KDD 2021 | Singapore (2022)

  • A Bayesian Approach to in-Game Win Probability in Soccer
    Authors: Pieter Robberechts (KU Leuven)*; Jan Van Haaren (KU Leuven); Jesse Davis (KU Leuven)

  • A Deep Learning Method for Route and Time Prediction in Food Delivery Service
    Authors: Chengliang Gao (Meituan)*; Fan Zhang (Meituan); Guanqun Wu (Meituan); Qiwan Hu (Meituan); Qiang Ru (Meituan); Jinghua Hao (Meituan); Renqing He (Meituan-Dianping Group); Zhizhao Sun (Meituan-Dianping Group)

  • A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions
    Authors: Hodaya Binyamini (Ben-Gurion University of The Negev); Ron Bitton (BGU)*; Masaki Inokuchi (NEC Corporation); Tomohiko Yagyu (NEC Corporation); Yuval Elovici (Ben-Gurion University of the Negev); Asaf Shabtai (Ben-Gurion University of the Negev)

  • A Multi-Graph Attributed Reinforcement Learning Based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem
    Authors: Fei Ni (Huazhong Unviersity of Science and Technology)*; Jianye Hao (Tianjin University); Jiawen Lu (Huawei); Xialiang Tong (Huawei); Mingxuan Yuan (Huawei); Jiahui Duan (Sichuan University); Yi Ma (Tianjin University); Kun He (Huazhong University of Science and Technology)

  • A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting
    Authors: Maryam Tabar (Pennsylvania State University)*; Jared Gluck (Pennsylvania State University); Anchit Goyal (Pennsylvania State University); Fei Jiang (Pennsylvania State University); Derek Morr (Pennsylvania State University); Annalyse Kehs (Pennsylvania State University); Dongwon Lee (Penn State University); David Hughes (Penn State ); Amulya Yadav (Pennsylvania State University)

  • A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
    Authors: Léa Briand (Deezer); Guillaume Salha-Galvan (Deezer / École polytechnique)*; Walid Bendada (Deezer); Mathieu Morlon (Deezer); Viet-Anh Tran (Deezer)

  • A Unified Solution to Constrained Bidding in Online Display Advertising
    Authors: YUE HE (Alibaba)*; Xiujun Chen (Alibaba); Di Wu (Alibaba); Junwei Pan (Yahoo Research); Qing Tan (Alibaba Group); Chuan Yu (Alibaba Group); Jian Xu (Alibaba Group); Xiaoqiang Zhu (Alibaba Group)

  • Addressing Non-Representative Surveys using Multiple Instance Learning
    Authors: Yaniv Katz (Similarweb)*; Oded Vainas (Similarweb)

  • Adversarial Attacks on Deep Models for Financial Transaction Records
    Authors: Matvey Morozov (Skoltech); Ivan Fursov (Skoltech); Alexey Zaytsev (Skoltech)*; Nina Kaploukhaya (Skoltech; IITP RAS); Elizaveta Kovtun (Skoltech); Rodrigo Rivera (Skoltech); Gleb Gusev (Sberbank); Dmitry Babaev (Sber AI lab); Ivan Kireev (Sberbank AI Lab); Evgeny Burnaev (Skoltech)

  • Adversarial Feature Translation for Multi-domain Recommendation
    Authors: Xiaobo Hao (WeChat Search Application Department, Tencent); Yudan Liu (WeChat Search Application Department, Tencent); Ruobing Xie (WeChat Search Application Department, Tencent)*; Kaikai Ge (WeChat Search Application Department, Tencent); Linyao Tang (WeChat Search Application Department, Tencent); Xu Zhang (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent)

  • AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
    Authors: Ningyu Zhang (Zhejiang University & AZFT Joint Lab for Knowledge Engine)*; JIA QiangHuai (AntGroup); Shumin Deng (Zhejiang University); Xiang Chen (Zhejiang University); Hongbin Ye (Zhejiang University); Hui Chen (Alibaba Group); Huaixiao Zhao (Alibaba Group); Gang Huang (Zhejiang Lab); Zhao Wang (Zhejiang University); Nengwei Hua (Alibaba Group); Huajun Chen (Zhejiang University)

  • AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce
    Authors: Xusheng Luo (Alibaba Group)*; Le Bo (Alibaba Group); Jinhang Wu (Alibaba Group); Lin Li (Alibaba Group); Yonghua Yang (Alibaba Group); Keping Yang (Alibaba Group)

  • All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting
    Authors: Aniruddha Adiga (Biocomplexity Institute & Initiative, University of Virginia)*; Lijing Wang (University of Virginia); Benjamin Hurt (University of Virginia); Akhil Sai Peddireddy (University of Virginia); Przemyslaw Porebski (University of Virginia); Srinivasan Venkatramanan (University of Virginia); Bryan Leroy Lewis (Biocomplexity Institute & Initiative, University of Virginia); Madhav Marathe (Biocomplexity Institute & Initiative, University of Virginia)

  • Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization
    Authors: Valerio Perrone (Amazon)*; Huibin Shen (Amazon); Aida Zolic (Amazon); Iaroslav Shcherbatyi (Amazon); Amr Ahmed (Amazon); Tanya Bansal (Amazon); Michele Donini (Amazon); Fela Winkelmolen (Amazon); Rodolphe Jenatton (Google); Jean Baptiste Faddoul (Amazon); Barbara Pogorzelska (Amazon); Miroslav Miladinovic (Amazon); Krishnaram Kenthapadi (Amazon); Matthias W Seeger (Amazon); Cedric Archambeau (AWS)

  • Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
    Authors: Michaela Hardt (Amazon)*; Xiaoguang Chen (Amazon); Xiaoyi Cheng (Amazon); Michele Donini (Amazon); Jason Gelman (Amazon); Satish Gollaprolu (Amazon); John He (Amazon); Pedro Larroy (Amazon); Xinyu Liu (Amazon); Nick McCarthy (Amazon); Ashish Rathi (Amazon); Scott Rees (Amazon); Ankit Siva (Amazon); ErhYuan Tsai ((former Amazon)); Keerthan Vasist (Amazon); Pinar Yilmaz (Amazon); Muhammad Bilal Zafar (Amazon Web Services); Sanjiv Das (Amazon); Kevin Haas (Amazon); Tyler Hill (Amazon); Krishnaram Kenthapadi (Amazon)

  • An Embedding Learning Framework for Numerical Features in CTR Prediction
    Authors: Huifeng Guo (Huawei Noah's Ark Lab)*; Bo Chen (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah's Ark Lab); Weinan Zhang (Shanghai Jiao Tong University); Zhenguo Li (Huawei Noah's Ark Lab); Xiuqiang He (Huawei Noah's Ark Lab)

  • An Experimental Study of Quantitative Evaluations on Saliency Methods
    Authors: Xiao-Hui Li (Huawei Technologies)*; Yuhan Shi (Huawei Technologies); Haoyang Li (Huawei Technologies); Wei Bai (Huawei Technologies); Caleb Chen Cao (Huawei Technologies); Lei Chen (Hong Kong University of Science and Technology)

  • Analysis of Faces in a Decade of US Cable TV News
    Authors: James Hong (Stanford University)*; Will Crichton (Stanford University); Haotian Zhang (Stanford University); Daniel Y Fu (Stanford University); Jacob Ritchie (Stanford University); Jeremy Barenholtz (Stanford University); Ben Hannel (Stanford University); Xinwei Yao (Stanford University); Michaela Murray (Stanford University); Geraldine Moriba (Brown Institute for Media Innovation); Maneesh Agrawala (Stanford University); Kayvon Fatahalian (Stanford)

  • Architecture and Operation Adaptive Network for Online Recommendations
    Authors: Lang Lang (Didi Chuxing); zhenlong zhu (Didi Chuxing); Xuanye Liu (Didi Chuxing); Jianxin Zhao (Didi Chuxing); Jixing Xu (Didi Chuxing)*; Minghui Shan (Didi Chuxing)

  • AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
    Authors: Qingsong Zhang (JD Tech); Bin Gu (JD Finance America Corporation); Cheng Deng (Xidian University); Jian Pei (Simon Fraser University); Heng Huang (JD Finance America Corporation)*

  • AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
    Authors: Yilmazcan Özyurt (ETH Zürich)*; Mathias Kraus (FAU Erlangen-Nuremberg); Tobias Hatt (ETH Zurich); Stefan Feuerriegel (ETH Zurich)

  • Auto-Split: A General Framework of Collaborative Edge-Cloud AI
    Authors: Amin Banitalebi-Dehkordi (Huawei Technologies Canada Co., Ltd.)*; Naveen Vedula (Huawei Canada); Jian Pei (Simon Fraser University); Fei Xia (Huawei); Lanjun Wang (Huawei Technologies Canada Co., Ltd.); Yong Zhang (Huawei Technologies Canada Co., Ltd.)

  • Automated Loss Function Search in Recommendations
    Authors: Xiangyu Zhao (Michigan State University)*; Haochen Liu (Michigan State University); Wenqi FAN (The Hong Kong Polytechnic University); Hui Liu (Michigan State University); Jiliang Tang (Michigan State University); Chong Wang (ByteDance)

  • Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies
    Authors: Lev Faivishevsky (Intel)*; Adi Szeskin (Intel); Ashwin k Muppalla (Intel); Ravid Ziv (Intel); Ronen Laperdon (Intel); Benjamin Melloul (intel); Tahi Hollander (Intel); Tom Hope (Intel); Amitai Armon (Intel)

  • AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data
    Authors: Luo Zhipeng (DeepBlue); Zhixing He (Deepblue Technology); jin wang (deepblueai); Manqing Dong (Deepblue Technology)*; Jianqiang Huang (Peking University); Mingjian Chen (Peking University); Bohang Zheng (Peking University)

  • Bipartite Dynamic Representations for Abuse Detection
    Authors: Andrew Z Wang (Stanford University)*; Rex Ying (Stanford University); Pan Li (Purdue University); Nikhil Rao (Amazon); Karthik Subbian (Amazon); Jure Leskovec (Stanford University)

  • Bootstrapping for Batch Active Sampling
    Authors: Heinrich Jiang (Google Research); Maya Gupta (Google)*

  • Bootstrapping Recommendations at Chrome Web Store
    Authors: Zhen Qin (Google)*; Honglei Zhuang (Google Research); Rolf Jagerman (Google Research); Xinyu Qian (Google Inc.); Po Hu (Google Inc.); Dan Chary Chen (Google Inc.); Xuanhui Wang (Google); Michael Bendersky (Google); Marc Najork (Google)

  • Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits
    Authors: Benjamin Han (Lyft)*; Carl Arndt (Lyft)

  • Cascading clustering based crop row detection with online domain adaptation
    Authors: Rashed M Doha (Indiana University Purdue University Indianapolis); Mohammad Al Hasan (IUPUI)*; Sohel Anwar (Indiana University Purdue University Indianapolis); Veera Rajendran (Equipment Technologies)

  • Categorization of Financial Transactions in QuickBooks
    Authors: Juan Liu (Intuit)*; Lei Pei (Intuit)

  • Causal and Interpretable Rules for Time Series Analysis
    Authors: Amin Dhaou (Total)*; Josselin Garnier (École Polytechnique); Antoine Bertoncello (Total); Erwann LE PENNEC (Polytechnique)

  • Clockwork: a delay-based global scheduling framework for more consistent landing times in the data warehouse
    Authors: Martin Valdez-Vivas (Facebook)*; Varun Sharma (Facebook); Nick Stanisha (Facebook); Shan Li (Facebook); Luo Mi (Facebook); Wei Jiang (Facebook); Alex Kalinin (Facebook); Josh Metzler (Facebook)

  • Clustering for Private Interest-based Advertising
    Authors: andres munoz (Google)*; Vahab Mirrokni (Google); Alessandro Epasto (Google); Sergei Vassilvtiskii (Google); Steven Avery (Google); Yijian Bai (Google); Robert Busa-Fekete (Google); CJ Carey (Google); Ya Gao (Google); David Guthrie (Google); Subham Ghosh (Google); James Ioannidis (Google); Junyi Jiao (Google); Jakub Łącki (Google); Jason Lee (Google); Arne Mauser (Google); Brian Milch (Google); Deepak Ravichandran (Google); Wei Shi (Google); Max Spero (Google); Yunting Sun (Google); Umar Syed (Google); Shuo Wang (Google)

  • Contextual Bandit Applications in a Customer Support Bot
    Authors: Sandra Sajeev (Microsoft)*; Jade Huang (Microsoft); Nikos Karampatziakis (Microsoft); Sebastian Kochman (Microsoft); Matthew Hall (Microsoft); Weizhu Chen (Microsoft)

  • Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
    Authors: Chang Zhou (Alibaba Group); Jianxin Ma (Alibaba Group)*; Jianwei Zhang (Alibaba Group); Jingren Zhou (Alibaba Group); Hongxia Yang (Alibaba Group)

  • Counterfactual Graphs for Explainable Classification of Brain Networks
    Authors: Carlo Abrate (isi foundation); Francesco Bonchi (ISI Foundation, Turin)*

  • Curriculum Meta-Learning for Next POI Recommendation
    Authors: Yudong Chen (Tsinghua University)*; Xin Wang (Tsinghua University); Miao Fan (Baidu); Jizhou Huang (Baidu); Shengwen Yang (Baidu); Wenwu Zhu (Tsinghua University)

  • Debiasing Learning based Cross-domain Recommendation
    Authors: Siqing Li (Renmin University of China)*; Liuyi Yao (Alibaba Group); Shanlei Mu (Renmin University of China); Wayne Xin Zhao (Renmin University of China); Yaliang Li (Alibaba Group); Tonglei Guo (Alibaba Group); Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"); Ji-Rong Wen (Renmin University of China)

  • Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy
    Authors: Zai Huang (Alibaba Group)*; Mingyuan Tao (Alibaba Group); Bufeng Zhang (Alibaba Group)

  • Device-Cloud Collaborative Learning for Recommendation
    Authors: Jiangchao Yao (Damo Academy, Alibaba Group)*; Feng Wang (Alibaba Group); Kunyang Jia (DAMO Academy, Alibaba Group); Bo Han (HKBU / RIKEN); Jingren Zhou (Alibaba Group); Hongxia Yang (Alibaba Group)

  • Diet Planning with Machine Learning: Teacher-forced REINFORCE for composition compliance with nutrition enhancement
    Authors: Changhun Lee (UNIST); Soohyeok Kim (Ulsan National Institute of Science and Technology (UNIST)); Chiehyeon Lim (Ulsan National Institute of Science and Technology)*

  • Diversity driven Query Rewriting in Search Advertising
    Authors: Akash Kumar Mohankumar (Indian Institute of Technology Madras)*; Nikit Begwani (Microsoft India (R&D) Pvt. Ltd.); AMIT K SINGH (Microsoft)

  • DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction
    Authors: Fengtong Xiao (Alibaba Inc.)*; Lin Li (Alibaba Inc.); Weinan Xu (Alibaba Inc.); Jingyu Zhao (Alibaba Inc.); Xiaofeng Yang (Alibaba Inc.); Jun Lang (Alibaba Inc.); Hao Wang (Alibaba Inc.)

  • Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning
    Authors: Ignacio Segovia (University of Texas at Dallas); Huikyo Lee (NASA JPL Caltech); Yuzhou Chen (Southern Methodist University); Michael Garay (NASA); Krzysztof Gorski (NASA); Yulia R. Gel (The University of Texas at Dallas)*

  • Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
    Authors: Yu Wang (Microsoft Research); Jinchao Li (Microsoft); Tristan Naumann (Microsoft Research Redmond, US)*; Chenyan Xiong (Microsoft Research AI); Hao Cheng (Microsoft); Robert Tinn (Microsoft Research); Cliff Wong (Microsoft Research); Naoto Usuyama (Microsoft); Richard J Rogahn (Microsoft); Zhihong Shen (Microsoft Research Redmond); Yang Qin (Microsoft); Eric Horvitz (MSR); Paul Bennett (Microsoft Research); Jianfeng Gao (Microsoft Research); Hoifung Poon (Microsoft Research)

  • Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
    Authors: Pan Li (New York University)*; Zhichao Jiang (Alibaba Group); Maofei Que (Alibaba); Yao Hu (Alibaba Youku Cognitive and Intelligent Lab); Alexander Tuzhilin (New York University, USA)

  • Dynamic Language Models for Continuously Evolving Content
    Authors: Spurthi Amba Hombaiah (Google Research)*; Tao Chen (Google Research); Mingyang Zhang (Google); Michael Bendersky (Google); Marc Najork (Google)

  • Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
    Authors: Maya S Srikanth (California Institute of Technology)*; Animashree Anandkumar (Caltech); Anqi Liu (California Institute of Technology); Nicholas Adams-Cohen (Stanford University); R. Michael Alvarez (California Institute of Technology); Jian Cao (California institute of Technology)

  • Efficient deep distribution network for bid shading in First-Price Auctions
    Authors: Tian Zhou (Yahoo Research)*; Hao He (Verizon); Shengjun Pan (Verizon); Niklas Karlsson (Verizon); Bharatbhushan Shetty (Verizon); Brendan Kitts (Verizon); Djordje Gligorijevic (Verizon Media); Junwei Pan (Tencent); San Gultekin (Verizon); Tingyu Mao (Verizon); Jianlong Zhang (Verizon); Aaron Flores (Yahoo! Research)

  • Embedding-based Product Retrieval in Taobao Search
    Authors: Sen Li (Alibaba)*; Fuyu Lv (Alibaba); Taiwei Jin (Alibaba); Guli Lin (Alibaba Group); Keping Yang (Alibaba); Xiaoyi Zeng (Alibaba Group); Xiao-Ming Wu (The Hong Kong Polytechnic University); Qianli Ma (South China University of Technology)

  • Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning
    Authors: Hao Wang (Beijing Institute of Technology); Chi Harold Liu (Beijing Institute of Technology)*; Zipeng Dai (Beijing Institute of Technology); Jian Tang (Midea Group); Guoren Wang (Beijing Institute of Technology)

  • Pretrained Language Models for Web-scale Retrieval in Baidu Search
    Authors: Yiding Liu (Baidu Inc.)*; Weixue Lu (Baidu Inc.); Suqi Cheng (Baidu Inc.); Daiting Shi (Baidu Inc.); Shuaiqiang Wang (Baidu Inc.); zhicong cheng (Baidu); Dawei Yin (Baidu)

  • EXACTA: Explainable Column Annotation
    Authors: Yikun Xian (Rutgers University)*; Handong Zhao (Adobe Research); Tak Yeon Lee (Adobe Research); Sungchul Kim (Adobe); Ryan A. Rossi (Adobe Research); Zuohui Fu (Rutgers University); Gerard de Melo (Hasso Plattner Institute); S. Muthukrishnan

  • Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning
    Authors: Chao Du (Alibaba Group)*; Zhifeng Gao (Alibaba Group); Shuo Yuan (Alibaba Group); Lining Gao (Alibaba Group); Ziyan Li (Alibaba Group); Yifan Zeng (Alibaba Group); Xiaoqiang Zhu (Alibaba Group); Jian Xu (Alibaba Group); Kun Gai (Alibaba Group); Kuang-Chih Lee (Alibaba)

  • Extreme Multi-label Learning for Semantic Matching in Product Search
    Authors: Wei-Cheng Chang (Amazon)*; Daniel Jiang (Amazon); Hsiang-Fu Yu (Amazon); Choon Hui Teo (Amazon); Jiong Zhang (UT-Austin); Kai Zhong (Amazon); Kedarnath Kolluri (Amazon); Qie Hu (Amazon); Nikhil Shandilya (Amazon); Vyacheslav Ievgrafov (Amazon); Japinder Singh (Amazon); Inderjit S. Dhillon (UT Austin & Amazon)

  • FASER: Seismic Phase Identifier for Automated Monitoring
    Authors: Farhan Asif Chowdhury (The University of New Mexico)*; Mohammad Ashraf Siddiquee (University of New Mexico); Glen Eli Baker (Air Force Research Lab); Abdullah Mueen (University of New Mexico)

  • FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
    Authors: Yuexiang Xie (Alibaba Group)*; Zhen Wang (Alibaba Group); Yaliang Li (Alibaba Group); Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"); Nezihe Merve Gürel (ETH Zürich); Ce Zhang (ETH); Minlie Huang (Tsinghua University); Wei Lin (Alibaba Group); Jingren Zhou (Alibaba Group)

  • FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters
    Authors: Wenqi Jiang (ETH Zurich)*; Zhenhao He (ETH Zurich); Shuai Zhang (ETH Zurich); Kai Zeng (Alibaba Group); Liang Feng (Alibaba Group); Jiansong Zhang (Alibaba Group); Tongxuan Liu (Alibaba Group); Yong Li (Alibaba Group); Jingren Zhou (Alibaba Group); Ce Zhang (ETH); Gustavo Alonso (ETHZ)

  • FLOP: Federated Learning on Medical Datasets using Partial Networks
    Authors: Qian Yang (Duke University)*; Jianyi Zhang (Duke University); Weituo Hao (Duke University); Gregory P Spell (Duke University); Lawrence Carin Duke (CS)

  • GEM: Translation-free Zero-shot Global Entity Matcher for Global Catalogs
    Authors: Karim Bouyarmane (Amazon)*

  • Generating Mobility Trajectories with Retained Data Utility
    Authors: Chu Cao (Nanyang Technological University)*; Mo Li (Nanyang Technological University)

  • Globally Optimized Matchmaking in Online Games
    Authors: Qilin Deng (NetEase)*; Hao Li (NetEase); Kai Wang (Netease); Zhipeng Hu (Fuxi AI Lab in Netease); Runze Wu (NetEase Fuxi AI Lab); Linxia Gong (Fuxi AI Lab, Netease Inc); Jianrong Tao (Netease); Changjie Fan (NetEase Fuxi AI Lab); Peng Cui (Tsinghua University)

  • HALO: Hierarchy-aware Fault Localization for Cloud Systems
    Authors: Xu Zhang (Microsoft Research)*; Chao Du (Microsoft Research); Yifan Li (Microsoft Research); Yong Xu (Microsoft Research); Hongyu Zhang (University of Newcastle); Si Qin (Microsoft Research); Ze Li (Microsoft); Qingwei Lin (Microsoft Research); Yingnong Dang (Microsoft, USA); Andrew Zhou (Microsoft); Saravanakumar Rajmohan (Microsoft Office); Dongmei Zhang (Microsoft Research Asia)

  • Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection
    Authors: Yujie Fan (Case Western Reserve University); Mingxuan Ju (Case Western Reserve University); Shifu Hou (Case Western Reserve University); Yanfang Ye (Case Western Reserve University)*; Wenqiang Wan (Tencent Security Lab); Kui Wang (Tencent Security Lab); Yinming Mei (Tencent Security Lab); Qi Xiong (Tencent Security Lab)

  • HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps
    Authors: Jizhou Huang (Baidu)*; Haifeng Wang (Baidu); Yibo Sun (Baidu); Miao Fan (Baidu); Zhengjie Huang (Baidu); Chunyuan Yuan (Baidu); Yawen Li (BUPT)

  • Hierarchical Reinforcement Learning on Scarce Medical Resource Allocation with Imperfect Information
    Authors: Qianyue Hao (Tsinghua University); Fengli Xu (Tsinghua University); Lin Chen (The Hong Kong University of Science and Technology); Pan HUI (The Hong Kong University of Science and Technology); Yong Li (Tsinghua University)*

  • Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters
    Authors: Yuzhen Huang (Facebook Inc.)*; Xiaohan Wei (Facebook); Xing Wang (Facebook Inc.); Jiyan Yang (Facebook Inc.); Bor-Yiing Su (Facebook); Shivam Bharuka (Facebook); Dhruv Choudhary (Facebook Inc.); Zewei Jiang (Facebook); Hai Zheng (Facebook); Jack Langman (Facebook)

  • Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights
    Authors: David Dohan (Google)*; Andreea Gane (Google); Maxwell L Bileschi (Google); David Belanger (Google); Lucy Colwell (Google)

  • Improving the Information Disclosure in Mobility-on-Demand Systems
    Authors: Yue Yang (University of Sydney)*; Yuan Shi (Huolala); Dejian Wang (Huolala); Qisheng Chen (Huolala); Lei Xu (Shenzhen Research Institute of Big Data); Hanqian Li (Huolala); Zhouyu Fu (Huolala); Xin Li (Huolala); Hao Zhang (Huolala)

  • Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction
    Authors: Yu Zheng (Southwestern University of Finance and Economics); Yongxin Yang (University of Edinburgh ); Bowei Chen (University of Glasgow)*

  • Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection
    Authors: Can Liu (Alibaba Group)*; Li Sun (Alibaba Group); Xiang Ao (Institute of Computing Technology, CAS); Jinghua Feng (Ailbaba Group); Qing He (Institute of Computing Technology, Chinese Academy of Sciences); Hao Yang (Alibaba Group)

  • Interactive Audience Expansion On Large Scale Online Visitor Data
    Authors: Yeuk Yin Chan (New York University)*; Tung Mai (Adobe Research); Anup Rao (Adobe Research); Ryan A. Rossi (Adobe Research); Fan Du (Adobe Research); Claudio Silva (NYU); Juliana Freire (New York University)

  • Interpretable drug response prediction using a knowledge-based neural network
    Authors: Oliver Snow (Simon Fraser University)*; Hossein Sharifi Noghabi (Simon Fraser University); Jialin Lu (); Olga zolotareva (Bielefeld University); Mark Lee (Simon Fraser University); Martin Ester (Simon Fraser University)

  • JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu
    Authors: Hao LIU (Business Intelligence Lab, Baidu Research)*; Qian Gao (Baidu, Inc); Jiang Li (Baidu, Inc.); Xiaochao Liao (Baidu, Inc.); Hao Xiong (Baidu, Inc.); Guangxing Chen (Baidu, Inc.); Wenlin Wang (Baidu, Inc.); Guobao Yang (Baidu, Inc.); Zhiwei Zha (Baidu, Inc.); Daxiang Dong (Baidu Inc.); Dejing Dou (Baidu); Haoyi Xiong (Baidu Research)

  • Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines
    Authors: Guang Wang (Rutgers University)*; Zhou Qin (Rutgers University); Shuai Wang (Southeast University); Huijun Sun (Beijing Jiaotong University); Zheng Dong (Wayne State University); Desheng Zhang (Rutgers University)

  • Knowledge-Guided Efficient Representation Learning for Biomedical Domain
    Authors: Kishlay Jha (University of Virginia)*; Guangxu Xun (University of Virginia); Nan Du (Dawnlight Inc); Aidong Zhang (University of Virginia)

  • KompaRe: A Knowledge Graph Comparative Reasoning System
    Authors: Lihui Liu (University of Illinois at Urbana-Champaign)*; Boxin Du (University of Illinois at Urbana-Champaign); Yi R Fung (University of Illinois at Urbana-Champaign); Heng Ji (University of Illinois at Urbana-Champaign); Jiejun Xu (HRL); Hanghang Tong (University of Illinois at Urbana-Champaign)

  • Lambda Learner: Fast Incremental Learning on Data Streams
    Authors: Rohan Ramanath (LinkedIn Corporation)*; Konstantin Salomatin (LinkedIn); Jeffrey Gee (LinkedIn Corporation); Kirill Talanine (LinkedIn Corporation); Onkar Dalal (LinkedIn Corporation); Gungor Polatkan (LinkedIn Corporation); Sara Smoot (LinkedIn Corporation); Deepak Kumar (LinkedIn Corporation)

  • Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework
    Authors: Shuncheng Liu (University of Electronic Science and Technology of China)*; Han Su (University of Electronic Science and Technology of China); Yan Zhao (Aalborg University); Kai Zeng (Alibaba Group); Kai Zheng (University of Electronic Science and Technology of China)

  • Large-Scale Network Embedding in Apache Spark
    Authors: Wenqing Lin (Tencent)*

  • Learn to Expand Audience via Meta Hybrid Experts and Critics
    Authors: Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences)*; Yudan Liu (WeChat Search Application Department, Tencent); Ruobing Xie (WeChat Search Application Department, Tencent); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Xiaobo Hao (WeChat Search Application Department, Tencent); Kaikai Ge (WeChat Search Application Department, Tencent); Xu Zhang (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent); Juan Cao (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)

  • Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value
    Authors: Mingzhe Xing (Peking University)*; Shuqing Bian (Renmin University of China); Wayne Xin Zhao (Renmin University of China); Zhen Xiao (Peking University); xinji luo (tencent); Cunxiang Yin (Tencent); Jing Cai (tencent); Yancheng He (Tencent)

  • Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing
    Authors: Dingyuan Shi (Beihang University); Yongxin Tong (Beihang University)*; Zimu Zhou (Singapore Management University); Bingchen Song (Beihang University); Weifeng Lv (Beihang University); Qiang Yang (Hong Kong UST)

  • Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
    Authors: Sanshi Yu (University of Science and Technology of China); Zhuoxuan Jiang (JD AI Research)*; Dong-Dong Chen (JD AI Research); Shanshan Feng (Harbin Institute of Technology, Shenzhen); Dongsheng Li (Microsoft Research Asia); Qi Liu (" University of Science and Technology of China, China"); Jinfeng Yi (JD AI Research)

  • Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach
    Authors: Zhao Li (Alibaba Group); Haishuai Wang (Fairfield University,Department of Computer Science and Engineering); Peng Zhang (Guangzhou University)*; Pengrui Hui (Alibaba Group); Jiaming Huang (Alibaba Group); Jian Liao (Alibaba Group); Ji Zhang (The University of Southern Queensland); Jiajun Bu (Zhejiang University)

  • M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining
    Authors: Junyang Lin (Alibaba Group)*; Rui Men (Alibaba Group); An Yang (Alibaba Group); Chang Zhou (Alibaba Group); yichang zhang (alibaba); Peng Wang (Alibaba Group); Jingren Zhou (Alibaba Group); Jie Tang (Tsinghua University); Hongxia Yang (Alibaba Group)

  • Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach
    Authors: Junhao Hua (Alibaba Group)*; Ling Yan (Alibaba Inc.); Huan Xu (Alibaba Group); Cheng Yang (Alibaba Group)

  • Medical Entity Relation Verification with Large-scale Machine Reading Comprehension
    Authors: Yuan Xia (baidu)*; Chunyu Wang (Baidu Inc.); Zhenhui Shi (Baidu); Jingbo Zhou (Baidu Inc.); Chao Lu (Baidu Inc); Haifeng Huang (Baidu Inc); Hui Xiong (Rutgers University)

  • MEDTO: Medical Data to Ontology Matching using Hybrid Graph Neural Networks
    Authors: Junheng Hao (UCLA); Chuan Lei (IBM Research - Almaden)*; Vasilis Efthymiou (FORTH-ICS); Abdul H Quamar (IBM Research Almaden); Fatma Ozcan (Google); Yizhou Sun (UCLA); Wei Wang (UCLA)

  • MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning
    Authors: Chengyu Wang (Alibaba Group)*; Haojie Pan (Alibaba Group); Yuan Liu (Alibaba); Kehan Chen (Alibaba); Minghui Qiu (Alibaba); Wei Zhou (Alibaba); Jun Huang (Alibaba Group); Haiqing Chen (Alibaba Inc.); Wei Lin (Alibaba Group); Deng Cai (Zhejiang University, China)

  • MEOW: A Space-Efficient Non-Parametric Bid Shading Algorithm
    Authors: Wei Zhang (Tsinghua University); Brendan Kitts (Adap.tv (AOL))*; Yanjun Han (Stanford University); Zhengyuan Zhou (New York University); Tingyu Mao (Verizon); Hao He (Verizon); Shengjun Pan (Verizon); Aaron Flores (Yahoo! Research); San Gultekin (Verizon); Tsachy Weissman (Stanford University)

  • Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps
    Authors: Miao Fan (Baidu)*; Yibo Sun (Baidu); Jizhou Huang (Baidu); Haifeng Wang (Baidu); Ying Li (Baidu)

  • Micro-climate Prediction - Multi scale encoder-decoder based deep learning framework
    Authors: Peeyush Kumar (Microsoft Research)*; Ranveer Chandra (Microsoft Research); Chetan Bansal (Microsoft); Shivkumar Kalyanaraman (Microsoft); Tanuja Ganu (Microsoft Research)

  • MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance
    Authors: Zhihan Fang (Rutgers University); Guang Yang (Rutgers University); Dian Zhang (Lingnan University); Xiaoyang Xie (Rutgers University); Guang Wang (Rutgers University); Yu Yang (Rutgers University); Fan Zhang (Shenzhen Beidou Technology Company); Desheng Zhang (Rutgers University)*

  • MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge
    Authors: Mengying Sun (Michigan State University)*; Jing Xing (Michigan State University); Huijun Wang (Agios Pharmaceuticals); Bin Chen (Michigan State University); Jiayu Zhou (Michigan State University)

  • Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning for Customer Acquisition
    Authors: Dongbo Xi (Meituan)*; Zhen Chen (Meituan); Peng Yan (Meituan); Yinger Zhang (Meituan); Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Yu Chen (Meituan)

  • Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries
    Authors: Sukhdeep Sodhi (Google); Ka In Chio (Google Research); Ambarish Jash (Google); Santiago Ontanon (Google LLC)*; Ajit Apte (Google); Ankit Kumar (Google); Ayooluwakunmi Jeje (Google); Dima Kuzmin (Google); Harry Fung (Google); Heng-Tze Cheng (Google Research); Jon Effrat (Google); Tarush Bali (Google); Nitin Jindal (Google); Pei Cao (Google); Sarvjeet Singh (Google); Senqiang Zhou (Google); Tameen Khan (Google); Amol Wankhede (Google); Moustafa Alzantot (Google); Allen Wu (Google); Tushar Chandra (Google Research)

  • MPCSL - A Modular Pipeline for Causal Structure Learning
    Authors: Johannes Huegle (Hasso Plattner Institute)*; Christopher Hagedorn (Hasso Plattner Institute); Michael Perscheid (Hasso Plattner Institute); Hasso Plattner (Hasso Plattner Institute)

  • MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
    Authors: Weijia Zhang (School of Computer Science, University of Science and Technology of China)*; Hao Liu (Baidu Inc.); Lijun Zha (School of Computer Science, University of Science and Technology of China); Hengshu Zhu (Baidu); Ji Liu (Baidu Research); Dejing Dou (Baidu); Hui Xiong (the State University of New Jersey)

  • Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search
    Authors: Ziyu Guan (Xidian University); Hongchang Wu (Alibaba group); Qingyu Cao (Alibaba Group)*; Hao Liu (Alibaba group); Sheng Li (Alibaba Group); Jian Xu (Alibaba Group); Wei Zhao (Xidian University); CAI XU (Xidian university); Guang Qiu (Alibaba Group); Bo Zheng (Alibaba Group)

  • Multi-modal Emergent Fake News Detection via Meta Neural Process Networks
    Authors: Yaqing Wang (Purdue University)*; Fenglong Ma (Pennsylvania State University); Haoyu Wang (SUNY Buffalo); Kishlay Jha (University of Virginia); Jing Gao (University at Buffalo)

  • Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
    Authors: Zhiwei Wang (Michigan State University)*; Zhengzhang Chen (NEC Laboratories America, Inc.); Jingchao Ni ( NEC Laboratories America); Hui Liu (Michigan State University); Haifeng Chen (NEC Labs); Jiliang Tang (Michigan State University)

  • Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
    Authors: Zhihan Li (Tsinghua University)*; Youjian Zhao (Tsinghua University); Jiaqi Han (Tsinghua University); Ya Su (Tsinghua University); Rui Jiao (Tsinghua University); Xidao Wen (Tsinghua University); Dan Pei (Tsinghua University)

  • Network Experimentation at Scale
    Authors: Brian Karrer (Facebook)*; Liang Shi (Facebook); Monica Bhole (Facebook); Matt Goldman (Facebook); Tyrone Palmer (Facebook); Charlie Gelman (Facebook); Mikael Konutgan (Facebook); Feng Sun (Facebook)

  • Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
    Authors: Xiangyu Liu (Alibaba Group)*; Chuan Yu (Alibaba Group); Zhilin Zhang (Alibaba Group); ZHENZHE ZHENG (Shanghai Jiao Tong University); Yu Rong (Alibaba Group); Hongtao Lv (Shanghai Jiao Tong University); Da Huo (Shanghai Jiao Tong University); Yiqing Wang (Shanghai Jiao Tong University); Dagui Chen (Alibaba Group); Jian Xu (Alibaba Group); FAN WU (Shanghai Jiao Tong University); Guihai Chen (Shanghai Jiao Tong University); Xiaoqiang Zhu (Alibaba Group)

  • Neural Instant Search for Music and Podcast
    Authors: Helia Hashemi (University of Massachusetts Amherst)*; Aasish Pappu (Spotify); Mi Tian (Spotify); Praveen Chandar (Spotify); Mounia Lalmas (Spotify); Benjamin Carterette (Spotify)

  • On Post-Selection Inference in A/B Testing
    Authors: Yicheng Li (Microsoft)*; Alex Deng (Airbnb); Jiannan Lu (Microsoft Corporation); Vivek Ramamurthy (Microsoft)

  • On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
    Authors: Ching-yuan Bai (National Taiwan University)*; Hsuan-Tien Lin (National Taiwan University); Colin Raffel (Google); Wendy Kan (Google)

  • OpenBox: A Generalized Black-box Optimization Service
    Authors: Yang Li (Peking University)*; Yu Shen (Peking University); Wentao Zhang (Peking University); Yuanwei Chen (Peking University); Huai Jun Jiang (Peking University); Ming Chao Liu (Peking University); Jiawei Jiang (ETH Zurich); Jinyang Gao (Alibaba Group); Wentao Wu (Microsoft Research); Zhi Yang (Peking University); Ce Zhang (ETH); Bin Cui (Peking University)

  • PAM: Understanding Product Images in Cross Product Category Attribute Extraction
    Authors: Rongmei Lin (Emory University)*; Xiang He (Amazon); Jie Feng (Amazon); Nasser Zalmout (Amazon); Yan Liang (Amazon); Li Xiong (Emory University); Xin Luna Dong (Amazon.com)

  • PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma
    Authors: Linchuan Xu (The HongKong Polytechnic University)*; Ryo Asaoka (The University of Tokyo); Taichi Kiwaki (The University of Tokyo); Hiroshi Murata (The University of Tokyo); Yuri Fujino (The University of Tokyo); Kenji Yamanishi (The University of Tokyo)

  • PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis
    Authors: Yifei Chen (Tencent)*; Haoyu Ma (University of California, Irvine); Jiangyuan Wang (Tencent); Jianbao Wu (Tencent); Xian Wu (Tencent Medical AI Lab); Xiaohui Xie (University of California, Irvine)

  • Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization
    Authors: Ahmed Abdulaal (eBay)*; Zhuanghua Liu (eBay); Tomer Lancewicki (EBay)

  • Pre-trained Language Model based Ranking in Baidu Search
    Authors: Lixin Zou (Baidu Inc.)*; Shengqiang Zhang (Peking University); Hengyi Cai (Baidu Inc.); Dehong Ma (Baidu Inc.); Suqi Cheng (Baidu Inc.); Shuaiqiang Wang (Baidu Inc.); Daiting Shi (Baidu Inc.); zhicong cheng (Baidu); Dawei Yin (Baidu)

  • Predicting COVID-19 Spread from Large-Scale Mobility Data
    Authors: Amray Schwabe (ETHZ)*; Joel Persson (ETH Zurich); Stefan Feuerriegel (ETH Zurich)

  • Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors
    Authors: Yue He (Tsinghua University)*; Dong Yancheng (thu); Peng Cui (Tsinghua University); Yuhang Jiao (Beijing Kuaishou Technology Co., Ltd.); Xiaowei Wang (Beijing Kuaishou Technology Co., Ltd.); Ji Liu (Kuaishou Seattle AI Lab); Philip S Yu (UNIVERSITY OF ILLINOIS AT CHICAGO)

  • Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition
    Authors: Sihem Amer-Yahia (CNRS); Shady Elbassuoni (AUB)*; Ahmad Ghizzawi (AUB); Anas Hosami (AUB)

  • Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook
    Authors: Yiqun Liu (Facebook); Kaushik Rangadurai (Facebook); Xunlong Gui (Facebook); Xiaoyi Liu (Facebook); Yunzhong He (Facebook); Siddarth Malreddy (Facebook); Fedor Borisyuk (Facebook)*

  • RAPT: Pre-training of Time-Aware Transformer for Learning robust Healthcare Representation
    Authors: Houxing Ren (Beihang University); Jingyuan Wang (Beihang University)*; Wayne Xin Zhao (Renmin University of China); Ning Wu (Beihang University)

  • Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling
    Authors: Siyu Gu (Alibaba); Xiang-Rong Sheng (Alibaba)*; Ying Fan (Alibaba Group); Guorui Zhou (Alibaba Group); Xiaoqiang Zhu (Alibaba Group)

  • Recommending the Most Effective Interventions to Improve Employment for Job Seekers with Disability
    Authors: Ha Xuan TRAN (University of South Australia)*; Thuc Duy Le (University of South Australia); Jiuyong Li (University of South Australia); Lin Liu (University of South Australia); Jixue Liu (University of South Australia); Yanchang Zhao (CSIRO); Tony Waters (Maxima Training Group (Aust) Ltd.)

  • Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
    Authors: Shining Liang (Jilin University)*; Ming Gong (Microsoft STCA NLP Group); Jian Pei (Simon Fraser University); Linjun Shou (STCA NLP Group, Microsoft, Beijing); Wanli Zuo (Jilin University); Xiang-lin Zuo (Jilin University); Daxin Jiang (Microsoft, Beijing, China)

  • Reinforcing Pretrained Models for Generating Attractive Text Advertisements
    Authors: Xiting Wang (Microsoft Research Asia)*; Xinwei Gu (Simon Fraser University); Jie Cao (Microsoft); Zihua Zhao (Shanghai Jiao Tong University); Yulan Yan (Microsoft); Bhuvan Middha (Microsoft); Xing Xie (Microsoft Research Asia)

  • Representation Learning for Predicting Customer Orders
    Authors: Tongwen WU (City University of Hong Kong); Yu Yang (City University of Hong Kong)*; Yanzhi Li (City University of Hong Kong); Huiqiang Mao (Alibaba Group); Liming Li (Alibaba Group); Xiaoqing WANG (alibaba); Yuming Deng (Alibaba Group, Dept. New Retail Supply Chain)

  • Robust Object Detection Fusion Against Deception
    Authors: Ka-Ho Chow (Georgia Institute of Technology)*; Ling Liu (Georgia Institute of Technology)

  • Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network
    Authors: Jaehyuk Yi (KAIST)*; Jinkyoo Park (KAIST)

  • SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations
    Authors: Chenyi Lei (University of Science and Technology of China, Alibaba Group)*; Yong Liu (Nanyang Technological University); lingzi zhang (Nanyang Technological University); Guoxin Wang (Alibaba Group); Haihong Tang (Alibaba Group); Houqiang Li (University of Science and Technology of China); Chunyan Miao (NTU)

  • Session-Aware Query Auto-completion using Extreme Multi-label Ranking
    Authors: Nishant Yadav (University of Massachusetts Amherst)*; Rajat Sen (Google Research); Daniel N Hill (Amazon.com, Inc.); Arya Mazumdar (University of California, San Diego); Inderjit S. Dhillon (UT Austin & Amazon)

  • SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce
    Authors: Andrea Nestler (Zalando SE)*; Nour Karessli (Zalando SE); Karl Hajjar (Zalando SE); Rodrigo Weffer (Zalando SE); Reza Shirvany (Zalando SE)

  • Sliding Spectrum Decomposition for Diversified Recommendation
    Authors: Yanhua Huang (Xiaohongshu)*; Weikun Wang (Xiaohongshu); Lei Zhang (Xiaohongshu); Ruiwen Xu (Xiaohongshu)

  • SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps
    Authors: Xiaomin Fang (Baidu)*; Jizhou Huang (Baidu); Fan Wang (Baidu, Inc.); Lihang Liu (Baidu); Yibo Sun (Baidu); Haifeng Wang (Baidu)

  • Supporting COVID-19 policy response with large-scale mobility-based modeling
    Authors: Serina Y Chang (Stanford University)*; Mandy Wilson (Biocomplexity Institute & Initiative, University of Virginia); Bryan Leroy Lewis (Biocomplexity Institute & Initiative, University of Virginia); Zakaria Mehrab (Biocomplexity Institute & Initiative, University of Virginia); Emma J Pierson (Stanford University); Pang Wei Koh (Stanford University); Jaline Gerardin (Northwestern University); Beth Redbird (Northwestern University); David Grusky (Stanford University); Madhav Marathe (Biocomplexity Institute & Initiative, University of Virginia); Jure Leskovec (Stanford University)

  • Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis
    Authors: Jiachen Wang (Zhejiang University)*; Dazhen Deng (Zhejiang University); Xiao Xie (Zhejiang University); Xinhuan Shu (Zhejiang University); Yu-Xuan Huang (Nanjing University); Le-Wen Cai (Nanjing University); Hui Zhang (Zhejiang University); Min-Ling Zhang (Southeast University); Zhi-Hua Zhou (Nanjing University); Yingcai Wu (Zhejiang University and Zhejiang Lab)

  • Talent Demand Forecasting with Attentive Neural Sequential Model
    Authors: Qi Zhang (University of Science and Technology of China)*; Hengshu Zhu (Baidu Talent Intelligence Center, Baidu Inc.); Ying Sun (Institute Of Computing Technology, Chinese Academy Of Sciences); Hao LIU (Business Intelligence Lab, Baidu Research); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Hui Xiong (Rutgers University)

  • Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
    Authors: Mingcheng Chen (Shanghai Jiao Tong University)*; Zhenghui Wang (Shanghai Jiao Tong University); Zhiyun Zhao (Shanghai RuiJin Hospital); Weinan Zhang (Shanghai Jiao Tong University); Xiawei Guo (4Paradigm); Jian Shen (Shanghai Jiao Tong University); Yanru Qu (Shanghai Jiao Tong University); Jieli Lu (Shanghai RuiJin Hospital); Min Xu (Shanghai RuiJin Hospital); Yu Xu (Shanghai RuiJin Hospital); Tiange Wang (Shanghai RuiJin Hospital); Mian Li (Shanghai RuiJin Hospital); Wei-Wei Tu (4th Paradigm); Yong Yu (Shanghai Jiao Tong University); Yufang Bi (Shanghai Jiao Tong University); Weiqing Wang (Shanghai RuiJin Hospital); Guang Ning (Shanghai RuiJin Hospital)

  • Theory Meets Practice: Worst Case Behavior of Quantile Algorithms
    Authors: Graham Cormode (University of Warwick); Abhinav Mishra (Splunk); Joseph Ross (Splunk); Pavel Vesely (University of Warwick)*

  • Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
    Authors: Cheng Feng (Siemens)*; Pengwei Tian (Siemens)

  • TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
    Authors: Joao Bento (Feedzai); Pedro Saleiro (Feedzai)*; André F. Cruz (Feedzai); Mario Figueiredo (University of Lisbon); Pedro Bizarro (Feedzai)

  • Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference
    Authors: Jianing Xi (School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University); Liping Ye (School of Computer Science, Northwestern Polytechnical University); Qinghua Huang (School of Mechanical Engineering, and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, China)*; Xuelong Li (Northwestern Polytechnical University)

  • Towards the D-Optimal Online Experiment Design for Recommender Selection
    Authors: Da Xu (Walmart Labs)*; Chuanwei Ruan (Walmart Labs); Evren Korpeoglu (Walmart Labs); Sushant Kumar (Walmart Labs); Kannan Achan (Walmart Labs)

  • Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism
    Authors: Vipul Gupta (UC Berkeley)*; Dhruv Choudhary (Facebook Inc.); Peter Tang (Facebook Inc.); Xiaohan Wei (Facebook); Yuzhen Huang (Facebook Inc.); Xing Wang (Facebook Inc.); Arun Kejariwal (Facebook Inc.); Ramchandran Kannan (Department of Electrical Engineering and Computer Science University of California, Berkeley); Michael Mahoney ("University of California, Berkeley")

  • Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design
    Authors: Min Liu (LinkedIn)*; Jialiang Mao (LinkedIn Corp); Kang Kang (LinkedIn Corp)

  • Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization
    Authors: Guy Barshatski (Technion)*; Kira Radinsky (Technion)

  • Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach
    Authors: Xiao Liang (Tencent Inc.); Zheng Yang (Tsinghua University); Binghui Wang (Duke University); Shaofeng Hu (Tencent Inc.); Zijie Yang (Tsinghua University); Dong Yuan (Tsinghua University); Neil Zhenqiang Gong (Duke University); Qi Li (Tsinghua University)*; Fang He (Tencent Inc.)

  • User Consumption Intention Prediction in Meituan
    Authors: Yukun Ping (Tsinghua University)*; Chen Gao (Tsinghua University); Taichi Liu (Tsinghua University); Xiaoyi Du (Meituan); Hengliang Luo (Meituan); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University)

  • Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms
    Authors: Xiaocheng Tang (DiDi AI Labs)*; Fan Zhang (DiDi AI Labs); ZHIWEI QIN (Didi Research America); Yansheng Wang (Beihang University); Dingyuan Shi (Beihang University); Bingchen Song (Beihang University); Yongxin Tong (Beihang University); Hongtu Zhu (AI Labs, Didi Chuxing); Jieping Ye (Didi Chuxing & University of Michigan)

  • VisRel: Media Search at Scale
    Authors: Fedor Borisyuk (Facebook)*; Siddarth Malreddy (Facebook); Jun Mei (Facebook); Yiqun Liu (Facebook); Xiaoyi Liu (Facebook); Piyush Maheshwari (Facebook); Kaushik Rangadurai (Facebook)

  • VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search
    Authors: Shaunak Mishra (Yahoo Research)*; Mikhail Kuznetsov (Yahoo! Research); Gaurav Srivastava (Yahoo Research); Maxim Sviridenko (Yahoo! Research)

  • We Know What You Want: An Advertising Strategy Recommender System for Online Advertising
    Authors: Liyi Guo (Shanghai Jiao Tong University)*; Junqi Jin (Alibaba Group); Haoqi Zhang (Shanghai Jiao Tong University); ZHENZHE ZHENG (Shanghai Jiao Tong University); Zhiye Yang (Alibaba Group); Zhizhuang Xing (Alibaba Group); Fei Pan (Alibaba Group); Lvyin Niu (Alibaba Group); FAN WU (Shanghai Jiao Tong University); Haiyang Xu (Alibaba Group); Chuan Yu (Alibaba Group); Yuning Jiang (Alibaba Group); Xiaoqiang Zhu (Alibaba Group)

  • Web-Scale Generic Object Detection at Microsoft Bing
    Authors: Xi Stephen Chen (Microsoft)*; Saurajit Mukherjee (microsoft); Unmesh Phadke (Microsoft); Tingting Wang (Microsoft); Junwon Park (Microsoft); Ravi Theja Yada (Microsoft)

  • What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data
    Authors: Charbel Merhej (University of Southampton)*; Ryan J Beal (University of Southampton); Tim Matthews (Sentient Sports); Sarvapali Ramchurn (University of Southampton)

  • When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications
    Authors: Chaochao Chen (Ant Group)*; Jun Zhou (Ant Financial); Li Wang (Ant Group); Xibin Wu (Ant Financial); Wenjing Fang (Ant Financial); Jin Tan (Ant Financial); Lei Wang (Ant Financial Services Group); Alex X. Liu (Ant Financial Services Group); Hao Wang; Cheng Hong (Alibaba Group)

  • Would your tweet invoke hate on the fly? Forecasting hate intensity of reply threads on Twitter
    Authors: Snehil Dahiya (Indraprastha Institute of Information Technology Delhi (IIIT-D)); Shalini Sharma (Indraprashtha Institute of Information Technology Delhi); Dhruv Sahnan (Indraprastha Institute of Information Technology Delhi (IIIT-D)); Vasu Goel (Indraprastha Institute of Information Technology, Delhi); Angshul Majumdar (IIIT Delhi); Victor Elvira (University of Edinburgh); Emilie Chouzenoux (CentraleSupélec and Université Paris-Est Marne la Vallée); Anil Bandhakavi (Logically); Tanmoy Chakraborty (Indraprastha Institute of Information Technology Delhi (IIIT-D),India )*

  • Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing
    Authors: Rajarshee Mitra (Microsoft)*; Rhea Jain (Microsoft); Aditya Srikanth Veerubhotla (Microsoft); Manish Gupta (Microsoft,India)

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