Session:

S6-G Systems, Optimization & Security

Applied Paper

Offline Reinforcement Learning for Mobile Notifications

Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng and Prakruthi Prabhakar

Session:

S3-H Reinforcement Learning

Research Paper

On Smoothed Explanations: Quality and Robustness

Ahmad Ajalloeian:University of Lausanne;Seyed-Mohsen Moosavi-Dezfooli:Imperial College London;Michalis Vlachos:University of Lausanne;Pascal Frossard:Ã‰cole Polytechnique FÃ©dÃ©rale de Lausanne (EPFL)

Session:

S6-A Explainablility and Interpretability

Industry

On the Challenges of Podcast Search at Spotify

Mi Tian, Claudia Hauff and Praveen Chandar

Session:

S1-H E-commerce and Search

Research Paper

One Rating to Rule Them All? Evidence of Multidimensionality in Human Assessment of Topic Labeling Quality

Amin Hosseiny Marani:Lehigh University;Joshua Levine:University of Massachusetts Amherst;Eric P.S. Baumer:Lehigh University

Session:

S2-B Search and Evaluation

Research Paper

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction

Fuyuan Lyu:McGill University;Xing Tang:Huawei Noah's Ark Lab;Hong Zhu:Huawei Noah's Ark Lab;Huifeng Guo:Huawei Noah's Ark Lab;Yingxue Zhang:Huawei Noah's Ark Lab;Ruiming Tang:Huawei Noah's Ark Lab;Xue Liu:McGill University

Session:

S8-D Click-through Rate Prediction

Research Paper

Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading

Zhongjie Duan:East China Normal University;Cen Chen:East China Normal University;Dawei Cheng:Tongji University;Yuqi Liang:Seek Data Group, Emoney Inc.;Weining Qian:East China Normal University

Session:

S10-A Reinforcement Learning / Legal Informatics

Research Paper

P-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning

Ping Li:LinkedIn Corporation;Xiaoyun Li:Rutgers University;Gennady Samorodnitsky:Cornell University

Session:

S8-A Querying and Hashing

Applied Paper

PAVE: Lazy-MDP based Ensemble to Improve Recall of Product Attribute Extraction Models

Kushal Kumar and Anoop Saladi

Session:

S3-H Reinforcement Learning

Applied Paper

PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction

Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma and Yanyan Lan

Session:

S9-G Finance & Healthcare

Research Paper

PLAID: An Efficient Engine for Late Interaction Retrieval

Keshav Santhanam:Stanford University;Omar Khattab:Stanford University;Christopher Potts:Stanford University;Matei Zaharia:Stanford University

Session:

S8-A Querying and Hashing

Applied Paper

PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations

Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu and Jiliang Tang

Session:

S8-F Recommender systems

Research Paper

Parallel Skyline Processing Using Space Pruning on GPU

Chuanwen Li:Northeastern University, China;Yu Gu:Northeastern University, China;Jianzhong Qi:The University of Melbourne;Ge Yu:Northeastern University, China

Session:

S8-A Querying and Hashing

Research Paper

Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment

Zile Zhou:Renmin University of China;Xiao Zhou:Renmin University of China;Mingzhe Li:Peking University;Yang Song:Boss Zhipin NLP Center;Tao Zhang:Boss Zhipin NLP Center;Rui Yan:Renmin University of China

Session:

S9-A Personalization and Preference

Research Paper

Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function

A.B. Siddique:University of Kentucky;M.H. Maqbool:University of Central Florida;Kshitija Taywade:University of Kentucky;Hassan Foroosh:University of central Florida

Session:

S1-B Transfer Learning

Research Paper

Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution

Ilija Simic:Know-Center GmbH;Vedran Sabol:Know-Center GmbH;Eduardo Veas:Graz University of Technology

Session:

S9-D Perturbations / Long-Tails

Applied Paper

PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation

Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen and Chuan Chen

Session:

S8-F Recommender systems

Research Paper

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-Squashing

Qingyun Sun:Beihang University;Jianxin Li:Beihang University;Haonan Yuan:Beihang University;Xingcheng Fu:Beihang University;Hao Peng:Beihang University;Cheng Ji:Beihang University;Qian Li:Beihang University;Philip S. Yu:University of Illinois at Chicago

Session:

S5-D Graph Learning

Research Paper

Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks

Hanyang Liu:Washington University in St. Louis;Michael Montana:Washington University in St. Louis;Dingwen Li:Washington University in St. Louis;Chase Renfroe:Washington University in St. Louis;Thomas Kannampallil:Washington University in St. Louis;Chenyang Lu:Washington University in St. Louis

Session:

S1-A Biomedical and Drug Informatics

Applied Paper

Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery

Tong Li, Shiduo Xin, Yanxin Xi, Sasu Tarkoma, Pan Hui and Yong Li

Session:

S9-F Emerging Applications

Research Paper

Prediction-based One-shot Dynamic Parking Pricing

Seoyoung Hong:Yonsei University;Heejoo Shin:University of California San Diego;Jeongwhan Choi:Yonsei University;Noseong Park:Yonsei University

Session:

S7-D Zero-shot and Few-shot Learning

Research Paper

PromptORE - A Novel Approach Towards True Unsupervised Relation Extraction

Pierre-Yves Genest:Alteca,Univ Lyon, INSA Lyon, LIRIS, CNRS;Pierre-Ã‰douard Portier:Univ Lyon, INSA Lyon, LIRIS, CNRS;ElÃ¶d Egyed-Zsigmond:Univ Lyon, INSA Lyon, LIRIS, CNRS;Laurent-Walter Goix:Alteca

Session:

S10-C Information Extraction

Research Paper

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems

Allen Lin:Texas A&M University;Jianling Wang:Texas A&M University;Ziwei Zhu:George Mason University;James Caverlee:Texas A&M University

Session:

S7-A Algorithmic Biases

Applied Paper

Query Rewriting in TaoBao Search

Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James Kwok and Qianli Ma

Session:

S1-F Advertising & E-commerce

Applied Paper

QuickSkill: Novice Skill Estimation in Online Multiplayer Games

Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu and Bingchao Zheng

Session:

S6-H Data Applications & Social Networks

Research Paper

RAGUEL: Recourse-Aware Group Unfairness Elimination

Aparajita Haldar:University of Warwick;Teddy Cunningham:University of Warwick;Hakan Ferhatosmanoglu:University of Warwick

Session:

S7-A Algorithmic Biases

Research Paper

RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning

Yuyang Xia:University of Electronic Science and Technology of China;Shuncheng Liu:University of Electronic Science and Technology of China;Xu Chen:University of Electronic Science and Technology of China;Zhi Xu:University of Electronic Science and Technology of China;Kai Zheng:University of Electronic Science and Technology of China;Han Su:University of Electronic Science and Technology of China

Session:

S3-C Reinforcement Learning

Research Paper

RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis

Houxing Ren:School of Computer Science and Engineering, Beihang University;Jingyuan Wang:School of Computer Science and Engineering, Beihang University,Peng Cheng Laboratory;Wayne Xin Zhao:Gaoling School of Artificial Intelligence, Renmin University of China

Session:

S1-A Biomedical and Drug Informatics

Applied Paper

RaDaR: A Real word Dataset for AI powered Run-time Detection of Cyber Attacks

Sareena Karapoola, Nikhilesh Singh, Chester Rebeiro and Kamakoti V

Session:

S6-G Systems, Optimization & Security

Research Paper

Rank List Sensitivity of Recommender Systems to Interaction Perturbations

Sejoon Oh:Georgia Institute of Technology;Berk Ustun:University of California San Diego;Julian McAuley:University of California San Diego;Srijan Kumar:Georgia Institute of Technology

Session:

S9-D Perturbations / Long-Tails

PhD Symposium

Rank-Aware Gain-Based Evaluation of Extractive Summarization

Mousumi Akter

Session:

S6-E

Research Paper

Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs

Thi Huyen Nguyen:L3S Research Center;Koustav Rudra:Indian Institute of Technology (Indian School of Mines) Dhanbad

Session:

S3-B Contrastive Learning

Research Paper

ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models

Ziheng Chen:Department of Applied Mathematics and Statistics, Stony Brook University;Fabrizio Silvestri:Department of Computer Engineering, Sapienza University of Rome;Jia Wang:Department of Intelligent Science, The Xi'an Jiaotong-Liverpool University;He Zhu:Department of Computer Science at Rutgers University-New Brunswick;Hongshik Ahn:Department of Applied Mathematics and Statistics, Stony Brook University;Gabriele Tolomei:Department of Computer Science, Sapienza University of Rome

Session:

S6-A Explainablility and Interpretability

Applied Paper

ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games

Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, Paul Jeffrey Brantingham and Wei Wang

Session:

S3-H Reinforcement Learning

Applied Paper

Real-time Short Video Recommendation on Mobile Devices

Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang and Kun Gai

Session:

S8-F Recommender systems

Applied Paper

RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer

Keonwoo Kim, Donghee Choi, Kana Maruyama, Jihun Choi, Hajung Kim, Donghyeon Park and Jaewoo Kang

Session:

S2-F Recommender Systems

Research Paper

Reinforced Continual Learning for Graphs

Appan Rakaraddi:Nanyang Technological University;Lam Siew Kei:Nanyang Technological University;Mahardhika Pratama:University of South Australia;Marcus De Carvalho:Nanyang Technological University

Session:

S3-C Reinforcement Learning

Research Paper

Relational Self-Supervised Learning on Graphs

Namkyeong Lee:KAIST;Dongmin Hyun:POSTECH;Junseok Lee:KAIST;Chanyoung Park:KAIST

Session:

S11-D Graphs & Recommendation

Research Paper

RelpNet: Relation-based Link Prediction Neural Network

Ensen Wu:Beijing University of Posts and Telecommunications;Hongyan Cui:Beijing University of Posts and Telecommunications;Zunming Chen:Beijing University of Posts and Telecommunications

Session:

S4-B Link Prediction

Research Paper

Representation Matters When Learning From Biased Feedback in Recommendation

Teng Xiao:The Pennsylvania State University;Zhengyu Chen:Zhejiang University;Suhang Wang:The Pennsylvania State University

Session:

S7-A Algorithmic Biases

Research Paper

Residual Correction in Real-Time Traffic Forecasting

Daejin Kim:KAIST AI;Youngin Cho:KAIST AI;Dongmin Kim:KAIST AI;Cheonbok Park:NAVER Corp.;Jaegul Choo:KAIST AI

Session:

S5-A Traffic Data

Research Paper

Rethinking Conversational Recommendations: Is Decision Tree All You Need?

A S M Ahsan-Ul Haque:University of Virginia;Hongning Wang:University of Virginia

Session:

S6-D Conversation and Dialogue

Research Paper

Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation

Yoonhyuk Choi:Seoul National University;Jiho Choi:Seoul National University;Taewook Ko:Seoul National University;Hyungho Byun:Seoul National University;Chong-Kwon Kim:Korea Institute of Energy Technology

Session:

S7-C Cross-Domain Recommendation

Research Paper

Risk-Aware Bid Optimization for Online Display Advertisement

Rui Fan:HEC Montréal;Erick Delage:HEC Montréal

Session:

S8-B Advertisements

Research Paper

Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation

Jun Zhuang:Indiana University-Purdue University Indianapolis;Mohammad Al Hasan:Indiana University-Purdue University Indianapolis

Session:

S5-B Adversarial Learning

Research Paper

Robust Recurrent Classifier Chains For Multi-Label Learning With Missing Labels

Walter Gerych:Worcester Polytechnic Institute;Thomas Hartvigsen:Massachusetts Institute of Technology;Luke Buquicchio:Worcester Polytechnic Institute;Emmanuel Agu:Worcester Polytechnic Institute;Elke Rundensteiner:Worcester Polytechnic Institute

Session:

S6-C Multi-label and Imbalance / CommonSense

Research Paper

RobustFed: A Truth Inference Approach for Robust Federated Learning

Farnaz Tahmasebian:Emory University, Alumni;Jian Lou:Xidian University;Li Xiong:Emory University

Session:

S1-C Federated Learning

Research Paper

RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation

Yao Zhang:Fudan University;Yun Xiong:Fudan University;Yiheng Sun:Tencent Weixin Group;Caihua Shan:Microsoft Research Asia;Tian Lu:Arizona State University;Hui Song:Tencent Weixin Group;Yangyong Zhu:Fudan University

Session:

S6-A Explainablility and Interpretability

Applied Paper

SASNet: Stage-aware sequential matching for online travel recommendation

Fanwei Zhu, Zulong Chen, Fan Zhang, Jiazhen Lou, Hong Wen, Shui Liu, Qi Rao, Tengfei Yuan, Shenghua Ni and Jinxin Hu

Session:

S4-F Recommender systems

Research Paper

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis

Jia Li:Peking University;Yuyuan Zhao:Peking University;Zhi Jin:Peking University;Ge Li:Peking University;Tao Shen:University of Technology Sydney;Zhengwei Tao:Peking University;Chongyang Tao:Microsoft Corporation

Session:

S6-B Sentiment, Opinon, Dynamics and Spread

Research Paper

SPOT: Knowledge-Enhanced Language Representations for Information Extraction

Jiacheng Li:University of California, San Diego;Yannis Katsis:IBM Research;Tyler Baldwin:IBM Research;Ho-Cheol Kim:IBM Research - Almaden;Andrew Bartko:University of California, San Diego;Julian Mcauley:University of California, San Diego;Chun-Nan Hsu:University of California, San Diego

Session:

S10-C Information Extraction

Applied Paper

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction

Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu and Bo Zheng

Session:

S1-F Advertising & E-commerce

Research Paper

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation

Shaowen Peng:Kyoto University;Kazunari Sugiyama:Kyoto University;Tsunenori Mine:Kyushu University

Session:

S2-G Network Embedding and Graph Recommendation

Research Paper

SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding

Sunoh Kim:Department of ECE, ASRI, Seoul National University;Taegil Ha:Department of ECE, ASRI, Seoul National University;Kimin Yun:Electronics and Telecommunications Research Institute;Jin Young Choi:Department of ECE, ASRI, Seoul National University

Session:

S1-E Multi-modal Data

Research Paper

Samba: Identifying Inappropriate Videos for Young Children on YouTube

Le Binh:Sungkyunkwan University;Rajat Tandon:USC/ISI;Chingis Oinar:Sungkyunkwan University;Jeffrey Liu:University of Southern California;Uma Durairaj:University of Southern California;Jiani Guo:University of Southern California;Spencer Zahabizadeh:University of Southern California;Sanjana Ilango:University of Southern California;Jeremy Tang:University of Southern California;Fred Morstatter:USC/ISI;Simon Woo:Sungkyunkwan University;Jelena Mirkovic:USC/ISI

Session:

S2-A Privacy and Security

Applied Paper

Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction

Yue Cao, Xiaojiang Zhou, Jiaqi Feng, Peihao Huang, Yao Xiao, Dayao Chen and Sheng Chen

Session:

S9-H Advertising & E-commerce

Research Paper

Scalable Graph Sampling on GPUs with Compressed Graph

Hongbo Yin:Beijing University of Posts and Telecommunications;Yingxia Shao:Beijing University of Posts and Telecommunications;Xupeng Miao:Carnegie Mellon University;Yawen Li:Beijing University of Posts and Telecommunications;Bin Cui:Peking University

Session:

S4-D Scalability and Efficiency

Research Paper

Scaling Up Maximal $k$-plex Enumeration

Qiangqiang Dai:Beijing Institute of Technology;Rong-Hua Li:Beijing Institute of Technology;Hongchao Qin:Beijing Institute of Technology;Meihao Liao:Beijing Institute of Technology;Guoren Wang:Beijing Institute of Technology

Session:

S11-B Subgraphs and Substructure

Research Paper

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval

Xinyu Ma:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Jiafeng Guo:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Ruqing Zhang:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Yixing Fan:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences;Xueqi Cheng:CAS Key Lab of Network Data Science and Technology, ICT, CAS,University of Chinese Academy of Sciences

Session:

S2-B Search and Evaluation

Applied Paper

Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation

Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei and Fei Fang

Session:

S4-F Recommender systems

Applied Paper

Selective Tensorized Multi-layer LSTM for Orbit Prediction

Youjin Shin, Eun-Ju Park, Simon S. Woo, Okchul Jung and Daewon Chung

Session:

S9-F Emerging Applications

Research Paper

Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner

Andreas Burgdorf:University of Wuppertal;Alexander Paulus:University of Wuppertal;AndrÃ© Pomp:University of Wuppertal;Tobias Meisen:University of Wuppertal

Session:

S11-C Search and Text

Research Paper

Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion

Chaoqi Yang:University of Illinois at Urbana-Champaign;Ruijie Wang:University of Illinois at Urbana-Champaign;Shuochao Yao:George Mason University;Tarek Abdelzaher:University of Illinois at Urbana-Champaign

Session:

S5-D Graph Learning

Research Paper

Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection

Kaiting Lai:Pekinig University;Yinong Long:Platform and Content Group, Tencent;Bowen Wu:Peking University,Platform and Content Group, Tencent;Ying Li:National Research Center of Software Engineering, Peking University;Baoxun Wang:Platform and Content Group, Tencent

Session:

S10-B Fake News, Facts and Views

Applied Paper

Sentaur: Sensor Observable Data Model for Smart Spaces

Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma, Roberto Yus and Nalini Venkatasubramanian

Session:

S7-F Systems, Optimization & Security

Research Paper

Sequence Prediction Under Missing Data : An RNN Approach Without Imputation

Soumen Pachal:Tata Consultancy Services Research;Avinash Achar:Tata Consultancy Services Research

Session:

S11-D Graphs & Recommendation

PhD Symposium

Sequence-Driven Analytics and Prediction

Usman Ahmed

Session:

S6-E

Research Paper

Serpens: Privacy-Preserving Inference through Conditional Separable of Convolutional Neural Networks

Longlong Sun:Xidian University;Hui Li:Xidian University;Yanguo Peng:Xidian University;Jiangtao Cui:Xidian University

Session:

S2-A Privacy and Security

Research Paper

Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth

Yilin Kang:Institute of Information Engineering, Chinese Academy of Sciences,School of Cyber Security, University of Chinese Academy of Sciences;Yong Liu:Renmin University of China;Jian Li:Institute of Information Engineering, Chinese Academy of Sciences;Weiping Wang:Institute of Information Engineering, Chinese Academy of Sciences

Session:

S2-A Privacy and Security

Industry

Shoe Size Resolution in Search Queries and Product Listings using Knowledge Graphs

Petar Ristoski, Aritra Mandal, Simon Becker, Anu Mandalam, Ethan Hart, Sanjika Hewavitharana, Zhe Wu and Qunzhi Zhou

Session:

S1-H E-commerce and Search

Industry

Simulating complex problems inside a database

Nikolaos Vasiloglou

Session:

S2-H Novel applications

Applied Paper

Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data

Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl and Henrik Landgren

Session:

S9-G Finance & Healthcare

Research Paper

Sliding Cross Entropy for Self-Knowledge Distillation

Hanbeen Lee:Sungkyunkwan University;Jeongho Kim:Sungkyunkwan University (SKKU);Simon Woo:Sungkyunkwan University

Session:

S4-E Mining and Learning

Research Paper

Smart Contract Scams Detection with Topological Data Analysis on Account Interaction

Shuhui Fan:National University of Defense Technology;Shaojing Fu:National University of Defense Technology;Yuchuan Luo:National University of Defense Technology;Haoran Xu:National University of Defense Technology;Xuyun Zhang:Macquarie University;Ming Xu:National University of Defense Technology

Session:

S3-A Innovative Applications

Research Paper

Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios

Yao Liu:The University of New South Wales;Lina Yao:The Commonwealth Scientific and Industrial Research Organisation,The University of New South Wales;Binghao Li:The University of New South Wales;Xianzhi Wang:The University of Technology Sydney;Claude Sammut:The University of New South Wales

Session:

S9-C Temporal Data

Research Paper

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

Eunseong Choi:Sungkyunkwan University;Sunkyung Lee:Sungkyunkwan University;Minijn Choi:Sungkyunkwan University;Hyeseon Ko:Naver Corp.;Young-In Song:Naver Corp.;Jongwuk Lee:Sungkyunkwan University

Session:

S11-C Search and Text

Applied Paper

Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences

Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen and Bing Wang

Session:

S10-F Advertising & E-commerce

Research Paper

Spatio-temporal Trajectory Learning using Simulation Systems

Daniel Glake:University of Applied Sciences;Fabian Panse:UniversitÃ¤t Hamburg;Ulfia Lenfers:University of Applied Sciences;Thomas Clemen:University of Applied Sciences;Norbert Ritter:UniversitÃ¤t Hamburg

Session:

S1-D Trajectories

Research Paper

Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks

Yinfeng Li:Tsinghua University;Chen Gao:Tsinghua University;Xiaoyi Du:Meituan Inc.;Huazhou Wei:Meituan Inc.;Hengliang Luo:Meituan Inc.;Depeng Jin:Tsinghua University;Yong Li:Tsinghua University

Session:

S11-D Graphs & Recommendation

Research Paper

Stop&Hop: Early Classification of Irregular Time Series

Thomas Hartvigsen:Massachusetts Institute of Technology;Walter Gerych:Worcester Polytechnic Institute;Jidapa Thadajarassiri:Worcester Polytechnic Institute;Xiangnan Kong:Worcester Polytechnic Institute;Elke Rundensteiner:Worcester Polytechnic Institute

Session:

S2-D Time-Series Data

Research Paper

Storage-saving Transformer for Sequential Recommendations

Kesen Zhao:City University of Hong Kong;Xiangyu Zhao:City University of Hong Kong;Zijian Zhang:Jilin University,City University of Hong Kong;Muyang Li:University of Sydney

Session:

S2-C Sequential Recommendation

Applied Paper

Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data

Indraneil Paul and Sumit Negi

Session:

S6-F Advertising & E-commerce

Applied Paper

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance

Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao and Wei Shen

Session:

S1-F Advertising & E-commerce

Industry

Synerise Monad - Real-Time Multimodal Behavioral Modeling

Jacek Dąbrowski and Barbara Rychalska

Session:

S2-H Novel applications

Research Paper

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Freq Analysis

Chaoli Zhang:DAMO Academy, Alibaba Group;Tian Zhou:DAMO Academy, Alibaba Group;Qingsong Wen:DAMO Academy, Alibaba Group;Liang Sun:DAMO Academy, Alibaba Group

Session:

S2-D Time-Series Data

Research Paper

Target Interest Distillation for Multi-Interest Recommendation

Chenyang Wang:Tsinghua University;Zhefan Wang:Tsinghua University;Yankai Liu:China Mobile Research Institute,Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute;Yang Ge:China Mobile Research Institute;Weizhi Ma:Tsinghua University;Min Zhang:Tsinghua University,Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute;Yiqun Liu:Tsinghua University;Junlan Feng:China Mobile Research Institute;Chao Deng:China Mobile Research Institute;Shaoping Ma:Tsinghua University

Session:

S1-G Personalization

Research Paper

Task Assignment with Federated Preference Learning in Spatial Crowdsourcing

Jiaxin Liu:University of Electronic Science and Technology of China;Liwei Deng:University of Electronic Science and Technology of China;Hao Miao:Aalborg University;Yan Zhao:Aalborg University;Kai Zheng:University of Electronic Science and Technology of China

Session:

S11-F Crowdsourcing

Research Paper

Task Publication Time Recommendation in Spatial Crowdsourcing

Xuanlei Chen:University of Electronic Science and Technology of China;Yan Zhao:Department of Computer Science, Aalborg University;Kai Zheng:University of Electronic Science and Technology of China

Session:

S11-F Crowdsourcing

Research Paper

Taxonomy-Enhanced Graph Neural Networks

Lingjun Xu:Peking University;Shiyin Zhang:Peking University;Guojie Song:Peking University;Junshan Wang:Alibaba Group;Tianshu Wu:Alibaba Group;Guojun Liu:Alibaba Group

Session:

S11-D Graphs & Recommendation

Research Paper

Temporal Contrastive Pre-Training for Sequential Recommendation

Changxin Tian:Renmin University of China;Zihan Lin:Renmin University of China;Shuqing Bian:Renmin University of China;Jinpeng Wang:Meituan Group;Wayne Xin Zhao:Renmin University of China

Session:

S7-B Contrastive Learning

Applied Paper

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction

Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang and Yuqi Liang

Session:

S9-G Finance & Healthcare

Research Paper

Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network

Shiyin Tan:Kuaishou Technology;Jingyi You:Tokyo Institute of Technology;Dongyuan Li:Tokyo Institute of Technology

Session:

S8-C Contrastive Learning

Research Paper

The Interaction Graph Auto-encoder Network Based on Topology-aware for Transferable Recommendation

Ruiyun Yu:Northeastern University;Kang Yang:Northeastern University;Bingyang Guo:Northeastern University

Session:

S11-D Graphs & Recommendation

Research Paper

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation

Jianhuan Zhuo:Chinese Academy of Sciences,University of Chinese Academy of Sciences;Jianxun Lian:Microsoft Research Asia;Lanling Xu:Renmin University of China;Ming Gong:Microsoft STC Asia;Linjun Shou:Microsoft STC Asia;Daxin Jiang:Microsoft STC Asia;Xing Xie:Microsoft Research Asia;Yinliang Yue:Chinese Academy of Sciences,University of Chinese Academy of Sciences

Session:

S7-D Zero-shot and Few-shot Learning

Research Paper

Time Lag Aware Sequential Recommendation

Lihua Chen:Sichuan University;Ning Yang:Sichuan University;Philip S. Yu:University of Illinois at Chicago

Session:

S2-C Sequential Recommendation

Research Paper

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning

Daochen Zha:Rice University;Kwei-Herng Lai:Rice University;Qiaoyu Tan:Texas A&M University;Sirui Ding:Texas A&M University;Na Zou:Texas A&M University;Xia Ben Hu:Rice University

Session:

S3-C Reinforcement Learning

Applied Paper

Towards Edge-Cloud Collaborative Machine Learning: a Quality-aware Task Partition Framework

Zimu Zheng, Yunzhe Li, Han Song, Lanjun Wang and Fei Xia

Session:

S6-G Systems, Optimization & Security

Applied Paper

Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery

Wenjun Lyu, Kexin Zhang, Baoshen Guo, Zhiqing Hong, Guang Yang, Guang Wang, Yu Yang, Yunhuai Liu and Desheng Zhang

Session:

S3-G Social Good & Fairness

Applied Paper

Towards Fairer Classifier via True Fairness Score Path

Bin Gu, Zhai Zhou, Xiang Li and Heng Huang

Session:

S3-G Social Good & Fairness

Research Paper

Towards Federated Learning against Noisy Labels via Local Self-Regularization

Xuefeng Jiang:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Sheng Sun:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Yuwei Wang:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences;Min Liu:Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences

Session:

S1-C Federated Learning

Applied Paper

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balanced Constraints

Zhengqing Gao, Huimin Wu, Martin Takac and Bin Gu

Session:

S7-F Systems, Optimization & Security

Research Paper

Towards Principled User-side Recommender Systems

Ryoma Sato:Kyoto University

Session:

S9-A Personalization and Preference

Research Paper

Towards Robust False Information Detection on Social Networks with Contrastive Learning

Guanghui Ma:Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University;Chunming Hu:College of Software, Beihang University;Ling Ge:Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University;Junfan Chen:Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University;Hong Zhang:Response Technical Team / Coordination Center of China;Richong Zhang:Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University

Session:

S3-B Contrastive Learning

Research Paper

Towards Self-supervised Learning on Graphs with Heterophily

Jingfan Chen:Nanjing University;Guanghui Zhu:Nanjing University;Yifan Qi:Nanjing University;Chunfeng Yuan:Nanjing University;Yihua Huang:Nanjing University

Session:

S5-D Graph Learning

Research Paper

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models

Zhao-Yu Zhang:Nanjing University;Xiang-Rong Sheng:Alibaba Group;Yujing Zhang:Alibaba Group;Biye Jiang:Alibaba Group;Shuguang Han:Alibaba Group;Hongbo Deng:Alibaba Group;Bo Zheng:Alibaba Group

Session:

S8-D Click-through Rate Prediction

Applied Paper

Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability

Shahroz Tariq, Le Binh and Simon Woo

Session:

S6-G Systems, Optimization & Security

Research Paper

Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training

Qianxiong Xu:Nanyang Technological University;Sijie Ruan:Beijing Institute of Technology;Cheng Long:Nanyang Technological University;Liang Yu:Alibaba Group;Chen Zhang:Hong Kong Polytechnic University

Session:

S5-A Traffic Data

Research Paper

TrajFormer: Efficient Trajectory Classification with Transformers

Yuxuan Liang:National University of Singapore;Kun Ouyang:National University of Singapore;Yiwei Wang:National University of Singapore;Xu Liu:National University of Singapore;Hongyang Chen:Zhejiang Lab;Junbo Zhang:JD Technology;Yu Zheng:JD Technology;Roger Zimmermann:National University of Singapore

Session:

S1-D Trajectories

Research Paper

Two-level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference

Rongmei Zhao:School of Computer Science, Sichuan University;Shenggen Ju:School of Computer Science, Sichuan University;Jian Peng:School of Computer Science, Sichuan University;Ning Yang:School of Computer Science, Sichuan University;Fanli Yan:School of Computer Science, Sichuan University;Siyu Sun:School of Computer Science, Sichuan University

Session:

S6-D Conversation and Dialogue

Applied Paper

UDM: A Unified Deep Matching Framework in Recommender Systems

Long Guo, Fei Fang, Bin Cui and Binqiang Zhao

Session:

S4-F Recommender systems

Research Paper

UnCommonSense: Informative Negative Knowledge about Everyday Concepts

Hiba Arnaout:Max Planck Institute for Informatics;Simon Razniewski:Max Planck Institute for Informatics;Gerhard Weikum:Max Planck Institute for Informatics;Jeff Z. Pan:The University of Edinburgh

Session:

S6-C Multi-label and Imbalance / CommonSense

Research Paper

Unbiased Learning to Rank with Biased Continuous Feedback

Yi Ren:Tencent;Hongyan Tang:Tencent;Siwen Zhu:Tencent

Session:

S7-A Algorithmic Biases

Research Paper

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization

Ning Liu:National University of Defense Technology;Songlei Jian:National University of Defense Technology;Dongsheng Li:National University of Defense Technology;Hongzuo Xu:National University of Defense Technology

Session:

S11-B Subgraphs and Substructure

Research Paper

Unsupervised Representation Learning on Attributed Multiplex Network

Rui Zhang:University of Southern Denmark;Arthur Zimek:University of Southern Denmark;Peter Schneider-Kamp:University of Southern Denmark

Session:

S2-G Network Embedding and Graph Recommendation

Research Paper

User Recommendation in Social Metaverse with VR

Bing-Jyue Chen:Academia Sinica;De-Nian Yang:Academia Sinica

Session:

S3-A Innovative Applications

Industry

Utilizing Contrastive Learning To Address Long Tail Issue in Product Categorization

Lei Chen and Tianqi Wang

Session:

S1-H E-commerce and Search

Applied Paper

WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records

Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores and Dongwon Lee

Session:

S9-F Emerging Applications

Research Paper

Weakly-Supervised Online Hashing with Refined Pseudo Tags

Chen-Lu Ding:Shandong University;Xin Luo:Shandong University;Xiao-Ming Wu:Shandong University;Yu-Wei Zhan:Shandong University;Rui Li:Inspur Academy of Science and Technology;Hui Zhang:Inspur Software Group Ltd;Xin-Shun Xu:Shandong University

Session:

S8-A Querying and Hashing

Research Paper

When Should We Use Linear Explanations?

Julien Delaunay:Inria;Luis GalÃRraga:Inria;Christine LargouÃ«T:Irisa /Agrocampus Ouest

Session:

S6-A Explainablility and Interpretability

Applied Paper

Will this Online Shopping Session Succeed? Predicting Customer's Purchase Intention using Embeddings

Miguel Alves Gomes, Richard Meyes, Philipp Meisen and Tobias Meisen

Session:

S9-H Advertising & E-commerce

Research Paper

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning

Baoyu Jing:University of Illinois at Urbana-Champaign;Shengyu Feng:Carnegie Mellon University;Yuejia Xiang:Tencent;Xi Chen:Tencent;Yu Chen:Tencent;Hanghang Tong:University of Illinois at Urbana-Champaign

Session:

S3-B Contrastive Learning

Applied Paper

e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce

Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh and Hwanjun Song

Session:

S9-H Advertising & E-commerce

What you should know?

Papers/Posters