Accepted Papers

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Research Track Papers
Applied Data Science Track Papers

Research Track Papers

  • A Broader Picture of Random-walk Based Graph Embedding
    Authors: Zexi Huang (University of California, Santa Barbara)*; Arlei Lopes da
  • A Color-blind 3-Approximation for Chromatic Correlation Clustering and Improved Heuristics
    Authors: Davis Issac (Hasso Plattner Institut)*; Katrin Casel (Hasso Plattner Institute); Tobias Friedrich (Hasso Plattner Institute); Nicolos Klodt (Hasso Plattner Institut); Lars Seifert (Hasso Plattner Institute); Arthur Zahn (Hasso Plattner Institute)
  • A Difficulty-Aware Framework for Churn Prediction and Intervention in Games
    Authors: Jiayu Li (Tsinghua University)*; Hongyu Lu (Tsinghua University); Chenyang Wang (Tsinghua University); Weizhi Ma (Tsinghua University); Min Zhang (Tsinghua University); Xiangyu Zhao (Beijing Microfun Co.Ltd ); Wei Qi (Beijing Microfun Co.Ltd); Yiqun LIU (Tsinghua University); Shaoping Ma (Tsinghua University)
  • A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks
    Authors: Peng Han (KAUST)*; Jin Wang (UCLA); Di Yao (Institute of Computing Technology, Chinese Academy of Sciences); Shuo Shang (KAUST); Xiangliang Zhang (" King Abdullah University of Science and Technology, Saudi Arabia")
  • A hyper-surface arrangement model of ranking distributions
    Authors: Shizuo Kaji (Kyushu University)*; Akira Horiguchi (Kyushu University); Takuro Abe (Kyushu University); Yohsuke Watanabe (ZOZO Technologies)
  • A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples
    Authors: Hong Yu (Chongqing Key Laboratory of Computational Intelligence; Chongqing University of Posts and Telecommunications)*; Jia Tang (Chongqing University of Posts and Telecommunications); Guoyin Wang (Chongqing Key Laboratory of Computational Intelligence; Chongqing University of Posts and Telecommunications); Xinbo Gao (Chongqing University of Posts and Telecommunications)
  • A Stagewise Hyperparameter Scheduler to Improve Generalization
    Authors: Jianhui Sun (University of Virginia)*; Ying Yang (University of Michigan); Guangxu Xun (University of Virginia); Aidong Zhang (University of Virginia)
  • Accelerating Set Intersections over Graphs by Reducing-Merging
    Authors: Weiguo Zheng (Fudan University)*; Yifan Yang (Fudan University); Chengzhi Piao (Chinese University of Hong Kong)
  • Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts
    Authors: Jaemin Yoo (Seoul National University)*; Yejun Soun (Seoul National University); Yong-chan Park (Seoul National University); U Kang (Seoul National University)
  • ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations
    Authors: Sheo Yon Jhin (Yonsei University); Minju Jo (Yonsei University); TaeYong Kong (Yonsei University); Jinsung Jeon (Yonsei university); Noseong Park (Yonsei University, Korea)*
  • Adaptive Transfer Learning on Graph Neural Networks
    Authors: Xueting Han (Microsoft Research Asia)*; Zhenhuan Huang (Beihang University, Microsoft Research Asia); Jing Bai (Microsoft); Bang An (University of Maryland, College Park; Microsoft Research Asia)
  • Aggregating Complex Annotations via Merging and Matching
    Authors: Alexander Braylan (University of Texas at Austin)*; Matthew Lease (University of Texas Austin)
  • Alphacore: Data Depth based Core Decomposition
    Authors: Friedhelm Victor (Technische Universität Berlin)*; Cuneyt G Akcora (University of Manitoba); Murat Kantarcioglu (UT Dallas); Yulia R. Gel (The University of Texas at Dallas)
  • An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs
    Authors: Shiju Li (Florida Institute of Technology); Xin Huang (Florida Institute of Technology); Chul-Ho Lee (Florida Institute of Technology)*
  • An Efficient Framework for Balancing Submodularity and Cost
    Authors: Sofia M Nikolakaki (Boston University)*; Alina Ene (Boston University); Evimaria Terzi (Boston University)
  • Analysis and Applications of Class-wise Robustness in Adversarial Training
    Authors: Qi Tian (Zhejiang Univerisity)*; Kun Kuang (Zhejiang University); Kelu Jiang (Zhejiang University); Fei Wu (Zhejiang University); Y Wang (Peking University)
  • Approximate Graph Propagation
    Authors: Hanzhi Wang (Renmin University of China); Mingguo He (Renmin University of China); Zhewei Wei (Renmin University of China)*; Sibo Wang (The Chinese University of Hong Kong); Ye Yuan ( Beijing Institute of Technology); Xiaoyong Du (Renmin University of China); Ji-Rong Wen (Renmin University of China)
  • MiniRocket: A Fast (Almost) Deterministic Transform for Time Series Classification
    Authors: Angus Dempster (Monash University)*; Daniel F Schmidt (Monash University); Geoffrey I Webb (Monash)
  • Are we really making much progress? Revisiting, benchmarking and refining the Heterogeneous Graph Neural Networks
    Authors: Qingsong Lv (Tsinghua University); Ming Ding (Tsinghua University); Qiang Liu (Institute of Information Engineering, Chinese Academy of Sciences); Yuxiang Chen (Tsinghua University); Wenzheng Feng (Tsinghua University); Siming He (University of Pennsylvania); Chang Zhou (Alibaba Group); Jian-guo Jiang (Institute of Information Engineering , Chinese Academy of Sciences); Yuxiao Dong (Facebook AI); Jie Tang (Tsinghua University)*
  • Attentive Heterogeneous Graph Embedding for Job Mobility Prediction
    Authors: Le Zhang (University of Science and Technology of China)*; Ding Zhou (University of Science and Technology of China); Hengshu Zhu (Baidu Talent Intelligence Center, Baidu Inc.); Tong Xu (University of Science and Technology of China); Rui Zha ( University of Science and Technology of China); Enhong Chen (University of Science and Technology of China); Hui Xiong (Rutgers University)
  • Auction Design for Heterogeneous Bidders
    Authors: Negin Golrezaei (MIT)*; Max Lin (); Vahab Mirrokni (Google); Hamid Nazerzadeh (USC)
  • Auditing for Diversity Using Representative Examples
    Authors: Vijay Keswani (Yale University)*; L. Elisa Celis (Yale University)
  • Balancing Consistency and Disparity in Network Alignment
    Authors: Si Zhang (University of Illinois at Urbana-Champaign)*; Hanghang Tong (University of Illinois at Urbana-Champaign); Long Jin (Facebook); Yinglong Xia (Facebook); Yunsong Guo (Facebook)
  • Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages
    Authors: Cyrus Cousins (Brown University); Chloe Wohlgemuth (Amherst College); Matteo Riondato (Amherst College)*
  • BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment
    Authors: Meghana Madhyastha (Johns Hopkins University)*; Kunal Lillaney (Amazon); James Browne (United States Military Academy West Point); Joshua T Vogelstein (Johns Hopkins); Randal Burns (Johns Hopkins University)
  • Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
    Authors: Susheel Suresh (Purdue University)*; Vinith Budde (Amazon); Jennifer Neville (Purdue University); Pan Li (Purdue University); Jianzhu Ma (Purdue University)
  • Causal models for Real Time Bidding with repeated user interactions
    Authors: Martin Bompaire (Criteo)*; Benjamin Heymann (Criteo); Alexandre Gilotte (Criteo)
  • Causal Understanding of Fake News Dissemination on Social Media
    Authors: Lu Cheng (Arizona State University)*; Ruocheng Guo (Arizona State University); Kai Shu (Illinois Institute of Technology); Huan Liu (Arizona State University)
  • Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation
    Authors: Binghui Wang (Duke University)*; Jinyuan Jia (Duke University ); Xiaoyu Cao (Duke University); Neil Zhenqiang Gong (Duke University)
  • Choice Set Confounding in Discrete Choice
    Authors: Kiran Tomlinson (Cornell University)*; Johan Ugander (Stanford University); Austin R Benson (Cornell University)
  • Cluster-Reduce: Compressing Sketches for Distributed Data Streams
    Authors: Yikai Zhao (Peking University); Zheng Zhong (Peking University); Yuanpeng Li (Peking University); Yi Zhou (Peking University); Yifan Zhu (Dalian University of Technology); Li Chen (HUAWEI); Yi Wang (Southern University of Science and Technology); Tong Yang (Peking University)*
  • cM$^2$NE: Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment
    Authors: Hao Xiong (Shanghai Jiao Tong University)*; Junchi Yan (Shanghai Jiao Tong University); Li Pan (Shanghai Jiaotong University, China)
  • Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods
    Authors: Lukas Faber (ETH Zurich)*; Mohammad Amin Khashkhashi Moghaddam (ETH Zurich); Roger Wattenhofer (ETH Zurich)
  • Context-aware Outstanding Fact Mining from Knowledge Graphs
    Authors: Yueji Yang (National University of Singapore)*; Yuchen Li (Singapore Management University); Panagiotis Karras (Aarhus University); Anthony Tung (NUS)
  • ControlBurn: Feature Selection by Sparse Forests
    Authors: Brian Liu (Cornell University)*; Miaolan Xie (Cornell University); Madeleine Udell (Cornell University)
  • Controllable Generation from Pre-trained Language Models via Inverse Prompting
    Authors: Xu Zou (Tsinghua University)*; Da Yin (Tsinghua University); Qingyang Zhong (Tsinghua University); Hongxia Yang (Alibaba Group); Zhilin Yang (Recurrent AI); Jie Tang (Tsinghua University)
  • Coupled Graph ODE for Learning Interacting System Dynamics
    Authors: Zijie Huang (University of California, Los Angeles)*; Yizhou Sun (UCLA); Wei Wang (UCLA)
  • Cross-Network Learning with Partially Aligned Graph Convolutional Networks
    Authors: Meng Jiang (University of Notre Dame)*
  • Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
    Authors: Chuizheng Meng (University of Southern California)*; Sirisha Rambhatla (University of Southern California); Yan Liu (USC)
  • DARING: Differentiable Causal Discovery with Residual Independence
    Authors: Yue He (Tsinghua University)*; Peng Cui (Tsinghua University); Zheyan Shen (Tsinghua University); Renzhe Xu (Tsinghua University); Furui Liu (Huawei Noah's Ark Lab); Yong Jiang (Tsinghua University)
  • Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data
    Authors: Hengtong Zhang (University at Buffalo)*; Changxin Tian (Renmin University of China); Yaliang Li (Alibaba Group); Lu Su (SUNY Buffalo); Jing Gao (University at Buffalo); Nan Yang (The school of Information, Renmin University of China); Wayne Xin Zhao (Renmin University of China)
  • Data Poisoning Attacks Against Outcome Interpretations of Predictive Models
    Authors: Hengtong Zhang (University at Buffalo)*; Jing Gao (University at Buffalo); Lu Su (SUNY Buffalo)
  • Deconfounded Recommendation for Alleviating Bias Amplification
    Authors: Wenjie Wang (National University of Singapore)*; Fuli Feng (National University of Singapore); Xiangnan He (University of Science and Technology of China); Xiang Wang (National University of Singapore); Tat-Seng Chua (National university of Singapore)
  • Deep Clustering-based Fair Outlier Detection
    Authors: Hanyu Song (Brandeis University)*; Peizhao Li (Brandeis University); Hongfu Liu (Brandeis University)
  • Deep Learning Embeddings for Data Series Similarity Search
    Authors: Qitong Wang (University of Paris)*; Themis Palpanas (University of Paris)
  • Defending Privacy Against More Knowledgeable Membership Inference Attackers
    Authors: Yu Yin (Zhejiang University); Ke Chen (Zhejiang University); Lidan Shou (Zhejiang University)*; Gang Chen (Zhejiang University)
  • DeGNN: Improving Graph Neural Networks with Graph Decomposition
    Authors: Xupeng Miao (Peking University)*; Nezihe Merve Gürel (ETH Zürich); Wentao Zhang (Peking University); Zhichao Han (Ebay); Bo Li (UIUC); wei min (ebay); Susie Xi Susie Rao (ETH); Hansheng Ren (Univerisity of Chinese Academy of Sciences); Yinan Shan (Ebay); Yingxia Shao (BUPT); Yujie Wang (Peking University); Fan Wu (University of Illinois at Urbana-Champaign); HUI XUE (microsoft); Yaming Yang (MSRA); Zitao Zhang (eBay); Yang Zhao (Ebay); Shuai Zhang (ETH Zurich); Yujing Wang (MSRA); Bin Cui (Peking University); Ce Zhang (ETH)
  • DHS: Adaptive Memory Layout Organization of Sketch Slots for Fast and Accurate Data Stream Processing
    Authors: Bohan Zhao (Tsinghua University)*; Wenfei Wu (Tsinghua University); Boyu Tian (Tsinghua University); Xiang Li (Tsinghua University); Zhiyu Mei (Tsinghua University)
  • Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning
    Authors: Zhuo Liu (Ping An Healthcare Technology); Yanxuan Li (Ping An Healthcare Technology)*; Xingzhi Sun (Ping An Healthcare Technology); Fei Wang (Cornell University); Gang Hu (Ping An Healthcare Technology); Guotong Xie (Ping An Technology (Shenzhen) Co. Ltd.)
  • Differentiable Pattern Set Mining
    Authors: Jonas Fischer (Max Planck Institute for Informatics)*; Jilles Vreeken (CISPA Helmholtz Center for Information Security)
  • DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
    Authors: Yuhui Ding (The Hong Kong University of Science and Technology)*; Quanming Yao (4Paradigm); Huan Zhao (4Paradigm Inc.); Tong Zhang (Hong Kong University of Science and Technology)
  • Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs
    Authors: Qimai LI (The Hong Kong PolyU)*; Xiaotong Zhang (Dalian University of Technology); Han Liu (Dalian University of Technology); Quanyu Dai (Huawei Noah's Ark Lab); Xiao-Ming Wu (PolyU Hong Kong)
  • Dip-based Deep Embedded Clustering with k-Estimation
    Authors: Collin Leiber (LMU Munich)*; Lena Greta Marie Bauer (University of Vienna, ds:UniVie); Benjamin Schelling (University of Vienna); Christian Böhm (LMU Munich); Claudia Plant (University of Vienna, Austria)
  • Discrete Choice Models with Interpretable Context Effects
    Authors: Kiran Tomlinson (Cornell University)*; Austin R Benson (Cornell University)
  • Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning
    Authors: Menglin YANG (The Chinese University of Hong Kong)*; Min Zhou (Huawei Technologies co. ltd); Marcus Kalander (Huawei Noah's Ark Lab); Zengfeng Huang (Fudan University); Irwin King (The Chinese University of Hong Kong)
  • DisenQNet: Disentangled Representation Learning for Educational Questions
    Authors: Zhenya Huang (University of Science and Technology of China)*; Xin Lin (University of Science and Technology of China); Hao Wang (Anhui Province Key Lab of Big Data Analysis and Application, University of Science and Technology of China); Qi Liu (" University of Science and Technology of China, China"); Enhong Chen (University of Science and Technology of China); Jianhui Ma (University of Science and Technology of China); Yu Su (iFLYTEK Research); Wei Tong (University of Science and Technology of China)
  • Deep Generative model for Spatial Networks
    Authors: Xiaojie Guo (George Mason University)*; Yuanqi Du (George Mason University); Zhao Liang (Emory University)
  • Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment
    Authors: Denghui Zhang (Rutgers University)*; Zixuan Yuan (Rutgers University); Yanchi Liu (NEC Labs America); Hao Liu (Hong Kong University of Science and Technology); Fuzhen Zhuang (Beihang University); Hui Xiong (Rutgers University); Haifeng Chen (NEC Labs America)
  • Dual Graph enhanced Embedding Neural Network for CTR Prediction
    Authors: Wei Guo (Huawei Noah's Ark Lab)*; Rong Su (Huawei Noah's Ark Lab); Renhao Tan (Huawei Noah's Ark Lab); Huifeng Guo (Huawei Noah's Ark Lab); Yingxue Zhang (Huawei Technologies Canada); Zhirong Liu (Huawei Noah's Ark Lab); Ruiming Tang (Huawei Noah's Ark Lab); Xiuqiang He (Huawei Noah's Ark Lab)
  • Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting
    Authors: Liangzhe Han (Beihang University)*; Bowen Du (Beihang Univeristy); Leilei Sun (Beihang Univerisity); Yanjie Fu (University of Central Florida); Hui Xiong (the State University of New Jersey); Yisheng Lv (Institute of Automation, Chinese Academy of Sciences)
  • Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
    Authors: Maya Okawa (NTT)*; Tomoharu Iwata (NTT); Yusuke Tanaka (NTT); Hiroyuki Toda (NTT Corporation); Takeshi Kurashima (NTT Corporation); Hisashi Kashima (Kyoto University)
  • Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization
    Authors: Xuejun Liao (SAS Institute Inc. )*; Patrick Koch (SAS Institute Inc.); Shunping Huang (SAS Institute Inc.); Yan Xu (SAS Institute Inc.)
  • Efficient Data-specific Model Search for Collaborative Filtering
    Authors: Chen Gao (Tsinghua University)*; Quanming Yao (4Paradigm); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University)
  • Efficient Incremental Computation of Aggregations over Sliding Windows
    Authors: Chao Zhang (LIRIS, CNRS, University Lyon 1)*; Reza Akbarinia (INRIA); Farouk Toumani (UCA, LIMOS)
  • Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings
    Authors: Bowen Yuan (National Taiwan University)*; Yu-Sheng Li (National Taiwan University ); Pengrui Quan (University of California, Los Angeles); Chih-Jen Lin (National Taiwan University)
  • ELITE : Robust Deep Anomaly Detection with Meta Gradient
    Authors: Huayi Zhang (WPI); Lei Cao (MIT)*; Peter VanNostrand (WPI); Samuel Madden (MIT); Elke A Rundensteiner (WPI)
  • Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks
    Authors: Hang Yin (Worcestor Polytechnic Institute)*; John Lee (WPI); Xiangnan Kong (Worcester Polytechnic Institute); Thomas Hartvigsen (Worcester Polytechnic Institute); Sihong Xie (Lehigh University)
  • Enhancing SVMs with Problem Context Aware Pipeline
    Authors: Zeyi Wen (The University of Western Australia)*; Zhishang Zhou (South China University of Technology); Hanfeng Liu (The Chinese University of Hong Kong, Shenzhen); Bingsheng He (National University of Singapore); xia li (Guangdong University of Foreign Studies); Jian Chen ("South China University of Technology, China")
  • Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
    Authors: Qingkai Zeng (University of Notre Dame)*; Jinfeng Lin (University of Notre Dame); Wenhao Yu (University of Notre Dame); Jane Cleland-Huang (University of Notre Dame); Meng Jiang (University of Notre Dame)
  • Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets
    Authors: Praveen Venkateswaran (UC Irvine)*; Vinod Muthusamy (IBM Research); Vatche Isahagian (IBM Research); Nalini Venkatasubramanian (University of California, Irvine)
  • Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning
    Authors: ZHENG WANG (Nanyang Technological University)*; Cheng Long (Nanyang Technological University); Gao Cong (Nanyang Technological Univesity); Qianru Zhang (The University of Hong Kong)
  • Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
    Authors: Weishen Pan (Tsinghua University)*; Sen Cui (Department of Automation, Tsinghua University); Jiang Bian (University of Florida); Changshui Zhang (Tsinghua University); Fei Wang (Cornell University)
  • Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
    Authors: Hao Xue (RMIT University)*; Flora D. Salim (RMIT University)
  • Fairness-aware Online Meta-learning
    Authors: Chen Zhao (UTDallas)*; Feng Chen (UT Dallas); Bhavani Thuraisingham (The University of Texas at Dallas)
  • Fast and Accurate Partial Fourier Transform for Time Series Data
    Authors: Yong-chan Park (Seoul National University)*; Jun-gi Jang (Seoul National University); U Kang (Seoul National University)
  • Fast and Memory-Efficient Tucker decomposition for Answering Diverse Time Range Queries
    Authors: Jun-gi Jang (Seoul National University); U Kang (Seoul National University)*
  • Fast One-class Classification using Class Boundary-preserving Random Projections
    Authors: Arindam Bhattacharya (IIT DELHI)*; Sumanth Varambally (IIT Delhi); Amitabha Bagchi (IIT Delhi); Srikanta Bedathur (IIT Delhi)
  • Fast Rotation Kernel Density Estimation over Data Streams
    Authors: Runze Lei (Xi'an Jiaotong University); Pinghui Wang (Xi'an Jiaotong University)*; Rundong Li (Xi'an Jiaotong University); Peng Jia (Xi'an Jiaotong University); Junzhou Zhao (Xi'an Jiaotong University); Xiaohong Guan (Xi'an Jiaotong University); Chao Deng (China Mobile Research Institute)
  • Faster and Generalized Temporal Triangle Counting, via Degeneracy Orderings
    Authors: Noujan Pashanasangi (University of California, Santa Cruz)*; Seshadhri C. (UCSC)
  • Fed^2: Feature-Aligned Federated Learning
    Authors: Fuxun Yu (George Mason University)*; Weishan Zhang (George Mason University); Zhuwei Qin (George Mason University); Zirui Xu (George Mason University); Di Wang (Microsoft); ChenChen Liu (University of Maryland, Baltimore County); Zhi Tian (George Mason University); Xiang Chen (George Mason University)
  • Federated Adversarial Debiasing
    Authors: Junyuan Hong (Michigan State University); Zhuangdi Zhu (Michigan State University); Shuyang Yu (Michigan State University); Zhangyang Wang (University of Texas at Austin); Hiroko H. Dodge (Oregon Health & Science University ); Jiayu Zhou (Michigan State University)*
  • FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data
    Authors: Xin-Chun Li (Nanjing University); De-Chuan Zhan (Nanjing University)*
  • Few-shot Neural Sequence Labeling via Meta Self-training
    Authors: Yaqing Wang (Purdue University)*; Subhabrata Mukherjee (Microsoft Research); Haoda Chu (Microsoft); Yuancheng Tu (Microsoft); Ming Wu (Microsoft); Jing Gao (University at Buffalo); Ahmed Awadallah (Microsoft)
  • Filtration Curves for Graph Classification
    Authors: Leslie O'Bray (ETH Zurich)*; Bastian A Rieck (MLCB, D-BSSE, ETH Zurich); Karsten Borgwardt (MLCB, D-BSSE, ETH Zurich)
  • Fine-Grained System Identification of Nonlinear Neural Circuits
    Authors: Dawna Bagherian (Caltech)*; James Gornet (California Institute of Technology); Jeremy Bernstein (Caltech); Yu-Li Ni (Caltech); Yisong Yue (Caltech); Markus Meister (Caltech)
  • Forecasting Interaction Order on Temporal Graphs
    Authors: Wenwen Xia (Shanghai Jiao Tong University)*; Yuchen Li (Singapore Management University); Jianwei Tian (State Grid Information Communication Company of Hunan); Shenghong Li (Shanghai Jiao Tong Uninversity)
  • Fruit-fly Inspired Neighborhood Encoding for Classification
    Authors: Parikshit Ram (IBM Research)*; Kaushik Sinha (Wichita State University)
  • Gaussian Process with Graph Convolutional Kernel for Relational Learning
    Authors: Jinyuan Fang (Sun Yat-sen University ); Shangsong Liang (Sun Yat-sen University)*; Zaiqiao Meng (University of Cambridge); Qiang Zhang (University College London)
  • Generalized Zero-Shot Extreme Multi-label Learning
    Authors: Nilesh Gupta (Microsoft Research India)*; Sakina Bohra (Microsoft); Yashoteja Prabhu (Microsoft Research); Saurabh Purohit (Microsoft Research); Manik Varma (Microsoft Research)
  • Geometric Graph Representation Learning on Protein Structure Prediction
    Authors: Tian Xia (Auburn University)*; Wei-Shinn Ku (Auburn University)
  • Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs
    Authors: Jialin Dong (University of California, Los Angeles)*; Da Zheng (Amazon); Lin Yang (UCLA); George Karypis (Amazon)
  • Graph Adversarial Attack via Rewiring
    Authors: Yao Ma (Michigan State University)*; Suhang Wang (Pennsylvania State University); Tyler Derr (Vanderbilt University); Lingfei Wu (IBM Research); Jiliang Tang (Michigan State University)
  • Graph Deep Factor Model for Cloud Utilization Forecasting
    Authors: Hongjie Chen (Virginia Tech); Ryan A Rossi (Adobe Research); Kanak Mahadik (Adobe Research); Sungchul Kim (Adobe); Hoda Eldardiry (Virginia Tech)*
  • Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
    Authors: Zhixuan Chu (University of Georgia)*; Stephen Rathbun (University of Georgia); Sheng Li (University of Georgia)
  • Graph Similarity Description: How Are These Graphs Similar?
    Authors: Corinna Coupette (Max Planck Institute for Informatics)*; Jilles Vreeken (CISPA Helmholtz Center for Information Security)
  • Graph Summarization with Controlled Utility Loss
    Authors: Mahdi Hajiabadi (University of Victoria); Jasbir Singh (University of Victoria); Venkatesh Srinivasan (university of victoria)*; Alex Thomo (University of Victoria)
  • H$^2$MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks
    Authors: Zhen Zhang (Zhejiang University)*; Jiajun Bu (Zhejiang University); Martin Ester (Simon Fraser University); Zhao Li (Alibaba Group); Chengwei Yao (Zhejiang University); Zhi Yu (Zhejiang University); Can Wang (Zhejiang University)
  • HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks
    Authors: Qingqing Long (Peking University)*; Lingjun Xu (Peking University); Zheng Fang (pku); Guojie Song (Peking University)
  • HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem
    Authors: Yun Hua (East China Normal University); Xiangfeng Wang (East China Normal University)*; Bo Jin (East China Normal University/Shanghai Research Institute for Intelligent Autonomous Systems); Wenhao Li (East China Normal University); Junchi Yan (Shanghai Jiao Tong University); Xiaofeng He (East China Normal University); Hongyuan Zha (GEORGIA TECH)
  • How Interpretable and Trustworthy are GAMs?
    Authors: Chun-Hao Chang (University of Toronto)*; Sarah Tan (Cornell University); Ben Lengerich (MIT); Anna Goldenberg (); Rich Caruana (Microsoft Research)
  • Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours
    Authors: Karishma Sharma (University of Southern California)*; yizhou zhang (University of Southern California); Emilio Ferrara (University of Southern California, USA); Yan Liu (USC)
  • ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks
    Authors: Liang Qu (Southern University of Science and Technology)*; Huaisheng Zhu (Southern University of Science and Technology ); Ruiqi Zheng (Southern University of Science and Technology ); Yuhui Shi (Southern University of Science and Technology ); Hongzhi Yin (The University of Queensland)
  • Improving Learning from Crowds via Generative Augmentation
    Authors: Zhendong Chu (University of Virginia)*; Hongning Wang (University of Virginia)
  • Indirect Invisible Poisoning Attacks on Domain Adaptation
    Authors: Jun Wu (University of Illinois at Urbana–Champaign)*; Jingrui He (University of Illinois at Urbana-Champaign)
  • Individual Fairness for Graph Neural Networks: A Ranking based Approach
    Authors: Yushun Dong (University of Virginia)*; Jian Kang (University of Illinois at Urbana-Champaign); Hanghang Tong (University of Illinois at Urbana-Champaign); Jundong Li (University of Virginia)
  • Individual Treatment Prescription Effect Estimation in a Low Compliance Setting
    Authors: Thibaud Rahier (Criteo AI Lab)*; Amélie Héliou (Criteo AI Lab); Matthieu Martin (Criteo AI Lab); Christophe Renaudin (Criteo); Eustache Diemert (Criteo AI Lab)
  • Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems
    Authors: Yinan Zhang (School of Computer Science and Engineering, Nanyang Technological University)*; Boyang Li (Nanyang Technological University); Yong Liu (Nanyang Technological University); Hao Wang (Alibaba Group); Chunyan Miao (NTU)
  • Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes
    Authors: Sohee Cho (KAIST)*; Wonjoon Chang (KAIST); GINKYENG LEE (UNIST-SAIL); Jaesik Choi (KAIST)
  • JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework
    Authors: Ding Wang (Michigan State University)*; Pang-Ning Tan (MSU)
  • Joint Graph Embedding and Alignment with Spectral Pivot
    Authors: Paris Karakasis (University of Virginia)*; Aritra Konar (University of Virginia); Nicholas D Sidiropoulos (University of Virginia)
  • Joint Optimization of Known and Unknown Anomaly Detection
    Authors: Guansong Pang (University of Adelaide)*; Anton van den Hengel (University of Adelaide); Chunhua Shen (University of Adelaide); Longbing Cao (University of Technology Sydney)
  • Knowledge is Power: Hierarchical-Knowledge Embedded Meta-Learning for Visual Reasoning in Artistic Domains
    Authors: Wenbo Zheng (Xi'an Jiaotong University); Lan Yan (Chinese Academy of Sciences); Chao Gou (Sun Yat-Sen University); Feiyue Wang (Chinese Academy of Sciences)*
  • Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification
    Authors: Jiawen Zhang (University of Chinese Academy of Sciences); Jiaqi Zhu (Institute of Software, Chinese Academy of Sciences)*; Yi Yang (Institute of Software, Chinese Academy of Science); Wandong Shi (University of Chinese Academy of Sciences); Congcong Zhang (University of Chinese Academy of Sciences); Hongan Wang (Institute of Software, Chinese Academy of Sciences)
  • Labeled Data Generation with Inexact Supervision
    Authors: Enyan Dai (The Pennsylvania State University); Kai Shu (Illinois Institute of Technology); Yiwei Sun (Penn State University); Suhang Wang (Pennsylvania State University)*
  • Large-Scale Data-Driven Airline Market Influence Maximization
    Authors: Duanshun Li (University of Alberta); Jing Liu (Walmart Research Lab.); Jinsung Jeon (Yonsei university); Seoyoung Hong (Kyunghee University); Thai Le (The Pennsylvania State University); Noseong Park (Yonsei University, Korea)*; Dongwon Lee (Penn State University)
  • Large-Scale Subspace Clustering via k-Factorization
    Authors: Jicong Fan (The Chinese University of Hong Kong (Shenzhen))*
  • LawyerPAN: A Proficiency Assessment Network for Trial Lawyers
    Authors: Yanqing An (University of Science and Technology of China)*; Qi Liu (" University of Science and Technology of China, China"); Han Wu ( University of Science and Technology of China); Kai Zhang (University of Science and Technology of China); Linan Yue (University of Science and Technology of China); Mingyue Cheng (University of Science and Technology of China); Hongke Zhao (Tianjin University); Senchao Yuan (University of Science and Technology of China); Enhong Chen (University of Science and Technology of China)
  • Learning How to Propagate Messages in Graph Neural Networks
    Authors: Teng Xiao (Westlake University)*; Zhengyu Chen (Westlake University); Donglin Wang (Westlake University); Suhang Wang (Pennsylvania State University)
  • Learning Based Proximity Matrix Factorization for Node Embedding
    Authors: Xingyi Zhang (The Chinese University of Hong Kong); Kun Xie (The Chinese University of Hong Kong ); Sibo Wang (The Chinese University of Hong Kong)*; Zengfeng Huang (Fudan University)
  • Learning Elastic Embeddings for Customizing On-Device Recommenders
    Authors: Tong Chen (The University of Queensland)*; Hongzhi Yin (The University of Queensland); Yujia Zheng (University of Electronic Science and Technology of China); Zi Huang (University of Queensland); Yang Wang (Hefei University of Technology); Meng Wang (Hefei University of Technology)
  • Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment
    Authors: Lan-Zhe Guo (Nanjing University)*; Zhi Zhou (Nanjing University); Jie-Jing Shao (Nanjing University); QI ZHANG (DIDI); Feng Kuang (Didi Chuxing); Gaole Li (Beijing Xiaoju Technology Co, Ltd.); zhangxun liu (Didi Chuxing); Guobin Wu (Didichuxing Inc.); Nan Ma (Didi Chuxing); Qun (Tracy) Li (DiDi); Yu-Feng Li (Nanjing University)
  • Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
    Authors: Hengxu Lin (Microsoft Research); Dong Zhou (Microsoft Research)*; Weiqing Liu (Microsoft Research); Jiang Bian (Microsoft Research)
  • Learning Process-consistent Knowledge Tracing
    Authors: Shuanghong Shen (University of Science and Technology of China)*; Qi Liu (" University of Science and Technology of China, China"); Enhong Chen (University of Science and Technology of China); Zhenya Huang (University of Science and Technology of China); Wei Huang (University of Science and Technology of China); Yu Yin (University of Science and Technology of China); Yu Su (iFLYTEK Research); Shijin WANG (iFLYTEK CO., LTD)
  • Learning to Embed Categorical Features without Embedding Tables for Recommendation
    Authors: Wang-Cheng Kang (Google)*; Zhiyuan Cheng (Google); Tiansheng Yao (Google); Xinyang Yi (Google); Ting Chen (Google); Lichan Hong (Google); Ed H. Chi (Google)
  • Learning to Recommend Visualizations from Data
    Authors: Xin Qian (University of Maryland, College Park)*; Ryan A. Rossi (Adobe Research); Fan Du (Adobe Research); Sungchul Kim (Adobe); Eunyee Koh (Adobe); Sana Malik (Adobe); Tak Yeon Lee (Adobe Research); Joel Chan (University of Maryland)
  • Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion
    Authors: Jaehun Jung (Seoul National University)*; Jinhong Jung (Jeonbuk National University); U Kang (Seoul National University)
  • Leveraging Latent Features for Local Explanations
    Authors: Ronny Luss (IBM Research)*; Pin-Yu Chen (IBM Research); Amit Dhurandhar (IBM Research); Prasanna Sattigeri (IBM Research); Yunfeng Zhang (IBM Research); Karthikeyan Shanmugam (IBM Research NY); Chun-Chen Tu (University of Michigan)
  • Local Algorithms for Estimating Effective Resistance
    Authors: Daniel Lopatta (University of Sheffield); Pan Peng (University of Sheffield)*; Yuichi Yoshida (NII); Gramoz Goranci (University of Toronto)
  • MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling
    Authors: Giulia Preti (ISI Foundation); Gianmarco De Francisci Morales (ISI Foundation)*; Matteo Riondato (Amherst College)
  • MapEmbed: Perfect Hashing with High Load Factor and Fast Update
    Authors: Yuhan Wu (Peking University)*; Zirui Liu (Peking University); Xiang Yu (Peking University); Jie Gui (Peking University); Haochen Gan (Peking University); Yuhao Han (National University of Defense Technology); Tao Li (National University of Defense Technology); Ori Rottenstreich (Technion); Tong Yang (Peking University)
  • MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning
    Authors: Huimin Ren (Worcester Polytechnic Institute)*; Sijie Ruan (Xidian University); Yanhua Li ("Worcester Polytechnic Institute, USA"); Jie Bao (JD Finance); Chuishi Meng (JD Intelligent Cities Research); Ruiyuan Li (Xidian University); Yu Zheng (JD Finance)
  • Maximizing Influence of Leaders in Social Networks
    Authors:Xiaotian Zhou (Fudan University); Zhongzhi Zhang (Fudan University)*
  • Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints
    Authors: David Garcia-Soriano (ISI Foundation, Turin ); Francesco Bonchi (ISI Foundation, Turin)*
  • Meaning Error Rate: ASR domain-specific metric framework
    Authors:Ludmila Gordeeva (Yandex); Vasily Ershov (Yandex); Oleg Gulyaev (Yandex); Igor Kuralenok (Yandex)*
  • Metric Learning via Penalized Optimization
    Authors: Hao Huang (Wuhan University)*; Yanan Peng (Wuhan University); Ting Gan (Wuhan University); Weiping Tu (Wuhan University); Ruiting Zhou (Wuhan University); Sai Wu (Zhejiang Univ)
  • Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
    Authors: Tianbo Li (Nanyang Technological University)*; Tianze Luo (Nanyang Technological University); Yiping Ke (Nanyang Technological University); Sinno Pan (NTU, Singapore)
  • MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems
    Authors: Tinglin Huang (Zhejiang University)*; Yuxiao Dong (Facebook AI); Ming Ding (Tsinghua University); Zhen Yang (Tsinghua University); Wenzheng Feng (Tsinghua University); Xinyu Wang (Zhejiang University); Jie Tang (Tsinghua University)
  • Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
    Authors: Tianxin Wei (University of Science and Technology of China)*; Fuli Feng (National University of Singapore); Jiawei Chen (University of Science and Technology of China); Ziwei Wu (University of Science and Technology of China); Jinfeng Yi (JD AI Research); Xiangnan He (University of Science and Technology of China)
  • Model-Based Counterfactual Synthesizer for Interpretation
    Authors: Fan Yang (Texas A&M University)*; Sahan Alva (Texas A&M University); Jiahao Chen (JPMorgan AI Research); Xia Hu (Texas A&M University)
  • Modeling Context-aware Features for Cognitive Diagnosis in Student Learning
    Authors: Yuqiang Zhou (University of Science and Technology of China)*; Qi Liu (" University of Science and Technology of China, China"); Jinze Wu (University of Science and Technology of China); Fei Wang (University of Science and Technology of China); Zhenya Huang (University of Science and Technology of China); Wei Tong (University of Science and Technology of China); Hui Xiong (the State University of New Jersey); Enhong Chen (University of Science and Technology of China); Jianhui Ma (University of Science and Technology of China)
  • MTC: Multiresolution Tensor Completion from Partial and Coarse Observations
    Authors: Chaoqi Yang (University of Illinois at Urbana-Champaign); Navjot Singh (UIUC); Cao Xiao (Amplitude); Edgar Solomonik (UIUC); Jimeng Sun (UIUC)*
  • Multi-facet Contextual Bandits: A Neural Network Perspective
    Authors: Yikun Ban (University of Illinois at Urbana-Champaign)*; Jingrui He (University of Illinois at Urbana-Champaign); Curtiss Cook (Mayo Clinic)
  • Multi-graph Multi-label Learning with Dual-granularity Labeling
    Authors: Yejiang Wang (Northeastern University); Yuhai Zhao (Northeastern University)*; Zhengkui Wang (Singapore Institute of Technology); Chengqi Zhang (University of Technology Sydney)
  • Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control
    Authors: Runzhe Wan (North Carolina State University)*; Xinyu Zhang (North Carolina State University); Rui Song (North Carolina State University)
  • Multi-Task Learning via Generalized Tensor Trace Norm
    Authors: Yi Zhang (Southern University of Science and Technology); Yu Zhang (Southern University of Science and Technology)*; Wei Wang (Nanjing University)
  • Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection
    Authors: Bingyu Liu (Beijing University of Posts and Telecommunications)*; Yuhong Guo (Carleton University); Jianan Jiang (DiDi); Jian Tang (AI Innovation Center, Midea Group); Weihong Deng (Beijing University of Posts and Telecommunications)
  • Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation
    Authors: Jiawei Zheng (South China University of Technology); Qianli Ma (South China University of Technology)*; Hao Gu (Tencent Technology (SZ) Co., Ltd.); Zhenjing Zheng (South China University of Technology)
  • Multiple-Instance Learning from Similar and Dissimilar Bags
    Authors: Lei Feng (College of Computer Science, Chongqing University)*; Senlin Shu (Southwest University, Chongqing, China); Yuzhou Cao (China Agricultural University); Lue Tao (Nanjing University of Aeronautics and Astronautics); Hongxin Wei (Nanyang Technological University); Tao Xiang (Chongqing University); Bo An (Nanyang Technological University); Gang Niu (RIKEN)
  • MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches
    Authors: Mike A Merrill (University of Washington)*; Ge Zhang (Peking University); Tim Althoff ()
  • Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
    Authors: Huiqi Deng (Sun Yat-sen University)*; Na Zou (Texas A&M University); Weifu Chen (Sun Yat-sen University); Guocan Feng (Sun Yat-sen University); Mengnan Du (Texas A&M University); Xia Hu (Texas A&M University)
  • NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
    Authors: Jin Xu (Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University)*; Xu Tan (Microsoft Research Asia); Renqian Luo (USTC); Kaitao Song (Nanjing University of Science and Technology); Jian Li (" Tsinghua University, China"); Tao Qin (Microsoft Research Asia); Tie-Yan Liu (Microsoft Research)
  • Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance
    Authors: Neil G Marchant (University of Melbourne)*; Benjamin Rubinstein (University of Melbourne)
  • Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning
    Authors: Huiling qin (Xidian University)*; Xianyuan Zhan (JD Intelligent Cities Research); Yuanxun Li (Sun Yat-sen University, China); Xiaodu Yang (Southwest Jiaotong University); Yu Zheng (JD Finance)
  • Neural-Answering Logical Queries on Knowledge Graphs
    Authors: Lihui Liu (University of Illinois at Urbana-Champaign)*; Boxin Du (University of Illinois at Urbana-Champaign); Heng Ji (University of Illinois at Urbana-Champaign); ChengXiang Zhai (University of Illinois at Urbana-Champaign); Hanghang Tong (University of Illinois at Urbana-Champaign)
  • NewsEmbed: Modeling News through Pre-trained Document Representations
    Authors: Tianqi Liu (Google); Jialu Liu (Google Research)*; Cong Yu (Google)
  • Norm Adjusted Proximity Graph for Fast Inner Product Retrieval
    Authors: Shulong Tan (Baidu Research)*; Zhaozhuo Xu (Rice University); Weijie Zhao (Baidu Research); Hongliang Fei (Baidu Research); Zhixin Zhou (Baidu Research); Ping Li (Baidu)
  • NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
    Authors: Enyan Dai (The Pennsylvania State University); Charu Aggarwal (IBM); Suhang Wang (Pennsylvania State University)*
  • Numerical Formula Recognition from Tables
    Authors: Qingping Yang (Chinese Academy of Sciences (CAS), Institute of Computing Technology)*; Yixuan Cao (Institute of Computing Technology, CAS); Hongwei Li (UCAS); Ping Luo (Chinese Academy of Sciences)
  • Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
    Authors: Ruohan Zhan (Stanford University)*; Vitor Hadad (); David Hirshberg (); Susan Athey (Stanford University)
  • On Breaking Truss-Based Communities
    Authors: Huiping Chen (King's College London); Alessio Conte (University of Pisa); Roberto Grossi (University of Pisa); Grigorios Loukides (King's College London)*; Solon Pissis (CWI); Michelle Sweering (CWI)
  • Online Additive Quantization
    Authors: Qi Liu (University of Science and Technology of China)*; Jin Zhang (University of Science and Technology of China); Defu Lian (University of Science and Technology of China); Yong Ge (The University of Arizona); Jianhui Ma (University of Science and Technology of China); Enhong Chen (University of Science and Technology of China)
  • PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks
    Authors: Junjie Chen (Temple University); Wendy Hui Wang (Stevens Institute of Technology); Hongchang Gao (Temple University); Xinghua Shi (Temple University)*
  • Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization
    Authors: Wei-Xuan Bao (Southeast University); Jun-Yi Hang (Southeast University); Min-Ling Zhang (Southeast University)*
  • Partial Multi-Label Learning with Meta Disambiguation
    Authors: Ming-Kun Xie (Nanjing University of Aeronautics and Astronautics); Feng Sun (Nanjing University of Aeronautics and Astronautics); Sheng-Jun Huang (Nanjing University of Aeronautics and Astronautics)*
  • PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
    Authors: Amin H Heyrani Nobari (MIT)*; Wei Chen (Siemens Technology); Faez Ahmed (MIT)
  • Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks
    Authors: Minji Yoon (Carnegie Mellon University)*; Théophile Gervet (Carnegie Mellon University); Baoxu Shi (LinkedIn); Sufeng Niu (Linkedin); Qi He (LinkedIn); Jaewon Yang (LINKEDIN CORPORATION)
  • PETGEN: Personalized Text Generation Attack on Deep User Sequence Classification Models
    Authors: Bing He (Georgia Institute of Technology)*; Dr.Mustaque Ahamad (Georgia Institute of Technology); Srijan Kumar (Georgia Institute of Technology)
  • Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability
    Authors: Haoran Li (Arizona State University)*; Yang Weng (Arizona State University)
  • PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics
    Authors: Arka Daw (Virginia Tech)*; M. Maruf (Virginia Tech); Anuj Karpatne (Virginia Tech)
  • Popularity Bias in Dynamic Recommendation
    Authors: Ziwei Zhu (Texas A&M University)*; Yun He (Texas A&M University); Xing Zhao (Texas A&M University); James Caverlee (Texas A&M University)
  • Pre-training on Large-Scale Heterogeneous Graph
    Authors: Xunqiang Jiang (Beijing University of Posts and Telecommunications)*; Tianrui Jia (Beijing University of Posts and Telecommunications); Chuan Shi (Beijing University of Posts and Telecommunications); Yuan Fang (Singapore Management University); Zhe Lin (Peng Cheng Laboratory); Hui Wang (Peng Cheng Laboratory)
  • Preference Amplification in Recommender Systems
    Authors: Dimitris Kalimeris (Harvard); Smriti Bhagat (Facebook)*; Shankar Kalyanaraman (Facebook); Udi Weinsberg (Facebook)
  • Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective
    Authors: Binghui Wang (Duke University)*; Jiayi Guo (Tsinghua University); Ang Li (Duke University); Yiran Chen (Duke University); Hai Li (Duke University)
  • Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery
    Authors: Tianfan Fu (Georgia Institute of Technology)*; Cao Xiao (Amplitude); Cheng Qian (IQVIA); Lucas Glass (IQVIA); Jimeng Sun (UIUC)
  • Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression
    Authors: Olivier Sprangers (University of Amsterdam)*; Sebastian Schelter (University of Amsterdam); Maarten de Rijke (University of Amsterdam & Ahold Delhaize)
  • Probabilistic Label Tree for Streaming Multi-Label Learning
    Authors: Tong Wei (Nanjing University)*; Jiang-Xin Shi (Nanjing University); Yu-Feng Li (Nanjing University)
  • ProgRPGAN: Progressive GAN for Route Planning
    Authors: Tao-yang Fu (Penn State University)*; Wang-Chien Lee (Pennsylvania State University, USA)
  • ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification
    Authors: Dawid Rymarczyk (Jagiellonian University)*; Łukasz Struski (Jagiellonian University); Jacek Tabor (Jagiellonian University); Bartosz Zieliński (Jagiellonian University)
  • A Broader Picture of Random-walk Based Graph Embedding
    Authors: Zexi Huang (University of California, Santa Barbara)*; Arlei Lopes da
  • Pruning-Aware Merging for Efficient Multitask Inference
    Authors: Xiaoxi He (ETH Zürich); Dawei Gao (Beihang University); Zimu Zhou (Singapore Management University)*; Yongxin Tong (Beihang University); Lothar Thiele (ETH Zürich)
  • PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network
    Authors: Yao Zhou (University of Illinois at Urbana-Champaign)*; Jianpeng Xu (Walmart Labs); Jun Wu (University of Illinois at Urbana–Champaign); Zeinab Taghavi Nasrabadi (Walmart Labs); Evren Korpeoglu (Walmart Labs); Kannan Achan (Walmart Labs); Jingrui He (University of Illinois at Urbana-Champaign)
  • Q-Learning Lagrange Policies for Multi-action Restless Bandits
    Authors: Jackson Killian (Harvard University)*; Arpita Biswas (Harvard University); Sanket Shah (Harvard University); Milind Tambe (Harvard University)
  • Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application
    Authors: Mingze Zhong (College of Computer Science, Chongqing University); Hong Xie (College of Computer Science, Chongqing University)*; Qingsheng Zhu (Chongqing University)
  • Quantifying Uncertainty in Deep Spatiotemporal Forecasting
    Authors: Dongxia Wu (University of California, San Diego)*; Liyao Gao (University of Washington); Matteo Chinazzi (Northeastern University); Xinyue Xiong (Northeastern University); Alessandro Vespignani (Northeastern University); Yian Ma (UCSD); Rose Yu (University of California, San Diego)
  • Redescription Model Mining
    Authors: Felix I Stamm (RWTH Aachen University)*; Martin Becker (Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford University); Markus Strohmaier (RWTH Aachen University); Florian Lemmerich (RWTH Aachen University)
  • Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
    Authors: Danyang Liu (USTC); Jianxun Lian (Microsoft Research Asia)*; Zheng Liu (MSRA); Xiting Wang (Microsoft Research Asia); Guangzhong Sun (School of Computer Science and Technology, University of Science and Technology of China); Xing Xie (Microsoft Research Asia)
  • Relational Message Passing for Knowledge Graph Completion
    Authors: Hongwei Wang (Stanford University)*; Hongyu Ren (Stanford University); Jure Leskovec (Stanford University)
  • Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent
    Authors: Depeng Xu (University of Arkansas); Wei Du (University of Arkansas); Xintao Wu (University of Arkansas)*
  • Representation Learning of Multivariate Time Series using a Transformer Framework
    Authors: George Zerveas (Brown University)*; Srideepika Jayaraman (IBM); Dhaval Patel (IBM TJ Watson Research Center); Anuradha Bhamidipaty (IBM Watson Research Center); Carsten Eickhoff (Brown University)
  • Representation Learning on Knowledge Graphs for Node Importance Estimation
    Authors: Han Huang (Beihang University)*; Leilei Sun (Beihang Univerisity); Bowen Du (Beihang Univeristy); Chuanren Liu (The University of Tennessee Knoxville); Hui Xiong (the State University of New Jersey); Weifeng Lv (Beihang University)
  • Retrieval & Interaction Machine for Tabular Data Prediction
    Authors: Jiarui Qin ( Shanghai Jiao Tong University)*; Weinan Zhang (Shanghai Jiao Tong University); Rong Su (Huawei Noah's Ark Lab); Zhirong Liu (Huawei Noah's Ark Lab); Weiwen Liu (Huawei Noah's Ark Lab); Ruiming Tang (Huawei Noah's Ark Lab); Xiuqiang He (Huawei Noah's Ark Lab); Yong Yu (Shanghai Jiao Tong University)
  • Robust Learning by Self-Transition for Handling Noisy Labels
    Authors: Hwanjun Song (KAIST); Minseok Kim (KAIST); Dongmin Park (KAIST); Yooju Shin (KAIST); Jae-Gil Lee (KAIST)*
  • ROD: Reception-aware Online Distillation for Sparse Graphs
    Authors: Wentao Zhang (Peking University)*; Jiang Yuezihan (Peking University); Yang Li (Peking University); Zeang Sheng (Peking University); Yu Shen (Peking University); Xupeng Miao (Peking University); Liang Wang (Alibaba group); Zhi Yang (Peking University); Bin Cui (Peking University)
  • S-LIME: Stabilized-LIME for Model Explanation
    Authors: Zhengze Zhou (Cornell University )*; Giles Hooker (Cornell University); Fei Wang (Cornell University)
  • Scalable Agglomerative Clustering
    Authors: Nicholas Monath (University of Massachusetts Amherst)*; Kumar Avinava Dubey (Google Research); Guru Guruganesh (Google); Manzil Zaheer (Google Research); Amr Ahmed (Google); Andrew McCallum (Univ of Massachusetts Amherst); Gokhan Mergen (Google); Marc Najork (Google); Mert Terzihan (Google); Bryon Tjanaka (University of Southern California); Yuan Wang (Google Research); Yuchen Wu (Google Research)
  • Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups
    Authors: SHENGMING ZHANG (Rutgers University)*; Hao Zhong (ESCP Business School); Zixuan Yuan (Rutgers University); Hui Xiong (the State University of New Jersey)
  • Scaling Up Graph Neural Networks Via Graph Coarsening
    Authors: Zengfeng Huang (Fudan University); Shengzhong Zhang (Fudan University)*; Chong Xi (Fudan University); Tang Liu (Fudan University); Min Zhou (Huawei Technologies co. ltd)
  • Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
    Authors: Xiao Wang (Beijing University of Posts and Telecommunications); Nian Liu (Beijing University of Posts and Telecommunications)*; Hui Han (Beijing University of Posts and Telecommunications); Chuan Shi (Beijing University of Posts and Telecommunications)
  • Semi-Supervised Deep Learning for Multiplex Networks
    Authors: Anasua Mitra (IIT G); Priyesh Vijayan (McGill university )*; Ranbir Sanasam (Indian Institute of Technology Guwahati); Diganta Goswami (Indian Institute of Technology Guwahati); Srinivasan Parthasarathy (Ohio State University); Balaraman Ravindran (Indian Institute of Technology, Madras)
  • Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
    Authors: Jiahui Li (Zhejiang University)*; Kun Kuang (Zhejiang University); Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen); Furui Liu (Huawei Noah's Ark Lab); Long Chen (Columbia University); Fei Wu (Zhejiang University); Jun Xiao (Zhejiang University)
  • Signed Graph Neural Network with Latent Groups
    Authors: Haoxin Liu (Tsinghua University); Ziwei Zhang (Tsinghua University)*; Peng Cui (Tsinghua University); Yafeng Zhang (Meituan); Qiang Cui (Meituan-Dianping Group, Beijing, China); Jiashuo Liu (Tsinghua University); Wenwu Zhu (Tsinghua University)
  • Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes
    Authors: Satya Narayan Shukla (University of Massachusetts Amherst)*; Anit Kumar Sahu (Amazon Alexa AI); Devin Willmott (Bosch Center for Artificial Intelligence); Zico Kolter (Carnegie Mellon University)
  • Socially-Aware Self-Supervised Tri-Training for Recommendation
    Authors: Junliang Yu (University of Queesland); Hongzhi Yin (The University of Queensland)*; Min Gao (Chongqing University); Xin Xia (The University of Queensland); Xiangliang Zhang (" King Abdullah University of Science and Technology, Saudi Arabia"); Quoc Viet Hung Nguyen (Griffith University)
  • Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
    Authors: Zheng Fang (pku)*; Qingqing Long (Peking University); Guojie Song (Peking University); Kunqing Xie (PKU)
  • Spectral Clustering of Attributed Multi-relational Graphs
    Authors: Ylli Sadikaj (University of Vienna); Yllka Velaj (University of Vienna)*; Sahar Behzadi Soheil (University of Vienna); Claudia Plant (University of Vienna, Austria)
  • ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting
    Authors: Jinliang Deng (University of Technology Sydney); Xiusi Chen (University of California, Los Angeles); Renhe Jiang (The University of Tokyo); Xuan Song (Southern University of Science and Technology); Ivor Tsang (University of Technology Sydney)*
  • Statistical models coupling allows for complex localmultivariate time series analysis
    Authors: Veronica Tozzo (Massachusets General Hospital - Harvard Medical School)*; Federico Ciech (University of Genoa); Davide Garbarino (University of Genoa); Alessandro Verri (University of Genova, Italy)
  • Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
    Authors: Shuangli Li (University of Science and Technology of China)*; Jingbo Zhou (Baidu Inc.); Tong Xu (University of Science and Technology of China); Liang Huang (Baidu Research); Fan Wang (Baidu, Inc.); Haoyi Xiong (Baidu Research); Weili Huang (Baidu Inc.); Hui Xiong (the State University of New Jersey); Dejing Dou (Baidu)
  • Subset Node Representation Learning over Large Dynamic Graphs
    Authors: Xingzhi Guo (Stony Brook University)*; Baojian Zhou (Stony Brook University); Steven Skiena (Stony Brook University)
  • Sylvester Tensor Equation for Multi-Way Association
    Authors: Boxin Du (University of Illinois at Urbana-Champaign)*; Lihui Liu (University of Illinois at Urbana-Champaign); Hanghang Tong (University of Illinois at Urbana-Champaign)
  • Table2Charts: Recommending Charts by Learning Shared Table Representations
    Authors: Mengyu Zhou (Microsoft Research)*; Qingtao Li (Peking University); Xinyi He (Xi’an Jiaotong University); Yuejiang Li (Tsinghua University); Yibo Liu (New York University); Wei Ji (Microsoft); Shi Han (Microsoft Research); Yining Chen (Microsoft); Daxin Jiang (Microsoft, Beijing, China); Dongmei Zhang (Microsoft Research Asia)
  • TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
    Authors: Lun Du (Microsoft Research)*; Fei Gao (Beijing Normal University); Xu Chen (Peking University); Ran Jia (Microsoft Research); Junshan Wang (Peking University); Jiang Zhang (School of Systems Science, Beijing Normal University); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)
  • Tail-GNN: Tail-Node Graph Neural Networks
    Authors: Zemin Liu (Singapore Management University)*; Kien Nguyen (Singapore Management University); Yuan Fang (Singapore Management University)
  • TDGIA: Effective Injection Attacks on Graph Neural Networks
    Authors: Xu Zou (Tsinghua University)*; Qinkai Zheng (Shanghai Jiao Tong University); Yuxiao Dong (Facebook AI); Xinyu Guan (biendata); Evgeny Kharlamov (Bosch Center for Artificial Intelligence); Jialiang Lu (Shanghai Jiaotong University); Jie Tang (Tsinghua University)
  • Temporal Biased Streaming Submodular Optimization
    Authors: Junzhou Zhao (Xi'an Jiaotong University)*; Pinghui Wang (Xi'an Jiaotong University); Chao Deng (China Mobile Research Institute); Jing Tao (Xi'an Jiaotong University)
  • Temporal Graph Signal Decomposition
    Authors: Maxwell J McNeil (University at Albany SUNY)*; Lin Zhang (University at Albany -- State Univ. of NY); Petko Bogdanov (University at Albany-SUNY)
  • The Generalized Mean Densest Subgraph Problem
    Authors: Nate Veldt (Cornell University)*; Austin R Benson (Cornell University); Jon Kleinberg (Cornell)
  • TopNet: Learning from Neural Topic Model to Generate Long Stories
    Authors: Yazheng Yang (Zhejiang University)*; Boyuan Pan (Zhejiang University); Deng Cai (Zhejiang University); Huan Sun (Ohio State University)
  • Topology Distillation for Recommender System
    Authors: SeongKu Kang (POSTECH)*; Junyoung Hwang (POSTECH); Wonbin Kweon (POSTECH); Hwanjo Yu (POSTECH)
  • Towards a Better Understanding of Linear Models for Recommendation
    Authors: Ruoming Jin (Kent State University)*; Dong Li (Kent State University); Jing Gao (iLambda); Zhi Liu (iLambda); Li Chen (iLambda); Yang Zhou (Auburn University)
  • Towards Computing A Near-Maximum Weighted Independent Set on Massive Graphs
    Authors: Jiewei Gu (Fudan University); Weiguo Zheng (Fudan University)*; Yuzheng Cai (Fudan University); Peng Peng (Hunan University)
  • Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility
    Authors: Sen Cui (Department of Automation, Tsinghua University)*; Weishen Pan (Tsinghua University); Changshui Zhang (Tsinghua University); Fei Wang (Cornell University)
  • Towards Robust Prediction on Tail Labels
    Authors: Tong Wei (Nanjing University)*; Wei-Wei Tu (4Paradigm Inc.); Yu-Feng Li (Nanjing University); Guo-Ping Yang (Huawei)
  • TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction
    Authors: Bo Hui (Auburn University)*; Da Yan (University of Alabama at Birmingham); Haiquan Chen (California State University, Sacramento); Wei-Shinn Ku (Auburn University)
  • Triangle-aware Spectral Sparsifiers and Community Detection
    Authors: Konstantinos Sotiropoulos (Boston University); Charalampos Tsourakakis (Boston University and ISI Foundation)*
  • Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems
    Authors: Chenwang Wu (University of Science and Technology of China)*; Defu Lian (University of Science and Technology of China); Yong Ge (The University of Arizona); Zhihao Zhu (University of Science and Technology of China); Enhong Chen (University of Science and Technology of China)
  • Triplet Attention: Rethinking the similarity in Transformers
    Authors: Haoyi Zhou (Beihang University)*; Shanghang Zhang (UC Berkeley); Jieqi Peng (Beihang University); Shuai Zhang (Beihang University); Jianxin Li (Beihang University)
  • TUTA: Tree-based Transformers for Generally Structured Table Pre-training
    Authors: Zhiruo Wang (Carnegie Mellon University); Haoyu Dong (Microsoft Research)*; Ran Jia (microsoft); Jia Li (Peking University); Zhiyi Fu (Peking University); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)
  • UCPhrase: Unsupervised Context-aware Quality Phrase Tagging
    Authors: Xiaotao Gu (University of Illinois at Urbana-Champaign); Zihan Wang (University of California San Diego); Zhenyu Bi (University of California San Diego); Yu Meng (University of Illinois at Urbana-Champaign); Liyuan Liu (UIUC); Jiawei Han (UIUC); Jingbo Shang (University of California, San Diego)*
  • Uncertainty-Aware Reliable Text Classification
    Authors: Yibo Hu (University of Texas at Dallas)*; Latifur Khan (The university of Texas at Dallas)
  • Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning
    Authors: Yuyan Wang (Google Brain)*; Xuezhi Wang (Google); Alex Beutel (Google); Flavien Prost (Google); Jilin Chen (Google Brain); Ed H. Chi (Google)
  • Unsupervised Graph Alignment with Wasserstein Distance Discriminator
    Authors: Ji Gao (Universtity of Virginia)*; Xiao Huang (The Hong Kong Polytechnic University); Jundong Li (University of Virginia)
  • Uplift Modeling with Generalization Guarantees
    Authors: Artem Betlei (Criteo AI Lab)*; Eustache Diemert (Criteo AI Lab); Massih-Reza Amini (Université Grenoble Alpes)
  • Weakly Supervised Spatial Deep Learning based on Imperfect Training Labels with Location Errors
    Authors: Zhe Jiang (University of Alabama)*; Wenchong He (University of Alabama); Marcus Kriby (University of Alabama ); Sultan Asiri (University of Alabama ); Da Yan (University of Alabama at Birmingham)
  • What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors
    Authors: Yi-Shan Lin (Purdue University)*; Wen-Chuan Lee (Purdue University); Berkay Celik (Purdue University)
  • Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
    Authors: Sixiao Zhang (University of Technology Sydney); Hongxu Chen (University of Technology Sydney)*; Xiao Ming (ShanDong University); Lizhen Cui (ShanDong University); Hongzhi Yin (The University of Queensland); Guandong Xu (University of Technology Sydney, Australia)
  • Why Attentions May Not Be Interpretable?
    Authors: Bing Bai (Tencent)*; Jian Liang (Alibaba Group); Guanhua Zhang (Tencent); Hao Li (Tencent Inc); Kun Bai (Tencent Inc); Fei Wang (Cornell University)
  • Zero-shot Node Classification with Decomposed Graph Prototype Network
    Authors: Zheng Wang (University of Macau)*; Jialong Wang (University of Macau); Yuchen Guo (Tsinghua University); Zhiguo Gong (University of Macau)

Applied Data Science Track Papers

  • A Bayesian Approach to in-Game Win Probability in Soccer
    Authors: Pieter Robberechts (KU Leuven)*; Jan Van Haaren (KU Leuven); Jesse Davis (KU Leuven)
  • A Deep Learning Method for Route and Time Prediction in Food Delivery Service
    Authors: Chengliang Gao (Meituan)*; Fan Zhang (Meituan); Guanqun Wu (Meituan); Qiwan Hu (Meituan); Qiang Ru (Meituan); Jinghua Hao (Meituan); Renqing He (Meituan-Dianping Group); Zhizhao Sun (Meituan-Dianping Group)
  • A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions
    Authors: Hodaya Binyamini (Ben-Gurion University of The Negev); Ron Bitton (BGU)*; Masaki Inokuchi (NEC Corporation); Tomohiko Yagyu (NEC Corporation); Yuval Elovici (Ben-Gurion University of the Negev); Asaf Shabtai (Ben-Gurion University of the Negev)
  • A Multi-Graph Attributed Reinforcement Learning Based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem
    Authors: Fei Ni (Huazhong Unviersity of Science and Technology)*; Jianye Hao (Tianjin University); Jiawen Lu (Huawei); Xialiang Tong (Huawei); Mingxuan Yuan (Huawei); Jiahui Duan (Sichuan University); Yi Ma (Tianjin University); Kun He (Huazhong University of Science and Technology)
  • A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting
    Authors: Maryam Tabar (Pennsylvania State University)*; Jared Gluck (Pennsylvania State University); Anchit Goyal (Pennsylvania State University); Fei Jiang (Pennsylvania State University); Derek Morr (Pennsylvania State University); Annalyse Kehs (Pennsylvania State University); Dongwon Lee (Penn State University); David Hughes (Penn State ); Amulya Yadav (Pennsylvania State University)
  • A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
    Authors: Léa Briand (Deezer); Guillaume Salha-Galvan (Deezer / École polytechnique)*; Walid Bendada (Deezer); Mathieu Morlon (Deezer); Viet-Anh Tran (Deezer)
  • A Unified Solution to Constrained Bidding in Online Display Advertising
    Authors: YUE HE (Alibaba)*; Xiujun Chen (Alibaba); Di Wu (Alibaba); Junwei Pan (Yahoo Research); Qing Tan (Alibaba Group); Chuan Yu (Alibaba Group); Jian Xu (Alibaba Group); Xiaoqiang Zhu (Alibaba Group)
  • Addressing Non-Representative Surveys using Multiple Instance Learning
    Authors: Yaniv Katz (Similarweb)*; Oded Vainas (Similarweb)
  • Adversarial Attacks on Deep Models for Financial Transaction Records
    Authors: Matvey Morozov (Skoltech); Ivan Fursov (Skoltech); Alexey Zaytsev (Skoltech)*; Nina Kaploukhaya (Skoltech; IITP RAS); Elizaveta Kovtun (Skoltech); Rodrigo Rivera (Skoltech); Gleb Gusev (Sberbank); Dmitry Babaev (Sber AI lab); Ivan Kireev (Sberbank AI Lab); Evgeny Burnaev (Skoltech)
  • Adversarial Feature Translation for Multi-domain Recommendation
    Authors: Xiaobo Hao (WeChat Search Application Department, Tencent); Yudan Liu (WeChat Search Application Department, Tencent); Ruobing Xie (WeChat Search Application Department, Tencent)*; Kaikai Ge (WeChat Search Application Department, Tencent); Linyao Tang (WeChat Search Application Department, Tencent); Xu Zhang (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent)
  • AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
    Authors: Ningyu Zhang (Zhejiang University & AZFT Joint Lab for Knowledge Engine)*; JIA QiangHuai (AntGroup); Shumin Deng (Zhejiang University); Xiang Chen (Zhejiang University); Hongbin Ye (Zhejiang University); Hui Chen (Alibaba Group); Huaixiao Zhao (Alibaba Group); Gang Huang (Zhejiang Lab); Zhao Wang (Zhejiang University); Nengwei Hua (Alibaba Group); Huajun Chen (Zhejiang University)
  • AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce
    Authors: Xusheng Luo (Alibaba Group)*; Le Bo (Alibaba Group); Jinhang Wu (Alibaba Group); Lin Li (Alibaba Group); Yonghua Yang (Alibaba Group); Keping Yang (Alibaba Group)
  • All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting
    Authors: Aniruddha Adiga (Biocomplexity Institute & Initiative, University of Virginia)*; Lijing Wang (University of Virginia); Benjamin Hurt (University of Virginia); Akhil Sai Peddireddy (University of Virginia); Przemyslaw Porebski (University of Virginia); Srinivasan Venkatramanan (University of Virginia); Bryan Leroy Lewis (Biocomplexity Institute & Initiative, University of Virginia); Madhav Marathe (Biocomplexity Institute & Initiative, University of Virginia)
  • Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization
    Authors: Valerio Perrone (Amazon)*; Huibin Shen (Amazon); Aida Zolic (Amazon); Iaroslav Shcherbatyi (Amazon); Amr Ahmed (Amazon); Tanya Bansal (Amazon); Michele Donini (Amazon); Fela Winkelmolen (Amazon); Rodolphe Jenatton (Google); Jean Baptiste Faddoul (Amazon); Barbara Pogorzelska (Amazon); Miroslav Miladinovic (Amazon); Krishnaram Kenthapadi (Amazon); Matthias W Seeger (Amazon); Cedric Archambeau (AWS)
  • Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
    Authors: Michaela Hardt (Amazon)*; Xiaoguang Chen (Amazon); Xiaoyi Cheng (Amazon); Michele Donini (Amazon); Jason Gelman (Amazon); Satish Gollaprolu (Amazon); John He (Amazon); Pedro Larroy (Amazon); Xinyu Liu (Amazon); Nick McCarthy (Amazon); Ashish Rathi (Amazon); Scott Rees (Amazon); Ankit Siva (Amazon); ErhYuan Tsai ((former Amazon)); Keerthan Vasist (Amazon); Pinar Yilmaz (Amazon); Muhammad Bilal Zafar (Amazon Web Services); Sanjiv Das (Amazon); Kevin Haas (Amazon); Tyler Hill (Amazon); Krishnaram Kenthapadi (Amazon)
  • An Embedding Learning Framework for Numerical Features in CTR Prediction
    Authors: Huifeng Guo (Huawei Noah's Ark Lab)*; Bo Chen (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah's Ark Lab); Weinan Zhang (Shanghai Jiao Tong University); Zhenguo Li (Huawei Noah's Ark Lab); Xiuqiang He (Huawei Noah's Ark Lab)
  • An Experimental Study of Quantitative Evaluations on Saliency Methods
    Authors: Xiao-Hui Li (Huawei Technologies)*; Yuhan Shi (Huawei Technologies); Haoyang Li (Huawei Technologies); Wei Bai (Huawei Technologies); Caleb Chen Cao (Huawei Technologies); Lei Chen (Hong Kong University of Science and Technology)
  • Analysis of Faces in a Decade of US Cable TV News
    Authors: James Hong (Stanford University)*; Will Crichton (Stanford University); Haotian Zhang (Stanford University); Daniel Y Fu (Stanford University); Jacob Ritchie (Stanford University); Jeremy Barenholtz (Stanford University); Ben Hannel (Stanford University); Xinwei Yao (Stanford University); Michaela Murray (Stanford University); Geraldine Moriba (Brown Institute for Media Innovation); Maneesh Agrawala (Stanford University); Kayvon Fatahalian (Stanford)
  • Architecture and Operation Adaptive Network for Online Recommendations
    Authors: Lang Lang (Didi Chuxing); zhenlong zhu (Didi Chuxing); Xuanye Liu (Didi Chuxing); Jianxin Zhao (Didi Chuxing); Jixing Xu (Didi Chuxing)*; Minghui Shan (Didi Chuxing)
  • AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
    Authors: Qingsong Zhang (JD Tech); Bin Gu (JD Finance America Corporation); Cheng Deng (Xidian University); Jian Pei (Simon Fraser University); Heng Huang (JD Finance America Corporation)*
  • AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
    Authors: Yilmazcan Özyurt (ETH Zürich)*; Mathias Kraus (FAU Erlangen-Nuremberg); Tobias Hatt (ETH Zurich); Stefan Feuerriegel (ETH Zurich)
  • Auto-Split: A General Framework of Collaborative Edge-Cloud AI
    Authors: Amin Banitalebi-Dehkordi (Huawei Technologies Canada Co., Ltd.)*; Naveen Vedula (Huawei Canada); Jian Pei (Simon Fraser University); Fei Xia (Huawei); Lanjun Wang (Huawei Technologies Canada Co., Ltd.); Yong Zhang (Huawei Technologies Canada Co., Ltd.)
  • Automated Loss Function Search in Recommendations
    Authors: Xiangyu Zhao (Michigan State University)*; Haochen Liu (Michigan State University); Wenqi FAN (The Hong Kong Polytechnic University); Hui Liu (Michigan State University); Jiliang Tang (Michigan State University); Chong Wang (ByteDance)
  • Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies
    Authors: Lev Faivishevsky (Intel)*; Adi Szeskin (Intel); Ashwin k Muppalla (Intel); Ravid Ziv (Intel); Ronen Laperdon (Intel); Benjamin Melloul (intel); Tahi Hollander (Intel); Tom Hope (Intel); Amitai Armon (Intel)
  • AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data
    Authors: Luo Zhipeng (DeepBlue); Zhixing He (Deepblue Technology); jin wang (deepblueai); Manqing Dong (Deepblue Technology)*; Jianqiang Huang (Peking University); Mingjian Chen (Peking University); Bohang Zheng (Peking University)
  • Bipartite Dynamic Representations for Abuse Detection
    Authors: Andrew Z Wang (Stanford University)*; Rex Ying (Stanford University); Pan Li (Purdue University); Nikhil Rao (Amazon); Karthik Subbian (Amazon); Jure Leskovec (Stanford University)
  • Bootstrapping for Batch Active Sampling
    Authors: Heinrich Jiang (Google Research); Maya Gupta (Google)*
  • Bootstrapping Recommendations at Chrome Web Store
    Authors: Zhen Qin (Google)*; Honglei Zhuang (Google Research); Rolf Jagerman (Google Research); Xinyu Qian (Google Inc.); Po Hu (Google Inc.); Dan Chary Chen (Google Inc.); Xuanhui Wang (Google); Michael Bendersky (Google); Marc Najork (Google)
  • Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits
    Authors: Benjamin Han (Lyft)*; Carl Arndt (Lyft)
  • Cascading clustering based crop row detection with online domain adaptation
    Authors: Rashed M Doha (Indiana University Purdue University Indianapolis); Mohammad Al Hasan (IUPUI)*; Sohel Anwar (Indiana University Purdue University Indianapolis); Veera Rajendran (Equipment Technologies)
  • Categorization of Financial Transactions in QuickBooks
    Authors: Juan Liu (Intuit)*; Lei Pei (Intuit)
  • Causal and Interpretable Rules for Time Series Analysis
    Authors: Amin Dhaou (Total)*; Josselin Garnier (École Polytechnique); Antoine Bertoncello (Total); Erwann LE PENNEC (Polytechnique)
  • Clockwork: a delay-based global scheduling framework for more consistent landing times in the data warehouse
    Authors: Martin Valdez-Vivas (Facebook)*; Varun Sharma (Facebook); Nick Stanisha (Facebook); Shan Li (Facebook); Luo Mi (Facebook); Wei Jiang (Facebook); Alex Kalinin (Facebook); Josh Metzler (Facebook)
  • Clustering for Private Interest-based Advertising
    Authors: andres munoz (Google)*; Vahab Mirrokni (Google); Alessandro Epasto (Google); Sergei Vassilvtiskii (Google); Steven Avery (Google); Yijian Bai (Google); Robert Busa-Fekete (Google); CJ Carey (Google); Ya Gao (Google); David Guthrie (Google); Subham Ghosh (Google); James Ioannidis (Google); Junyi Jiao (Google); Jakub Łącki (Google); Jason Lee (Google); Arne Mauser (Google); Brian Milch (Google); Deepak Ravichandran (Google); Wei Shi (Google); Max Spero (Google); Yunting Sun (Google); Umar Syed (Google); Shuo Wang (Google)
  • Contextual Bandit Applications in a Customer Support Bot
    Authors: Sandra Sajeev (Microsoft)*; Jade Huang (Microsoft); Nikos Karampatziakis (Microsoft); Sebastian Kochman (Microsoft); Matthew Hall (Microsoft); Weizhu Chen (Microsoft)
  • Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
    Authors: Chang Zhou (Alibaba Group); Jianxin Ma (Alibaba Group)*; Jianwei Zhang (Alibaba Group); Jingren Zhou (Alibaba Group); Hongxia Yang (Alibaba Group)
  • Counterfactual Graphs for Explainable Classification of Brain Networks
    Authors: Carlo Abrate (isi foundation); Francesco Bonchi (ISI Foundation, Turin)*
  • Curriculum Meta-Learning for Next POI Recommendation
    Authors: Yudong Chen (Tsinghua University)*; Xin Wang (Tsinghua University); Miao Fan (Baidu); Jizhou Huang (Baidu); Shengwen Yang (Baidu); Wenwu Zhu (Tsinghua University)
  • Debiasing Learning based Cross-domain Recommendation
    Authors: Siqing Li (Renmin University of China)*; Liuyi Yao (Alibaba Group); Shanlei Mu (Renmin University of China); Wayne Xin Zhao (Renmin University of China); Yaliang Li (Alibaba Group); Tonglei Guo (Alibaba Group); Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"); Ji-Rong Wen (Renmin University of China)
  • Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy
    Authors: Zai Huang (Alibaba Group)*; Mingyuan Tao (Alibaba Group); Bufeng Zhang (Alibaba Group)
  • Device-Cloud Collaborative Learning for Recommendation
    Authors: Jiangchao Yao (Damo Academy, Alibaba Group)*; Feng Wang (Alibaba Group); Kunyang Jia (DAMO Academy, Alibaba Group); Bo Han (HKBU / RIKEN); Jingren Zhou (Alibaba Group); Hongxia Yang (Alibaba Group)
  • Diet Planning with Machine Learning: Teacher-forced REINFORCE for composition compliance with nutrition enhancement
    Authors: Changhun Lee (UNIST); Soohyeok Kim (Ulsan National Institute of Science and Technology (UNIST)); Chiehyeon Lim (Ulsan National Institute of Science and Technology)*
  • Diversity driven Query Rewriting in Search Advertising
    Authors: Akash Kumar Mohankumar (Indian Institute of Technology Madras)*; Nikit Begwani (Microsoft India (R&D) Pvt. Ltd.); AMIT K SINGH (Microsoft)
  • DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
    Authors: Fengtong Xiao (Alibaba Inc.)*; Lin Li (Alibaba Inc.); Weinan Xu (Alibaba Inc.); Jingyu Zhao (Alibaba Inc.); Xiaofeng Yang (Alibaba Inc.); Jun Lang (Alibaba Inc.); Hao Wang (Alibaba Inc.)
  • Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning
    Authors: Ignacio Segovia (University of Texas at Dallas); Huikyo Lee (NASA JPL Caltech); Yuzhou Chen (Southern Methodist University); Michael Garay (NASA); Krzysztof Gorski (NASA); Yulia R. Gel (The University of Texas at Dallas)*
  • Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
    Authors: Yu Wang (Microsoft Research); Jinchao Li (Microsoft); Tristan Naumann (Microsoft Research Redmond, US)*; Chenyan Xiong (Microsoft Research AI); Hao Cheng (Microsoft); Robert Tinn (Microsoft Research); Cliff Wong (Microsoft Research); Naoto Usuyama (Microsoft); Richard J Rogahn (Microsoft); Zhihong Shen (Microsoft Research Redmond); Yang Qin (Microsoft); Eric Horvitz (MSR); Paul Bennett (Microsoft Research); Jianfeng Gao (Microsoft Research); Hoifung Poon (Microsoft Research)
  • Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
    Authors: Pan Li (New York University)*; Zhichao Jiang (Alibaba Group); Maofei Que (Alibaba); Yao Hu (Alibaba Youku Cognitive and Intelligent Lab); Alexander Tuzhilin (New York University, USA)
  • Dynamic Language Models for Continuously Evolving Content
    Authors: Spurthi Amba Hombaiah (Google Research)*; Tao Chen (Google Research); Mingyang Zhang (Google); Michael Bendersky (Google); Marc Najork (Google)
  • Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
    Authors: Maya S Srikanth (California Institute of Technology)*; Animashree Anandkumar (Caltech); Anqi Liu (California Institute of Technology); Nicholas Adams-Cohen (Stanford University); R. Michael Alvarez (California Institute of Technology); Jian Cao (California institute of Technology)
  • Efficient deep distribution network for bid shading in First-Price Auctions
    Authors: Tian Zhou (Yahoo Research)*; Hao He (Verizon); Shengjun Pan (Verizon); Niklas Karlsson (Verizon); Bharatbhushan Shetty (Verizon); Brendan Kitts (Verizon); Djordje Gligorijevic (Verizon Media); Junwei Pan (Tencent); San Gultekin (Verizon); Tingyu Mao (Verizon); Jianlong Zhang (Verizon); Aaron Flores (Yahoo! Research)
  • Embedding-based Product Retrieval in Taobao Search
    Authors: Sen Li (Alibaba)*; Fuyu Lv (Alibaba); Taiwei Jin (Alibaba); Guli Lin (Alibaba Group); Keping Yang (Alibaba); Xiaoyi Zeng (Alibaba Group); Xiao-Ming Wu (The Hong Kong Polytechnic University); Qianli Ma (South China University of Technology)
  • Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning
    Authors: Hao Wang (Beijing Institute of Technology); Chi Harold Liu (Beijing Institute of Technology)*; Zipeng Dai (Beijing Institute of Technology); Jian Tang (Midea Group); Guoren Wang (Beijing Institute of Technology)
  • Pretrained Language Models for Web-scale Retrieval in Baidu Search
    Authors: Yiding Liu (Baidu Inc.)*; Weixue Lu (Baidu Inc.); Suqi Cheng (Baidu Inc.); Daiting Shi (Baidu Inc.); Shuaiqiang Wang (Baidu Inc.); zhicong cheng (Baidu); Dawei Yin (Baidu)
  • EXACTA: Explainable Column Annotation
    Authors: Yikun Xian (Rutgers University)*; Handong Zhao (Adobe Research); Tak Yeon Lee (Adobe Research); Sungchul Kim (Adobe); Ryan A. Rossi (Adobe Research); Zuohui Fu (Rutgers University); Gerard de Melo (Hasso Plattner Institute); S. Muthukrishnan
  • Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning
    Authors: Chao Du (Alibaba Group)*; Zhifeng Gao (Alibaba Group); Shuo Yuan (Alibaba Group); Lining Gao (Alibaba Group); Ziyan Li (Alibaba Group); Yifan Zeng (Alibaba Group); Xiaoqiang Zhu (Alibaba Group); Jian Xu (Alibaba Group); Kun Gai (Alibaba Group); Kuang-Chih Lee (Alibaba)
  • Extreme Multi-label Learning for Semantic Matching in Product Search
    Authors: Wei-Cheng Chang (Amazon)*; Daniel Jiang (Amazon); Hsiang-Fu Yu (Amazon); Choon Hui Teo (Amazon); Jiong Zhang (UT-Austin); Kai Zhong (Amazon); Kedarnath Kolluri (Amazon); Qie Hu (Amazon); Nikhil Shandilya (Amazon); Vyacheslav Ievgrafov (Amazon); Japinder Singh (Amazon); Inderjit S. Dhillon (UT Austin & Amazon)
  • FASER: Seismic Phase Identifier for Automated Monitoring
    Authors: Farhan Asif Chowdhury (The University of New Mexico)*; Mohammad Ashraf Siddiquee (University of New Mexico); Glen Eli Baker (Air Force Research Lab); Abdullah Mueen (University of New Mexico)
  • FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
    Authors: Yuexiang Xie (Alibaba Group)*; Zhen Wang (Alibaba Group); Yaliang Li (Alibaba Group); Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"); Nezihe Merve Gürel (ETH Zürich); Ce Zhang (ETH); Minlie Huang (Tsinghua University); Wei Lin (Alibaba Group); Jingren Zhou (Alibaba Group)
  • FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters
    Authors: Wenqi Jiang (ETH Zurich)*; Zhenhao He (ETH Zurich); Shuai Zhang (ETH Zurich); Kai Zeng (Alibaba Group); Liang Feng (Alibaba Group); Jiansong Zhang (Alibaba Group); Tongxuan Liu (Alibaba Group); Yong Li (Alibaba Group); Jingren Zhou (Alibaba Group); Ce Zhang (ETH); Gustavo Alonso (ETHZ)
  • FLOP: Federated Learning on Medical Datasets using Partial Networks
    Authors: Qian Yang (Duke University)*; Jianyi Zhang (Duke University); Weituo Hao (Duke University); Gregory P Spell (Duke University); Lawrence Carin Duke (CS)
  • GEM: Translation-free Zero-shot Global Entity Matcher for Global Catalogs
    Authors: Karim Bouyarmane (Amazon)*
  • Generating Mobility Trajectories with Retained Data Utility
    Authors: Chu Cao (Nanyang Technological University)*; Mo Li (Nanyang Technological University)
  • Globally Optimized Matchmaking in Online Games
    Authors: Qilin Deng (NetEase)*; Hao Li (NetEase); Kai Wang (Netease); Zhipeng Hu (Fuxi AI Lab in Netease ); Runze Wu (NetEase Fuxi AI Lab); Linxia Gong (Fuxi AI Lab, Netease Inc); Jianrong Tao (Netease); Changjie Fan (NetEase Fuxi AI Lab); Peng Cui (Tsinghua University)
  • HALO: Hierarchy-aware Fault Localization for Cloud Systems
    Authors: Xu Zhang (Microsoft Research)*; Chao Du (Microsoft Research); Yifan Li (Microsoft Research); Yong Xu (Microsoft Research ); Hongyu Zhang (University of Newcastle); Si Qin (Microsoft Research); Ze Li (Microsoft); Qingwei Lin (Microsoft Research); Yingnong Dang (Microsoft, USA); Andrew Zhou (Microsoft); Saravanakumar Rajmohan (Microsoft Office); Dongmei Zhang (Microsoft Research Asia)
  • Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection
    Authors: Yujie Fan (Case Western Reserve University); Mingxuan Ju (Case Western Reserve University); Shifu Hou (Case Western Reserve University); Yanfang Ye (Case Western Reserve University)*; Wenqiang Wan (Tencent Security Lab); Kui Wang (Tencent Security Lab); Yinming Mei (Tencent Security Lab); Qi Xiong (Tencent Security Lab)
  • HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps
    Authors: Jizhou Huang (Baidu)*; Haifeng Wang (Baidu); Yibo Sun (Baidu); Miao Fan (Baidu); Zhengjie Huang (Baidu); Chunyuan Yuan (Baidu); Yawen Li (BUPT)
  • Hierarchical Reinforcement Learning on Scarce Medical Resource Allocation with Imperfect Information
    Authors: Qianyue Hao (Tsinghua University); Fengli Xu (Tsinghua University); Lin Chen (The Hong Kong University of Science and Technology); Pan HUI (The Hong Kong University of Science and Technology); Yong Li (Tsinghua University)*
  • Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters
    Authors: Yuzhen Huang (Facebook Inc.)*; Xiaohan Wei (Facebook); Xing Wang (Facebook Inc.); Jiyan Yang (Facebook Inc.); Bor-Yiing Su (Facebook); Shivam Bharuka (Facebook); Dhruv Choudhary (Facebook Inc.); Zewei Jiang (Facebook); Hai Zheng (Facebook); Jack Langman (Facebook)
  • Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights
    Authors: David Dohan (Google)*; Andreea Gane (Google); Maxwell L Bileschi (Google); David Belanger (Google); Lucy Colwell (Google)
  • Improving the Information Disclosure in Mobility-on-Demand Systems
    Authors: Yue Yang (University of Sydney)*; Yuan Shi (Huolala); Dejian Wang (Huolala); Qisheng Chen (Huolala); Lei Xu (Shenzhen Research Institute of Big Data); Hanqian Li (Huolala); Zhouyu Fu (Huolala); Xin Li (Huolala); Hao Zhang (Huolala)
  • Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction
    Authors: Yu Zheng (Southwestern University of Finance and Economics); Yongxin Yang (University of Edinburgh ); Bowei Chen (University of Glasgow)*
  • Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection
    Authors: Can Liu (Alibaba Group)*; Li Sun (Alibaba Group); Xiang Ao (Institute of Computing Technology, CAS); Jinghua Feng (Ailbaba Group ); Qing He (Institute of Computing Technology, Chinese Academy of Sciences); Hao Yang (Alibaba Group)
  • Interactive Audience Expansion On Large Scale Online Visitor Data
    Authors: Yeuk Yin Chan (New York University)*; Tung Mai (Adobe Research); Anup Rao (Adobe Research); Ryan A. Rossi (Adobe Research); Fan Du (Adobe Research); Claudio Silva (NYU); Juliana Freire (New York University)
  • Interpretable drug response prediction using a knowledge-based neural network
    Authors: Oliver Snow (Simon Fraser University)*; Hossein Sharifi Noghabi (Simon Fraser University); Jialin Lu (); Olga zolotareva (Bielefeld University); Mark Lee (Simon Fraser University); Martin Ester (Simon Fraser University)
  • JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu
    Authors: Hao LIU (Business Intelligence Lab, Baidu Research)*; Qian Gao (Baidu, Inc); Jiang Li (Baidu, Inc.); Xiaochao Liao (Baidu, Inc.); Hao Xiong (Baidu, Inc.); Guangxing Chen (Baidu, Inc.); Wenlin Wang (Baidu, Inc.); Guobao Yang (Baidu, Inc.); Zhiwei Zha (Baidu, Inc.); Daxiang Dong (Baidu Inc.); Dejing Dou (Baidu); Haoyi Xiong (Baidu Research)
  • Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines
    Authors: Guang Wang (Rutgers University)*; Zhou Qin (Rutgers University); Shuai Wang (Southeast University); Huijun Sun (Beijing Jiaotong University); Zheng Dong (Wayne State University); Desheng Zhang (Rutgers University)
  • Knowledge-Guided Efficient Representation Learning for Biomedical Domain
    Authors: Kishlay Jha (University of Virginia)*; Guangxu Xun (University of Virginia); Nan Du (Dawnlight Inc); Aidong Zhang (University of Virginia)
  • KompaRe: A Knowledge Graph Comparative Reasoning System
    Authors: Lihui Liu (University of Illinois at Urbana-Champaign)*; Boxin Du (University of Illinois at Urbana-Champaign); Yi R Fung (University of Illinois at Urbana-Champaign); Heng Ji (University of Illinois at Urbana-Champaign); Jiejun Xu (HRL); Hanghang Tong (University of Illinois at Urbana-Champaign)
  • Lambda Learner: Fast Incremental Learning on Data Streams
    Authors: Rohan Ramanath (LinkedIn Corporation)*; Konstantin Salomatin (LinkedIn); Jeffrey Gee (LinkedIn Corporation); Kirill Talanine (LinkedIn Corporation); Onkar Dalal (LinkedIn Corporation); Gungor Polatkan (LinkedIn Corporation); Sara Smoot (LinkedIn Corporation); Deepak Kumar (LinkedIn Corporation)
  • Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework
    Authors: Shuncheng Liu (University of Electronic Science and Technology of China)*; Han Su (University of Electronic Science and Technology of China); Yan Zhao (Aalborg University); Kai Zeng (Alibaba Group); Kai Zheng (University of Electronic Science and Technology of China)
  • Large-Scale Network Embedding in Apache Spark
    Authors: Wenqing Lin (Tencent)*
  • Learn to Expand Audience via Meta Hybrid Experts and Critics
    Authors: Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences)*; Yudan Liu (WeChat Search Application Department, Tencent); Ruobing Xie (WeChat Search Application Department, Tencent); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Xiaobo Hao (WeChat Search Application Department, Tencent); Kaikai Ge (WeChat Search Application Department, Tencent); Xu Zhang (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent); Juan Cao (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
  • Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value
    Authors: Mingzhe Xing (Peking University)*; Shuqing Bian (Renmin University of China); Wayne Xin Zhao (Renmin University of China); Zhen Xiao (Peking University); xinji luo (tencent); Cunxiang Yin (Tencent); Jing Cai (tencent); Yancheng He (Tencent)
  • Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing
    Authors: Dingyuan Shi (Beihang University); Yongxin Tong (Beihang University)*; Zimu Zhou (Singapore Management University); Bingchen Song (Beihang University); Weifeng Lv (Beihang University); Qiang Yang (Hong Kong UST)
  • Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
    Authors: Sanshi Yu (University of Science and Technology of China); Zhuoxuan Jiang (JD AI Research)*; Dong-Dong Chen (JD AI Research); Shanshan Feng (Harbin Institute of Technology, Shenzhen); Dongsheng Li (Microsoft Research Asia); Qi Liu (" University of Science and Technology of China, China"); Jinfeng Yi (JD AI Research)
  • Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach
    Authors: Zhao Li (Alibaba Group); Haishuai Wang (Fairfield University,Department of Computer Science and Engineering); Peng Zhang (Guangzhou University)*; Pengrui Hui ( Alibaba Group); Jiaming Huang (Alibaba Group); Jian Liao (Alibaba Group); Ji Zhang (The University of Southern Queensland); Jiajun Bu (Zhejiang University)
  • M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining
    Authors: Junyang Lin (Alibaba Group)*; Rui Men (Alibaba Group); An Yang (Alibaba Group); Chang Zhou (Alibaba Group); yichang zhang (alibaba); Peng Wang (Alibaba Group); Jingren Zhou (Alibaba Group); Jie Tang (Tsinghua University); Hongxia Yang (Alibaba Group)
  • Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach
    Authors: Junhao Hua (Alibaba Group)*; Ling Yan (Alibaba Inc.); Huan Xu (Alibaba Group); Cheng Yang (Alibaba Group)
  • Medical Entity Relation Verification with Large-scale Machine Reading Comprehension
    Authors: Yuan Xia (baidu)*; Chunyu Wang (Baidu Inc.); Zhenhui Shi (Baidu); Jingbo Zhou (Baidu Inc.); Chao Lu (Baidu Inc); Haifeng Huang (Baidu Inc); Hui Xiong (Rutgers University)
  • MEDTO: Medical Data to Ontology Matching using Hybrid Graph Neural Networks
    Authors: Junheng Hao (UCLA); Chuan Lei (IBM Research - Almaden)*; Vasilis Efthymiou (FORTH-ICS); Abdul H Quamar (IBM Research Almaden); Fatma Ozcan (Google); Yizhou Sun (UCLA); Wei Wang (UCLA)
  • MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning
    Authors: Chengyu Wang (Alibaba Group)*; Haojie Pan (Alibaba Group); Yuan Liu (Alibaba); Kehan Chen (Alibaba); Minghui Qiu (Alibaba); Wei Zhou (Alibaba); Jun Huang (Alibaba Group); Haiqing Chen (Alibaba Inc.); Wei Lin (Alibaba Group); Deng Cai (Zhejiang University, China)
  • MEOW: A Space-Efficient Non-Parametric Bid Shading Algorithm
    Authors: Wei Zhang (Tsinghua University); Brendan Kitts ( (AOL))*; Yanjun Han (Stanford University); Zhengyuan Zhou (New York University); Tingyu Mao (Verizon); Hao He (Verizon); Shengjun Pan (Verizon); Aaron Flores (Yahoo! Research); San Gultekin (Verizon); Tsachy Weissman (Stanford University)
  • Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps
    Authors: Miao Fan (Baidu)*; Yibo Sun (Baidu); Jizhou Huang (Baidu); Haifeng Wang (Baidu); Ying Li (Baidu)
  • Micro-climate Prediction - Multi scale encoder-decoder based deep learning framework
    Authors: Peeyush Kumar (Microsoft Research)*; Ranveer Chandra (Microsoft Research); Chetan Bansal (Microsoft); Shivkumar Kalyanaraman (Microsoft); Tanuja Ganu (Microsoft Research)
  • MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance
    Authors: Zhihan Fang (Rutgers University); Guang Yang (Rutgers University); Dian Zhang (Lingnan University); Xiaoyang Xie (Rutgers University); Guang Wang (Rutgers University); Yu Yang (Rutgers University); Fan Zhang (Shenzhen Beidou Technology Company); Desheng Zhang (Rutgers University)*
  • MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge
    Authors: Mengying Sun (Michigan State University)*; Jing Xing (Michigan State University); Huijun Wang (Agios Pharmaceuticals); Bin Chen (Michigan State University); Jiayu Zhou (Michigan State University)
  • Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning for Customer Acquisition
    Authors: Dongbo Xi (Meituan)*; Zhen Chen (Meituan); Peng Yan (Meituan); Yinger Zhang (Meituan); Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Yu Chen (Meituan)
  • Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries
    Authors: Sukhdeep Sodhi (Google); Ka In Chio (Google Research); Ambarish Jash (Google); Santiago Ontanon (Google LLC)*; Ajit Apte (Google); Ankit Kumar (Google); Ayooluwakunmi Jeje (Google); Dima Kuzmin (Google); Harry Fung (Google); Heng-Tze Cheng (Google Research); Jon Effrat (Google); Tarush Bali (Google); Nitin Jindal (Google); Pei Cao (Google); Sarvjeet Singh (Google); Senqiang Zhou (Google); Tameen Khan (Google); Amol Wankhede (Google); Moustafa Alzantot (Google); Allen Wu (Google); Tushar Chandra (Google Research)
  • MPCSL - A Modular Pipeline for Causal Structure Learning
    Authors: Johannes Huegle (Hasso Plattner Institute)*; Christopher Hagedorn (Hasso Plattner Institute); Michael Perscheid (Hasso Plattner Institute); Hasso Plattner (Hasso Plattner Institute)
  • MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
    Authors: Weijia Zhang (School of Computer Science, University of Science and Technology of China)*; Hao Liu (Baidu Inc.); Lijun Zha (School of Computer Science, University of Science and Technology of China); Hengshu Zhu (Baidu); Ji Liu (Baidu Research); Dejing Dou (Baidu); Hui Xiong (the State University of New Jersey)
  • Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search
    Authors: Ziyu Guan (Xidian University); Hongchang Wu (Alibaba group); Qingyu Cao (Alibaba Group)*; Hao Liu (Alibaba group); Sheng Li (Alibaba Group); Jian Xu (Alibaba Group); Wei Zhao (Xidian University); CAI XU (Xidian university); Guang Qiu (Alibaba Group); Bo Zheng (Alibaba Group)
  • Multi-modal Emergent Fake News Detection via Meta Neural Process Networks
    Authors: Yaqing Wang (Purdue University)*; Fenglong Ma (Pennsylvania State University); Haoyu Wang (SUNY Buffalo); Kishlay Jha (University of Virginia); Jing Gao (University at Buffalo)
  • Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
    Authors: Zhiwei Wang (Michigan State University)*; Zhengzhang Chen (NEC Laboratories America, Inc.); Jingchao Ni ( NEC Laboratories America); Hui Liu (Michigan State University); Haifeng Chen (NEC Labs); Jiliang Tang (Michigan State University)
  • Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
    Authors: Zhihan Li (Tsinghua University)*; Youjian Zhao (Tsinghua University); Jiaqi Han (Tsinghua University); Ya Su (Tsinghua University); Rui Jiao (Tsinghua University); Xidao Wen (Tsinghua University); Dan Pei (Tsinghua University)
  • Network Experimentation at Scale
    Authors: Brian Karrer (Facebook)*; Liang Shi (Facebook); Monica Bhole (Facebook); Matt Goldman (Facebook); Tyrone Palmer (Facebook); Charlie Gelman (Facebook); Mikael Konutgan (Facebook); Feng Sun (Facebook)
  • Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
    Authors: Xiangyu Liu (Alibaba Group)*; Chuan Yu (Alibaba Group); Zhilin Zhang (Alibaba Group); ZHENZHE ZHENG (Shanghai Jiao Tong University); Yu Rong (Alibaba Group); Hongtao Lv (Shanghai Jiao Tong University); Da Huo (Shanghai Jiao Tong University); Yiqing Wang (Shanghai Jiao Tong University); Dagui Chen (Alibaba Group); Jian Xu (Alibaba Group); FAN WU (Shanghai Jiao Tong University); Guihai Chen (Shanghai Jiao Tong University); Xiaoqiang Zhu (Alibaba Group)
  • Neural Instant Search for Music and Podcast
    Authors: Helia Hashemi (University of Massachusetts Amherst)*; Aasish Pappu (Spotify); Mi Tian (Spotify); Praveen Chandar (Spotify); Mounia Lalmas (Spotify); Benjamin Carterette (Spotify)
  • On Post-Selection Inference in A/B Testing
    Authors: Yicheng Li (Microsoft)*; Alex Deng (Airbnb); Jiannan Lu (Microsoft Corporation); Vivek Ramamurthy (Microsoft)
  • On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
    Authors: Ching-yuan Bai (National Taiwan University)*; Hsuan-Tien Lin (National Taiwan University); Colin Raffel (Google); Wendy Kan (Google)
  • OpenBox: A Generalized Black-box Optimization Service
    Authors: Yang Li (Peking University)*; Yu Shen (Peking University); Wentao Zhang (Peking University); Yuanwei Chen (Peking University); Huai Jun Jiang (Peking University); Ming Chao Liu (Peking University); Jiawei Jiang (ETH Zurich); Jinyang Gao (Alibaba Group); Wentao Wu (Microsoft Research); Zhi Yang (Peking University); Ce Zhang (ETH); Bin Cui (Peking University)
  • PAM: Understanding Product Images in Cross Product Category Attribute Extraction
    Authors: Rongmei Lin (Emory University)*; Xiang He (Amazon); Jie Feng (Amazon); Nasser Zalmout (Amazon); Yan Liang (Amazon); Li Xiong (Emory University); Xin Luna Dong (
  • PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma
    Authors: Linchuan Xu (The HongKong Polytechnic University)*; Ryo Asaoka (The University of Tokyo); Taichi Kiwaki (The University of Tokyo); Hiroshi Murata (The University of Tokyo); Yuri Fujino (The University of Tokyo); Kenji Yamanishi (The University of Tokyo)
  • PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis
    Authors: Yifei Chen (Tencent)*; Haoyu Ma (University of California, Irvine); Jiangyuan Wang (Tencent); Jianbao Wu (Tencent); Xian Wu (Tencent Medical AI Lab); Xiaohui Xie (University of California, Irvine)
  • Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization
    Authors: Ahmed Abdulaal (eBay)*; Zhuanghua Liu (eBay); Tomer Lancewicki (EBay)
  • Pre-trained Language Model based Ranking in Baidu Search
    Authors: Lixin Zou (Baidu Inc.)*; Shengqiang Zhang (Peking University); Hengyi Cai (Baidu Inc.); Dehong Ma (Baidu Inc.); Suqi Cheng (Baidu Inc.); Shuaiqiang Wang (Baidu Inc.); Daiting Shi (Baidu Inc.); zhicong cheng (Baidu); Dawei Yin (Baidu)
  • Predicting COVID-19 Spread from Large-Scale Mobility Data
    Authors: Amray Schwabe (ETHZ)*; Joel Persson (ETH Zurich); Stefan Feuerriegel (ETH Zurich)
  • Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors
    Authors: Yue He (Tsinghua University)*; Dong Yancheng (thu); Peng Cui (Tsinghua University); Yuhang Jiao (Beijing Kuaishou Technology Co., Ltd.); Xiaowei Wang (Beijing Kuaishou Technology Co., Ltd.); Ji Liu (Kuaishou Seattle AI Lab); Philip S Yu (UNIVERSITY OF ILLINOIS AT CHICAGO)
  • Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition
    Authors: Sihem Amer-Yahia (CNRS); Shady Elbassuoni (AUB)*; Ahmad Ghizzawi (AUB); Anas Hosami (AUB)
  • Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook
    Authors: Yiqun Liu (Facebook); Kaushik Rangadurai (Facebook); Xunlong Gui (Facebook); Xiaoyi Liu (Facebook); Yunzhong He (Facebook); Siddarth Malreddy (Facebook); Fedor Borisyuk (Facebook)*
  • RAPT: Pre-training of Time-Aware Transformer for Learning robust Healthcare Representation
    Authors: Houxing Ren (Beihang University); Jingyuan Wang (Beihang University)*; Wayne Xin Zhao (Renmin University of China); Ning Wu (Beihang University)
  • Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling
    Authors: Siyu Gu (Alibaba); Xiang-Rong Sheng (Alibaba)*; Ying Fan (Alibaba Group); Guorui Zhou (Alibaba Group); Xiaoqiang Zhu (Alibaba Group)
  • Recommending the Most Effective Interventions to Improve Employment for Job Seekers with Disability
    Authors: Ha Xuan TRAN (University of South Australia)*; Thuc Duy Le (University of South Australia); Jiuyong Li (University of South Australia); Lin Liu (University of South Australia); Jixue Liu (University of South Australia); Yanchang Zhao (CSIRO); Tony Waters (Maxima Training Group (Aust) Ltd.)
  • Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
    Authors: Shining Liang (Jilin University)*; Ming Gong (Microsoft STCA NLP Group); Jian Pei (Simon Fraser University); Linjun Shou (STCA NLP Group, Microsoft, Beijing); Wanli Zuo (Jilin University); Xiang-lin Zuo (Jilin University); Daxin Jiang (Microsoft, Beijing, China)
  • Reinforcing Pretrained Models for Generating Attractive Text Advertisements
    Authors: Xiting Wang (Microsoft Research Asia)*; Xinwei Gu (Simon Fraser University); Jie Cao (Microsoft); Zihua Zhao (Shanghai Jiao Tong University); Yulan Yan (Microsoft); Bhuvan Middha (Microsoft); Xing Xie (Microsoft Research Asia)
  • Representation Learning for Predicting Customer Orders
    Authors: Tongwen WU (City University of Hong Kong); Yu Yang (City University of Hong Kong)*; Yanzhi Li (City University of Hong Kong); Huiqiang Mao (Alibaba Group); Liming Li (Alibaba Group); Xiaoqing WANG (alibaba); Yuming Deng (Alibaba Group, Dept. New Retail Supply Chain)
  • Robust Object Detection Fusion Against Deception
    Authors: Ka-Ho Chow (Georgia Institute of Technology)*; Ling Liu (Georgia Institute of Technology)
  • Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network
    Authors: Jaehyuk Yi (KAIST)*; Jinkyoo Park (KAIST)
  • SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations
    Authors: Chenyi Lei (University of Science and Technology of China, Alibaba Group)*; Yong Liu (Nanyang Technological University); lingzi zhang (Nanyang Technological University); Guoxin Wang (Alibaba Group); Haihong Tang (Alibaba Group); Houqiang Li (University of Science and Technology of China); Chunyan Miao (NTU)
  • Session-Aware Query Auto-completion using Extreme Multi-label Ranking
    Authors: Nishant Yadav (University of Massachusetts Amherst)*; Rajat Sen (Google Research); Daniel N Hill (, Inc.); Arya Mazumdar (University of California, San Diego); Inderjit S. Dhillon (UT Austin & Amazon)
  • SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce
    Authors: Andrea Nestler (Zalando SE)*; Nour Karessli (Zalando SE); Karl Hajjar (Zalando SE); Rodrigo Weffer (Zalando SE); Reza Shirvany (Zalando SE)
  • Sliding Spectrum Decomposition for Diversified Recommendation
    Authors: Yanhua Huang (Xiaohongshu)*; Weikun Wang (Xiaohongshu); Lei Zhang (Xiaohongshu); Ruiwen Xu (Xiaohongshu)
  • SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps
    Authors: Xiaomin Fang (Baidu)*; Jizhou Huang (Baidu); Fan Wang (Baidu, Inc.); Lihang Liu (Baidu); Yibo Sun (Baidu); Haifeng Wang (Baidu)
  • Supporting COVID-19 policy response with large-scale mobility-based modeling
    Authors: Serina Y Chang (Stanford University)*; Mandy Wilson (Biocomplexity Institute & Initiative, University of Virginia); Bryan Leroy Lewis (Biocomplexity Institute & Initiative, University of Virginia); Zakaria Mehrab (Biocomplexity Institute & Initiative, University of Virginia); Emma J Pierson (Stanford University); Pang Wei Koh (Stanford University); Jaline Gerardin (Northwestern University); Beth Redbird (Northwestern University); David Grusky (Stanford University); Madhav Marathe (Biocomplexity Institute & Initiative, University of Virginia); Jure Leskovec (Stanford University)
  • Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis
    Authors: Jiachen Wang (Zhejiang University)*; Dazhen Deng (Zhejiang University); Xiao Xie (Zhejiang University); Xinhuan Shu (Zhejiang University); Yu-Xuan Huang (Nanjing University); Le-Wen Cai (Nanjing University); Hui Zhang (Zhejiang University); Min-Ling Zhang (Southeast University); Zhi-Hua Zhou (Nanjing University); Yingcai Wu (Zhejiang University and Zhejiang Lab)
  • Talent Demand Forecasting with Attentive Neural Sequential Model
    Authors: Qi Zhang (University of Science and Technology of China)*; Hengshu Zhu (Baidu Talent Intelligence Center, Baidu Inc.); Ying Sun (Institute Of Computing Technology, Chinese Academy Of Sciences); Hao LIU (Business Intelligence Lab, Baidu Research); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Hui Xiong (Rutgers University)
  • Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
    Authors: Mingcheng Chen (Shanghai Jiao Tong University)*; Zhenghui Wang (Shanghai Jiao Tong University); Zhiyun Zhao (Shanghai RuiJin Hospital); Weinan Zhang (Shanghai Jiao Tong University); Xiawei Guo (4Paradigm); Jian Shen (Shanghai Jiao Tong University); Yanru Qu (Shanghai Jiao Tong University); Jieli Lu (Shanghai RuiJin Hospital); Min Xu (Shanghai RuiJin Hospital); Yu Xu (Shanghai RuiJin Hospital); Tiange Wang (Shanghai RuiJin Hospital); Mian Li (Shanghai RuiJin Hospital); Wei-Wei Tu (4th Paradigm); Yong Yu (Shanghai Jiao Tong University ); Yufang Bi (Shanghai Jiao Tong University); Weiqing Wang (Shanghai RuiJin Hospital); Guang Ning (Shanghai RuiJin Hospital)
  • Theory Meets Practice: Worst Case Behavior of Quantile Algorithms
    Authors: Graham Cormode (University of Warwick); Abhinav Mishra (Splunk); Joseph Ross (Splunk); Pavel Vesely (University of Warwick)*
  • Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
    Authors: Cheng Feng (Siemens)*; Pengwei Tian (Siemens)
  • TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
    Authors: Joao Bento (Feedzai); Pedro Saleiro (Feedzai)*; André F. Cruz (Feedzai); Mario Figueiredo (University of Lisbon); Pedro Bizarro (Feedzai)
  • Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference
    Authors: Jianing Xi (School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University); Liping Ye (School of Computer Science, Northwestern Polytechnical University); Qinghua Huang (School of Mechanical Engineering, and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, China)*; Xuelong Li (Northwestern Polytechnical University)
  • Towards the D-Optimal Online Experiment Design for Recommender Selection
    Authors: Da Xu (Walmart Labs)*; Chuanwei Ruan (Walmart Labs); Evren Korpeoglu (Walmart Labs); Sushant Kumar (Walmart Labs); Kannan Achan (Walmart Labs)
  • Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism
    Authors: Vipul Gupta (UC Berkeley)*; Dhruv Choudhary (Facebook Inc.); Peter Tang (Facebook Inc.); Xiaohan Wei (Facebook); Yuzhen Huang (Facebook Inc.); Xing Wang (Facebook Inc.); Arun Kejariwal (Facebook Inc.); Ramchandran Kannan (Department of Electrical Engineering and Computer Science University of California, Berkeley); Michael Mahoney ("University of California, Berkeley")
  • Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design
    Authors: Min Liu (LinkedIn)*; Jialiang Mao (LinkedIn Corp); Kang Kang (LinkedIn Corp)
  • Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization
    Authors: Guy Barshatski (Technion)*; Kira Radinsky (Technion)
  • Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach
    Authors: Xiao Liang (Tencent Inc.); Zheng Yang (Tsinghua University); Binghui Wang (Duke University); Shaofeng Hu (Tencent Inc.); Zijie Yang (Tsinghua University); Dong Yuan (Tsinghua University); Neil Zhenqiang Gong (Duke University); Qi Li (Tsinghua University)*; Fang He (Tencent Inc.)
  • User Consumption Intention Prediction in Meituan
    Authors: Yukun Ping (Tsinghua University)*; Chen Gao (Tsinghua University); Taichi Liu (Tsinghua University); Xiaoyi Du (Meituan); Hengliang Luo (Meituan); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University)
  • Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms
    Authors: Xiaocheng Tang (DiDi AI Labs)*; Fan Zhang (DiDi AI Labs); ZHIWEI QIN (Didi Research America); Yansheng Wang (Beihang University); Dingyuan Shi (Beihang University); Bingchen Song (Beihang University); Yongxin Tong (Beihang University); Hongtu Zhu (AI Labs, Didi Chuxing); Jieping Ye (Didi Chuxing & University of Michigan)
  • VisRel: Media Search at Scale
    Authors: Fedor Borisyuk (Facebook)*; Siddarth Malreddy (Facebook); Jun Mei (Facebook); Yiqun Liu (Facebook); Xiaoyi Liu (Facebook); Piyush Maheshwari (Facebook); Kaushik Rangadurai (Facebook)
  • VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search
    Authors: Shaunak Mishra (Yahoo Research)*; Mikhail Kuznetsov (Yahoo! Research); Gaurav Srivastava (Yahoo Research); Maxim Sviridenko (Yahoo! Research)
  • We Know What You Want: An Advertising Strategy Recommender System for Online Advertising
    Authors: Liyi Guo (Shanghai Jiao Tong University)*; Junqi Jin (Alibaba Group); Haoqi Zhang (Shanghai Jiao Tong University); ZHENZHE ZHENG (Shanghai Jiao Tong University); Zhiye Yang (Alibaba Group); Zhizhuang Xing (Alibaba Group); Fei Pan (Alibaba Group); Lvyin Niu (Alibaba Group); FAN WU (Shanghai Jiao Tong University); Haiyang Xu (Alibaba Group); Chuan Yu (Alibaba Group); Yuning Jiang (Alibaba Group); Xiaoqiang Zhu (Alibaba Group)
  • Web-Scale Generic Object Detection at Microsoft Bing
    Authors: Xi Stephen Chen (Microsoft)*; Saurajit Mukherjee (microsoft); Unmesh Phadke (Microsoft); Tingting Wang (Microsoft); Junwon Park (Microsoft); Ravi Theja Yada (Microsoft)
  • What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data
    Authors: Charbel Merhej (University of Southampton)*; Ryan J Beal (University of Southampton); Tim Matthews (Sentient Sports); Sarvapali Ramchurn (University of Southampton)
  • When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications
    Authors: Chaochao Chen (Ant Group)*; Jun Zhou (Ant Financial); Li Wang (Ant Group); Xibin Wu (Ant Financial); Wenjing Fang (Ant Financial); Jin Tan (Ant Financial); Lei Wang (Ant Financial Services Group); Alex X. Liu (Ant Financial Services Group); Hao Wang; Cheng Hong (Alibaba Group)
  • Would your tweet invoke hate on the fly? Forecasting hate intensity of reply threads on Twitter
    Authors: Snehil Dahiya (Indraprastha Institute of Information Technology Delhi (IIIT-D)); Shalini Sharma (Indraprashtha Institute of Information Technology Delhi); Dhruv Sahnan (Indraprastha Institute of Information Technology Delhi (IIIT-D)); Vasu Goel (Indraprastha Institute of Information Technology, Delhi); Angshul Majumdar (IIIT Delhi); Victor Elvira (University of Edinburgh); Emilie Chouzenoux (CentraleSupélec and Université Paris-Est Marne la Vallée); Anil Bandhakavi (Logically); Tanmoy Chakraborty (Indraprastha Institute of Information Technology Delhi (IIIT-D),India )*
  • Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing
    Authors: Rajarshee Mitra (Microsoft)*; Rhea Jain (Microsoft); Aditya Srikanth Veerubhotla (Microsoft); Manish Gupta (Microsoft,India)