After much consideration, the General Chairs, Executive Committee and Organizing Committee for KDD 2020 have decided to take the conference fully virtual. The events of the past few months and the continued safety concerns have led us to make this difficult decision. Our focus now is on creating a virtual conference with the vibrancy, excellence and sense of community that KDD has become known for.

In the coming weeks, the agenda and more programmatic details will be announced, watch the website and our social media posts. Our plans include all the tracks and content you’ve come to count on at KDD, and five exciting keynote speakers! Registration is now open, clear your calendar for August 23-27, 2020, and enjoy access to all the virtual content live and on demand the week of the event.

We’ll look forward to seeing you next year, when we will hope to be together in a safe manner. We are also pursuing a KDD 2023 Conference in San Diego, so that we can realize the hard work this committee has put in and showing the KDD community this beautiful location!

Until then, please spread the word, and feel free to drop us a note with any questions or virtual best practices that you’d like to share.

All the Best,

Rajesh Gupta and Yan Liu
KDD 2020 General Chairs
General2020@kdd.org


Research Track Papers

  • A Block Decomposition Algorithm for Sparse Optimization Authors: Ganzhao Yuan: Peng Cheng Laboratory; Li Shen: Tencent AI LAB; Weishi Zheng: Sun Yat-sen University
  • A causal look at statistical definitions of discrimination Authors: Elias Chaibub Neto: Sage Bionetworks
  • A Data Driven Graph Generative Model for Temporal Interaction Networks Authors: Dawei Zhou: University of Illinois at Urbana-Champaign; Lecheng Zheng: University of Illinois at Urbana-Champaign; Jiawei Han: University of Illinois at Urbana-Champaign; Jingrui He: University of Illinois at Urbana-Champaign
  • A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks Authors: Jianing Sun: Huawei Technologies Canada; Wei Guo: Huawei Noah's Ark Lab; Dengcheng Zhang: Huawei Distributed and Parallel Software Lab; Yingxue Zhang: Huawei Technologies Canada; Florence Robert-Regol: McGill University; Yaochen Hu: Huawei Technologies Canada; Huifeng Guo: Huawei Noah's Ark Lab; Ruiming Tang: Huawei Noah's Ark Lab; Han Yuan: Huawei Distributed and Parallel Software Lab; Xiuqiang He: Huawei Noah's Ark Lab; Mark Coates: McGill University
  • A Geometric Approach to Predicting Bounds of Downstream Model Performance Authors: Brian J. Goode: Virginia Tech; Debanjan Datta: Virginia Tech
  • A Geometric Approach to Time Series Chains Improves Robustness Authors: Makoto Imamura: Tokai University; Takaaki Nakamura: Mitsubishi Electric Corporation; Eamonn Keogh: University of California - Riverside
  • A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components Authors: Yuantong Li: Purdue University; Qi Ma: North Carolina State University; Sujit Ghosh: North Carolina State University
  • A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network Authors: Tianyu Kang: University of Massachusetts Boston; Ping Chen: University of Massachusetts Boston; John Quackenbush: Harvard T.H. Chan School of Public Health; Wei Ding: University of Massachusetts Boston
  • Adaptive Graph Encoder for Attributed Graph Embedding Authors: Ganqu Cui: Tsinghua University; Jie Zhou: Tsinghua University; Cheng Yang: Beijing University of Posts and Telecommunications; Zhiyuan Liu: Tsinghua University
  • Adversarial Infidelity Learning for Model Interpretation Authors: Jian Liang: Cloud and Smart Industries Group, Tencent, China; Bing Bai: Cloud and Smart Industries Group, Tencent, China; Yuren Cao: Cloud and Smart Industries Group, Tencent, China; Kun Bai: Cloud and Smart Industries Group, Tencent, China; Fei Wang: Cornell University
  • AdvMind: Inferring Adversary Intent of Black-Box Attacks Authors: Ren Pang: Penn State; Xinyang Zhang: Penn State; Shouling Ji: Zhejiang University; Xiapu Luo: Hong Kong Polytechnic University; Ting Wang: Penn State
  • Algorithmic Aspects of Temporal Betweenness Authors: Sebastian Buß: TU Berlin; Hendrik Molter: TU Berlin; Rolf Niedermeier: TU Berlin; Maciej Rymar: TU Berlin
  • Algorithmic Decision Making with Conditional Fairness Authors: Renzhe Xu: Tsinghua University; Peng Cui: Tsinghua University; Kun Kuang: Zhejiang University; Bo Li: Tsinghua University; Linjun Zhou: Tsinghua University; Zheyan Shen: Tsinghua University; Wei Cui: Squirrel AI Learning
  • ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization Authors: Gordon Moon: Sandia National Laboratories; J. Austin Ellis: Sandia National Laboratories; Aravind Sukumaran-Rajam: Washington State University; Srinivasan Parthasarathy: The Ohio State University; P. Sadayappann: University of Utah
  • AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Authors: Xiao Wang: Beijing University of Posts and Telecommunications; Meiqi Zhu: Beijing University of Posts and Telecommunications; Deyu Bo: Beijing University of Posts and Telecommunications; Peng Cui: Tsinghua University; Chuan Shi: Beijing University of Posts and Telecommunications; Jian Pei: Simon Fraser University
  • An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph Authors: Jiarui Jin: Shanghai Jiao Tong University; Jiarui Qin: Shanghai Jiao Tong University; Yuchen Fang: Shanghai Jiao Tong University; Kounianhua Du: Shanghai Jiao Tong University; Weinan Zhang: Shanghai Jiao Tong University; Yong Yu: Shanghai Jiao Tong University; Zheng Zhang: Amazon; Alexander Smola: Amazon
  • An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Authors: Ruixiang Tang: Texas A&M University; Mengnan Du: Texas A&M University; Ninghao Liu: Texas A&M University; Fan Yang: Texas A&M University; Xia Hu: Texas A&M University
  • ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Authors: Zhongkai Hao: University of Science and Technology of China; Chengqiang Lu: University of Science and Technology of China; Zhenya Huang: University of Science and Technology of China; Hao Wang: University of Science and Technology of China; Zheyuan Hu: University of Science and Technology of China; Qi Liu: University of Science and Technology of China; Enhong Chen: University of Science and Technology of China; Cheekong Lee: Tencent America
  • Attackability Characterization of Adversarial Evasion Attack on Discrete Data Authors: Yutong Wang: King Abdullah University of Science and Technology; Yufei Han: NortonLifelock Research Group; Hongyan Bao: King Abdullah University of Science and Technology; Yun Shen: NortonLifelock Research Group; Fenglong Ma: Penn State University; Jin Li: Guangzhou Univeristy; Xiangliang Zhang: King Abdullah University of Science and Technology
  • Attention and Memory-Augmented Networks for Dual-View Sequential Learning Authors: Yong He: Alibaba; Cheng Wang: Alibaba; Nan Li: Alibaba; Zhenyu Zeng: Alibaba
  • Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data Authors: Fengli Xu: Tsinghua University; Yong Li: Tsinghua University; Shusheng Xu: Tsinghua University
  • AutoGrow: Automatic Layer Growing in Deep Convolutional Networks Authors: Wei Wen: Duke University; Feng Yan: University of Nevada - Reno; Yiran Chen: Duke University; Hai Li: Duke University
  • AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space Authors: Chengrun Yang: Cornell University; Jicong Fan: Cornell University; Ziyang Wu: Cornell University; Madeleine Udell: Cornell University
  • AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks Authors: Jiancheng Lyu: Qualcomm; Shuai Zhang: Qualcomm; Yingyong Qi: Qualcomm; Jack Xin: University of California, Irvine
  • AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction Authors: Ting Li: JD Intelligent Cities Business Unit; Junbo Zhang: JD Intelligent Cities Business Unit; Kainan Bao: south west jiaotong university; Yuxuan Liang: School of Computing, National University of Singapore; Yexin Li: Yexin Li Hong Kong University of Science and Technology; Yu Zheng: JD Intelligent Cities Business Unit
  • Average Sensitivity of Spectral Clustering Authors: Pan Peng: Department of Computer Science, University of Sheffield, Sheffield, U.K.; Yuichi Yoshida: National Institute of Informatics
  • BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals Authors: Otmane Sakhi: Criteo; Stephen Bonner: Durham University; David Rohde: Criteo; Flavian Vasile: Criteo
  • Block Model Guided Unsupervised Feature Selection Authors: Zilong Bai: University of California, Davis; Hoa Nguyen: University of California, Davis; Ian Davidson: University of California, Davis
  • BOND: Bert-Assisted Open-Domain Named Entity Recognition with Distant Supervision Authors: Chen Liang: Georgia Institute of Technology; Yue Yu: Georgia Institute of Technology; Haoming Jiang: Georgia Institute of Technology; Siawpeng Er: Georgia Institute of Technology; Ruijia Wang: Georgia Institute of Technology; Tuo Zhao: Georgia Institute of Technology; Chao Zhang: Georgia Institute of Technology
  • Bridging the Gap between Superhuman AI and Human Behavior: Chess as a Model System Authors: Reid McIlroy-Young: University of Toronto; Siddhartha Sen: Microsoft Research; Jon Kleinberg: Cornell University; Ashton Anderson: University of Toronto
  • CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data Authors: Xiang Li: The University of Hong Kong; Ben Kao: The University of Hong Kong; Caihua Shan: The University of Hong Kong; Dawei Yin: JD.com; Martin Ester: Simon Fraser University
  • Catalysis Clustering With GAN By Incorporating Domain Knowledge Authors: Olga Andreeva: University of Massachusetts Boston; Wei Li: Wuhan University; Wei Ding: University of Massachusetts Boston; Marieke Kuijjer: Centre for Molecular Medicine Norway, University of Oslo; John Quackenbush: Dana-Farber Cancer Institute; Ping Chen: University of Massachusetts Boston
  • Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations Authors: Daniel Zügner: Technical University of Munich; Stephan Günnemann: Technical University of Munich
  • CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams Authors: Tomas Martin: UQAM; Petko Valtchev: UQAM; Guy Francoeur: UQAM
  • Combinatorial Black-Box Optimization with Expert Advice Authors: Hamid Dadkhahi: IBM Research; Karthikeyan Shanmugam: IBM Research; Jesus Rios: IBM Research; Payel Das: IBM Research; Samuel Hoffman: IBM Research; Troy David Loeffler: ANL; Subramanian Sankaranarayanan: UIC
  • Competitive Analysis for Points of Interest Authors: Shuangli Li: University of Science and Technology of China; Jingbo Zhou: Baidu Inc.; Hao Liu: Business Intelligence Lab, Baidu Research; Xinjiang Lu: Baidu; Tong Xu: University of Science and Technology of China; Hui Xiong: the State University of New Jersey
  • COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching Authors: Junyi Gao: IQVIA; Cao Xiao: IQVIA; Lucas Glass: IQVIA; Jimeng Sun: University of Illinois Urbana-Champaign
  • Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems Authors: Hao-Jun Shi: Northwestern University; Dheevatsa Mudigere: Facebook; Maxim Naumov: Facebook; Jiyan Yang: Facebook
  • Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Authors: Zonghan Wu: University of Technology Sydney; Shirui Pan: Monash University; Guodong Long: University of Technology Sydney; Jing Jiang: University of Technology Sydney; Xiaojun Chang: Monash University; Chengqi Zhang: University of Technology Sydney
  • Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems Authors: Zhenxin Fu: Peking University; Shaobo Cui: Alibaba Group; Mingyue Shang: Peking University; Feng Ji: DAMO Academy, Alibaba Group; Dongyan Zhao: Peking University; Haiqing Chen: Alibaba Group; Rui Yan: Peking University
  • CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring Authors: Jiaxin Huang: University of Illinois at Urbana-Champaign; Yiqing Xie: The Hong Kong University of Science and Technology; Yu Meng: University of Illinois at Urbana-Champaign; Yunyi Zhang: University of Illinois at Urbana-Champaign; Jiawei Han: University of Illinois at Urbana-Champaign
  • Correlation Networks for Extreme Multi-label Text Classification Authors: Guangxu Xun: University of Virginia; Kishlay Jha: University of Virginia; Jianhui Sun: University of Virginia; Aidong Zhang: University of Virginia
  • Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions Authors: James McInerney: Netflix; Brian Brost: Spotify; Praveen Chandar: Spotify; Rishabh Mehrotra: Spotify; Ben Carterette: Spotify
  • Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks Authors: Yingxue Zhang: Worcester Polytechnic Institute; Yanhua Li: Worcester Polytechnic Institute; Xun Zhou: University of Iowa; Xiangnan Kong: Worcester Polytechnic Institute; Jun Luo: Lenovo Group Limited
  • CurvaNet: Geometric Deep Learning based on Multi-scale Directional Curvature for 3D Shape Analysis Authors: Wenchong He: University of Alabama; Zhe Jiang: Univ of Alabama; Chengming Zhang: Univ. of Alabama; Arpan Man Sainju: univ. of Alabama
  • Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning Authors: Claudia Plant: Research Group Data Mining, University of Vienna, ds:UniVie; Sonja Biedermann: University of Vienna; Christian Böhm: Ludwig Maximilian University of Munich
  • Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction Authors: Subhabrata Dutta: Jadavpur University, India; Sarah Masud: IIIT-Delhi, India; Soumen Chakrabarti: IIT Bombay, India; Tanmoy Chakraborty: IIIT-Delhi, India
  • Deep Learning of High-Order Interactions for Protein Interface Prediction Authors: Yi Liu: Texas A&M University; Hao Yuan: Texas A&M University; Lei Cai: Washington State University; Shuiwang Ji: Texas A&M University
  • Deep State-Space Generative Model For Correlated Time-to-Event Predictions Authors: Yuan Xue: Google; Denny Zhou: Google; Nan Du: Google; Andrew Dai: Google; Zhen Xu: Google; Kun Zhang: Google; Claire Cui: Google
  • DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering Authors: Yuval Heffetz: Ben Gurion University; Roman Vainshtein: Ben Gurion University; Gilad Katz: Ben Gurion University; Lior Rokach: Ben Gurion University
  • DeepSinger: Singing Voice Synthesis with Data Mined From the Web Authors: Yi Ren: Zhejiang University; Xu Tan: Microsoft; Tao Qin: Microsoft; Jian Luan: Microsoft STCA Xiaoice; Zhou Zhao: Zhejiang University; Tie-Yan Liu: Microsoft
  • DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation Authors: Limeng Cui: The Pennsylvania State University; Haeseung Seo: The Pennsylvania State University; Maryam Tabar: The Pennsylvania State University; Fenglong Ma: The Pennsylvania State University; Suhang Wang: The Pennsylvania State University; Dongwon Lee: The Pennsylvania State University
  • Directional Multivariate Ranking Authors: Nan Wang: University of Virginia; Hongning Wang: University of Virginia
  • Discovering Approximate Functional Dependencies using Smoothed Mutual Information Authors: Frédéric Pennerath: CentraleSupélec; Panagiotis Mandros: Max-Planck-Institut für Informatik; Jilles Vreeken: CISPA Helmholtz Center for Information Security
  • Discovering Functional Dependencies from Mixed-Type Data Authors: Panagiotis Mandros: Max Planck Institute for Informatics; David Kaltenpoth: CISPA Helmholtz Center for Information Security; Mario Boley: Monash University; Jilles Vreeken: CISPA Helmholtz Center for Information Security
  • Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity Authors: Jonas Fischer: Max Planck Institute for Informatics; Jilles Vreeken: CISPA Helmholtz Center for Information Security
  • Disentangled Self-Supervision in Sequential Recommenders Authors: Jianxin Ma: Alibaba Group; Tsinghua University; Chang Zhou: Alibaba Group; Hongxia Yang: Alibaba Group; Cui Peng: Tsinghua University; Xin Wang: Tsinghua University; Wenwu Zhu: Tsinghua University
  • Diverse Rule Sets Authors: Guangyi Zhang: KTH Royal Institute of Technology; Aristides Gionis: KTH Royal Institute of Technology
  • Dual Channel Hypergraph Collaborative Filtering Authors: Shuyi Ji: Tsinghua University; Yifan Feng: Xiamen University; Rongrong Ji: Xiamen University; Xibin Zhao: Tsinghua University; Wanwan Tang: Baidu, Inc.; Yue Gao: Tsinghua University
  • Dynamic Knowledge Graph based Multi-Event Forecasting Authors: Songgaojun Deng: Stevens Institute of Technology; Huzefa Rangwala: George Mason University; Yue Ning: Stevens Institute of Technology
  • Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data Authors: Kenta Niwa: NTT Corporation; Noboru Harada: NTT Corporation; Guoqiang Zhang: University Technology of Sydney; Bastiaan Kleijn: Victoria University of Wellington
  • Efficient Algorithm for the b-Matching Graph Authors: Yasuhiro Fujiwara: NTT; Atsutoshi Kumagai: NTT; Sekitoshi Kanai: NTT; Yasutoshi Ida: NTT; Naonori Ueda: NTT
  • Enterprise Cooperation and Competition Analysis with Sign-Oriented Preference Network Authors: Le Dai: University of Science and Technology of China; Yu Yin: University of Science and Technology of China; Chuan Qin: University of Science and Technology of China; Tong Xu: University of Science and Technology of China; Xiangnan He: University of Science and Technology of China; Enhong Chen: University of Science and Technology of China; Hui Xiong: University of Science and Technology of China
  • Estimating Properties of Social Networks via Random Walk considering Private Nodes Authors: Kazuki Nakajima: Tokyo Institute of Technology; Kazuyuki Shudo: Tokyo Institute of Technology
  • Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory Authors: Andre Vignatti: UFPR; Murilo da Silva: UFPR; Alane de Lima: UFPR
  • Evaluating Conversational Recommender Systems via User Simulation Authors: Shuo Zhang: University of Stavanger; Krisztian Balog: University of Stavanger
  • Evaluating Fairness using Permutation Tests Authors: Cyrus DiCiccio: Linkedin Corporation; Sriram Vasudevan: Linkedin Corporation; Kinjal Basu: Linkedin Corporation; Krishnaram Kenthapadi: Amazon AWS AI; Deepak Agarwal: Linkedin Corporation
  • Fast R-STL: Efficient and Robust Seasonal-Trend Decompositionfor Time Series with Complex Patterns Authors: Qingsong Wen: Alibaba Group U.S.; Zhe Zhang: Alibaba Group U.S.; Yan Li: Alibaba Group U.S.; Liang Sun: Alibaba Group U.S.
  • Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning Authors: Jing-Han Wu: Southeast University; Xuan Wu: Alibaba Group; Qing-Guo Chen: Alibaba Group; Yao Hu: Alibaba Group; Min-Ling Zhang: Southeast University
  • FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems Authors: Khalil Muhammad: Insight Centre for Data Analytics, University College Dublin; Qinqin Wang: Insight Centre for Data Analytics, University College Dublin; Diarmuid O' Reilly-Morgan: Insight Centre for Data Analytics, University College Dublin; Elias Tragos: Insight Centre for Data Analytics, University College Dublin; Barry Smyth: Insight Centre for Data Analytics, University College Dublin; Neil Hurley: Insight Centre for Data Analytics, University College Dublin; James Geraci: Samsung Electronics; Aonghus Lawlor: Insight Centre for Data Analytics, University College Dublin
  • Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands Authors: Lu Chen: Swinburne University of Technology; Chengfei Liu: Swinburne University of Technology; Rui Zhou: Swinburne University of Technology; Jiajie Xu: Soochow University; Jeffrey Xu Yu: The Chinese University of Hong Kong; Jianxin Li: Deakin University
  • FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents Authors: Bill Yuchen Lin: University of Southern California; Ying Sheng: Google; Nguyen Vo: Google; Sandeep Tata: Google
  • From Online to Non-i.i.d. Batch Learning Authors: Yufei Tao: The Chinese University of Hong Kong; Shangqi Lu: The Chinese University of Hong Kong
  • GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training Authors: Jiezhong Qiu: Tsinghua University; Qibin Chen: Tsinghua University; Yuxiao Dong: Microsoft; Jing Zhang: Renmin University; Hongxia Yang: DAMO Academy, Alibaba Group; Ming Ding: Tsinghua University; Kuansan Wang: Microsoft; Jie Tang: Tsinghua University
  • Generic Outlier Detection in Multi-Armed Bandit Authors: Yikun Ban: University of Illinois at Urbana-Champaign; Jingrui He: University of Illinois at Urbana-Champaign
  • Geodesic Forests Authors: Meghana Madhyastha: Johns Hopkins University; Gongkai Li: Johns Hopkins University; Veronika Strnadova-Neeley: Montana State University; James Browne: Johns Hopkins University; Joshua T. Vogelstein: Johns Hopkins University; Randall Burns: Johns Hopkins University; Carey E. Priebe: Johns Hopkins University
  • Geography-Aware Sequential Location Recommendation Authors: Defu Lian: University of Science and Technology of China; Yongji Wu: University of Science and Technology of China; Yong Ge: University of Arizona; Xing Xie: Microsoft Research Asia; Enhong Chen: University of Science and Technology of China
  • GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases Authors: Zongyue Qin: Peking University; Yunsheng Bai: University of California, Los Angeles; Yizhou Sun: University of California, Los Angeles
  • GPT-GNN: Generative Pre-Training of Graph Neural Networks Authors: Ziniu Hu: University of California, Los Angeles; Yuxiao Dong: Microsoft; Kuansan Wang: Microsoft; Kai-Wei Chang: University of California, Los Angeles; Yizhou Sun: University of California, Los Angeles
  • GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model Authors: Thai Le: The Pennsylvania State University; Suhang Wang: The Pennsylvania State University; Dongwon Lee: The Pennsylvania State University
  • Grammatically Recognizing Images with Tree Convolution Authors: Guangrun Wang: Sun Yat-sen University; Guangcong Wang: Sun Yat-Sen University; Keze Wang: University of California, Los Angeles; Xiaodan Liang: Sun Yat-sen University; Liang Lin: Sun Yat-Sen University
  • Graph Attention Networks over Edge Content-Based Channels Authors: Lu Lin: University of Virginia; Hongning Wang: University of Virginia
  • Graph Structural-topic Neural Network Authors: Qingqing Long: Peking University; Yilun Jin: The Hong Kong University of Science and Technology; Guojie Song: Room 2307 in Science Building Two, Peking University, Beijing, China; Yi Li: Peking University; Wei Lin: Alibaba Inc.
  • Graph Structure Learning for Robust Graph Neural Networks Authors: Wei Jin: Michigan State University; Yao Ma: Michigan State University; Xiaorui Liu: Michigan State University; Xianfeng Tang: Pennsylvania State University; Suhang Wang: Pennsylvania State University; Jiliang Tang: Michigan State University
  • Grounding Visual Concepts for Multimedia Event Detection and Multimedia Event Captioning in Zero-shot Setting Authors: Zhihui Li: University of New South Wales; Xiaojun Chang: Monash University; Lina Yao: University of New South Wales; Shirui Pan: Monash University; Zongyuan Ge: Monash University; Huaxiang Zhang: Shandong Normal University
  • Handling Information Loss of Graph Neural Networks for Session-based Recommendation Authors: Tianwen Chen: The Hong Kong University of Science and Technology; Raymond Chi-Wing Wong: The Hong Kong University of Science and Technology
  • Heidegger: Interpretable Temporal Causal Discovery Authors: Mehrdad Mansouri: Simon Fraser University; Ali Arab: Simon Fraser University; Zahra Zohrevand: Simon Fraser University; Martin Eser: Simon Fraser University
  • HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification Authors: Zhihua Zhu: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Xinxin Fan: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Xiaokai Chu: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Jingping Bi: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
  • HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness Authors: Jiayi Chen: University of Virginia; Aidong Zhang: University of Virginia
  • Hierarchical Attention Propagation for Healthcare Representation Learning Authors: Muhan Zhang: Washington University in St. Louis; Christopher King: Washington University in St. Louis; Michael Avidan: Washington University in St. Louis; Yixin Chen: Washington University in St. Louis
  • Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding Authors: Yu Meng: University of Illinois at Urbana-Champaign; Yunyi Zhang: University of Illinois at Urbana-Champaign; Jiaxin Huang: University of Illinois Urbana-Champaign; Yu Zhang: University of Illinois at Urbana-Champaign; Chao Zhang: Georgia Institute of Technology; Jiawei Han: University of Illinois at Urbana-Champaign
  • High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder Authors: Nicholas Gao: NASA Ames Research Center; Max Wilson: NASA Ames Research Center; Thomas Vandal: NASA Ames Research Center; Walter Vinci: NASA Ames Research Center; Ramakrishna Nemani: NASA Ames Research Center; Eleanor Rieffel: NASA Ames Research Center
  • Higher-order Clustering in Complex Heterogeneous Networks Authors: Aldo Carranza: Stanford University; Ryan Rossi: Adobe Research; Anup Rao: Yale University; Eunyee Koh: Adobe
  • HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records Authors: Junyu Luo: The Pennsylvania State University; Muchao Ye: The Pennsylvania State University; Cao Xiao: IQVIA; Fenglong Ma: The Pennsylvania State University
  • HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units Authors: Shenda Hong: Georgia Institute of Technology; Yanbo Xu: Georgia Institute of Technology; Alind Khare: Georgia Institute of Technology; Satria Priambada: Georgia Institute of Technology; Kevin Maher: Children’s Healthcare of Atlanta; Alaa Aljiffry: Children’s Healthcare of Atlanta; Jimeng Sun: University of Illinois Urbana-Champaign; Alexey Tumanov: Georgia Institute of Technology
  • HOPS: Probabilistic Subtree Mining for Small and Large Graphs Authors: Pascal Welke: University of Bonn; Florian Seiffarth: University of Bonn; Michael Kamp: Monash University; Stefan Wrobel: Fraunhofer IAIS & Univ. of Bonn
  • How to count triangles, without seeing the whole graph Authors: Suman Kalyan Bera: UC Santa Cruz; C. Seshadhri: University of California, Santa Cruz
  • Hyperbolic Distance Matrices Authors: Puoya Tabaghi: University of Illinois at Urbana-Champaign; Ivan Dokmani?: University of Basel
  • Hypergraph Clustering Based on PageRank Authors: Yuuki Takai: RIKEN Center for Advanced Intelligence Project / Department of Mathematics, Keio University; Atsushi Miyauchi: RIKEN AIP; Masahiro Ikeda: RIKEN; Yuichi Yoshida: National Institute of Informatics
  • Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder Authors: Changchang Yin: The Ohio State University; Ruoqi Liu: The Ohio State University; Dongdong Zhang: The Ohio State University; Ping Zhang: The Ohio State University
  • Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion Authors: Kun Zhou: Peking University; Xin Zhao: Renmin University of China, School of Information; Shuqing Bian: Renmin University of China; Yuanhang Zhou: Xidian University; Ji-Rong Wen: Renmin University; Jingsong Yu: Peking University
  • Imputing Various Incomplete Attributes via Distance Likelihood Maximization Authors: Shaoxu Song: Tsinghua University; Yu Sun: Tsinghua University
  • In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints Authors: Domenico Mandaglio: University of Calabria; Andrea Tagarelli: University of Calabria; Francesco Gullo: UniCredit
  • Incremental Lossless Graph Summarization Authors: Jihoon Ko: Korea Advanced Institute of Science and Technology; Yunbum Kook: Korea Advanced Institute of Science and Technology; Kijung Shin: Korea Advanced Institute of Science and Technology
  • Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams Authors: Pengyang Wang: University of Central Florida; Kunpeng Liu: University of Central Florida; Lu Jiang: Northeast Normal University; Yanjie Fu: University of Central Florida; Xiaolin Li: Nanjing University
  • InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity Authors: Sudhanshu Chanpuriya: University of Massachusetts Amherst; Cameron Musco: University of Massachusetts Amherst
  • InFoRM: Individual Fairness on Graph Mining Authors: Jian Kang: University of Illinois at Urbana-Champaign; Jingrui He: University of Illinois at Urbana-Champaign; Ross Maciejewski: Arizona State University; Hanghang Tong: University of Illinois at Urbana-Champaign
  • INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare Authors: Xianli Zhang: Xi'an Jiaotong University; Buyue Qian: Xi'an Jiaotong University; Shilei Cao: Tencent Jarvis Lab; Yang Li: Xi'an Jiaotong University; Hang Chen: Xi'an Jiaotong University; Yefeng Zheng: Tencent Jarvis Lab; Ian Davidson: University of California - Davis
  • Interactive Path Reasoning on Graph for Conversational Recommendation Authors: Wenqiang Lei: National University of Singapore; Gangyi Zhang: University of Science and Technology of China; Xiangnan He: University of Science and Technology of China; Yisong Miao: National University of Singapore; Xiang Wang: National University of Singapore; Liang Chen: Sun Yat-Sen University; Tat-Seng Chua: National University of Singapore
  • Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense Authors: Jingyuan Wang: Beihang University; Yufan Wu: Beihang University; Mingxuan Li: Beihang University; Xin Lin: Beihang University; Junjie Wu: Beihang University; Chao Li: Beihang University
  • Isolation Distributional Kernel: A new tool for kernel based anomaly detection Authors: Kai Ming Ting: Nanjing University; Takashi Washio: Osaka University; Bi-Cun Xu: Nanjing University; Zhi-Hua Zhou: Nanjing University
  • Joint Policy-Value Learning for Recommendation Authors: Olivier Jeunen: University of Antwerp; David Rohde: Criteo; Flavian Vasile: Criteo; Martin Bompaire: Criteo
  • Kernel Assisted Learning for Personalized Dose Finding Authors: Liangyu Zhu: North Carolina State University; Wenbin Lu: North Carolina State University; Michael R. Kosorok: University of North Carolina at Chapel Hill; Rui Song: North Carolina State University
  • Kronecker Attention Networks Authors: Hongyang Gao: Texas A&M University; Zhengyang Wang: Texas A&M University; Shuiwang Ji: Texas A&M University
  • Laplacian Change Point Detection for Dynamic Graphs Authors: Shenyang Huang: McGill University, Quebec Institute for Artificial Intelligence (Mila); Yasmeen Hitti: McGill University, Quebec Institute for Artificial Intelligence (Mila); Guillaume Rabusseau: University of Montreal, Quebec Institute for Artificial Intelligence (Mila); Reihaneh Rabbany: McGill University, Quebec Institute for Artificial Intelligence (Mila)
  • LayoutLM: Pre-training of Text and Layout for Document Image Understanding Authors: Yiheng Xu: Harbin Institute of Technology; Minghao Li: Beihang University; Lei Cui: Microsoft Research Asia; Shaohan Huang: Microsoft Research Asia; Furu Wei: Microsoft Research Asia; Ming Zhou: Microsoft Research Asia
  • Learning Based Distributed Tracking Authors: Hao Wu: The University of Melbourne; Junhao Gan: The University of Melbourne; Rui Zhang: The University of Melbourne
  • Learning Effective Road Network Representation with Hierarchical Graph Neural Networks Authors: Ning Wu: Beihang University; Xin Zhao: Renmin University of China; Jingyuan Wang: Beihang University; Dayan Pan: Beihang University
  • Learning Opinion Dynamics From Social Traces Authors: Corrado Monti: ISI Foundation; Gianmarco De Francisci Morales: ISI Foundation; Francesco Bonchi: Fondazione ISI
  • Learning Stable Graphs from Heterogeneous Confounded Environments Authors: Yue He: Tsinghua University; Peng Cui: Tsinghua University; Jianxin Ma: Tsinghua University; Zou Hao: Tsinghua University; Xiaowei Wang: Alibaba; Hongxia Yang: Alibaba; Philip S. Yu: University of Illinois at Chicago IL, USA
  • Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach Authors: Qifan Wang: Google Research; Li Yang: Google Research; Bhargav Kanagal: Google Research; Sumit Sanghai: Google Research; D. Sivakumar: Google Research; Bin Shu: Google; Zac Yu: Google; Jon Elsas: Google
  • Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling Authors: Jianwen Yin: zhejiang university; Chenghao Liu: Singapore Management University; Weiqing Wang: Monash University; Jianling Sun: Zhejiang University; Steven C.H. Hoi: Salesforce Research Asia
  • Leveraging Model Inherent Variable Importance for Stable Online Feature Selection Authors: Johannes Haug: University of Tuebingen; Martin Pawelczyk: University of Tuebingen; Klaus Broelemann: Schufa Holding AG; Gjergji Kasneci: University of Tuebingen
  • List-wise Fairness Criterion for Point Processes Authors: Jin Shang: Louisiana State University; Mingxuan Sun: Louisiana State University; Nina S. N. Lam: Louisiana State University
  • Local Community Detection in Multiple Networks Authors: Dongsheng Luo: The Pennsylvania State University; Yuchen Bian: Baidu Research USA; Yaowei Yan: The Pennsylvania State University; Xiao Liu: The Pennsylvania State University; Jun Huan: Baidu; Xiang Zhang: The Pennsylvania State University
  • Local Motif Clustering on Time-Evolving Graphs Authors: Dongqi Fu: University of Illinois at Urbana-Champaign; Dawei Zhou: University of Illinois at Urbana-Champaign; Jingrui He: University of Illinois at Urbana-Champaign
  • LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values Authors: Kejing Yin: Hong Kong Baptist University; Ardavan Afshar: Georgia Institute of Technology; Joyce Ho: Emory University; William Cheung: Hong Kong Baptist University; Chao Zhang: Georgia Institute of Technology; Jimeng Sun: University of Illinois Urbana-Champaign
  • Malicious Attacks against Deep Reinforcement Learning Interpretations Authors: Mengdi Huai: University of Virginia; Jianhui Sun: University of Virginia; Renqin Cai: University of Virginia; Liuyi Yao: University of New York at Buffalo; Aidong Zhang: University of Virginia
  • MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation Authors: Manqing Dong: University of New South Wales; Feng Yuan: University of New South Wales; Lina Yao: University of New South Wales; Xiwei Xu: Data 61; Liming Zhu: Data 61
  • MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining Authors: Leonardo Pellegrina: University of Padova; Cyrus Cousins: Brown University; Fabio Vandin: University of Padova; Matteo Riondato: Amherst College
  • Measuring Model Complexity of Neural Networks with Curve Activation Functions Authors: Xia Hu: Simon Fraser University and Microsoft Research Asia; Weiqing Liu: Microsoft Research Asia; Jiang Bian: Microsoft Research Asia; Jian Pei: Simon Fraser University
  • Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation Authors: Yuanfu Lu: Beijing University of Posts and Telecommunications; Yuan Fang: Singapore Management University; Chuan Shi: Beijing University of Posts and Telecommunications
  • Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks Authors: Weilin Cong: The Pennsylvania State University; Rana Forsati: Microsoft Bing; Mahmut Kandemir: The Pennsylvania State University; Mehrdad Mahdavi: The Pennsylvania State University
  • Minimizing Localized Ratio Cut Objectives in Hypergraphs Authors: Nate Veldt: Cornell University; Austin Benson: Cornell University; Jon Kleinberg: Cornell University
  • Mining large quasi-cliques with quality guarantees from vertex neighborhoods Authors: Aritra Konar: University of Virginia; Nicholas Sidiropoulos: University of Virginia
  • Mining Persistent Activity in Continually Evolving Networks Authors: Caleb Belth: University of Michigan; Xinyi Zheng: University of Michigan; Danai Koutra: University of Michigan
  • MinSearch: An Efficient Algorithm for Similarity Search under Edit Distance Authors: Haoyu Zhang: Indiana University Bloomington; Qin Zhang: Indiana University Bloomington
  • Missing Value Imputation for Mixed Data via Gaussian Copula Authors: Yuxuan Zhao: Cornell University; Madeleine Udell: Cornell University
  • MoFlow: An Invertible Flow Model for Generating Molecular Graphs Authors: Chengxi Zang: Cornell University; Fei Wang: Cornell University
  • Multi-class Data Description for Out-of-distribution Detection Authors: Dongha Lee: Pohang University of Science and Technology; Sehun Yu: Pohang University of Science and Technology; Hwanjo Yu: Pohang University of Science and Technology
  • Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction Authors: Hongxu Chen: University of Technology Sydney; Hongzhi Yin: The University of Queensland; Xiangguo Sun: Southeast University; Tong Chen: The University of Queensland; Bogdan Gabrys: University of Technology Sydney; Katarzyna Musial: University of Technology Sydney
  • Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data Authors: Garrett Wilson: Washington State University; Janardhan Rao Doppa: Washington State University; Diane J. Cook: Washington State University
  • MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals Authors: Namyong Park: Carnegie Mellon University; Andrey Kan: Amazon; Xin Luna Dong: Amazon; Tong Zhao: Amazon; Christos Faloutsos: Carnegie Mellon University and Amazon
  • Multimodal Learning with Incomplete Modalities by Knowledge Distillation Authors: Qi Wang: Michigan State University; Liang Zhan: University of Pittsburgh; Paul Thompson: University of Southern California; Jiayu Zhou: Michigan State University
  • NetTrans: Neural Cross-Network Transformation Authors: Si Zhang: University of Illinois Urbana-Champaign; Hanghang Tong: University of Illinois Urbana-Champaign; Yinglong Xia: Facebook; Liang Xiong: Facebook; Jiejun Xu: HRL Laboratories, LLC.
  • Neural Dynamics on Complex Networks Authors: Chengxi Zang: Cornell University; Fei Wang: Cornell University
  • Neural Subgraph Isomorphism Counting Authors: Xin Liu: The Hong Kong University of Science and Technology; Haojie Pan: The Hong Kong University of Science and Technology; Mutian He: The Hong Kong University of Science and Technology; Yangqiu Song: The Hong Kong University of Science and Technology; Xin Jiang: Huawei Technologies Co. Ltd; Lifeng Shang: Huawei Technologies Co. Ltd
  • Node-Edge Co-disentangled Representation Learning for Attributed Graph Generation Authors: Xiaojie Guo: George Mason University; Liang Zhao: George Mason University; Zhao Qin: Syracuse University; Lingfei Wu: IBM Research AI; Amarda Shehu: George Mason University; Yanfang Ye: West Virginia University
  • NodeAug: Semi-Supervised Node Classification with Data Augmentation Authors: Yiwei Wang: National University of Singapore; Wei Wang: National University of Singapore; Yuxuan Liang: National University of Singapore; Yujun Cai: Nanyang Technological University; Juncheng Liu: National University of Singapore; Bryan Hooi: National University of Singapore
  • Non-Linear Mining of Social Activities in Tensor Streams Authors: Koki Kawabata: ISIR, Osaka University; Yasuko Matsubara: ISIR, Osaka University; Takato Honda: ISIR, Osaka University; Yasushi Sakurai: ISIR, Osaka University
  • Off-policy Bandits with Deficient Support Authors: Noveen Sachdeva: IIIT Hyderabad; Yi Su: Cornell University; Thorsten Joachims: Cornell University
  • On Sampled Metrics for Item Recommendation Authors: Walid Krichene: Google; Steffen Rendle: Google
  • On Sampling Top-K Recommendation Evaluation Authors: Dong Li: Kent State University; Ruoming Jin: Kent State University; Jing Gao: iLambda; Zhi Liu: iLambda
  • Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System Authors: Yipeng Zhang: Wuhan University; Bo Du: Wuhan University; Lefei Zhang: Wuhan University; Jia Wu: Macquarie University
  • Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs Authors: Nate Veldt: Cornell University; David F. Gleich: Purdue University; Anthony Wirth: The University of Melbourne
  • Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism Authors: Gengyu Lyu: School of Computer and Information Technology, Beijing Jiaotong University; Songhe Feng: School of Computer and Information Technology, Beijing Jiaotong University; Yidong Li: School of Computer and Information Technology, Beijing Jiaotong University
  • Personalized PageRank to a Target Node, Revisited Authors: Hanzhi Wang: Renmin University of China; Zhewei Wei: Renmin University of China; Junhao Gan: University of Melbourne; Sibo Wang: The Chinese University of Hong Kong; Zengfeng Huang: Fudan University
  • PolicyGNN: Aggregation Optimization for Graph Neural Networks Authors: Kwei Herng Lai: Texas A&M University; Daochen Zha: Texas A&M University; Kaixiong Zhou: Texas A&M University; Xia Hu: Texas A&M University
  • Predicting Temporal Sets with Deep Neural Networks Authors: Le Yu: Beihang University; Leilei Sun: Beihang University; Bowen Du: Beihang University; Chuanren Liu: University of Tennessee; Hui Xiong: Rutgers University; Weifeng Lv: Beihang University
  • Prediction and Profiling of Audience Competition for Online Television Series Authors: Peng Zhang: Alibaba Group; Chuanren Liu: University of Tennessee; Kefeng Ning: Alibaba Group; Wenxiang Zhu: Alibaba Group; Yu Zhang: Alibaba Group
  • Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction Authors: Haoxing Lin: University of Macau; Rufan Bai: University of Macau; Weijia Jia: University of Macau; Xinyu Yang: University of Macau; Yongjian You: Shanghai Jiao Tong University
  • Prioritized Restreaming Algorithms for Balanced Graph Partitioning Authors: Amel Awadelkarim: Stanford University; Johan Ugander: Stanford University
  • Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation Authors: Chen Ma: McGill University; Liheng Ma: McGill University; Yingxue Zhang: Huawei Technologies Canada; Ruiming Tang: Huawei Noah's Ark Lab; Xue Liu: McGill University; Mark Coates: McGill University
  • RayS: A Ray Searching Method for Hard-label Adversarial Attack Authors: Jinghui Chen: University of California, Los Angeles; Quanquan Gu: University of California, Los Angeles
  • Re-identification Attack to Privacy-Preserving Data Analysis with Noisy Sample-Mean Authors: Du Su: University of Illinois, Urbana-Champaign; Wenmiao Lu: Verizon Media; Hieu Tri Huynh: University of Illinois, Urbana-Champaign; Ziao Chen: University of Illinois, Urbana-Champaign; Yi Lu: University of Illinois at Urbana-Champaign
  • REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs Authors: Shichao Pei: King Abdullah University of Science and Technology; Lu Yu: KAUST; Guoxian Yu: King Abdullah University of Science and Technology; Xiangliang Zhang: King Abdullah University of Science and Technology
  • Reciptor: An Effective Pretrained Model for Recipe Representation Learning Authors: Diya Li: Rensselaer Polytechnic Institute; Mohammed Zaki: Rensselaer Polytechnic Institute
  • RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift Authors: Lan-Zhe Guo: Nanjing University; Zhi Zhou: Nanjing University; Yu-Feng Li: Nanjing University
  • Recurrent Halting Chain for Early Multi-label Classification Authors: Thomas Hartvigsen: Worcester Polytechnic Institute; Cansu Sen: Worcester Polytechnic Institute; Xiangnan Kong: Worcester Polytechnic Institute; Elke Rundensteiner: Worcester Polytechnic Institute
  • Recurrent Networks for Guided Multi-Attention Classification Authors: Xin Dai: Worcester Polytechnic Institute; Xiangnan Kong: Worcester Polytechnic Institute; Tian Guo: Worcester Polytechnic Institute; John Lee: Worcester Polytechnic Institute; Xinyue Liu: Worcester Polytechnic Institute; Constance Moore: University of Massachusetts Medical School
  • Redundancy-Free Computation for Graph Neural Networks Authors: Zhihao Jia: Stanford Universiity; Sina Liin: Microsoft; Rex Ying: Stanford University; Jiaxuan You: Stanford University; Alexandra Porter: Stanford University; Jure Leskovec: Stanford University; Alex Aiken: Stanford University
  • Representing Temporal Attributes for Schema Matching Authors: Yinan Mei: Tsinghua University; Shaoxu Song: Tsinghua University; Yunsu Lee: Samsung Research; Jungho Park: Samsung Research; Soo-Hyung Kim: Samsung Research; Sungmin Yi: Samsung Research
  • Residual Correlation in Graph Neural Network Regression Authors: Junteng Jia: Cornell University; Austin Benson: Cornell University
  • Rethinking Pruning for Accelerating Deep Inference At the Edge Authors: Dawei Gao: Beihang University; Xiaoxi He: ETH Zürich; Zimu Zhou: Singapore Management University; Yongxin Tong: Beihang University; Ke Xu: Beihang University; Lothar Thiele: ETH Zürich
  • Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks Authors: Surgan Jandial: IIT Hyderabad; Ayush Chopra: Media and Data Science Research Lab, Adobe; Mausoom Sarkar: Media and Data Science Research Lab, Adobe; Piyush Gupta: Media and Data Science Research Lab, Adobe; Balaji Krishnamurthy: Media and Data Science Research Lab, Adobe; Vineeth Balasubramanian: IIT Hyderabad
  • Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC Authors: Yuichiro Ueno: Tokyo Institute of Technology; Kazuki Osawa: Tokyo Institute of Technology; Yohei Tsuji: Tokyo Institute of Technology; Akira Naruse: NVIDIA; Rio Yokota: Tokyo Institute of Technology
  • Robust Spammer Detection by Nash Reinforcement Learning Authors: Yingtong Dou: University of Illinois at Chicago; Guixiang Ma: Intel Labs; Philip S. Yu: University of Illinois at Chicago; Sihong Xie: Lehigh University
  • Scaling choice models of relational social data Authors: Jan Overgoor: Stanford University; George Pakapol Supaniratisai: Stanford University; Johan Ugander: Stanford University
  • SCE: Scalable Newtork Embedding from Sparsest Cut Authors: Shengzhong Zhang: Fudan University; Zengfeng Huang: The University of New South Wales; Haicang Zhou: Fudan University; Ziang Zhou: Fudan University
  • SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks Authors: Yao Zhang: Fudan University; Yun Xiong: Fudan University; Yun Ye: Ant Financial Services Group; Tengfei Liu: Ant Financial Services Group; Weiqiang Wang: Ant Financial Services Group; Yangyong Zhu: Fudan University; Philip S. Yu: UIC
  • Semantic Search in Millions of Equations Authors: Lukas Pfahler: TU Dortmund University; Katharina Morik: TU Dortmund University
  • Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation Authors: Wenhui Yu: Tsinghua University; Xiao Lin: Alibaba Group; Junfeng Ge: Alibaba Group; Wenwu Ou: Alibaba Group; Zheng Qin: Tsinghua University
  • Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model Authors: Wanli Shi: Nanjing University of Information Science & Technology; Bin Gu: Nanjing University of Information Science & Technology; Xiang Li: University of Western Ontario; Victor S Sheng: Texas Tech University
  • Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows Authors: Xiangyang Gou: Peking University; Long He: Peking University; Yinda Zhang: Peking University; Ke Wang: Peking University; Xilai Liu: Peking University; Tong Yang: Peking University; Yi Wang: Southern University of Science and Technology; Bin Cui: Peking University
  • Spectrum-Guided Adversarial Disparity Learning Authors: Zhe Liu: The University of New South Wales; Lina Yao: University of New South Wales; Lei Bai: University of New South Wales; Xianzhi Wang: University of Technology Sydney; Can Wang: Griffith University
  • SSumM: Sparse Summarization of Massive Graphs Authors: Kyuhan Lee: Korea Advanced Institute of Science and Technology; Hyeonsoo Jo: Korea Advanced Institute of Science and Technology; Jihoon Ko: Korea Advanced Institute of Science and Technology; Sungsu Lim: Chungnam National University; Kijung Shin: Korea Advanced Institute of Science and Technology
  • ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification Authors: Huimin Ren: Worcester Polytechnic Institute; Menghai Pan: Worcester Polytechnic Institute; Yanhua Li: Worcester Polytechnic Institute; Xun Zhou: The University of Iowa; Jun Luo: Lenovo Group Limited
  • Stable Learning via Differentiated Variable Decorrelation Authors: Zheyean Shen: Tsinghua University; Peng Cui: Tsinghua University; Jiashuo Liu: Tsinghua University; Tong Zhang: Hong Kong University of Science and Technology; Bo Li: Tsinghua University; Zhitang Chen: Huawei Noah's Ark Lab
  • Statistically Significant Pattern Mining with Ordinal Utility Authors: Thien Q. Tran: University of Tsukuba; Kazuto Fukuchi: University of Tsukuba; Youhei Akimoto: University of Tsukuba; Jun Sakuma: University of Tsukuba
  • STEAM: Self-Supervised Taxonomy Expansion via Path-Based Multi-View Co-Training Authors: Yue Yu: Georgia Institute of Technology; Yinghao Li: Georgia Institute of Technology; Jiaming Shen: University of Illinois at Urbana Champaign; Hao Feng: UESTC; Jimeng Sun: University of Illinois at Urbana Champaign; Chao Zhang: Georgia Institute of Technology
  • Structural Patterns and Generative Models of Real-world Hypergraphs Authors: Manh Tuan Do: Korea Advanced Institute of Science and Technology; Se-eun Yoon: Korea Advanced Institute of Science and Technology; Bryan Hooi: National University of Singapore; Kijung Shin: Korea Advanced Institute of Science and Technology
  • Targeted Data-driven Regularization for Out-of-Distribution Generalization Authors: Mohammad Mahdi Kamani: The Pennsylvania State University; Sadegh Farhang: Pennsylvania State University; Mehrdad Mahdavi: The Pennsylvania State University; James Wang: The Pennsylvania State University
  • Task-Adaptive Graph Meta-learning Authors: Qiuling Suo: University at buffalo; Jingyuan Chou: University of Virginia; Weida Zhong: University at Buffalo; Aidong Zhang: University of Virginia
  • The NodeHopper: Enabling low latency ranking with constraints via a fast dual solver Authors: Ivan Lobov: DeepMind; Krishnamurthy Dj Dvijotham: DeepMind; Anton Zhernov: DeepMind; Dan A. Calian: DeepMind; Michelle Gong: DeepMind; Timothy A. Mann: DeepMind; Natarajan Chandrashekar: Google
  • The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments Authors: Shengmin Jin: Syracuse University; Reza Zafarani: Syracuse University
  • Tight Sensitivity Bounds For Smaller Coresets Authors: Alaa Maalouf: University of Haifa; Adiel Statman: University of Haifa; Dan Feldman: University of Haifa
  • TinyGNN: Learning Efficient Graph Neural Networks Authors: Bencheng Yan: Tsinghua University; Chaokun Wang: Tsinghua University; Gaoyang Guo: Tsinghua University; Yunkai Lou: Tsinghua University
  • TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations Authors: Ang Li: Duke University; Yixiao Duan: Beihang University; Huanrui Yang: Duke University; Yiran Chen: Duke University; Jianlei Yang: Beihang University
  • Towards Automated Neural Interaction Discovering for Click-Through Rate Prediction Authors: Qingquan Song: Texas A&M University; Dehua Cheng: Facebook Inc.; Eric Zhou: Facebook Inc.; Jiyan Yang: Facebook Inc.; Yuandong Tian: Facebook Inc.; Xia Hu: Texas A&M University
  • Towards Deeper Graph Neural Networks Authors: Meng Liu: Texas A&M University; Hongyang Gao: Texas A&M University; Shuiwang Ji: Texas A&M University
  • Towards Fair Truth Discovery from Biased Crowdsourced Answers Authors: Yanying Li: Stevens Institute of Technology; Haipei Sun: Stevens Institute of Technology; Wendy Hui Wang: Stevens Institute of Technology
  • Towards physics-informed deep learning for turbulent flow prediction Authors: Rui Wang: Northeastern University; Karthik Kashinath: Lawrence Berkeley National Laboratory; Mustafa Mustafa: Lawrence Berkeley National Laboratory; Adrian Albert: Lawrence Berkeley National Laboratory; Rose Yu: Northeastern University
  • TranSlider: Transfer Ensemble Learning from Exploitation to Exploration Authors: Kuo Zhong: Graduate school at ShenZhen?Tsinghua university; Ying Wei: Tencent AI Lab; Chun Yuan: Graduate school at ShenZhen?Tsinghua university; Haoli Bai: The Chinese University of Hong Kong; Junzhou Huang: Tencent AI Lab
  • Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes Authors: Soorajnath Boominathan: Massachusetts Institute of Technology; Michael Oberst: Massachusetts Institute of Technology; Helen Zhou: Carnegie Mellon University; Sanjat Kanjilal: Harvard Medical School and Harvard Pilgrim Healthcare Institute, Department of Population Medicine; David Sontag: Massachusetts Institute of Technology
  • Truth Discovery against Strategic Sybil Attack in Crowdsourcing Authors: Yue Wang: Simon Fraser University; Ke Wang: Simon Fraser University; Chunyan Miao: Nanyang Technological University
  • Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping Authors: Susik Yoon: Korea Advanced Institute of Science and Technology; Jae-Gil Lee: Korea Advanced Institute of Science and Technology; Byung Suk Lee: University of Vermont
  • Understanding Negative Sampling in Graph Representation Learning Authors: Zhen Yang: Department of Computer Science and Technology, Tsinghua University; Ming Ding: Department of Computer Science and Technology, Tsinghua University; Chang Zhou: DAMO Academy, Alibaba Group; Hongxia Yang: DAMO Academy, Alibaba Group; Jingren Zhou: DAMO Academy, Alibaba Group; Jie Tang: Department of Computer Science and Technology, Tsinghua University
  • Unsupervised Differentiable Multi-aspect Network Embedding Authors: Chanyoung Park: University of Illinois at Urbana-Champaign; Carl Yang: University of Illinois at Urbana-Champaign; Qi Zhu: University of Illinois at Urbana-Champaign; Donghyun Kim: Yahoo Research; Hwanjo Yu: POSTECH; Jiawei Han: University of Illinois at Urbana-Champaign
  • Unsupervised Paraphrasing via Deep Reinforcement Learning Authors: Muhammad Abu Bakar Siddique: University of California, Riverside; Samet Oymak: University of California, Riverside; Vagelis Hristidis: University of California, Riverside
  • Vamsa: Automated Provenance Tracking in Data Science Scripts Authors: Mohammad Hossein Namaki: Washington State University; Avrilia Floratou: Microsoft; Fotis Psallidas: Microsoft; Subru Krishnan: Microsoft; Ashvin Agrawal: Microsoft; Yinghui Wu: Case Western Reserve University; Yiwen Zhu: Microsoft; Markus Weimer: Microsoft
  • Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear Interpolation Authors: Vladislav Polianskii: KTH Royal Institute of Technology; Florian T. Pokorny: KTH Royal Institute of Technology
  • Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning Authors: Chao Li: Xidian University; Haoteng Tang: University of Pittsburgh; Cheng Deng: Xidian University; Liang Zhan: University of Pittsburgh; Wei Liu: Tencent
  • WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams Authors: Jizhou Li: Peking University Shenzhen Graduate School; Zikun Li: Peking University; Yifei Xu: Peking University; Shiqi Jiang: Peking University; Tong Yang: Peking University; Bin Cui: Peking University; Yafei Dai: Peking University; Gong Zhang: Huawei Technologies
  • WeightGrad: Geo-Distributed Data Analysis Using Quantization for Faster Convergence and Better Accuracy Authors: Syeda Nahida Akter: Bangladesh University of Engineering and Technology; Muhammad Abdullah Adnan: University of California San Diego
  • xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis Authors: Menghai Pan: Worcester Polytechnic Institute; Weixiao Huang: Worcester Polytechnic Institute; Yanhua Li: Worcester Polytechnic Institute (WPI); Xun Zhou: University of Iowa; Jun Luo: Lenovo Group Limited
  • XGNN: Towards Model-Level Explanations of Graph Neural Networks Authors: Hao Yuan: Texas A&M University; Jiliang Tang: Michigan State University; Xia Hu: Texas A&M University; Shuiwang Ji: Texas A&M University
  • Z-Miner: an efficient method for mining frequent arrangements of event intervals Authors: Zed Lee: Stockholm University; Tony Lindgren: Stockholm University; Panagiotis Papapetrou: Stockholm University

Applied Data Science Track Papers

  • A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce Authors: Xichuan Niu: Wuhan University; Bofang Li: Alibaba Group; Chenliang Li: Wuhan University; Rong Xiao: Alibaba Group; Haochuan Sun: Alibaba Group; Hongbo Deng: Alibaba Group; Zhenzhong Chen: Wuhan University
  • A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation Authors: Hong Zhang: Tencent; Lan Zhang: University of Science of Technology of China; Lan Xu: Tencent; Xiaoyang Ma: Tencent; Zhengtao Wu: University of Science of Technology of China; Cong Tang: University of Science of Technology of China; Wei Xu: Tencent; Yiguo Yang: Tencent
  • A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario Authors: Monidipa Das: Nayang Technological University NTU Singapore ; Mahardhika Pratama: Nanyang Technological University NTU ; Tegoeh Tjahjowidodo: KU Leuven
  • A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications Authors: Kevin Yancey: Duolingo; Burr Settles: Duolingo
  • Acoustic Measures for Real-Time Voice Coaching Authors: Ying Li: Giving Tech Labs; Abraham Miller: Giving Tech Labs; Arthur Liu: Giving Tech Labs; Kyle Coburn: Giving Tech Labs; Luis Salazar: Giving Tech Labs
  • Ads Allocation in Feed via Constrained Optimization Authors: Jinyun Yan: LinkedIn; Zhiyuan Xu: LinkedIn; Birjodh Tiwana: LinkedIn; Shaunak Chatterjee: LinkedIn
  • An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images Authors: Zekun Li: University of Southern California; Yao-Yi Chiang: University of Southern California; Sasan Tavakkol: Google Research; Basel Shbita: University of Southern California; Johannes H. Uhl: University of Colorado Boulder; Stefan Leyk: University of Colorado Boulder; Craig A. Knoblock: University of Southern California
  • An Empirical Analysis of Backward Compatibility in Machine Learning Systems Authors: Megha Srivastava: Stanford University; Besmira Nushi: Microsoft Research; Ece Kamar: Microsoft Research; Shital Shah: Microsoft Research; Eric Horvitz: Microsoft Research
  • Attention based multi-modal new product sales time-series forecasting Authors: Vijay Ekambaram: IBM Research; Kushagra Manglik: IBM Research; Sumanta Mukherjee: IBM Research; Surya Shravan Kumar Sajja: IBM Research; Satyam Dwivedi: IBM Research; Vikas Raykar: IBM Research
  • Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies Authors: Zhen Qin: Google; Suming J. Chen: University of California Los Angeles ; Donald Metzler: Google; Yongwoo Noh: Google; Jingzheng Qin: Google; Xuanhui Wang: Google
  • AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction Authors: Bin Liu: ByteDance; Chenxu Zhu: Shanghai Jiao Tong University; Guilin Li: Noah s Ark Lab Huawei ; Weinan Zhang: Shanghai Jiao Tong University; Jincai Lai: Noah s Ark Lab Huawei ; Ruiming Tang: Noah s Ark Lab Huawei ; Xiuqiang He: Noah s Ark Lab Huawei ; Zhengguo Li: Noah s Ark Lab Huawei ; Yong Yu: Shanghai Jiao Tong University
  • AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types Authors: Gabriel Blanco Saldana: Amazon; Saurabh Deshpande: Amazon; Xin Luna Dong: Amazon; Xiang He: Amazon; Andrey Kan: Amazon; Xian Li: Amazon; Yan Liang: Amazon; Jun Ma: Amazon; Alexandre Michetti Manduca: Amazon; Jay Ren: Amazon; Surender Pal Singh: Amazon; Fan Xiao: Amazon; Yifan Ethan Xu: Amazon; Chenwei Zhang: Amazon; Tong Zhao: Amazon; Haw-Shiuan Chang: University of Massachusetts Amherst; Giannis Karamanolakis: Columbia University; Yuning Mao: University of Illinois at Urbana Champaign; Yaqing Wang: State University of New York at Buffalo; Christos Faloutsos: Carnegie Mellon University; Andrew McCallum: University of Massachusetts Amherst; Jiawei Han: University of Illinois at Urbana Champaign
  • Automatic Validation of Textual Attribute Values in ECommerce Catalog by Learning with Limited Labeled Data Authors: Yaqing Wang: University at Buffalo SUNY ; Yifan Ethan Xu: Amazon.com; Xian Li: Amazon.com; Xin Luna Dong: Amazon.com; Jing Gao: University at Buffalo
  • Balanced Order Batching with Task-Oriented Graph Clustering Authors: Lu Duan: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Zili Wu: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Guozheng Li: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Yu Gong: Alibaba Group; Xinhang Zhang: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Haoyuan Hu: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Yinghui Xu: Zhejiang Cainiao Supply Chain Management Co. Ltd
  • Bootstrapping Complete The Look at Pinterest Authors: Eileen Li: Pinterest; Eric Kim: Pinterest; Andrew Zhai: Pinterest; Josh Beal: Pinterest; Kunlong Gu: Pinterest
  • Building Continuous Integration Services for Machine Learning Authors: Bojan Karla_: ETH Zurich; Matteo Interlandi: Microsoft; Cedric Renggli: ETH Zurich; Wentao Wu: Microsoft; Ce Zhang: ETH Zurich; Deepak Mukunthu Iyappan Babu: Microsoft; Jordan Edwards: Microsoft; Chris Lauren: Microsoft; Andy Xu: Microsoft; Markus Weimer: Microsoft
  • BusTr: predicting bus travel times from real-time traffic Authors: Richard Barnes: UC Berkeley; Senaka Buthpitiya: Google Research; James Cook: N ne; Alex Fabrikant: Google Research; Andrew Tomkins: Google Research; Fangzhou Xu: Google Research
  • Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors Authors: Daheng Wang: University of Notre Dame; Meng Jiang: University of Notre Dame; Munira Syed: University of Notre Dame; Oliver Conway: Conde Nast; Vishal Juneja: Conde Nast; Sriram Subramanian: Conde Nast; Nitesh V. Chawla: University of Notre Dame
  • Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades Authors: Francesco Ducci: ETH Zurich; Mathias Kraus: ETH Zurich; Stefan Feuerriegel: ETH Zurich
  • Category-Specific CNN for Visual-aware CTR Prediction at JD.com Authors: Hu Liu: JD.com; Jing Lu: JD.com; Hao Yang: JD.com; Xiwei Zhao: JD.com; Sulong Xu: JD.com; Hao Peng: JD.com; Zehua Zhang: JD.com; Wenjie Niu: JD.com; Xiaokun Zhu: JD.com; Yongjun Bao: JD.com; Weipeng Yan: JD.com
  • Causal Meta-Mediation Analysis]{Causal Meta-Mediation Analysis: Inferring Causality Between Online Metrics From Summary Statistics of Many Randomized Experiments Authors: Zenan Wang: UC Berkeley; Xuan Yin: Etsy Inc.; Tianbo Li: Etsy Inc.; Liangjie Hong: Etsy Inc.
  • Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks Authors: Xin Zhang: Shenzhen Institute of Artificial Intelligence and Robotics for Society; Xiujun Shu: Peng Cheng Laboratory; Bingwen Zhang: Google LLC; Jie Ren: Huawei Technologies Co. Ltd. ; Lizhou Zhou: Huawei Technologies Co. Ltd. ; Xin Chen: Huawei Technologies Co. Ltd.
  • Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services Authors: Shuai Zhao: New Jersey Institute of Technology; Wen-Ling Hsu: AT T Labs Research; George Ma: AT T Labs Research; Tan Xu: AT T Labs Research; Guy Jacobson: AT T Labs Research; Raif Rustamov: AT T Labs Research
  • City Metro Network Expansion with Reinforcement Learning Authors: Yu Wei: Xi an Jiaotong University; Minjia Mao: Xi an Jiaotong University; Xi Zhao: Xi an Jiaotong University; Jianhua Zou: Xi an Jiaotong University; Ping An: Xi an Jiaotong University
  • CLARA: Confidence of Labels and Raters Authors: Viet-An Nguyen: Facebook; Peibei Shi: Facebook; Jagdish Ramakrishnan: Facebook; Udi Weinsberg: Facebook; Henry C. Lin: Facebook; Steve Metz: Facebook; Neil Chandra: Facebook; Jane Jing: Facebook; Dimitris Kalimeris: Harvard University
  • Climate Downscaling Using YNet: a Deep Convolutional Network with Skip Connections and Fusion Authors: Yumin Liu: Northeastern University; Auroop Ganguly: Northeastern University; Jennifer Dy: Northeastern University
  • Combo-Attention Network for Baidu Video Advertising Authors: Tan Yu: Baidu; Yi Yang: Baidu; Yi Li: Baidu; Xiaodong Chen: Baidu; Mingming Sun: Baidu; Ping Li: Baidu
  • CompactETA: A Fast Inference System for Travel Time Prediction Authors: Kun Fu: AI Labs DiDi Chuxing ; Fanlin Meng: AI Labs DiDi Chuxing ; Jieping Ye: AI Labs DiDi Chuxing ; Zheng Wang: AI Labs DiDi Chuxing
  • Comprehensive Information Integration Modeling Framework for Video Titling Authors: Shengyu Zhang: Zhejiang University; Ziqi Tan: Zhejiang University; Jin Yu: Alibaba Group; Zhou Zhao: Zhejiang University; Kun Kuang: Zhejiang University; Tan Jiang: Zhejiang University; Hongxia Yang: Alibaba Group; Fei Wu: Zhejiang University; Jingren Zhou: Alibaba Group
  • ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps Authors: Fang Xiaomin: Baidu Inc.; Jizhou Huang: Baidu Inc.; Fan Wang: Baidu Inc.; Lingke Zeng: Baidu Inc.; Haijin Liang: Baidu Inc.; Haifeng Wang: Baidu Inc.
  • Contagious Chain Risk Rating for Networked-guarantee Loans Authors: Dawei Cheng: Shanghai Jiao Tong University; Zhibin Niu: Tianjin University; Yiyi Zhang: Shanghai Jiao Tong University
  • Context-Aware Attentive Knowledge Tracing Authors: Aritra Ghosh: University of Massachussets Amherst ; Neil Heffernan: Worcester Polytechnic Institute; Andrew Lan: University of Massachusetts Amherst
  • Controllable Multi-Interest Framework for Recommendation Authors: Yukuo Cen: Tsinghua University; Jianwei Zhang: Alibaba Group; Xu Zou: Tsinghua University; Chang Zhou: Alibaba Group; Hongxia Yang: Alibaba Group; Jie Tang: Tsinghua University
  • Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts Authors: Hongwei Li: Institute of Computing Technology CAS University of Chinese Acadamy of Sciences ; Qingping Yang: Institute of Computing Technology CAS University of Chinese Acadamy of Sciences ; Yixuan Cao: Institute of Computing Technology CAS University of Chinese Acadamy of Sciences ; Jiaquan Yao: School of Management Jinan University ; Ping Luo: Institute of Computing Technology CAS University of Chinese Acadamy of Sciences
  • Cracking the Black Box: Distilling Deep Sports Analytics Authors: Xiangyu Sun: Simon Fraser University; Jack Davis: Simon Fraser University; Oliver Schulte: Simon Fraser University; Guiliang Liu: Simon Fraser University
  • CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning Authors: Xin Huang: Florida Institute of Technology; Jangsoo Lee: Kyungpook National University; Young-Woo Kwon: Kyungpook National University; Chul-Ho Lee: Florida Institute of Technology
  • DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection Authors: Sundong Kim: Institute for Basic Science; Yu-Che Tsai: National Cheng Kung University; Karandeep Singh: Institute for Basic Science; Yeonsoo Choi: World Customs Organization; Etim Ibok: Nigeria Customs Service; Cheng-Te Li: National Cheng Kung University; Meeyoung Cha: Institute for Basic Science
  • Debiasing Grid-based Product Search in E-commerce Authors: Ruocheng Guo: Arizona State University; Xiaoting Zhao: Etsy; Adam Henderson: Etsy Inc.; Liangjie Hong: Etsy Inc.; Huan Liu: Arizona State University
  • DeepTriage: Automated Transfer Assistance for Incidents in Cloud Services Authors: Phuong Pham: Microsoft; Vivek Jain: Microsoft; Lukas Dauterman: Microsoft; Justin Ormont: Microsoft; Navendu Jain: Microsoft
  • Delivery Scope: A New Way of Restaurant Retrieval For On-demand Food Delivery Service Authors: Xuetao Ding: Meituan Dianping Group; Runfeng Zhang: Meituan Dianping Group; Zhen Mao: Meituan Dianping Group; Ke Xing: Meituan Dianping Group; Fangxiao Du: Meituan Dianping Group; Xingyu Liu: Meituan Dianping Group; Guoxing Wei: Meituan Dianping Group; Feifan Yin: Meituan Dianping Group; Renqing He: Meituan Dianping Group; Zhizhao Sun: Meituan Dianping Group
  • Doing in One Go: Delivered Time Inference Based on Coueriers' Trajectories Authors: Sijie Ruan: Xidian University; Zi Xiong: Wuhan University; Cheng Long: Nanyang Technological University; Yiheng Chen: JD Logistics; Jie Bao: JD Intelligent Cities Research; Tianfu He: Harbin Institute of Technology; Ruiyuan Li: Xidian University; Shengnan Wu: JD Logistics; Zhongyuan Jiang: Xidian University; Yu Zheng: Xidian University
  • Domain Specific Knowledge Graphs as a Service to the Public Authors: Ying Li: Giving Tech Labs; Vitalii Zakhozhyi: Giving Tech Labs; Daniel Zhu: Giving Tech Labs; Luis Salazar: Giving Tech Labs
  • Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction Authors: Wenjuan Luo: DiDi Chuxing; Han Zhang: DiDi Chuxing; Xiaodi Yang: DiDi Chuxing; Lin Bo: DiDi Chuxing; Xiaoqing Yang: DiDi Chuxing; Zang Li: DiDi Chuxing; Xiaohu Qie: DiDi Chuxing; Jieping Ye: DiDi Chuxing
  • Easy Perturbation EEG Algorithm for Spectral Importance (easyPEASI): A simple method to identify important spectral features of EEG in deep learning models Authors: David Nahmias: FDA UMD; Kimberly Kontson: U.S. FDA
  • Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach Authors: Lu Duan: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Yang Zhan: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Jiangwen Wei: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Yu Gong: Alibaba Group; Haoyuan Hu: Zhejiang Cainiao Supply Chain Management Co. Ltd ; Yinghui Xu: Zhejiang Cainiao Supply Chain Management Co. Ltd
  • Embedding-based Retrieval in Facebook Search Authors: Jui-Ting Huang: Facebook; Ashish Sharma: Facebook; Shuying Sun: Facebook; Li Xia: Facebook; David Zhang: Facebook; Philip Pronin: Facebook; Janani Padmanabhan: Facebook; Giuseppe Ottaviano: Facebook; Linjun Yang: Facebook
  • Explainable classification of brain networks via contrast subgraphs Authors: Tommaso Lanciano: La Sapienza University of Rome; Francesco Bonchi: Fondazione ISI; Aristides Gionis: KTH Royal Institute of Technology
  • Faster Secure Data Mining via Distributed Homomorphic Encryption Authors: Junyi Li: University of Pittsburgh; Heng Huang: JD Finance America Corporation and University of Pittsburgh
  • Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data Authors: Bin Gu: JD Finance America Corporation; Zhiyuan Dang: Xidian University; Xiang Li: Western University; Heng Huang: University of Pittsburgh JD Finance America Corporation
  • Fitbit for Chickens? Time Series Data Mining Can Increase the Productivity of Poultry Farms Authors: Alireza Abdoli: University of California Riverside; Sara Alaee: University of California Riverside; Shima Imani: University of California Riverside; Amy Murillo: University of California Riverside ; Alec Gerry: UC Riverside; Leslie Hickle: FarmSense Inc; Eamonn Keogh: UC Riverside
  • Forecasting the Evolution of Hydropower Generation Authors: Fan Zhou: School of Information and Software Engineering University of Electronic Science and Technology of China ; Liang Li: School of Information and Software Engineering University of Electronic Science and Technology of China ; Kunpeng Zhang: University of Maryland; Goce Trajcevski: Iowa State University; Fuming Yao: China Energy Investment Co.; Ying Huang: China Energy Investment Co.; Ting Zhong: University of Electronic Science and Technology of China; Jiahao Wang: School of Information and Software Engineering University of Electronic Science and Technology of China ; Qiao Liu: School of Information and Software Engineering University of Electronic Science and Technology of China
  • Fraud Transactions Detection via Behavior Tree with Local Intention Calibration Authors: Can Liu: Alibaba Group; Qiwei Zhong: Alibaba Group; Xiang Ao: Institute of Computing Technology Chinese Academy of Sciences ; Li Sun: Alibaba Group; Wangli Lin: Alibaba Group; Jinghua Feng: Alibaba Group; Qing He: Institute of Computing Technology Chinese Academy of Sciences ; Jiayu Tang: Alibaba Group
  • Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games (Rummy as case study) Authors: Sharanya Eswaran: Games x ; Mridul Sachdeva: Games x ; Vikram Vimal: Games x ; Deepanshi Seth: Games x ; Suhaas Kalpam: Games x ; Sanjay Agrawal: Games x ; Tridib Mukherjee: games x ; Samrat Dattagupta: Games x
  • Gemini: A novel and universal heterogeneous graph information fusing framework for online recommendations Authors: Jixing Xu: DiDiChuxing; Zhenlong Zhu: DiDiChuxing; Jianxin Zhao: DiDiChuxing; Xuanye Liu: DiDiChuxing; Minghui Shan: DiDiChuxing; Jiecheng Guo: DiDiChuxing
  • General-Purpose User Embeddings based on Mobile App Usage Authors: Junqi Zhang: Tencent; Bing Bai: Tencent; Ye Lin: Tencent; Jian Liang: Tencent; Kun Bai: Tencent; Fei Wang: Cornell University
  • Geodemographic Influence Maximization Authors: Kaichen Zhang: BUPT Baidu; Jingbo Zhou: Baidu; Donglai Tao: Tsinghua U; Panagiotis Karras: Aarhus University; Qing Li: Baidu; Hui Xiong: Baidu
  • Grale: Designing Networks for Graph Learning Authors: Jonathan Halcrow: Google; Alexandru Mo_oi: Google; Sam Ruth: Google; Bryan Perozzi: Google
  • GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce Authors: Sean Bell: Facebook; Yiqun Liu: Facebook; Sami Alsheikh: Facebook; Yina Tang: Facebook; Ed Pizzi: Facebook; Michael Henning: Facebook; Karun Singh: Facebook; Omkar Parkhi: Facebook; Fedor Borisyuk: Facebook
  • HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival Authors: Huiting Hong: AI Labs Didi Chuxing Beijing China ; Yucheng Lin: AI Labs Didi Chuxing Beijing China ; Xiaoqing Yang: AI Labs Didi Chuxing Beijing China ; Zang Li: AI Labs Didi Chuxing Beijing China ; Jieping Ye: AI Labs Didi Chuxing Beijing China ; Kun Fu: AI Labs Didi Chuxing Beijing China ; Zheng Wang: AI Labs Didi Chuxing Beijing China ; Xiaohu Qie: Technology Ecosystem Development Didi Chuxing Beijing China
  • Hubble: an Industrial System for Audience Expansion in Mobile Marketing Authors: Chenyi Zhuang: Ant Financial Services Group; Ziqi Liu: Ant Financial Services Group; Zhiqiang Zhang: Ant Financial Services Group; Yize Tan: Ant Financial Services Group; Zhengwei Wu: Ant Financial Services Group; Zhining Liu: Ant Financial Services Group; Jianping Wei: Ant Financial Services Group; Jinjie Gu: Ant Financial Services Group; Guannan Zhang: Ant Financial Services Group; Jun Zhou: Ant Financial Services Group; Yuan Qi: Ant Financial Services Group
  • Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data Authors: Rui Dai: Autonavi Alibaba Group ; Shenkun Xu: Autonavi Alibaba Group ; Qian Gu: Autonavi Alibaba Group ; Chenguang Ji: Autonavi Alibaba Group ; Kaikui Liu: Autonavi Alibaba Group
  • Hypergraph Convolutional Recurrent Neural Network Authors: Jaehyuk Yi: KAIST; Jinkyoo Park: KAIST
  • Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers Authors: Maryam Tabar: Pennsylvania State University; Heesoo Park: Sungkyunkwan University; Stephanie Winkler: Pennsylvania State University; Dongwon Lee: Pennsylvania State University; Anamika Barman-Adhikari: University of Denver; Amulya Yadav: Pennsylvania State University
  • Improving Deep Learning For Airbnb Search Authors: Malay Haldar: Airbnb; Mustafa Abdool: Airbnb; Prashant Ramanathan: Airbnb Inc ; Tyler Sax: Airbnb Inc. ; Lanbo Zhang: Airbnb Inc. ; Aamir Manasawala: Airbnb Inc ; Shulin Yang: Airbnb Inc. ; Bradley Turnbull: Airbnb; Junshuo Liao: Airbnb Inc.
  • Improving Recommendation Quality in Google Drive Authors: Suming J. Chen: Google; Zhen Qin: Google; Zachary Wilson: Google; Brian Calaci: Google; Michael Rose: Google; Ryan Evans: Google; Sean Abraham: Google; Donald Metzler: Google; Sandeep Tata: Google; Mike Colagrosso: Google
  • Improving Trajectory Predictions of Traffic Actors using GANs and Differentiable Rasterization Authors: Eason Wang: University of Waterloo; Henggang Cui: Uber ATG; Sai Yalamanchi: Uber ATG; Mohana Moorthy: Uber ATG; Nemanja Djuric: Uber ATG
  • Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning Authors: Jingbo Zhou: Business Intelligence Lab Baidu Research ; Zhenwei Tang: Business Intelligence Lab Baidu Research ; Min Zhao: Baidu User Experience Department; Xiang Ge: Baidu User Experience Department; Fuzheng Zhuang: Institute of Computing Technology Chinese Academy of Sciences ; Meng Zhou: Business Intelligence Lab Baidu Research ; Liming Zou: Baidu User Experience Department; Chenglei Yang: Shandong University; Hui Xiong: Business Intelligence Lab Baidu Research
  • Interleaved Sequence RNNs for Fraud Detection Authors: Bernardo Branco: Feedzai; Pedro Abreu: QuantumBlack a McKinsey company ; Ana Sofia Gomes: Feedzai; Mariana Almeida: Cleverly; João Tiago Ascensão: Feedzai; Pedro Bizarro: Feedzai
  • Joint Optimization of Multiple Objectives on Music Streaming Platforms Authors: Rishabh Mehrotra: Spotify Research; Mounia Lalmas: Spotify; Niannan Xue: ICL
  • Jointly Learning to Recommend and Advertise Authors: Xiangyu Zhao: Michigan State University; Xudong Zheng: Bytedance; Xiwang Yang: Bytedance; Xiaobing Liu: Bytedance; Jiliang Tang: Michigan State University
  • Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps Authors: Xianfeng Tang: The Pennsylvania State University; Yozen Liu: Snap Inc.; Neil Shah: Snap Inc.; Xiaolin Shi: Snap Inc.; Prasenjit Mitra: The Pennsylvania State University; Suhang Wang: The Pennsylvania State University
  • Large-Scale Training System for 100-Million Classification at Alibaba Authors: Liuyihan Song: Alibaba Group; Pan Pan: Alibaba Group; Kang Zhao: Alibaba Group; Hao Yang: Alibaba Group; Yiming Chen: Alibaba Group; Yingya Zhang: Alibaba Group; Yinghui Xu: Alibaba Group; Rong Jin: Alibaba Group
  • Learning instrument invariant characteristics for generating high-resolution global coral reef maps Authors: Ata Akbari Asanjan: Universities Space Research Association; Kamalika Das: VMWare Inc.; Alan Li: NASA Ames; Ved Chirayath: NASA Ames; Juan Torres-Perez: NASA Ames; Soroosh Sorooshian: University of California Irvine
  • Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs Authors: Weize Kong: Google; Michael Bendersky: Google; Marc Najork: Google; Brandon Vargo: Google; Mike Colagrosso: Google
  • Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach Authors: Di Yin: National Key Laboratory for Novel Software Technology Nanjing University ; Jiwei Tan: Alibaba Group; Zhe Zhang: Alibaba Group; Hongbo Deng: Alibaba Group; Shujian Huang: National Key Laboratory for Novel Software Technology Nanjing University ; Jiajun Chen: National Key Laboratory for Novel Software Technology Nanjing University
  • Learning to score economic development from satellite imagery Authors: Sungwon Han: Korea Advanced Institute of Science and Technology; Donghyun Ahn: Korea Advanced Institute of Science and Technology; Sungwon Park: Korea Advanced Institute of Science and Technology; Jeasurk Yang: National University of Singapore; Susang Lee: Korea Advanced Institute of Science and Technology; Jihee Kim: Korea Advanced Institute of Science and Technology; Hyunjoo Yang: Sogang University; Sangyoon Park: University of Hong Kong; Meeyoung Cha: Institute for Basic Science Korea Advanced Institute of Science and Technology
  • Learning with Limited Labels via Momentum Damped Differentially Weighted Training Authors: Rishabh Mehrotra: Spotify Research; Ashish Gupta: Walmart Labs
  • LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition Authors: Jin Xu: Tsinghua University; Xu Tan: Microsoft Research Asia; Yi Ren: Zhejiang University; Tao Qin: Microsoft Research Asia; Jian Li: Tsinghua University; Sheng Zhao: Microsoft STC Asia; Tie-Yan Liu: Microsoft Research Asia
  • LUMOS: A library for diagnosing metric regressions for web-scale applications Authors: Jamie Pool: Microsoft; Ebrahim Beyrami: Microsoft; Vishak Gopal: Microsoft; Jayant Gupchup: Microsoft; Jeff Rowland: HCL America Inc; Binlong Li: Microsoft; Pritesh Kanani: Microsoft; Ross Cutler: Microsoft; Johannes Gehrke: Microsoft; Ashkan Aazami: Microsoft
  • M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems Authors: Menghan Wang: Alibaba Group; Yujie Lin: Alibaba; Guli Lin: Alibaba; Keping Yang: Alibaba; Xiaoming Wu: Hong Kong Polytechnic University
  • Managing Diversity in Airbnb Search Authors: Mustafa Abdool: Airbnb; Malay Haldar: Airbnb; Prashant Ramanathan: Airbnb; Tyler Sax: Airbnb; Lanbo Zhang: Airbnb; Aamir Manasawala: Airbnb; Shulin Yang: Airbnb; Bradley Turnbull: Airbnb; Qing Zhang: Airbnb; Thomas Legrand: Airbnb
  • Map Generation from Large Scale Incomplete and Inaccurate Data Labels Authors: Rui Zhang: IBM T.J. Watson Research Center ; Wei Zhang: IBM T.J. Watson Research Center ; Conrad Albrecht: IBM T.J. Watson Research Center ; Xiaodong Cui: IBM T.J. Watson Research Center ; Ulrich Finkler: IBM T.J. Watson Research Center ; David Kung: IBM T.J. Watson Research Center ; Siyuan Lu: IBM T.J. Watson Research Center
  • Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective Authors: Yifei Zhao: Alibaba; Yu-Hang Zhou: Alibaba; Mingdong Ou: Alibaba
  • Meta-Learning for Query Conceptualization at Web Scale Authors: Fred X. Han: University of Alberta; Di Niu: University of Alberta; Haolan Chen: Tencent; Weidong Guo: Tencent; Shengli Yan: Tencent; Bowei Long: Tencent
  • Mining Implicit Relevance Feedback from User Behavior for Web Question Answering Authors: Linjun Shou: STCA NLP Group Microsoft Beijing ; Shining Bo: School of Information and Communication Engineering BUPT ; Feixiang Cheng: STCA NLP Group Microsoft Beijing ; Ming Gong: STCA NLP Group Microsoft Beijing ; Jian Pei: School of Computing Science Simon Fraser University ; Daxin Jiang: STCA NLP Group Microsoft Beijing
  • Molecular Inverse-Design Platform for Material Industries Authors: Seiji Takeda: IBM Research Tokyo; Toshiyuki Hama: IBM Research Tokyo; Hsiang-Han Hsu: IBM Research Tokyo; Victoria Piunova: IBM Almaden Research Center; Dmitry Zubarev: IBM Almaden Research Center; Daniel Sanders: IBM Almaden Research Center; Jed Pitera: IBM Almaden Research Center; Makoto Kogoh: IBM Garage Tokyo Laboratory ; Takumi Hongo: IBM Garage Tokyo Laboratory ; Yenwei Cheng: IBM Garage Tokyo Laboratory ; Wolf Bocanett: IBM Garage Tokyo Laboratory ; Hideaki Nakashika: IBM Garage Tokyo Laboratory ; Akihiro Fujita: HAYASHIBARA Co. Ltd. ; Yuta Tsuchiya: HAYASHIBARA Co. Ltd. ; Katsuhiko Hino: HAYASHIBARA Co. Ltd. ; Kentaro Yano: HAYASHIBARA Co. Ltd. ; Shuichi Hirose: NAGASE Co. Ltd. ; Hiroki Toda: NAGASE Co. Ltd. ; Yasumitsu Orii: NAGASE Co. Ltd. ; Daiju Nakano: IBM Research Tokyo
  • Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery Authors: Krishna Karthik Gadiraju: North Carolina State University; Bharathkumar Ramachandra: North Carolina State University; Zexi Chen: North Carolina State University; Ranga Raju Vatsavai: North Carolina State University
  • Multi-objective Optimization for Guaranteed Delivery in Video Service Platform Authors: Hang Lei: Alibaba Group; Yin Zhao: Alibaba Group; Longjun Cai: Alibaba Group
  • MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks Authors: Carl Yang: University of Illinois at Urbana Champaign; Aditya Pal: Pinterest; Andrew Zhai: Pinterest; Nikil Pancha: Pinterest; Jiawei Han: University of Illinois at Urbana Champaign; Chuck Rosenburg: Pinterest; Jure Leskovec: Pinterest
  • Multitask Mixture of Sequential Experts for User Activity Streams Authors: Yicheng Cheng: Google; Zhen Qin: Google Inc.; Zhe Zhao: Google; Zhe Chen: Google; Donald Metzler: Google; Jingzheng Qin: Google
  • Neural Input Search for Large Scale Recommendation Models Authors: Manas Joglekar: Not Available; Cong Li: Google; Mei Chen: Google; Taibai Xu: Google; Xiaoming Wang: Google; Jay Adams: Google; Pranav Khaitan: Google; Jiahui Liu: Google; Quoc Le: Google
  • Octet: Online Catalog Taxonomy Enrichment with Self-Supervision Authors: Yuning Mao: University of Illinois at Urbana Champaign; Tong Zhao: Amazon.com; Andrey Kan: Amazon.com; Chenwei Zhang: Amazon.com; Xin Luna Dong: Amazon.com; Christos Faloutsos: Carnegie Mellon University; Jiawei Han: University of Illinois at Urbana Champaign
  • OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena Authors: Linxia Gong: Netease; Xiaochuan Feng: Netease; Dezhi Ye: Netease; Hao Li: Netease; Runze Wu: Netease; Jianrong Tao: Netease; Changjie Fan: Netease; Peng Cui: Tsinghua University
  • Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery Authors: Lin Zhu: Alibaba Group; Wei Yu: Alibaba Group; Kairong Zhou: Alibaba Group; Xing Wang: Alibaba Group; Pengyu Wang: Alibaba Group; Wenxing Feng: Alibaba Group; Ning Chen: Alibaba Group; Pei Lee: Alibaba Group
  • Personalized Image Retrieval with Sparse Graph Representation Learning Authors: Xiaowei Jia: University of Minnesota; Handong Zhao: Adobe Research; Zhe Lin: Adobe Research; Ajinkya Kale: Adobe Inc; Vipin Kumar: University of Minnesota
  • Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps Authors: Jizhou Huang: Baidu; Haifeng Wang: Baidu; Miao Fan: Baidu; An Zhuo: Baidu Inc.; Ying Li: Baidu Inc.
  • Pest management in cotton farms: an AI-system case study from the global South Authors: Aman Dalmia: Wadhwani Institute for Artificial Intelligence; Jerome White: Wadhwani Institute for Artificial Intelligence; Ankit Chaurasia: Wadhwani Institute for Artificial Intelligence; Vishal Agarwal: Wadhwani Institute for Artificial Intelligence; Rajesh Jain: Wadhwani Institute for Artificial Intelligence; Dhruvin Vora: Wadhwani Institute for Artificial Intelligence; Balasaheb Dhame: Wadhwani Institute for Artificial Intelligence; Raghu Dharmaraju: Wadhwani Institute for Artificial Intelligence; Rahul Panicker: Wadhwani Institute for Artificial Intelligence
  • PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest Authors: Aditya Pal: Pinterest; Pong Eksombatchai: Pinterest; Yitong Zhou: Pinterest; Bo Zhao: Pinterest; Chuck Rosenberg: Pinterest; Jure Leskovec: Pinterest
  • Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine Authors: Hao Liu: Business Intelligence Lab Baidu Research ; Ying Li: Baidu Inc.; Yanjie Fu: University of Central Florida; Huaibo Mei: Baidu Inc.; Jingbo Zhou: Business Intelligence Lab Baidu Research ; Xu Ma: Baidu Inc.; Hui Xiong: Business Intelligence Lab Baidu Research
  • Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy Authors: Teng Ye: University of Michigan Ann Arbor ; Wei Ai: University of Maryland College Park ; Lingyu Zhang: Didi Chuxing; Ning Luo: Didi Chuxing; Lulu Zhang: Didi Chuxing; Jieping Ye: Didi Chuxing; Qiaozhu Mei: University of Michigan Ann Arbor
  • Prediction of Hourly Earnings and Completion Time on a Crowdsourcing Platform Authors: Anna Lioznova: Yandex; Alexey Drutsa: Yandex; Vladimir Kukushkin: Vkontakte; Anastasia Bezzubtseva: Yandex
  • Price Investment using Prescriptive Analytics and Optimization in Retail Authors: Linsey Pang: Walmart Labs; Avinash Thangali: Walmart Labs; Karthick Gopalswamy: Walmart Labs; Ketki Gupta: Walmart Labs; Dnyanesh Kulkarni: Walmart Labs; Sunil Potnuru: Walmart Labs; Supreeth Shastry: Walmart Labs; Harshada Vuyyuri: Walmart Labs; Timothy Winters: Walmart Labs; Prakhar Mehrotra: Walmart Labs
  • Privileged Features Distillation at Taobao Recommendations Authors: Chen Xu: Alibaba Inc; Quan Li: Alibaba Inc; Junfeng Ge: Alibaba Group; Jinyang Gao: Alibaba; Xiaoyong Yang: Alibaba Group; Changhua Pei: Tsinghua University; Fei Sun: Alibaba Inc; Jian Wu: Alibaba Inc; Hanxiao Sun: Alibaba Group; Wenwu Ou: Alibaba Inc
  • Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning Authors: Jing Lei: George Mason University; Nasrin Akhter: GGeorge Mason University; Wanli Qiao: George Mason University; Amarda Shehu: George Mason University
  • Salience and Market-aware Skill Extraction for Job Targeting Authors: Baoxu Shi: LinkedIn; Jaewon Yang: LinkedIn; Feng Guo: LinkedIn; Qi He: LinkedIn
  • Scaling Graph Neural Networks with Approximate PageRank Authors: Aleksandar Bojchevski: Technical University of Munich; Johannes Klicpera: Technical University of Munich; Bryan Perozzi: Google; Amol Kapoor: Google; Martin Blais: Google; Benedek Rozemberczki: The University of Edinburgh; Michal Lukasik: Google; Stephan Günnemann: Technical University of Munich
  • Shop The Look: Building a Large Scale Visual Shopping System at Pinterest Authors: Raymond Shiau: Pinterest; Hao-Yu Wu: Pinterest; Eric Kim: Pinterest; Yue Li Du: Pinterest; Anqi Guo: Pinterest; Zhiyuan Zhang: Pinterest; Eileen Li: Pinterest; Kunlong Gu: Pinterest; Charles Rosenberg: Pinterest; Andrew Zhai: Pinterest
  • SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter Authors: Venu Satuluri: Twitter; Yao Wu: Twitter; Xun Zheng: Carnegie Mellon University; Yilei Qian: Twitter; Brian Wichers: Twitter; Qieyun Dai: Twitter; Gui Ming Tang: Twitter; Jerry Jiang: Twitter; Jimmy Lin: University of Waterloo
  • Sub-Matrix Factorization for Real-Time Vote Prediction Authors: Alexander Immer: Ecole Polytechnique F d rale de Lausanne; Victor Kristof: Ecole Polytechnique F d rale de Lausanne; Matthias Grossglauser: Ecole Polytechnique F d rale de Lausanne; Patrick Thiran: Ecole Polytechnique F d rale de Lausanne
  • Taming Pretrained Transformers for eXtreme Multi-label Text Classification Authors: Wei-Cheng Chang: Carnegie Mellon University; Hsiang-Fu Yu: Amazon; Kai Zhong: Amazon; Yiming Yang: Carnegie Mellon University; Inderjit Dhillon: Amazon and UT Austin
  • Temporal-Contextual Recommendation in Real-Time Authors: Yifei Ma: amazon; Murali Balakrishnan Narayanaswamy: amazon; Haibin Lin: amazon; Hao Ding: amazon
  • TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook Authors: Nima Noorshams: FACEBOOK; Saurabh Verma: FACEBOOK; Aude Hofleitner: FACEBOOK
  • Time-Aware User Embeddings as a Service Authors: Martin Pavlovski: Temple University; Jelena Gligorijevic: Yahoo Research; Ivan Stojkovic: Yahoo Research; Shubham Agrawal: Yahoo Research; Shabhareesh Komirishetty: Yahoo Reserach; Djordje Gligorijevic: Yahoo Research; Narayan Bhamidipati: Yahoo Research; Zoran Obradovic: Temple University
  • TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding Authors: Zhiping Xiao: Computer Science Department University of California at Los Angeles ; Weiping Song: Department of Computer Science School of EECS Peking University. ; Haoyan Xu: College of Control Science and Engineering Zhejiang University ; Zhicheng Ren: Computer Science Department University of California at Los Angeles ; Yizhou Sun: Computer Science Department University of California at Los Angeles
  • To Tune or Not to Tune? In Search of Optimal Configurations for Data Analytics Authors: Ayat Fekry: University of Cambridge Computer Laboratory ; Lucian Carata: University of Cambridge Computer Laboratory ; Thomas Pasquier: Bristol University; Andrew Rice: University of Cambridge Computer Laboratory ; Andy Hopper: University of Cambridge Computer Laboratory
  • Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time Authors: Che Liu: AILabs DiDi chuxing ; Junfeng Jiang: AILabs DiDi chuxing ; Chao Xiong: AILabs DiDi chuxing ; Yi Yang: AILabs DiDi chuxing ; Jieping Ye: AILabs DiDi chuxing
  • Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning Authors: Yinghua Zhang: The Hong Kong University of Science and Technology; Yangqiu Song: Hong Kong University of Science and Technology; Jian Liang: Cloud and Smart Industries Group Tencent ; Kun Bai: Cloud and Smart Industries Group Tencent ; Qiang Yang: Hong Kong University of Science and Technology
  • Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities Authors: Takahiro Yabe: Purdue University; Kota Tsubouchi: Yahoo Japan Research; Toru Shimizu: Yahoo Japan; Yoshihide Sekimoto: The University of Tokyo; Satish Ukkusuri: Purdue University
  • USAD : UnSupervised Anomaly Detection on multivariate time series Authors: Julien Audibert: Orange EURECOM; Pietro Michiardi: EURECOM; Frédéric Guyard: Orange Labs; Sébastien Marti: Orange; Maria A. Zuluaga: EURECOM
  • User Sentiment as a Success Metric: Persistent Biases Under Full Randomization Authors: Ercan Yildiz: Google; Joshua Safyan: Google; Marc Harper: Google
  • What is that Building? An End-to-end System for Building Recognition from Streetside Images Authors: Chiqun Zhang: Microsoft; Dragomir Yankov: Microsoft; Chun-Ting Wu: Microsoft; Simon Shapiro: Microsoft; Jason Hong: Microsoft; Wei Wu: Microsoft

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