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Table of Contents

Author Index

A Message from the KDD 2019 General Chairs
Ankur Teredesai (Kensci)
Vipin Kumar (UMN)

KDD 2019 Program Chairs’ Welcome
Ying Li (EV Analysis Corporation)
Rómer Rosales (LinkedIn)
Evimaria Terzi (Boston University)
George Karypis (University of Minnesota)

KDD 2019 Conference Organizing Committee

KDD 2019 Research Track Senior Program Committee

KDD 2019 Applied Science Track Senior Program Committee

KDD 2019 Research Track Program Committee

KDD 2019 Applied Science Track Program Committee

KDD 2019 Sponsor & Supporters

Keynote Talks

Research Track Papers

Applied Data Science Track Papers

Applied Data Science Invited Talks

Tutorials

Keynote Talks

Do Simpler Models Exist and How Can We Find Them? (Page 1)
Cynthia Rudin (Duke University)

The Unreasonable Effectiveness, and Difficulty, of Data in Healthcare (Page 3)
Peter Lee (Microsoft Healthcare)

Research Track Papers

A Free Energy Based Approach for Distance Metric Learning (Page 5)
Sho Inaba (University of Massachusetts Boston)
Carl T. Fakhry (University of Massachusetts Boston)
Rahul V. Kulkarni (University of Massachusetts Boston)
Kourosh Zarringhalam (University of Massachusetts Boston)

A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction (Page 14)
Qingxin Meng (Rutgers-The State University of New Jersey)
Hengshu Zhu (Talent Intelligence Center, Baidu Inc.)
Keli Xiao (Stony Brook University)
Le Zhang (University of Science and Technology of China)
Hui Xiong (Rutgers-The State University of New Jersey & Baidu Inc.)

A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets (Page 25)
Pinghui Wang (Xi'an Jiaotong University)
Yiyan Qi (Xi'an Jiaotong University)
Yuanming Zhang (Xi'an Jiaotong University)
Qiaozhu Zhai (Xi'an Jiaotong University)
Chenxu Wang (Xi'an Jiaotong University)
John C.S. Lui (The Chinese University of Hong Kong)
Xiaohong Guan (Xi'an Jiaotong University & Tsinghua University)

A Minimax Game for Instance based Selective Transfer Learning (Page 34)
Bo Wang (Alibaba Group)
Minghui Qiu (Alibaba Group & Zhejiang University)
Xisen Wang (Alibaba Group)
Yaliang Li (Alibaba Group)
Yu Gong (Alibaba Group)
Xiaoyi Zeng (Alibaba Group)
Jun Huang (Alibaba Group)
Bo Zheng (Alibaba Group)
Deng Cai (Zhejiang University)
Jingren Zhou (Alibaba Group)

A Multiscale Scan Statistic for Adaptive Submatrix Localization (Page 44)
Yuchao Liu (Microsoft Corporation)
Ery Arias-Castro (University of California San Diego)

A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health (Page 54)
Elias Chaibub Neto (Sage Bionetworks)
Abhishek Pratap (Sage Bionetworks)
Thanneer M. Perumal (Sage Bionetworks)
Meghasyam Tummalacherla (Sage Bionetworks)
Brian M. Bot (Sage Bionetworks)
Lara Mangravite (Sage Bionetworks)
Larsson Omberg (Sage Bionetworks)

A Representation Learning Framework for Property Graphs (Page 65)
Yifan Hou (The Chinese University of Hong Kong)
Hongzhi Chen (The Chinese University of Hong Kong)
Changji Li (The Chinese University of Hong Kong)
James Cheng (The Chinese University of Hong Kong)
Ming-Chang Yang (The Chinese University of Hong Kong)

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability (Page 74)
Yang Yang (Nanjing University)
Da-Wei Zhou (Nanjing University)
De-Chuan Zhan (Nanjing University)
Hui Xiong (Rutgers University)
Yuan Jiang (Nanjing University)

Adaptive Graph Guided Disambiguation for Partial Label Learning (Page 83)
Deng-Bao Wang (Southwest University)
Li Li (Southwest University)
Min-Ling Zhang (Southeast University & Ministry of Education)

Adaptive Unsupervised Feature Selection on Attributed Networks (Page 92)
Jundong Li (Arizona State University)
Ruocheng Guo (Arizona State University)
Chenghao Liu (Singapore Management University)
Huan Liu (Arizona State University)

Adaptive-Halting Policy Network for Early Classification (Page 101)
Thomas Hartvigsen (Worcester Polytechnic Institute)
Cansu Sen (Worcester Polytechnic Institute)
Xiangnan Kong (Worcester Polytechnic Institute)
Elke Rundensteiner (Worcester Polytechnic Institute)

ADMM for Efficient Deep Learning with Global Convergence (Page 111)
Junxiang Wang (George Mason University)
Fuxun Yu (George Mason University)
Xiang Chen (George Mason University)
Liang Zhao (George Mason University)

Adversarial Learning on Heterogeneous Information Networks (Page 120)
Binbin Hu (Beijing University of Posts and Telecommunications & Ant Financial Services Group)
Yuan Fang (Singapore Management University)
Chuan Shi (Beijing University of Posts and Telecommunications)

Adversarial Substructured Representation Learning for Mobile User Profiling (Page 130)
Pengyang Wang (Missouri University of Science and Technology)
Yanjie Fu (Missouri University of Science and Technology)
Hui Xiong (Rutgers University)
Xiaolin Li (Nanjing University)

Adversarial Variational Embedding for Robust Semi-supervised Learning (Page 139)
Xiang Zhang (University of New South Wales)
Lina Yao (University of New South Wales)
Feng Yuan (University of New South Wales)

Adversarially Robust Submodular Maximization under Knapsack Constraints (Page 148)
Dmitrii Avdiukhin (Indiana University)
Slobodan Mitrovic (Massachusetts Institute of Technology)
Grigory Yaroslavtsev (Indiana University & The Alan Turing Institute)
Samson Zhou (Indiana University)

An Visual Dialog Augmented Interactive Recommender System (Page 157)
Tong Yu (Samsung Research America)
Yilin Shen (Samsung Research America)
Hongxia Jin (Samsung Research America)

Assessing The Factual Accuracy of Generated Text (Page 166)
Ben Goodrich (Google Brain)
Vinay Rao (Google Brain)
Peter J. Liu (Google Brain)
Mohammad Saleh (Google Brain)

AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization (Page 176)
Cong Fu (Zhejiang University)
Yonghui Zhang (Zhejiang University)
Deng Cai (Alibaba-Zhejiang University Joint Institute of Frontier Technologies)
Xiang Ren (University of Southern California)

Attribute-Driven Backbone Discovery (Page 187)
Sheng Guan (Washington State University)
Hanchao Ma (Washington State University)
Yinghui Wu (Washington State University & Pacific Northwest National Laboratory)

Auditing Data Provenance in Text-Generation Models (Page 196)
Congzheng Song (Cornell University)
Vitaly Shmatikov (Cornell Tech)

Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning (Page 207)
Kunpeng Liu (University of Central Florida)
Yanjie Fu (University of Central Florida)
Pengfei Wang (CNIC, Chinese Academy of Sciences)
Le Wu (Hefei University of Technology)
Rui Bo (Missouri University of Sci. and Tech.)
Xiaolin Li (Nanjing University)

AutoNE: Hyperparameter Optimization for Massive Network Embedding (Page 216)
Ke Tu (Tsinghua University)
Jianxin Ma (Tsinghua University)
Peng Cui (Tsinghua University)
Jian Pei (Simon Fraser University and JD.com)
Wenwu Zhu (Tsinghua University)

Axiomatic Interpretability for Multiclass Additive Models (Page 226)
Xuezhou Zhang (University of Wisconsin-Madison)
Sarah Tan (Cornell University)
Paul Koch (Microsoft Research)
Yin Lou (Ant Financial)
Urszula Chajewska (Microsoft)
Rich Caruana (Microsoft Research)

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction (Page 235)
Wenyi Xiao (Hong Kong University of Science and Technology)
Huan Zhao (Hong Kong University of Science and Technology)
Haojie Pan (Hong Kong University of Science and Technology)
Yangqiu Song (Hong Kong University of Science and Technology)
Vincent W. Zheng (WeBank, China)
Qiang Yang (WeBank, China)

Certifiable Robustness and Robust Training for Graph Convolutional Networks (Page 246)
Daniel Zügner (Technical University of Munich)
Stephan Günnemann (Technical University of Munich)

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks (Page 257)
Wei-Lin Chiang (National Taiwan University & Google Research)
Xuanqing Liu (University of California, Los Angeles & Google Research)
Si Si (Google Research)
Yang Li (Google Research)
Samy Bengio (Google Research)
Cho-Jui Hsieh (University of California, Los Angeles)

Clustering without Over-Representation (Page 267)
Sara Ahmadian (Google Research)
Alessandro Epasto (Google Research)
Ravi Kumar (Google Research)
Mohammad Mahdian (Google Research)

Conditional Random Field Enhanced Graph Convolutional Neural Networks (Page 276)
Hongchang Gao (University of Pittsburgh & JD Finance America Corporation)
Jian Pei (Simon Fraser University)
Heng Huang (University of Pittsburgh & JD Finance America Corporation)

Contextual Fact Ranking and Its Applications in Table Synthesis and Compression (Page 285)
Silu Huang (University of Illinois, Urbana-Champaign)
Jialu Liu (Google Research)
Flip Korn (Google Research)
Xuezhi Wang (Google Research)
You Wu (Google Research)
Dale Markowitz (Google Research)
Cong Yu (Google Research)

Contrastive Antichains in Hierarchies (Page 294)
Anes Bendimerad (University of Lyon)
Jefrey Lijffijt (Ghent University)
Marc Plantevit (University of Lyon)
Céline Robardet (University of Lyon)
Tijl De Bie (Ghent University)

Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network (Page 305)
Junchen Ye (Beihang University)
Leilei Sun (Beihang University)
Bowen Du (Beihang University)
Yanjie Fu (University of Central Florida)
Xinran Tong (Beihang University)
Hui Xiong (Rutgers University)

Coresets for Minimum Enclosing Balls over Sliding Windows (Page 314)
Yanhao Wang (National University of Singapore)
Yuchen Li (Singapore Management University)
Kian-Lee Tan (National University of Singapore)

CoSTCo: A Neural Tensor Completion Model for Sparse Tensors (Page 324)
Hanpeng Liu (University of Southern California)
Yaguang Li (University of Southern California)
Michael Tsang (University of Southern California)
Yan Liu (University of Southern California)

Coupled Variational Recurrent Collaborative Filtering (Page 335)
Qingquan Song (Texas A&M University)
Shiyu Chang (MIT-IBM Watson AI Lab, IBM Research)
Xia Hu (Texas A&M University)

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation (Page 344)
Donghua Liu (Wuhan University)
Jing Li (Wuhan University)
Bo Du (Wuhan University)
Jun Chang (Wuhan University)
Rong Gao (Hubei University of Technology)

Deep Anomaly Detection with Deviation Networks (Page 353)
Guansong Pang (University of Adelaide)
Chunhua Shen (University of Adelaide)
Anton van den Hengel (University of Adelaide)

Deep Landscape Forecasting for Real-time Bidding Advertising (Page 363)
Kan Ren (Shanghai Jiao Tong University)
Jiarui Qin (Shanghai Jiao Tong University)
Lei Zheng (Shanghai Jiao Tong University)
Zhengyu Yang (Shanghai Jiao Tong University)
Weinan Zhang (Shanghai Jiao Tong University)
Yong Yu (Shanghai Jiao Tong University)

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information (Page 373)
Maya Okawa (NTT Corporation)
Tomoharu Iwata (NTT Corporation)
Takeshi Kurashima (NTT Corporation)
Yusuke Tanaka (NTT Corporation)
Hiroyuki Toda (NTT Corporation)
Naonori Ueda (NTT Corporation)

DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks (Page 384)
Guolin Ke (Microsoft Research)
Zhenhui Xu (Peking University)
Jia Zhang (Microsoft Research)
Jiang Bian (Microsoft Research)
Tie-Yan Liu (Microsoft Research)

dEFEND: Explainable Fake News Detection (Page 395)
Kai Shu (Arizona State University)
Limeng Cui (Penn State University)
Suhang Wang (Penn State University)
Dongwon Lee (Penn State University)
Huan Liu (Arizona State University)

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification (Page 406)
Jun Wu (Arizona State University)
Jingrui He (Arizona State University)
Jiejun Xu (HRL Laboratories, LLC)

Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction (Page 416)
Jing-Han Wu (Southeast University & Ministry of Education)
Min-Ling Zhang (Southeast University & Ministry of Education)

Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models (Page 425)
Michael Doron (Hebrew University of Jerusalem)
Idan Segev (Hebrew University of Jerusalem)
Dafna Shahaf (Hebrew University of Jerusalem)

Dual Averaging Method for Online Graph-structured Sparsity (Page 436)
Baojian Zhou (University at Albany, SUNY)
Feng Chen (University at Albany, SUNY)
Yiming Ying (University at Albany, SUNY)

Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination (Page 447)
Qitian Wu (Shanghai Jiao Tong University)
Yirui Gao (Shanghai Jiao Tong University)
Xiaofeng Gao (Shanghai Jiao Tong University)
Paul Weng (Shanghai Jiao Tong University)
Guihai Chen (Shanghai Jiao Tong University)

Dynamic Modeling and Forecasting of Time-evolving Data Streams (Page 458)
Yasuko Matsubara (Osaka University)
Yasushi Sakurai (Osaka University)

Dynamical Origins of Distribution Functions (Page 469)
Chengxi Zang (Tsinghua University & Weill Cornell Medicine)
Peng Cui (Tsinghua University)
Wenwu Zhu (Tsinghua University)
Fei Wang (Weill Cornell Medicine)

EdMot: An Edge Enhancement Approach for Motif-aware Community Detection (Page 479)
Pei-Zhen Li (Sun Yat-sen University)
Ling Huang (Sun Yat-sen University)
Chang-Dong Wang (Sun Yat-sen University)
Jian-Huang Lai (Sun Yat-sen University)

Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation (Page 488)
Lisi Chen (Inception Institute of Artificial Intelligence)
Shuo Shang (University of Electronic Science and Technology of China & Inception Institute of Artificial Intelligence)
Christian S. Jensen (Aalborg University)
Bin Yao (Shanghai Jiao Tong University)
Zhiwei Zhang (Hong Kong Baptist University)
Ling Shao (Inception Institute of Artificial Intelligence)

Effective and Efficient Sports Play Retrieval with Deep Representation Learning (Page 499)
Zheng Wang (Nanyang Technological University)
Cheng Long (Nanyang Technological University)
Gao Cong (Nanyang Technological University)
Ce Ju (Intelligent Driving Group, Baidu Inc.)

Efficient and Effective Express via Contextual Cooperative Reinforcement Learning (Page 510)
Yexin Li (Hong Kong University of Science and Technology)
Yu Zheng (JD Intelligent Cities Business Unit)
Qiang Yang (Hong Kong University of Science and Technology)

Efficient Global String Kernel with Random Features: Beyond Counting Substructures (Page 520)
Lingfei Wu (IBM Research)
Ian En-Hsu Yen (Carnegie Mellon University)
Siyu Huo (IBM Research)
Liang Zhao (George Mason University)
Kun Xu (IBM Research)
Liang Ma (IBM Research)
Shouling Ji (Zhejiang University)
Charu Aggarwal (IBM Research)

Efficient Maximum Clique Computation over Large Sparse Graphs (Page 529)
Lijun Chang (The University of Sydney)

Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation (Page 539)
Jingyuan Wang (Beihang University)
Ning Wu (Beihang University)
Wayne Xin Zhao (Renmin University of China)
Fanzhang Peng (Beihang University)
Xin Lin (Beihang University)

Enhancing Collaborative Filtering with Generative Augmentation (Page 548)
Qinyong Wang (The University of Queensland)
Hongzhi Yin (The University of Queensland)
Hao Wang (Alibaba AI Labs)
Quoc Viet Hung Nguyen (Griffith University)
Zi Huang (The University of Queensland)
Lizhen Cui (Shandong University)

Enhancing Domain Word Embedding via Latent Semantic Imputation (Page 557)
Shibo Yao (New Jersey Institute of Technology)
Dantong Yu (New Jersey Institute of Technology)
Keli Xiao (Stony Brook University)

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation (Page 566)
Wenjie Shang (Nanjing University)
Yang Yu (Nanjing University)
Qingyang Li (AI Labs, Didi Chuxing)
Zhiwei Qin (AI Labs, Didi Chuxing)
Yiping Meng (AI Labs, Didi Chuxing)
Jieping Ye (AI Labs, Didi Chuxing)

EpiDeep: Exploiting Embeddings for Epidemic Forecasting (Page 577)
Bijaya Adhikari (Virginia Tech)
Xinfeng Xu (Virginia Tech)
Naren Ramakrishnan (Virginia Tech)
B. Aditya Prakash (Virginia Tech)

Estimating Graphlet Statistics via Lifting (Page 587)
Kirill Paramonov (Google)
Dmitry Shemetov (University of California, Davis)
James Sharpnack (University of California, Davis)

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks (Page 596)
Namyong Park (Carnegie Mellon University & Amazon)
Andrey Kan (Amazon)
Xin Luna Dong (Amazon)
Tong Zhao (Amazon)
Christos Faloutsos (Carnegie Mellon University & Amazon)

ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data (Page 607)
Songshan Yang (The Pennsylvania State University)
Jiawei Wen (The Pennsylvania State University)
Xiang Zhan (The Pennsylvania State University)
Daniel Kifer (The Pennsylvania State University)

Exact-K Recommendation via Maximal Clique Optimization (Page 617)
Yu Gong (Alibaba Group)
Yu Zhu (Alibaba Group)
Lu Duan (Zhejiang Cainiao Supply Chain Management Co., Ltd)
Qingwen Liu (Alibaba Group)
Ziyu Guan (Xidian University)
Fei Sun (Alibaba Group)
Wenwu Ou (Alibaba Group)
Kenny Q. Zhu (Shanghai Jiao Tong University)

Exploiting Cognitive Structure for Adaptive Learning (Page 627)
Qi Liu (University of Science and Technology of China)
Shiwei Tong (University of Science and Technology of China)
Chuanren Liu (University of Tennessee)
Hongke Zhao (Tianjin University)
Enhong Chen (University of Science and Technology of China)
Haiping Ma (iFLYTEK CO., LTD & State Key Laboratory of Cognitive Intelligence)
Shijin Wang (iFLYTEK CO., LTD & State Key Laboratory of Cognitive Intelligence)

Factorization Bandits for Online Influence Maximization (Page 636)
Qingyun Wu (University of Virginia)
Zhige Li (Shanghai Jiao Tong University)
Huazheng Wang (University of Virginia)
Wei Chen (Microsoft Research)
Hongning Wang (University of Virginia)

Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach (Page 647)
Minji Yoon (Carnegie Mellon University)
Bryan Hooi (National University of Singapore)
Kijung Shin (Korea Advanced Institute of Science and Technology)
Christos Faloutsos (Carnegie Mellon University)

Fast Approximation of Empirical Entropy via Subsampling (Page 658)
Chi Wang (Microsoft Research)
Bailu Ding (Microsoft Research)

Fates of Microscopic Social Ecosystems: Keep Alive or Dead? (Page 668)
Haoyang Li (Tsinghua University)
Peng Cui (Tsinghua University)
Chengxi Zang (Tsinghua University)
Tianyang Zhang (Tsinghua University)
Wenwu Zhu (Tsinghua University)
Yishi Lin (Tencent)

Fighting Opinion Control in Social Networks via Link Recommendation (Page 677)
Victor Amelkin (University of Pennsylvania)
Ambuj K. Singh (University of California, Santa Barbara)

Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging (Page 686)
Nikita Klyuchnikov (Skoltech)
Davide Mottin (Aarhus University)
Georgia Koutrika (Athena Research and Innovation Center)
Emmanuel Müller (University of Bonn)
Panagiotis Karras (Aarhus University)

Focused Context Balancing for Robust Offline Policy Evaluation (Page 696)
Hao Zou (Tsinghua University & Beijing National Research Center for Information Science and Technology (BNRist).)
Kun Kuang (Tsinghua University)
Boqi Chen (Boston University & Tsinghua University)
Peixuan Chen (Tencent)
Peng Cui (Tsinghua University)

GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization (Page 705)
Peng Han (King Abdullah University of Science and Technology)
Peng Yang (Cognitive Computing Lab, Baidu Research USA)
Peilin Zhao (Tencent AI Lab)
Shuo Shang (University of Electronic Science and Technology of China & Inception Institute of Artificial Intelligence)
Yong Liu (Alibaba-NTU Singapore Joint Research Institute, Nanyang Technological University)
Jiayu Zhou (Michigan State University)
Xin Gao (King Abdullah University of Science and Technology)
Panos Kalnis (King Abdullah University of Science and Technology)

Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space (Page 714)
Nicholas Monath (University of Massachusetts, Amherst)
Manzil Zaheer (Google Research)
Daniel Silva (Google Research)
Andrew McCallum (University of Massachusetts, Amherst)
Amr Ahmed (Google Research)

Graph Convolutional Networks with EigenPooling (Page 723)
Yao Ma (Michigan State University)
Suhang Wang (Pennsylvania State University)
Charu C. Aggarwal (IBM T. J. Watson Research Center)
Jiliang Tang (Michigan State University)

Graph Recurrent Networks With Attributed Random Walks (Page 732)
Xiao Huang (Texas A&M University)
Qingquan Song (Texas A&M University)
Yuening Li (Texas A&M University)
Xia Hu (Texas A&M University)

Graph Representation Learning via Hard and Channel-Wise Attention Networks (Page 741)
Hongyang Gao (Texas A&M University)
Shuiwang Ji (Texas A&M University)

Graph Transformation Policy Network for Chemical Reaction Prediction (Page 750)
Kien Do (Deakin University)
Truyen Tran (Deakin University)
Svetha Venkatesh (Deakin University)

Graph-based Semi-Supervised & Active Learning for Edge Flows (Page 761)
Junteng Jia (Cornell University)
Michael T. Schaub (Massachusetts Institute of Technology & University of Oxford)
Santiago Segarra (Rice University)
Austin R. Benson (Cornell University)

GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data (Page 772)
Yujun Yan (University of Michigan)
Jiong Zhu (University of Michigan)
Marlena Duda (University of Michigan)
Eric Solarz (University of Michigan)
Chandra Sripada (University of Michigan)
Danai Koutra (University of Michigan)

HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings (Page 783)
Changping Meng (Purdue University)
Jiasen Yang (Purdue University)
Bruno Ribeiro (Purdue University)
Jennifer Neville (Purdue University)

Heterogeneous Graph Neural Network (Page 793)
Chuxu Zhang (University of Notre Dame)
Dongjin Song (NEC Laboratories America, Inc.)
Chao Huang (University of Notre Dame, JD Digits)
Ananthram Swami (US Army Research Laboratory)
Nitesh V. Chawla (University of Notre Dame)

Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications (Page 804)
Zhe Jiang (University of Alabama)
Arpan Man Sainju (University of Alabama)

Hidden POI Ranking with Spatial Crowdsourcing (Page 814)
Yue Cui (University of Electronic Science and Technology of China)
Liwei Deng (University of Electronic Science and Technology of China)
Yan Zhao (Soochow University)
Bin Yao (Shanghai Jiao Tong University)
Vincent W. Zheng (WeBank)
Kai Zheng (University of Electronic Science and Technology of China)

Hierarchical Gating Networks for Sequential Recommendation (Page 825)
Chen Ma (McGill University)
Peng Kang (Northwestern University)
Xue Liu (McGill University)

Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction (Page 834)
Hongliang Fei (Baidu Research)
Shulong Tan (Baidu Research)
Ping Li (Baidu Research)

Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts (Page 843)
Kishlay Jha (University of Virginia)
Guangxu Xun (University of Virginia)
Yaqing Wang (State University of New York at Buffalo)
Aidong Zhang (University of Virginia)

Identifiability of Cause and Effect using Regularized Regression (Page 852)
Alexander Marx (Max Planck Institute for Informatics)
Jilles Vreeken (CISPA Helmholtz Center for Information Security)

Improving the Quality of Explanations with Local Embedding Perturbations (Page 875)
Yunzhe Jia (University of Melbourne)
James Bailey (University of Melbourne)
Kotagiri Ramamohanarao (University of Melbourne)
Christopher Leckie (University of Melbourne)
Michael E. Houle (National Institute of Informatics)

Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis (Page 885)
Weiyu Cheng (Shanghai Jiao Tong University)
Yanyan Shen (Shanghai Jiao Tong University)
Linpeng Huang (Shanghai Jiao Tong University)
Yanmin Zhu (Shanghai Jiao Tong University)

Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding (Page 894)
Zhige Li (Shanghai Jiao Tong University)
Derek Yang (Tsinghua University)
Li Zhao (Microsoft)
Jiang Bian (Microsoft)
Tao Qin (Microsoft)
Tie-Yan Liu (Microsoft)

Interpretable and Steerable Sequence Learning via Prototypes (Page 903)
Yao Ming (Hong Kong University of Science and Technology)
Panpan Xu (Bosch Research North America)
Huamin Qu (Hong Kong University of Science and Technology)
Liu Ren (Bosch Research North America)

Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories (Page 914)
Rui Yan (Peking University)
Ran Le (Peking University)
Yang Song (Boss Zhipin NLP Center)
Tao Zhang (Boss Zhipin)
Xiangliang Zhang (King Abdullah University of Science and Technology)
Dongyan Zhao (Peking University)

Investigating Cognitive Effects in Session-level Search User Satisfaction (Page 923)
Mengyang Liu (Tsinghua University)
Jiaxin Mao (Tsinghua University)
Yiqun Liu (Tsinghua University)
Min Zhang (Tsinghua University)
Shaoping Ma (Tsinghua University)

Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding (Page 932)
Ninghao Liu (Texas A&M University)
Qiaoyu Tan (Texas A&M University)
Yuening Li (Texas A&M University)
Hongxia Yang (Alibaba Group)
Jingren Zhou (Alibaba Group)
Xia Hu (Texas A&M University)

Isolation Set-Kernel and Its Application to Multi-Instance Learning (Page 941)
Bi-Cun Xu (Nanjing University)
Kai Ming Ting (Federation University, Australia)
Zhi-Hua Zhou (Nanjing University)

KGAT: Knowledge Graph Attention Network for Recommendation (Page 950)
Xiang Wang (National University of Singapore)
Xiangnan He (University of Science and Technology of China)
Yixin Cao (National University of Singapore)
Meng Liu (Shandong University)
Tat-Seng Chua (National University of Singapore)

K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters (Page 959)
Feiping Nie (School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University)
Cheng-Long Wang (School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University)
Xuelong Li (School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University)

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (Page 968)
Hongwei Wang (Stanford University)
Fuzheng Zhang (Meituan-Dianping Group)
Mengdi Zhang (Meituan-Dianping Group)
Jure Leskovec (Stanford University)
Miao Zhao (Hong Kong Polytechnic University)
Wenjie Li (Hong Kong Polytechnic University)
Zhongyuan Wang (Meituan-Dianping Group)

?Opt: Learn to Regularize Recommender Models in Finer Levels (Page 978)
Yihong Chen (Tsinghua University & Microsoft Research)
Bei Chen (Microsoft Research)
Xiangnan He (University of Science and Technology of China)
Chen Gao (Tsinghua University)
Yong Li (Tsinghua University)
Jian-Guang Lou (Microsoft Research)
Yue Wang (Tsinghua University)

Latent Network Summarization: Bridging Network Embedding and Summarization (Page 987)
Di Jin (University of Michigan)
Ryan A. Rossi (Adobe Research)
Eunyee Koh (Adobe Research)
Sungchul Kim (Adobe Research)
Anup Rao (Adobe Research)
Danai Koutra (University of Michigan)

Learning Class-Conditional GANs with Active Sampling (Page 998)
Ming-Kun Xie (Nanjing University of Aeronautics and Astronautics)
Sheng-Jun Huang (Nanjing University of Aeronautics and Astronautics)

Learning Dynamic Context Graphs for Predicting Social Events (Page 1007)
Songgaojun Deng (Stevens Institute of Technology)
Huzefa Rangwala (George Mason University)
Yue Ning (Stevens Institute of Technology)

Learning from Incomplete and Inaccurate Supervision (Page 1017)
Zhen-Yu Zhang (Nanjing University)
Peng Zhao (Nanjing University)
Yuan Jiang (Nanjing University)
Zhi-Hua Zhou (Nanjing University)

Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining (Page 1026)
Tomoki Yoshida (Nagoya Institute of Technology)
Ichiro Takeuchi (Nagoya Institute of Technology & National Institute for Material Science & RIKEN Center for Advanced Intelligence Project)
Masayuki Karasuyama (Nagoya Institute of Technology & National Institute for Material Science & Japan Science and Technology Agency)

Learning Network-to-Network Model for Content-rich Network Embedding (Page 1037)
Zhicheng He (Nankai University)
Jie Liu (Nankai University)
Na Li (Nankai University)
Yalou Huang (Nankai University)

Link Prediction with Signed Latent Factors in Signed Social Networks (Page 1046)
Pinghua Xu (Wuhan University & Macquarie University)
Wenbin Hu (Wuhan University & Shenzhen Research Institute, Wuhan University)
Jia Wu (Macquarie University)
Bo Du (Wuhan University)

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit (Page 1055)
Zhiqiang Tao (Northeastern University)
Sheng Li (University of Georgia)
Zhaowen Wang (Adobe Research)
Chen Fang (ByteDance AI Lab)
Longqi Yang (Cornell University)
Handong Zhao (Adobe Research)
Yun Fu (Northeastern University)

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network (Page 1064)
Hao Wang (University of Science and Technology of China)
Tong Xu (University of Science and Technology of China)
Qi Liu (University of Science and Technology of China)
Defu Lian (University of Science and Technology of China)
Enhong Chen (University of Science and Technology of China)
Dongfang Du (Tencent Inc)
Han Wu (University of Science and Technology of China)
Wen Su (Tencent Inc)

MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation (Page 1073)
Hoyeop Lee (NCSOFT Co.)
Jinbae Im (NCSOFT Co.)
Seongwon Jang (NCSOFT Co.)
Hyunsouk Cho (NCSOFT Co.)
Sehee Chung (NCSOFT Co.)

Mining Algorithm Roadmap in Scientific Publications (Page 1083)
Hanwen Zha (University of California, Santa Barbara)
Wenhu Chen (University of California, Santa Barbara)
Keqian Li (University of California, Santa Barbara)
Xifeng Yan (University of California, Santa Barbara)

MinJoin: Efficient Edit Similarity Joins via Local Hash Minima (Page 1093)
Haoyu Zhang (Indiana University Bloomington)
Qin Zhang (Indiana University Bloomington)

Modeling Dwell Time Engagement on Visual Multimedia (Page 1104)
Hemank Lamba (Carnegie Mellon University)
Neil Shah (Snap Inc.)

Modeling Extreme Events in Time Series Prediction (Page 1114)
Daizong Ding (Fudan University)
Mi Zhang (Fudan University)
Xudong Pan (Fudan University)
Min Yang (Fudan University)
Xiangnan He (University of Science and Technology of China)

Multiple Relational Attention Network for Multi-task Learning (Page 1123)
Jiejie Zhao (Beihang University)
Bowen Du (Beihang University)
Leilei Sun (Beihang University)
Fuzhen Zhuang (University of Chinese Academy of Sciences)
Weifeng Lv (Beihang University)
Hui Xiong (Rutgers University)

Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings (Page 1132)
Ahmed Rashed (University of Hildesheim)
Josif Grabocka (University of Hildesheim)
Lars Schmidt-Thieme (University of Hildesheim)

Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification (Page 1141)
Chang Li (UBTECH Sydney AI Centre, SCS, University of Sydney & Capital Markets CRC, Australia)
Dongjin Song (NEC Laboratories America, Inc.)
Dacheng Tao (UBTECH Sydney AI Centre, SCS, University of Sydney)

Network Density of States (Page 1152)
Kun Dong (Cornell University)
Austin R. Benson (Cornell University)
David Bindel (Cornell University)

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching (Page 1162)
Dingqi Yang (University of Fribourg)
Paolo Rosso (University of Fribourg)
Bin Li (Fudan University)
Philippe Cudre-Mauroux (University of Fribourg)

OBOE: Collaborative Filtering for AutoML Model Selection (Page 1173)
Chengrun Yang (Cornell University)
Yuji Akimoto (Cornell University)
Dae Won Kim (Cornell University)
Madeleine Udell (Cornell University)

Off-policy Learning for Multiple Loggers (Page 1184)
Li He (JD.com)
Long Xia (JD.com)
Wei Zeng (Institute of Computing Technology, CAS)
Zhi-Ming Ma (Academy of Mathematics and Systems Science, CAS)
Yihong Zhao (JD.com)
Dawei Yin (JD.com)

On Dynamic Network Models and Application to Causal Impact (Page 1194)
Yu-Chia Chen (University of Washington)
Avleen S. Bijral (Microsoft)
Juan Lavista Ferres (Microsoft)

Optimizing Impression Counts for Outdoor Advertising (Page 1205)
Yipeng Zhang (RMIT University)
Yuchen Li (Singapore Management University)
Zhifeng Bao (RMIT University)
Songsong Mo (Wuhan Univeristy & RMIT University)
Ping Zhang (Huawei)

Optimizing Peer Learning in Online Groups with Affinities (Page 1216)
Mohammadreza Esfandiari (New Jersey Institute of Technology)
Dong Wei (New Jersey Institute of Technology)
Sihem Amer-Yahia (University Grenoble Alpes, CNRS)
Senjuti Basu Roy (New Jersey Institute of Technology)

Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling (Page 1227)
Yuandong Wang (Beihang University)
Hongzhi Yin (The University of Queensland)
Hongxu Chen (University of Queensland)
Tianyu Wo (Beihang University)
Jie Xu (University of Leeds)
Kai Zheng (University of Electronic Science and Technology)

Pairwise Comparisons with Flexible Time-Dynamics (Page 1236)
Lucas Maystre (Spotify)
Victor Kristof (École Polytechnique Fédérale de Lausanne)
Matthias Grossglauser (École Polytechnique Fédérale de Lausanne)

Paper Matching with Local Fairness Constraints (Page 1247)
Ari Kobren (University of Massachusetts, Amherst)
Barna Saha (University of Massachusetts, Amherst)
Andrew McCallum (University of Massachusetts, Amherst)

PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data (Page 1258)
Sanjoy Dey (IBM T. J. Watson Research Center)
Ping Zhang (Ohio State University)
Daby Sow (IBM T. J. Watson Research Center)
Kenney Ng (IBM T. J. Watson Research Center)

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks (Page 1269)
Srijan Kumar (Stanford University & Georgia Institute of Technology)
Xikun Zhang (University of Illinois)
Jure Leskovec (Stanford University)

Predicting Path Failure In Time-Evolving Graphs (Page 1279)
Jia Li (The Chinese University of Hong Kong)
Zhichao Han (The Chinese University of Hong Kong)
Hong Cheng (The Chinese University of Hong Kong)
Jiao Su (The Chinese University of Hong Kong)
Pengyun Wang (Noah's Ark Lab, Huawei Technologies)
Jianfeng Zhang (Noah's Ark Lab, Huawei Technologies)
Lujia Pan (Noah's Ark Lab, Huawei Technologies)

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network (Page 1290)
Hua Wei (Pennsylvania State University)
Chacha Chen (Shanghai Jiao Tong University)
Guanjie Zheng (Pennsylvania State University)
Kan Wu (Pennsylvania State University)
Vikash Gayah (Pennsylvania State University)
Kai Xu (Shanghai Tianrang Intelligent Technology Co., Ltd)
Zhenhui Li (Pennsylvania State University)

PrivPy: General and Scalable Privacy-Preserving Data Mining (Page 1299)
Yi Li (Tsinghua University)
Wei Xu (Tsinghua University)

ProGAN: Network Embedding via Proximity Generative Adversarial Network (Page 1308)
Hongchang Gao (University of Pittsburgh)
Jian Pei (Simon Fraser University)
Heng Huang (University of Pittsburgh)

Quantifying Long Range Dependence in Language and User Behavior to improve RNNs (Page 1317)
Francois Belletti (Google Research)
Minmin Chen (Google Research)
Ed H. Chi (Google Research)

QuesNet: A Unified Representation for Heterogeneous Test Questions (Page 1328)
Yu Yin (University of Science and Technology of China)
Qi Liu (University of Science and Technology of China)
Zhenya Huang (University of Science and Technology of China)
Enhong Chen (University of Science and Technology of China)
Wei Tong (University of Science and Technology of China)
Shijin Wang (iFLYTEK CO., LTD. & State Key Laboratory of Cognitive Intelligence)
Yu Su (iFLYTEK CO., LTD. & State Key Laboratory of Cognitive Intelligence)

Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions (Page 1337)
Souhaib Ben Taieb (University of Mons & Monash University)
Bonsoo Koo (Monash University)

Relation Extraction via Domain-aware Transfer Learning (Page 1348)
Shimin Di (The Hong Kong University of Science and Technology)
Yanyan Shen (Shanghai Jiao Tong University)
Lei Chen (The Hong Kong University of Science and Technology)

Representation Learning for Attributed Multiplex Heterogeneous Network (Page 1358)
Yukuo Cen (Tsinghua University)
Xu Zou (Tsinghua University)
Jianwei Zhang (Alibaba Group)
Hongxia Yang (Alibaba Group)
Jingren Zhou (Alibaba Group)
Jie Tang (Tsinghua University)

Retaining Privileged Information for Multi-Task Learning (Page 1369)
Fengyi Tang (Michigan State University)
Cao Xiao (IQVIA)
Fei Wang (Weill Cornell Medical College)
Jiayu Zhou (Michigan State University)
Li-wei H. Lehman (Massachusetts Institute of Technology)

Revisiting kd-tree for Nearest Neighbor Search (Page 1378)
Parikshit Ram (IBM Research AI)
Kaushik Sinha (Wichita State University)

Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering (Page 1389)
Jie Zhao (The Ohio State University)
Ziyu Guan (Xidian University)
Huan Sun (The Ohio State University)

Robust Graph Convolutional Networks Against Adversarial Attacks (Page 1399)
Dingyuan Zhu (Tsinghua University)
Ziwei Zhang (Tsinghua University)
Peng Cui (Tsinghua University)
Wenwu Zhu (Tsinghua University)

Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning (Page 1408)
Yaqiang Yao (University of Science and Technology of China)
Jie Cao (Nanjing University of Finance and Economics)
Huanhuan Chen (University of Science and Technology of China)

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding (Page 1418)
Lingfei Wu (IBM Research)
Ian En-Hsu Yen (Carnegie Mellon University)
Zhen Zhang (Washington University in St. Louis)
Kun Xu (IBM Research)
Liang Zhao (George Mason University)
Xi Peng (University of Delaware)
Yinglong Xia (Huawei)
Charu Aggarwal (IBM Research)

Scalable Graph Embeddings via Sparse Transpose Proximities (Page 1429)
Yuan Yin (Renmin University of China)
Zhewei Wei (Renmin University of China)

Scalable Hierarchical Clustering with Tree Grafting (Page 1438)
Nicholas Monath (University of Massachusetts, Amherst)
Ari Kobren (University of Massachusetts, Amherst)
Akshay Krishnamurthy (Microsoft Research)
Michael R. Glass (IBM)
Andrew McCallum (University of Massachusetts, Amherst)

Scaling Multi-Armed Bandit Algorithms (Page 1449)
Edouard Fouché (Karlsruhe Institute of Technology)
Junpei Komiyama (University of Tokyo)
Klemens Böhm (Karlsruhe Institute of Technology)

Scaling Multinomial Logistic Regression via Hybrid Parallelism (Page 1460)
Parameswaran Raman (University of California Santa Cruz)
Sriram Srinivasan (University of California Santa Cruz)
Shin Matsushima (University of Tokyo)
Xinhua Zhang (University of Illinios Chicago)
Hyokun Yun (Amazon)
S.V.N. Vishwanathan (Amazon)

Separated Trust Regions Policy Optimization Method (Page 1471)
Luobao Zou (Shanghai Jiao Tong University)
Zhiwei Zhuang (Shanghai Jiao Tong University)
Yin Cheng (Shanghai Jiao Tong University)
Xuechun Wang (Shanghai Jiao Tong University)
Weidong Zhang (Shanghai Jiao Tong University)

Sequential Anomaly Detection using Inverse Reinforcement Learning (Page 1480)
Min-hwan Oh (Columbia University)
Garud Iyengar (Columbia University)

Sets2Sets: Learning from Sequential Sets with Neural Networks (Page 1491)
Haoji Hu (University of Minnesota, Twin Cities)
Xiangnan He (University of Science and Technology of China)

Sherlock: A Deep Learning Approach to Semantic Data Type Detection (Page 1500)
Madelon Hulsebos (Massachusetts Institute of Technology)
Kevin Hu (Massachusetts Institute of Technology)
Michiel Bakker (Massachusetts Institute of Technology)
Emanuel Zgraggen (Massachusetts Institute of Technology)
Arvind Satyanarayan (Massachusetts Institute of Technology)
Tim Kraska (Massachusetts Institute of Technology)
Çagatay Demiralp (Megagon Labs)
César Hidalgo (Massachusetts Institute of Technology)

Significance of Patterns in Data Visualisations (Page 1509)
Rafael Savvides (University of Helsinki)
Andreas Henelius (University of Helsinki)
Emilia Oikarinen (University of Helsinki)
Kai Puolamäki (University of Helsinki)

Social Recommendation with Optimal Limited Attention (Page 1518)
Xin Wang (Tsinghua University)
Wenwu Zhu (Tsinghua University)
Chenghao Liu (Singapore Management University)

SPuManTE: Significant Pattern Mining with Unconditional Testing (Page 1528)
Leonardo Pellegrina (Università di Padova)
Matteo Riondato (Amherst College)
Fabio Vandin (Università di Padova)

Stability and Generalization of Graph Convolutional Neural Networks (Page 1539)
Saurabh Verma (University of Minnesota Twin Cities)
Zhi-Li Zhang (University of Minnesota Twin Cities)

State-Sharing Sparse Hidden Markov Models for Personalized Sequences (Page 1549)
Hongzhi Shi (Tsinghua University)
Chao Zhang (Georgia Institute of Technology)
Quanming Yao (4Paradigm Inc.)
Yong Li (Tsinghua University)
Funing Sun (Tencent Inc.)
Depeng Jin (Tsinghua University)

Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units (Page 1560)
Prathamesh Deshpande (IIT Bombay)
Sunita Sarawagi (IIT Bombay)

Streaming Session-based Recommendation (Page 1569)
Lei Guo (Shandong Normal University)
Hongzhi Yin (The University of Queensland)
Qinyong Wang (The University of Queensland)
Tong Chen (The University of Queensland)
Alexander Zhou (The University of Queensland)
Nguyen Quoc Viet Hung (Griffith University)

SurfCon: Synonym Discovery on Privacy-Aware Clinical Data (Page 1578)
Zhen Wang (The Ohio State University)
Xiang Yue (The Ohio State University)
Soheil Moosavinasab (Abigail Wexner Research Institute at Nationwide Children’s Hospital)
Yungui Huang (Abigail Wexner Research Institute at Nationwide Children’s Hospital)
Simon Lin (Abigail Wexner Research Institute at Nationwide Children’s Hospital)
Huan Sun (The Ohio State University)

Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning (Page 1587)
Shuyang Yu (Northeastern University)
Bin Gu (JD Finance America Corporation)
Kunpeng Ning (Nanjing University of Aeronautics and Astronautics)
Haiyan Chen (Nanjing University of Aeronautics and Astronautics)
Jian Pei (Simon Fraser University)
Heng Huang (University of Pittsburgh)

Task-Adversarial Co-Generative Nets (Page 1596)
Pei Yang (Arizona State University & South China University of Technology)
Qi Tan (South China Normal University)
Hanghang Tong (Arizona State University)
Jingrui He (Arizona State University)

Tensorized Determinantal Point Processes for Recommendation (Page 1605)
Romain Warlop (fifty-five)
Jérémie Mary (Criteo AI Lab)
Mike Gartrell (Criteo AI Lab)

Testing Dynamic Incentive Compatibility in Display Ad Auctions (Page 1616)
Yuan Deng (Duke University)
Sébastien Lahaie (Google Research)

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach (Page 1625)
Ying Sun (Institute of Computing Technology, CAS, Baidu Talent Intelligence Center, Baidu Inc., University of Chinese Academy of Sciences)
Fuzhen Zhuang (Institute of Computing Technology, CAS & University of Chinese Academy of Sciences)
Hengshu Zhu (Baidu Talent Intelligence Center, Baidu Inc.)
Xin Song (Baidu Talent Intelligence Center, Baidu Inc.)
Qing He (Institute of Computing Technology, CAS & University of Chinese Academy of Sciences)
Hui Xiong (Baidu Talent Intelligence Center, Baidu Inc. & Business Intelligence Lab, Baidu Research)

The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model (Page 1634)
Tianwen Jiang (University of Notre Dame & Harbin Institute of Technology)
Tong Zhao (University of Notre Dame)
Bing Qin (Harbin Institute of Technology)
Ting Liu (Harbin Institute of Technology)
Nitesh V. Chawla (University of Notre Dame)
Meng Jiang (University of Notre Dame)

Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms (Page 1643)
Boyang Li (Northeastern University)
Yurong Cheng (Beijing Institute of Technology)
Ye Yuan (Northeastern University)
Guoren Wang (Beijing Institute of Technology)
Lei Chen (The Hong Kong University of Science and Technology)

Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios (Page 1654)
Stefano Giovanni Rizzo (Qatar Computing Research Institute)
Giovanna Vantini (Qatar Computing Research Institute)
Sanjay Chawla (Qatar Computing Research Institute)

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? (Page 1665)
Xiaowei Jia (University of Minnesota & Adobe Research)
Sheng Li (University of Georgia)
Handong Zhao (Adobe Research)
Sungchul Kim (Adobe Research)
Vipin Kumar (University of Minnesota)

Training and Meta-Training Binary Neural Networks with Quantum Computing (Page 1674)
Abdulah Fawaz (Siemens Healthineers)
Paul Klein (Siemens Healthineers)
Sebastien Piat (Siemens Healthineers)
Simone Severini (University College London)
Peter Mountney (Siemens Healthineers)

TUBE: Embedding Behavior Outcomes for Predicting Success (Page 1682)
Daheng Wang (University of Notre Dame)
Tianwen Jiang (University of Notre Dame & Harbin Institute of Technology)
Nitesh V. Chawla (University of Notre Dame)
Meng Jiang (University of Notre Dame)

Uncovering Pattern Formation of Information Flow (Page 1691)
Chengxi Zang (Tsinghua University & Weill Cornell Medicine)
Peng Cui (Tsinghua University)
Chaoming Song (University of Miami)
Wenwu Zhu (Tsinghua University)
Fei Wang (Weill Cornell Medicine)

Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning (Page 1700)
Yunchao Zhang (Missouri University of Science and Technology)
Yanjie Fu (Missouri University of Science and Technology)
Pengyang Wang (Missouri University of Science and Technology)
Xiaolin Li (Nanjing University)
Yu Zheng (JD Intelligent Cities Research, JD Intelligent Cities Business Unit & Xidian University)

Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts (Page 1709)
Junheng Hao (University of California Los Angeles)
Muhao Chen (University of California Los Angeles)
Wenchao Yu (University of California Los Angeles)
Yizhou Sun (University of California Los Angeles)
Wei Wang (University of California Los Angeles)

Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning (Page 1720)
Zheyi Pan (Shanghai Jiaotong University)
Yuxuan Liang (Xidian University)
Weifeng Wang (Shanghai Jiaotong University)
Yong Yu (Shanghai Jiaotong University)
Yu Zheng (JD Intelligent Cities Research, JD Intelligent Cities Business Unit & Xidian University)
Junbo Zhang (JD Intelligent Cities Research, JD Intelligent Cities Business Unit & Southwest Jiaotong University)

Applied Data Science Track Papers

150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com (Page 1743)
Lucas Bernardi (Booking.com)
Themistoklis Mavridis (Booking.com)
Pablo Estevez (Booking.com)

A Collaborative Learning Framework to Tag Refinement for Points of Interest (Page 1752)
Jingbo Zhou (Baidu Research & National Engineering Laboratory of Deep Learning Technology and Application)
Shan Gou (Baidu Research & University of Electronic Science and Technology of China)
Renjun Hu (Business Intelligence Lab, Baidu Research)
Dongxiang Zhang (Zhejiang University)
Jin Xu (Baidu Research)
Airong Jiang (Baidu Research & National Engineering Laboratory of Deep Learning Technology and Application)
Ying Li (Baidu Inc.)
Hui Xiong (Baidu Research, National Engineering Laboratory of Deep Learning Technology and Application, & Rutgers University)

A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry (Page 1762)
Lei Chen (Huawei Noah's Ark Lab)
Xialiang Tong (Huawei Noah's Ark Lab)
Mingxuan Yuan (Huawei Noah's Ark Lab)
Jia Zeng (Huawei Noah's Ark Lab)
Lei Chen (Hong Kong University of Science and Technology)

A Deep Generative Approach to Search Extrapolation and Recommendation (Page 1771)
Fred X. Han (University of Alberta)
Di Niu (University of Alberta)
Haolan Chen (Tencent)
Kunfeng Lai (Tencent)
Yancheng He (Tencent)
Yu Xu (Tencent)

A Deep Value-network Based Approach for Multi-Driver Order Dispatching (Page 1780)
Xiaocheng Tang (AI Labs, Didi Chuxing)
Zhiwei (Tony) Qin (AI Labs, Didi Chuxing)
Fan Zhang (AI Labs, Didi Chuxing)
Zhaodong Wang (Washington State University)
Zhe Xu (Didi Chuxing)
Yintai Ma (Northwestern University)
Hongtu Zhu (AI Labs, Didi Chuxing)
Jieping Ye (AI Labs, Didi Chuxing)

A Generalized Framework for Population Based Training (Page 1791)
Ang Li (DeepMind)
Ola Spyra (DeepMind)
Sagi Perel (Google Brain)
Valentin Dalibard (DeepMind)
Max Jaderberg (DeepMind)
Chenjie Gu (DeepMind)
David Budden (DeepMind)
Tim Harley (DeepMind)
Pramod Gupta (DeepMind)

A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR (Page 1800)
Prithwish Chakraborty (IBM)
Faisal Farooq (IBM)

A Severity Score for Retinopathy of Prematurity (Page 1809)
Peng Tian (Northeastern University)
Yuan Guo (Northeastern University)
Jayashree Kalpathy-Cramer (Massachusetts General Hospital)
Susan Ostmo (Oregon Health & Science University)
John Peter Campbell (Oregon Health & Science University)
Michael F. Chiang (Oregon Health & Science University)
Jennifer Dy (Northeastern University)
Deniz Erdogmus (Northeastern University)
Stratis Ioannidis (Northeastern University)

A Unified Framework for Marketing Budget Allocation (Page 1820)
Kui Zhao (Alibaba Group)
Junhao Hua (Alibaba Group)
Ling Yan (Alibaba Group)
Qi Zhang (Alibaba Group)
Huan Xu (Alibaba Group)
Cheng Yang (Alibaba Group)

A User-Centered Concept Mining System for Query and Document Understanding at Tencent (Page 1831)
Bang Liu (University of Alberta)
Weidong Guo (Platform and Content Group, Tencent)
Di Niu (University of Alberta)
Chaoyue Wang (Platform and Content Group, Tencent)
Shunnan Xu (Platform and Content Group, Tencent)
Jinghong Lin (Platform and Content Group, Tencent)
Kunfeng Lai (Platform and Content Group, Tencent)
Yu Xu (Platform and Content Group, Tencent)

AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018 (Page 1842)
Zhipeng Luo (DeepBlue Technology)
Jianqiang Huang (Peking University)
Ke Hu (Alibaba Group)
Xue Li (Microsoft)
Peng Zhang (Tianjin University)

Actions Speak Louder than Goals: Valuing Player Actions in Soccer (Page 1851)
Tom Decroos (KU Leuven)
Lotte Bransen (SciSports)
Jan Van Haaren (SciSports)
Jesse Davis (KU Leuven)

Active Deep Learning for Activity Recognition with Context Aware Annotator Selection (Page 1862)
H M Sajjad Hossain (University of Maryland Baltimore County)
Nirmalya Roy (University of Maryland Baltimore County)

Adversarial Matching of Dark Net Market Vendor Accounts (Page 1871)
Xiao Hui Tai (Carnegie Mellon University)
Kyle Soska (Carnegie Mellon University)
Nicolas Christin (Carnegie Mellon University)

AiAds: Automated and Intelligent Advertising System for Sponsored Search (Page 1881)
Xiao Yang (Baidu, Inc.)
Daren Sun (Baidu, Inc.)
Ruiwei Zhu (Baidu, Inc.)
Tao Deng (Baidu, Inc.)
Zhi Guo (Baidu, Inc.)
Zongyao Ding (Baidu, Inc.)
Shouke Qin (Baidu, Inc.)
Yanfeng Zhu (Baidu, Inc.)

AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation (Page 1891)
Xiaoli Tang (South China University of Technology)
Tengyun Wang (South China University of Technology)
Haizhi Yang (South China University of Technology)
Hengjie Song (South China University of Technology)

AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks (Page 1900)
Jingyuan Wang (Beihang University)
Yang Zhang (Beihang University)
Ke Tang (Tsinghua University)
Junjie Wu (Beihang University)
Zhang Xiong (Beihang University)

Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning (Page 1909)
Yichen Shen (Samsung Strategy and Innovation Center)
Maxime Voisin (Stanford University)
Alireza Aliamiri (Samsung Strategy and Innovation Center)
Anand Avati (Stanford University)
Awni Hannun (Stanford University)
Andrew Ng (Stanford University)

Anomaly Detection for an E-commerce Pricing System (Page 1917)
Jagdish Ramakrishnan (Walmart Labs)
Elham Shaabani (Walmart Labs)
Chao Li (Walmart Labs)
Mátyás A. Sustik (Walmart Labs)

Applying Deep Learning to Airbnb Search (Page 1927)
Malay Haldar (Airbnb Inc.)
Mustafa Abdool (Airbnb Inc.)
Prashant Ramanathan (Airbnb Inc.)
Tao Xu (Airbnb Inc.)
Shulin Yang (Airbnb Inc.)
Huizhong Duan (Airbnb Inc.)
Qing Zhang (Airbnb Inc.)
Nick Barrow-Williams (Airbnb Inc.)
Bradley C. Turnbull (Airbnb Inc.)
Brendan M. Collins (Airbnb Inc.)
Thomas Legrand (Airbnb Inc.)

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications (Page 1936)
Yuanfei Luo (4Paradigm Inc.)
Mengshuo Wang (4Paradigm Inc.)
Hao Zhou (4Paradigm Inc.)
Quanming Yao (4Paradigm Inc.)
Wei-Wei Tu (4Paradigm Inc.)
Yuqiang Chen (4Paradigm Inc.)
Wenyuan Dai (4Paradigm Inc.)
Qiang Yang (Hong Kong University of Science and Technology)

Auto-Keras: An Efficient Neural Architecture Search System (Page 1946)
Haifeng Jin (Texas A&M University)
Qingquan Song (Texas A&M University)
Xia Hu (Texas A&M University)

Automatic Dialogue Summary Generation for Customer Service (Page 1957)
Chunyi Liu (AI Labs, Didi Chuxing)
Peng Wang (AI Labs, Didi Chuxing)
Jiang Xu (AI Labs, Didi Chuxing)
Zang Li (AI Labs, Didi Chuxing)
Jieping Ye (AI Labs, Didi Chuxing)

Bid Optimization by Multivariable Control in Display Advertising (Page 1966)
Xun Yang (Alibaba Group)
Yasong Li (Alibaba Group)
Hao Wang (Alibaba Group)
Di Wu (Alibaba Group)
Qing Tan (Alibaba Group)
Jian Xu (Alibaba Group)
Kun Gai (Alibaba Group)

Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration (Page 1975)
Lisa Singh (Georgetown University)
Laila Wahedi (Georgetown University)
Yanchen Wang (Georgetown University)
Yifang Wei (Georgetown University)
Christo Kirov (Georgetown University)
Susan Martin (Georgetown University)
Katharine Donato (Georgetown University)
Yaguang Liu (Georgetown University)
Kornraphop Kawintiranon (Georgetown University)

Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior (Page 1984)
Long Guo (Alibaba Inc.)
Lifeng Hua (Alibaba Inc.)
Rongfei Jia (Alibaba Inc.)
Binqiang Zhao (Alibaba Inc.)
Xiaobo Wang (Alibaba Inc.)
Bin Cui (Peking University)

Carousel Ads Optimization in Yahoo Gemini Native (Page 1993)
Michal Aharon (Yahoo Research)
Oren Somekh (Yahoo Research)
Avi Shahar (Tech Yahoo)
Assaf Singer (Tech Yahoo)
Baruch Trayvas (Tech Yahoo)
Hadas Vogel (Tech Yahoo)
Dobri Dobrev (Tech Yahoo)

Chainer: A Deep Learning Framework for Accelerating the Research Cycle (Page 2002)
Seiya Tokui (Preferred Networks, Inc.)
Ryosuke Okuta (Preferred Networks, Inc.)
Takuya Akiba (Preferred Networks, Inc.)
Yusuke Niitani (Preferred Networks, Inc.)
Toru Ogawa (Preferred Networks, Inc.)
Shunta Saito (Preferred Networks, Inc.)
Shuji Suzuki (Preferred Networks, Inc.)
Kota Uenishi (Preferred Networks, Inc.)
Brian Vogel (Preferred Networks, Inc.)
Hiroyuki Yamazaki Vincent (Preferred Networks, Inc.)

Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study (Page 2012)
Zenghua Xia (Tsinghua University)
Chang Liu (Citadel Securities)
Neil Zhenqiang Gong (Duke University)
Qi Li (Tsinghua University)
Yong Cui (Tsinghua University)
Dawn Song (University of California, Berkeley)

Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat (Page 2023)
Yozen Liu (University of Southern California)
Xiaolin Shi (Snap Inc.)
Lucas Pierce (Snap Inc.)
Xiang Ren (University of Southern California)

Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search (Page 2032)
Pan Li (University of Illinois at Urbana - Champaign & Google Inc.)
Zhen Qin (Google Inc.)
Xuanhui Wang (Google Inc.)
Donald Metzler (Google Inc.)

Community Detection on Large Complex Attribute Network (Page 2041)
Chen Zhe (Innovation Lab, PayPal)
Aixin Sun (Nanyang Technological University)
Xiaokui Xiao (National University of Singapore)

Constructing High Precision Knowledge Bases with Subjective and Factual Attributes (Page 2050)
Ari Kobren (University of Massachusetts, Amherst)
Pablo Barrio (Google Inc.)
Oksana Yakhnenko (Google Inc.)
Johann Hibschman (Google Inc.)
Ian Langmore (Google Inc.)

Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy (Page 2059)
Jan-Philipp Schulze (BMW Group & Fraunhofer AISEC)
Artur Mrowca (BMW Group)
Elizabeth Ren (ETH Zürich)
Hans-Andrea Loeliger (ETH Zürich)
Konstantin Böttinger (Fraunhofer AISEC)

Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives (Page 2069)
Shunsuke Kitada (Hosei University)
Hitoshi Iyatomi (Hosei University)
Yoshifumi Seki (Gunosy Inc.)

Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction (Page 2078)
Wentao Ouyang (Alibaba Group)
Xiuwu Zhang (Alibaba Group)
Li Li (Alibaba Group)
Heng Zou (Alibaba Group)
Xin Xing (Alibaba Group)
Zhaojie Liu (Alibaba Group)
Yanlong Du (Alibaba Group)

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting (Page 2087)
Bin Wang (University of Technology Sydney & Southwest Jiaotong University)
Jie Lu (University of Technology Sydney)
Zheng Yan (University of Technology Sydney)
Huaishao Luo (Southwest Jiaotong University)
Tianrui Li (Southwest Jiaotong University)
Yu Zheng (Xidian University & JD Intelligent Cities Research)
Guangquan Zhang (University of Technology Sydney)

DeepHoops: Evaluating Micro-Actions in Basketball Using Deep Feature Representations of Spatio-Temporal Data (Page 2096)
Anthony Sicilia (University of Pittsburgh)
Konstantinos Pelechrinis (University of Pittsburgh)
Kirk Goldsberry (University of Texas, Austin)

DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery (Page 2105)
Stephen Lee (University of Massachusetts, Amherst)
Srinivasan Iyengar (Microsoft Research, Bangalore)
Menghong Feng (University of Massachusetts, Amherst)
Prashant Shenoy (University of Massachusetts, Amherst)
Subhransu Maji (University of Massachusetts, Amherst)

DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events (Page 2114)
Renhe Jiang (The University of Tokyo & National Institute of Advanced Industrial Science and Technology)
Xuan Song (The University of Tokyo & National Institute of Advanced Industrial Science and Technology)
Dou Huang (The University of Tokyo)
Xiaoya Song (The University of Tokyo & Harbin Institute of Technology)
Tianqi Xia (The University of Tokyo & National Institute of Advanced Industrial Science and Technology)
Zekun Cai (The University of Tokyo)
Zhaonan Wang (National Institute of Advanced Industrial Science and Technology)
Kyoung-Sook Kim (National Institute of Advanced Industrial Science and Technology)
Ryosuke Shibasaki (The University of Tokyo)

Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA (Page 2123)
Shahroz Tariq (The State University of New York (SUNY Korea))
Sangyup Lee (The State University of New York (SUNY Korea))
Youjin Shin (The State University of New York (SUNY Korea))
Myeong Shin Lee (Korea Aerospace Research Institute (KARI))
Okchul Jung (Korea Aerospace Research Institute (KARI))
Daewon Chung (Korea Aerospace Research Institute (KARI))
Simon S. Woo (Sungkyunkwan University)

Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition (Page 2134)
Anil R. Yelundur (Amazon)
Vineet Chaoji (Amazon)
Bamdev Mishra (Microsoft India)

Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams (Page 2145)
Richard Chen (Apple Inc.)
Filip Jankovic (Evidation Health, Inc.)
Nikki Marinsek (Evidation Health, Inc.)
Luca Foschini (Evidation Health, Inc.)
Lampros Kourtis (Evidation Health, Inc.)
Alessio Signorini (Evidation Health, Inc.)
Melissa Pugh (Eli Lilly and Company)
Jie Shen (Eli Lilly and Company)
Roy Yaari (Eli Lilly and Company)
Vera Maljkovic (Eli Lilly and Company)
Marc Sunga (Eli Lilly and Company)
Han Hee Song (Apple Inc.)
Hyun Joon Jung (Apple Inc.)
Belle Tseng (Apple Inc.)
Andrew Trister (Apple Inc.)

Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners (Page 2156)
Aleksander Fabijan (Microsoft Corporation)
Jayant Gupchup (Microsoft Corporation)
Somit Gupta (Microsoft Corporation)
Jeff Omhover (Microsoft Corporation)
Wen Qin (Microsoft Corporation)
Lukas Vermeer (Booking.com)
Pavel Dmitriev (Outreach.io)

DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview (Page 2165)
Chuan Qin (University of Science and Technology of China & Baidu Inc.)
Hengshu Zhu (Baidu Inc.)
Chen Zhu (Baidu Inc.)
Tong Xu (University of Science and Technology of China & Baidu Inc.)
Fuzhen Zhuang (Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, & Baidu Inc.)
Chao Ma (Baidu Inc.)
Jingshuai Zhang (Baidu Inc.)
Hui Xiong (University of Science and Technology of China, Baidu Inc., & Baidu Research)

Dynamic Pricing for Airline Ancillaries with Customer Context (Page 2174)
Naman Shukla (University of Illinois at Urbana-Champaign)
Arinbjörn Kolbeinsson (Imperial College London)
Ken Otwell (Otwell Research)
Lavanya Marla (University of Illinois at Urbana-Champaign)
Kartik Yellepeddi (Deepair Solutions)

E.T.-RNN: Applying Deep Learning to Credit Loan Applications (Page 2183)
Dmitrii Babaev (Sberbank AI Lab)
Maxim Savchenko (Sberbank AI Lab)
Alexander Tuzhilin (New York University)
Dmitrii Umerenkov (Sberbank AI Lab)

Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft (Page 2191)
Kiri L. Wagstaff (California Institute of Technology)
Gary Doran (California Institute of Technology)
Ashley Davies (California Institute of Technology)
Saadat Anwar (Arizona State University)
Srija Chakraborty (Arizona State University)
Marissa Cameron (California Institute of Technology)
Ingrid Daubar (California Institute of Technology)
Cynthia Phillips (California Institute of Technology)

Estimating Cellular Goals from High-Dimensional Biological Data (Page 2202)
Laurence Yang (University of California, San Diego)
Michael A. Saunders (Stanford University)
Jean-Christophe Lachance (Université de Sherbrooke)
Bernhard O. Palsson (University of California, San Diego)
José Bento (Boston College)

Fairness in Recommendation Ranking through Pairwise Comparisons (Page 2212)
Alex Beutel (Google)
Jilin Chen (Google)
Tulsee Doshi (Google)
Hai Qian (Google)
Li Wei (Google)
Yi Wu (Google)
Lukasz Heldt (Google)
Zhe Zhao (Google)
Lichan Hong (Google)
Ed H. Chi (Google)
Cristos Goodrow (Google)

Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (Page 2221)
Sahin Cem Geyik (LinkedIn Corporation)
Stuart Ambler (LinkedIn Corporation)
Krishnaram Kenthapadi (LinkedIn Corporation)

FDML: A Collaborative Machine Learning Framework for Distributed Features (Page 2232)
Yaochen Hu (University of Alberta)
Di Niu (University of Alberta)
Jianming Yang (Tencent)
Shengping Zhou (Tencent)

Feedback Shaping: A Modeling Approach to Nurture Content Creation (Page 2241)
Ye Tu (LinkedIn Corporation)
Chun Lo (LinkedIn Corporation)
Yiping Yuan (LinkedIn Corporation)
Shaunak Chatterjee (LinkedIn Corporation)

Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences (Page 2251)
Stephanie deWet (Pinterest)
Jiafan Ou (Pinterest)

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging (Page 2260)
Doyen Sahoo (Singapore Management University)
Wang Hao (Singapore Management University)
Shu Ke (Singapore Management University)
Wu Xiongwei (Singapore Management University)
Hung Le (Singapore Management University)
Palakorn Achananuparp (Singapore Management University)
Ee-Peng Lim (Singapore Management University)
Steven C. H. Hoi (Singapore Management University & Salesforce Research Asia)

Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning (Page 2269)
J. Weston Hughes (University of California, Berkeley)
Keng-hao Chang (Microsoft)
Ruofei Zhang (Microsoft)

Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression (Page 2278)
Yuhui Zheng (The University of Tokyo)
Linchuan Xu (The University of Tokyo)
Taichi Kiwaki (The University of Tokyo)
Jing Wang (The University of Tokyo)
Hiroshi Murata (The University of Tokyo)
Ryo Asaoka (The University of Tokyo)
Kenji Yamanishi (The University of Tokyo)

Gmail Smart Compose: Real-Time Assisted Writing (Page 2287)
Mia Xu Chen (Google)
Benjamin N. Lee (Google)
Gagan Bansal (Google)
Yuan Cao (Google)
Shuyuan Zhang (Google)
Justin Lu (Google)
Jackie Tsay (Google)
Yinan Wang (Google)
Andrew M. Dai (Google)
Zhifeng Chen (Google)
Timothy Sohn (Google)
Yonghui Wu (Google)

Hard to Park? Estimating Parking Difficulty at Scale (Page 2296)
Neha Arora (Google Research)
James Cook (Google Research)
Ravi Kumar (Google Research)
Ivan Kuznetsov (Google Research)
Yechen Li (Google Research)
Huai-Jen Liang (Google Research)
Andrew Miller (Google Research)
Andrew Tomkins (Google Research)
Iveel Tsogsuren (Google Research)
Yi Wang (Google Research)

How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction (Page 2305)
Shanshan Zhang (Temple University)
Lihong He (Temple University)
Eduard Dragut (Temple University)
Slobodan Vucetic (Temple University)

Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System (Page 2314)
Hao Liu (Baidu Research)
Yongxin Tong (Beihang University)
Panpan Zhang (Baidu Research)
Xinjiang Lu (Baidu Research)
Jianguo Duan (Baidu Research)
Hui Xiong (Baidu Research & Rutgers University)

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning (Page 2325)
Jessica Hwang (Stanford University)
Paulo Orenstein (Stanford University)
Judah Cohen (Atmospheric and Environmental Research)
Karl Pfeiffer (Atmospheric and Environmental Research)
Lester Mackey (Microsoft Research New England)

Infer Implicit Contexts in Real-time Online-to-Offline Recommendation (Page 2336)
Xichen Ding (Koubei, Alibaba Group)
Jie Tang (Tsinghua University)
Tracy Liu (Tsinghua University)
Cheng Xu (Koubei, Alibaba Group)
Yaping Zhang (Koubei, Alibaba Group)
Feng Shi (Koubei, Alibaba Group)
Qixia Jiang (Koubei, Alibaba Group)
Dan Shen (Koubei, Alibaba Group)

IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation (Page 2347)
Jun Zhao (Alibaba Group)
Zhou Zhou (Alibaba Group)
Ziyu Guan (Xidian University)
Wei Zhao (Xidian University)
Wei Ning (Alibaba Group)
Guang Qiu (Alibaba Group)
Xiaofei He (Zhejiang University)

Internal Promotion Optimization (Page 2358)
Rupesh Gupta (LinkedIn Corporation)
Guangde Chen (LinkedIn Corporation)
Shipeng Yu (LinkedIn Corporation)

Investigate Transitions into Drug Addiction through Text Mining of Reddit Data (Page 2367)
John Lu (University of California, Irvine)
Sumati Sridhar (University of North Carolina at Chapel Hill)
Ritika Pandey (Indiana University Purdue University Indianapolis)
Mohammad Al Hasan (Indiana University Purdue University Indianapolis)
Georege Mohler (Indiana University Purdue University Indianapolis)

Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction (Page 2376)
Chi Chen (Tsinghua University)
Li Zhao (Microsoft Research)
Jiang Bian (Microsoft Research)
Chunxiao Xing (Tsinghua University)
Tie-Yan Liu (Microsoft Research)

IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery (Page 2385)
Dipendra Jha (Northwestern University)
Logan Ward (University of Chicago & Argonne National Lab)
Zijiang Yang (Northwestern University)
Christopher Wolverton (Northwestern University)
Ian Foster (University of Chicago & Argonne National Lab)
Wei-keng Liao (Northwestern University)
Alok Choudhary (Northwestern University)
Ankit Agrawal (Northwestern University)

Large-Scale Training Framework for Video Annotation (Page 2394)
Seong Jae Hwang (University of Wisconsin-Madison)
Joonseok Lee (Google Research)
Balakrishnan Varadarajan (Google Research)
Ariel Gordon (Google Research)
Zheng Xu (Google Research)
Apostol (Paul) Natsev (Google Research)

Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework (Page 2403)
Xiaoyang Ma (Tencent)
Lan Zhang (University of Science and Technology of China)
Lan Xu (Tencent)
Zhicheng Liu (Tencent)
Ge Chen (Tencent)
Zhili Xiao (Tencent)
Yang Wang (Tencent)
Zhengtao Wu (University of Science and Technology of China)

Learning a Unified Embedding for Visual Search at Pinterest (Page 2412)
Andrew Zhai (Pinterest)
Hao-Yu Wu (Pinterest)
Eric Tzeng (Pinterest & University of California, Berkeley)
Dong Huk Park (Pinterest & University of California, Berkeley)
Charles Rosenberg (Pinterest)

Learning Sleep Quality from Daily Logs (Page 2421)
Sungkyu Park (Korea Advanced Institute of Science and Technology)
Cheng-Te Li (National Cheng Kung University)
Sungwon Han (Korea Advanced Institute of Science and Technology)
Cheng Hsu (National Cheng Kung University)
Sang Won Lee (Kyungpook National University Chilgok Hospital)
Meeyoung Cha (IBS & KAIST)

Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data (Page 2430)
Jackson A. Killian (University of Southern California)
Bryan Wilder (University of Southern California)
Amit Sharma (Microsoft Research India)
Vinod Choudhary (RNTCP, Mumbai)
Bistra Dilkina (University of Southern California)
Milind Tambe (University of Southern California)

LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction (Page 2439)
Yangli-ao Geng (Beijing Jiaotong University)
Qingyong Li (Beijing Jiaotong University)
Tianyang Lin (Beijing Jiaotong University)
Lei Jiang (Beijing Jiaotong University)
Liangtao Xu (Chinese Academy of Meteorological Sciences)
Dong Zheng (Chinese Academy of Meteorological Sciences)
Wen Yao (Chinese Academy of Meteorological Sciences)
Weitao Lyu (Chinese Academy of Meteorological Sciences)
Yijun Zhang (Fudan University)

Machine Learning at Microsoft with ML.NET (Page 2448)
Zeeshan Ahmed (Microsoft)
Saeed Amizadeh (Microsoft)
Mikhail Bilenko (Yandex)
Rogan Carr (Microsoft)
Wei-Sheng Chin (Microsoft)
Yael Dekel (Microsoft)
Xavier Dupre (Microsoft)
Vadim Eksarevskiy (Microsoft)
Senja Filipi (Microsoft)
Tom Finley (Microsoft)
Abhishek Goswami (Microsoft)
Monte Hoover (Microsoft)
Scott Inglis (Microsoft)
Matteo Interlandi (Microsoft)
Najeeb Kazmi (Microsoft)
Gleb Krivosheev (Microsoft)
Pete Luferenko (Microsoft)
Ivan Matantsev (Microsoft)
Sergiy Matusevych (Microsoft)
Shahab Moradi (Microsoft)
Gani Nazirov (Microsoft)
Justin Ormont (Microsoft)
Gal Oshri (Microsoft)
Artidoro Pagnoni (Microsoft)
Jignesh Parmar (Microsoft)
Prabhat Roy (Microsoft)
Mohammad Zeeshan Siddiqui (Microsoft)
Markus Weimer (Microsoft)
Shauheen Zahirazami (Microsoft)
Yiwen Zhu (Microsoft)

Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning (Page 2459)
Megha Srivastava (Stanford University)
Hoda Heidari (ETH Zürich)
Andreas Krause (ETH Zürich)

MediaRank: Computational Ranking of Online News Sources (Page 2469)
Junting Ye (Stony Brook University)
Steven Skiena (Stony Brook University)

Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation (Page 2478)
Shaohua Fan (Beijing University of Posts and Telecommunications)
Junxiong Zhu (Alibaba Group)
Xiaotian Han (Beijing University of Posts and Telecommunications)
Chuan Shi (Beijing University of Posts and Telecommunications)
Linmei Hu (Beijing University of Posts and Telecommunications)
Biyu Ma (Alibaba Group)
Yongliang Li (Alibaba Group)

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (Page 2487)
Xi Sheryl Zhang (Cornell University)
Fengyi Tang (Michigan State University)
Hiroko H. Dodge (University of Michigan & Oregon Health & Science University)
Jiayu Zhou (Michigan State University)
Fei Wang (Cornell University)

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search (Page 2509)
Miao Fan (Baidu Inc.)
Jiacheng Guo (Baidu Inc.)
Shuai Zhu (Baidu Inc.)
Shuo Miao (Baidu Inc.)
Mingming Sun (Baidu Inc.)
Ping Li (Baidu Inc.)

MSURU: Large Scale E-commerce Image Classification With Weakly Supervised Search Data (Page 2518)
Yina Tang (Facebook Inc.)
Fedor Borisyuk (Facebook Inc.)
Siddarth Malreddy (Facebook Inc.)
Yixuan Li (Facebook Inc.)
Yiqun Liu (Facebook Inc.)
Sergey Kirshner (Facebook Inc.)

Multi-Horizon Time Series Forecasting with Temporal Attention Learning (Page 2527)
Chenyou Fan (JD.com)
Yuze Zhang (JD.com)
Yi Pan (JD.com)
Xiaoyue Li (JD.com)
Chi Zhang (JD.com)
Rong Yuan (JD.com)
Di Wu (JD.com)
Wensheng Wang (JD.com)
Jian Pei (JD.com & Simon Fraser University)
Heng Huang (JD Finance America Corporation & University of Pittsburgh)

MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games (Page 2536)
Jianrong Tao (Fuxi AI Lab, NetEase Inc.)
Jianshi Lin (Fuxi AI Lab, NetEase Inc.)
Shize Zhang (Fuxi AI Lab, NetEase Inc.)
Sha Zhao (Zhejiang University)
Runze Wu (Fuxi AI Lab, NetEase Inc.)
Changjie Fan (Fuxi AI Lab, NetEase Inc.)
Peng Cui (Tsinghua University)

Naranjo Question Answering using End-to-End Multi-task Learning Model (Page 2547)
Bhanu Pratap Singh Rawat (University of Massachusetts, Amherst)
Fei Li (University of Massachusetts, Lowell)
Hong Yu (University of Massachusetts, Lowell)

Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data -- An Application to Climate Prediction (Page 2556)
Yumin Liu (Northeastern University)
Junxiang Chen (Northeastern University)
Auroop Ganguly (Northeastern University)
Jennifer Dy (Northeastern University)

Nostalgin: Extracting 3D City Models from Historical Image Data (Page 2565)
Amol Kapoor (Google Research)
Hunter Larco (Google Research)
Raimondas Kiveris (Google Research)

NPA: Neural News Recommendation with Personalized Attention (Page 2576)
Chuhan Wu (Tsinghua University)
Fangzhao Wu (Microsoft Research Asia)
Mingxiao An (University of Science and Technology of China)
Jianqiang Huang (Peking University)
Yongfeng Huang (Tsinghua University)
Xing Xie (Microsoft Research Asia)

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs (Page 2585)
Fanjin Zhang (Tsinghua University)
Xiao Liu (Tsinghua University)
Jie Tang (Tsinghua University)
Yuxiao Dong (Microsoft Research)
Peiran Yao (Tsinghua University)
Jie Zhang (Tsinghua University)
Xiaotao Gu (Tsinghua University)
Yan Wang (Tsinghua University)
Bin Shao (Microsoft Research)
Rui Li (Microsoft Research)
Kuansan Wang (Microsoft Research)

OCC: A Smart Reply System for Efficient In-App Communications (Page 2596)
Yue Weng (Uber AI)
Huaixiu Zheng (Uber AI)
Franziska Bell (Uber AI)
Gokhan Tur (Uber AI)

Online Amnestic DTW to allow Real-Time Golden Batch Monitoring (Page 2604)
Chin-Chia Michael Yeh (University of California, Riverside)
Yan Zhu (University of California, Riverside)
Hoang Anh Dau (University of California, Riverside)
Amirali Darvishzadeh (University of California, Riverside)
Mikhail Noskov (Aspen Technology)
Eamonn Keogh (University of California, Riverside)

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics (Page 2613)
Chao Huang (University of Notre Dame & JD Digits)
Xian Wu (University of Notre Dame)
Xuchao Zhang (Virginia Tech)
Chuxu Zhang (University of Notre Dame)
Jiashu Zhao (JD.com)
Dawei Yin (JD.com)
Nitesh V. Chawla (University of Notre Dame)

Optuna: A Next-generation Hyperparameter Optimization Framework (Page 2623)
Takuya Akiba (Preferred Networks, Inc.)
Shotaro Sano (Preferred Networks, Inc.)
Toshihiko Yanase (Preferred Networks, Inc.)
Takeru Ohta (Preferred Networks, Inc.)
Masanori Koyama (Preferred Networks, Inc.)

Personalized Attraction Enhanced Sponsored Search with Multi-task Learning (Page 2632)
Wei Zhao (State Key Lab of ISN & Xidian University)
Boxuan Zhang (Alibaba Group)
Beidou Wang (Simon Fraser University)
Ziyu Guan (State Key Lab of ISN & Xidian University)
Wanxian Guan (Alibaba Group)
Guang Qiu (Alibaba Group)
Wei Ning (Alibaba Group)
Jiming Chen (Zhejiang University)
Hongmin Liu (Henan Polytechnic University)

Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching (Page 2643)
Mathias Kraus (ETH Zurich)
Stefan Feuerriegel (ETH Zurich)

PinText: A Multitask Text Embedding System in Pinterest (Page 2653)
Jinfeng Zhuang (Pinterest)
Yu Liu (Pinterest)

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion (Page 2662)
Wen Chen (Alibaba Group)
Pipei Huang (Alibaba Group)
Jiaming Xu (Alibaba Group)
Xin Guo (Alibaba Group)
Cheng Guo (Alibaba Group)
Fei Sun (Alibaba Group)
Chao Li (Alibaba Group)
Andreas Pfadler (Alibaba Group)
Huan Zhao (Alibaba Group)
Binqiang Zhao (Alibaba Group)

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction (Page 2671)
Qi Pi (Alibaba Group)
Weijie Bian (Alibaba Group)
Guorui Zhou (Alibaba Group)
Xiaoqiang Zhu (Alibaba Group)
Kun Gai (Alibaba Group)

Precipitation Nowcasting with Satellite Imagery (Page 2680)
Vadim Lebedev (Yandex)
Vladimir Ivashkin (Yandex)
Irina Rudenko (Yandex)
Alexander Ganshin (Yandex)
Alexander Molchanov (Yandex)
Sergey Ovcharenko (Yandex)
Ruslan Grokhovetskiy (Yandex)
Ivan Bushmarinov (Yandex)
Dmitry Solomentsev (Yandex)

Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising (Page 2689)
Junwei Pan (Verizon Media)
Yizhi Mao (Verizon Media)
Alfonso Lobos Ruiz (University of California, Berkeley)
Yu Sun (Indeed)
Aaron Flores (Verizon Media)

Predicting Economic Development using Geolocated Wikipedia Articles (Page 2698)
Evan Sheehan (Stanford University)
Chenlin Meng (Stanford University)
Matthew Tan (Stanford University)
Burak Uzkent (Stanford University)
Neal Jean (Stanford University)
Marshall Burke (Stanford University)
David Lobell (Stanford University)
Stefano Ermon (Stanford University)

Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior (Page 2707)
Takahiro Yabe (Purdue University)
Kota Tsubouchi (Yahoo Japan Corporation)
Toru Shimizu (Yahoo Japan Corporation)
Yoshihide Sekimoto (University of Tokyo)
Satish V. Ukkusuri (Purdue University)

Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being (Page 2718)
Ehimwenma Nosakhare (Massachusetts Institute of Technology)
Rosalind Picard (Massachusetts Institute of Technology)

Pythia: AI-assisted Code Completion System (Page 2727)
Alexey Svyatkovskiy (Microsoft)
Ying Zhao (Microsoft)
Shengyu Fu (Microsoft)
Neel Sundaresan (Microsoft)

Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches (Page 2736)
Shiwen Zhao (Apple Inc)
Brandt Westing (Apple Inc)
Shawn Scully (Apple Inc)
Heri Nieto (Apple Inc)
Roman Holenstein (Apple Inc)
Minwoo Jeong (Apple Inc)
Krishna Sridhar (Apple Inc)
Brandon Newendorp (Apple Inc)
Mike Bastian (Apple Inc)
Sethu Raman (Apple Inc)
Tim Paek (Apple Inc)
Kevin Lynch (Apple Inc)
Carlos Guestrin (Apple Inc)

Randomized Experimental Design via Geographic Clustering (Page 2745)
David Rolnick (University of Pennsylvania)
Kevin Aydin (Google Research)
Jean Pouget-Abadie (Google Research)
Shahab Kamali (Google Research)
Vahab Mirrokni (Google Research)
Amir Najmi (Google Research)

Ranking in Genealogy: Search Results Fusion at Ancestry (Page 2754)
Peng Jiang (Ancestry)
Yingrui Yang (Ancestry)
Gann Bierner (Ancestry)
Fengjie Alex Li (Ancestry)
Ruhan Wang (Ancestry)
Azadeh Moghtaderi (Ancestry)

Real-time Attention Based Look-alike Model for Recommender System (Page 2765)
Yudan Liu (WeiXin Group, Tencent Inc.)
Kaikai Ge (WeiXin Group, Tencent Inc.)
Xu Zhang (WeiXin Group, Tencent Inc.)
Leyu Lin (WeiXin Group, Tencent Inc.)

Real-time Event Detection on Social Data Streams (Page 2774)
Mateusz Fedoryszak (Twitter)
Brent Frederick (Twitter)
Vijay Rajaram (Twitter)
Changtao Zhong (Twitter)

Real-time On-Device Troubleshooting Recommendation for Smartphones (Page 2783)
Keiichi Ochiai (NTT DOCOMO, INC.)
Kohei Senkawa (NTT DOCOMO, INC.)
Naoki Yamamoto (NTT DOCOMO, INC.)
Yuya Tanaka (NTT DOCOMO, INC.)
Yusuke Fukazawa (NTT DOCOMO, INC.)

Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones (Page 2792)
Tadashi Okoshi (Keio University)
Kota Tsubouchi (Yahoo Japan Corporation)
Hideyuki Tokuda (Keio University)

Recurrent Neural Networks for Stochastic Control in Real-Time Bidding (Page 2801)
Nicolas Grislain (Verizon Media)
Nicolas Perrin (Verizon Media)
Antoine Thabault (Verizon Media)

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems (Page 2810)
Lixin Zou (Tsinghua University)
Long Xia (JD.com)
Zhuoye Ding (JD.com)
Jiaxing Song (Tsinghua University)
Weidong Liu (Tsinghua University)
Dawei Yin (JD.com)

Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising (Page 2819)
Achir Kalra (Forbes Media LLC)
Chong Wang (S&P Global)
Cristian Borcea (New Jersey Institute of Technology)
Yi Chen (New Jersey Institute of Technology)

Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (Page 2828)
Ya Su (Tsinghua University)
Youjian Zhao (Tsinghua University)
Chenhao Niu (Tsinghua University)
Rong Liu (Stevens Institute of Technology)
Wei Sun (Beijing University of Posts and Telecommunications)
Dan Pei (Tsinghua University)

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement (Page 2838)
Ming Lin (Alibaba Group)
Xiaomin Song (Alibaba Group)
Qi Qian (Alibaba Group)
Hao Li (Alibaba Group)
Liang Sun (Alibaba Group)
Shenghuo Zhu (Alibaba Group)
Rong Jin (Alibaba Group)

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points (Page 2848)
Zhibin Li (University of Technology Sydney)
Jian Zhang (University of Technology Sydney)
Qiang Wu (University of Technology Sydney)
Yongshun Gong (JD AI Research & University of Technology Sydney)
Jinfeng Yi (JD AI Research)
Christina Kirsch (Sydney Trains-Operational Technology)

Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs (Page 2857)
Thien Q. Tran (University of Tsukuba)
Jun Sakuma (University of Tsukuba & RIKEN Center for Advanced Intelligence Project)

Seeker: Real-Time Interactive Search (Page 2867)
Ari Biswas (Amazon)
Thai T. Pham (Amazon)
Michael Vogelsong (Amazon)
Benjamin Snyder (Microsoft Semantic Machines)
Houssam Nassif (Amazon)

Semantic Product Search (Page 2876)
Priyanka Nigam (Amazon)
Yiwei Song (Amazon)
Vijai Mohan (Amazon)
Vihan Lakshman (Amazon)
Weitian (Allen) Ding (Carnegie Mellon University)
Ankit Shingavi (Amazon)
Choon Hui Teo (Amazon)
Hao Gu (Amazon)
Bing Yin (Amazon)

Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data (Page 2886)
Dimitris Spathis (University of Cambridge)
Sandra Servia-Rodriguez (University of Cambridge)
Katayoun Farrahi (University of Southampton)
Cecilia Mascolo (University of Cambridge)
Jason Rentfrow (University of Cambridge)

Sequential Scenario-Specific Meta Learner for Online Recommendation (Page 2895)
Zhengxiao Du (Tsinghua University)
Xiaowei Wang (Alibaba Group)
Hongxia Yang (Alibaba Group)
Jingren Zhou (Alibaba Group)
Jie Tang (Tsinghua University)

Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data (Page 2905)
Sobhan Moosavi (The Ohio State University)
Mohammad Hossein Samavatian (The Ohio State University)
Arnab Nandi (The Ohio State University)
Srinivasan Parthasarathy (The Ohio State University)
Rajiv Ramnath (The Ohio State University)

Shrinkage Estimators in Online Experiments (Page 2914)
Drew Dimmery (Facebook)
Eytan Bakshy (Facebook)
Jasjeet Sekhon (University of California, Berkeley)

Smart Roles: Inferring Professional Roles in Email Networks (Page 2923)
Di Jin (University of Michigan Ann Arbor)
Mark Heimann (University of Michigan Ann Arbor)
Tara Safavi (University of Michigan Ann Arbor)
Mengdi Wang (University of Pittsburgh)
Wei Lee (Trove AI)
Lindsay Snider (Trove AI)
Danai Koutra (University of Michigan Ann Arbor)

SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine (Page 2934)
Abhilash Reddy Chenreddy (University of Illinois at Chicago)
Parshan Pakiman (University of Illinois at Chicago)
Selvaprabu Nadarajah (University of Illinois at Chicago)
Ranganathan Chandrasekaran (University of Illinois at Chicago)
Rick Abens (Foresight ROI, Inc.)

Social Skill Validation at LinkedIn (Page 2943)
Xiao Yan (LinkedIn)
Jaewon Yang (LinkedIn)
Mikhail Obukhov (LinkedIn)
Lin Zhu (LinkedIn)
Joey Bai (LinkedIn)
Shiqi Wu (LinkedIn)
Qi He (LinkedIn)

Structured Noise Detection: Application on Well Test Pressure Derivative Data (Page 2952)
Farhan Asif Chowdhury (University of New Mexico)
Satomi Suzuki (ExxonMobil Upstream Integrated Solutions)
Abdullah Mueen (University of New Mexico)

Temporal Probabilistic Profiles for Sepsis Prediction in the ICU (Page 2961)
Eitam Sheetrit (Ben-Gurion University)
Nir Nissim (Ben-Gurion University)
Denis Klimov (Ben-Gurion University)
Yuval Shahar (Ben-Gurion University)

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank (Page 2970)
Rama Kumar Pasumarthi (Google)
Sebastian Bruch (Google)
Xuanhui Wang (Google)
Cheng Li (Google)
Michael Bendersky (Google)
Marc Najork (Google)
Jan Pfeifer (Google)
Nadav Golbandi (Google)
Rohan Anil (Google)
Stephan Wolf (Google)

The Error is the Feature: How to Forecast Lightning using a Model Prediction Error (Page 2979)
Christian Schön (Saarland Informatics Campus)
Jens Dittrich (Saarland Informatics Campus)
Richard Müller (German Meteorological Service)

The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis (Page 2989)
Xuan Yin (Etsy, Inc.)
Liangjie Hong (Etsy, Inc.)

The Secret Lives of Names? Name Embeddings from Social Media (Page 3000)
Junting Ye (Stony Brook University)
Steven Skiena (Stony Brook University)

Time-Series Anomaly Detection Service at Microsoft (Page 3009)
Hansheng Ren (Microsoft)
Bixiong Xu (Microsoft)
Yujing Wang (Microsoft)
Chao Yi (Microsoft)
Congrui Huang (Microsoft)
Xiaoyu Kou (Microsoft)
Tony Xing (Microsoft)
Mao Yang (Microsoft)
Jie Tong (Microsoft)
Qi Zhang (Microsoft)

Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation (Page 3018)
Xiao Zhou (University of Cambridge)
Cecilia Mascolo (University of Cambridge)
Zhongxiang Zhao (Tencent Inc.)

Towards Identifying Impacted Users in Cellular Services (Page 3029)
Shobha Venkataraman (Unaffiliated)
Jia Wang (AT&T Labs -- Research)

Towards Knowledge-Based Personalized Product Description Generation in E-commerce (Page 3040)
Qibin Chen (Tsinghua University)
Junyang Lin (Peking University & Alibaba Group)
Yichang Zhang (Alibaba Group)
Hongxia Yang (Alibaba Group)
Jingren Zhou (Alibaba Group)
Jie Tang (Tsinghua University)

Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection (Page 3051)
Kevin Fauvel (Universite Rennes, Inria, CNRS, IRISA)
Véronique Masson (Universite Rennes, Inria, CNRS, IRISA)
Élisa Fromont (Universite Rennes, Inria, CNRS, IRISA)
Philippe Faverdin (PEGASE, INRA, AGROCAMPUS OUEST)
Alexandre Termier (Universite Rennes, Inria, CNRS, IRISA)

TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme (Page 3060)
Zheyi Pan (Shanghai Jiaotong University)
Jie Bao (JD Intelligent Cities Research)
Weinan Zhang (Shanghai Jiaotong University)
Yong Yu (Shanghai Jiaotong University)
Yu Zheng (JD Intelligent Cities Research)

TV Advertisement Scheduling by Learning Expert Intentions (Page 3071)
Yasuhisa Suzuki (NEC Corporation)
Wemer M. Wee (NEC Corporation)
Itaru Nishioka (NEC Corporation)

Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform (Page 3082)
Tom Sühr (Max Planck Institute for Software Systems)
Asia J. Biega (Microsoft Research)
Meike Zehlike (Max Planck Institute for Software Systems)
Krishna P. Gummadi (Max Planck Institute for Software Systems)
Abhijnan Chakraborty (Max Planck Institute for Software Systems)

Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena (Page 3093)
Yunfei Lu (Tsinghua University)
Linyun Yu (Bytedance AI Lab)
Peng Cui (Tsinghua University)
Chengxi Zang (Tsinghua University)
Renzhe Xu (Tsinghua University)
Yihao Liu (Bytedance AI Lab)
Lei Li (Bytedance AI Lab)
Wenwu Zhu (Bytedance AI Lab)

Understanding Consumer Journey using Attention based Recurrent Neural Networks (Page 3102)
Yichao Zhou (University of California, Los Angeles)
Shaunak Mishra (Yahoo Research)
Jelena Gligorijevic (Yahoo Research)
Tarun Bhatia (Yahoo Research)
Narayan Bhamidipati (Yahoo Research)

Understanding the Role of Style in E-commerce Shopping (Page 3112)
Hao Jiang (Twitter)
Aakash Sabharwal (Etsy)
Adam Henderson (Etsy)
Diane Hu (Etsy)
Liangjie Hong (Etsy)

Unsupervised Clinical Language Translation (Page 3121)
Wei-Hung Weng (Massachusetts Institute of Technology)
Yu-An Chung (Massachusetts Institute of Technology)
Peter Szolovits (Massachusetts Institute of Technology)

UrbanFM: Inferring Fine-Grained Urban Flows (Page 3132)
Yuxuan Liang (Xidian University & National University of Singapore)
Kun Ouyang (National University of Singapore & SAP Machine Learning Applications)
Lin Jing (Xidian University)
Sijie Ruan (Xidian University & JD Intelligent Cities Research)
Ye Liu (National University of Singapore)
Junbo Zhang (JD Intelligent Cities Research & Southwest Jiaotong University)
David S. Rosenblum (National University of Singapore)
Yu Zheng (JD Intelligent Cities Research, Xidian University, & Southwest Jiaotong University)

Using Twitter to Predict When Vulnerabilities will be Exploited (Page 3143)
Haipeng Chen (Dartmouth College)
Rui Liu (Dartmouth College)
Noseong Park (George Mason University)
V.S. Subrahmanian (Dartmouth College)

Whole Page Optimization with Global Constraints (Page 3153)
Weicong Ding (Amazon.com)
Dinesh Govindaraj (Amazon.com)
S V N Vishwanathan (Amazon.com)

Applied Data Science Invited Talks

4 Perspectives in Human-Centered Machine Learning (Page 3162)
Carlos Guestrin (University of Washington)

Addressing Challenges in Data Science: Scale, Skill Sets and Complexity (Page 3163)
Joseph Bradley (Databricks, Inc.)

AI for Small Businesses and Consumers: Applications and Innovations (Page 3164)
Ashok Srivastava (Intuit Inc)

AliGraph: A Comprehensive Graph Neural Network Platform (Page 3165)
Hongxia Yang (Alibaba Group)

Analytics Journey Map: An Approach Enable to ML at Scale (Page 3167)
Ganesh Thondikulam (Kaiser Permanente)

Applications of AI/ML in Established and New Industries (Page 3168)
Hassan Sawaf (Amazon Web Services)

Building a Better Self-Driving Car: Hardware, Software, and Knowledge (Page 3169)
Kumar Chellapilla (Lyft)

Data Science Challenges @ LinkedIn (Page 3170)
Ya Xu (Linkedin)

Earth Observations from a New Generation of Geostationary Satellites (Page 3171)
Ramakrishna Nemani (Nasa Ames Research Center)

Exploiting High Dimensionality in Big Data (Page 3172)
David Heckerman (Amazon)

Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery (Page 3173)
Paige Maas (Facebook)

Friends Don’t Let Friends Deploy Black-Box Models:The Importance of Intelligibility in Machine Learning (Page 3174)
Richard Caruana (Microsoft)

From Code to Data: AI at Scale for Developer Productivity (Page 3175)
Neel Sundaresan (Microsoft)

Integrating Domain-Knowledge into Deep Learning (Page 3176)
Ruslan Salakhutdinov (Apple)

Preventing Rhino Poaching through Machine Learning (Page 3177)
Olga Liakhovich (Microsoft)
Gabriel Domínguez Conde (Microsoft)

Product Ecosystem Optimization at LinkedIn (Page 3178)
Rómer Rosales (Linkedin)

Roll of Unified Graph Analysis Platforms (Page 3179)
Yinglong Xia (Futurewei Technologies)

Seven Years of Data Science at Airbnb (Page 3180)
Elena Grewal (Airbnb)

Spinning the AI Pinwheel (Page 3181)
Jairam Ranganathan (KeepTruckin)

Towards ML Engineering with TensorFlow Extended (TFX) (Page 3182)
Konstantinos Katsiapis (Google)
Kevin Haas (Google)

Transportation: A Data Driven Approach (Page 3183)
Jieping Ye (Didi Chuxing & University of Michigan, Ann Arbor)

Welfare Maximization in Online Two-sided Marketplaces (Page 3184)
Sreenivas Gollapudi (Google Research)

Tutorials

Adaptive Influence Maximization (Page 3185)
Bogdan Cautis (LRI, Université Paris-Sud)
Silviu Maniu (LRI, Université Paris-Sud)
Nikolaos Tziortziotis (Tradelab and LRI, Université Paris-Sud)

Advances in Cost-sensitive Multiclass and Multilabel Classification (Page 3187)
Hsuan-Tien Lin (National Taiwan University)

Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments (Page 3189)
Xiaolin Shi (Snap Inc.)
Pavel Dmitriev (Outreach)
Somit Gupta (Microsoft)
Xin Fu (Facebook)

Constructing and Mining Heterogeneous Information Networks from Massive Text (Page 3191)
Jingbo Shang (University of Illinois Urbana-Champaign)
Jiaming Shen (University of Illinois Urbana-Champaign)
Liyuan Liu (University of Illinois Urbana-Champaign)
Jiawei Han (University of Illinois Urbana-Champaign)

Data Integration and Machine Learning: A Natural Synergy (Page 3193)
Xin Luna Dong (Amazon)
Theodoros Rekatsinas (University of Wisconsin-Madison)

Data Mining Methods for Drug Discovery and Development (Page 3195)
Cao Xiao (IQVIA)
Jimeng Sun (Georgia Institute of Technology)

Deep Bayesian Mining, Learning and Understanding (Page 3197)
Jen-Tzung Chien (National Chiao Tung University)

Deep Natural Language Processing for Search and Recommender Systems (Page 3199)
Weiwei Guo (LinkedIn)
Huiji Gao (LinkedIn)
Jun Shi (LinkedIn)
Bo Long (LinkedIn)
Liang Zhang (LinkedIn)
Bee-Chung Chen (LinkedIn)
Deepak Agarwal (LinkedIn)

Deep Reinforcement Learning with Applications in Transportation (Page 3201)
Zhiwei (Tony) Qin (DiDi AI Labs, Didi Chuxing)
Jian Tang (DiDi AI Labs, Didi Chuxing & Syracuse University)
Jieping Ye (DiDi AI Labs, Didi Chuxing & University of Michigan)

Explainable AI in Industry (Page 3203)
Krishna Gade (Fiddler Labs)
Sahin Cem Geyik (LinkedIn)
Krishnaram Kenthapadi (LinkedIn)
Varun Mithal (LinkedIn)
Ankur Taly (Fiddler Labs)

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned (Page 3205)
Sarah Bird (Microsoft)
Ben Hutchinson (Google)
Krishnaram Kenthapadi (LinkedIn)
Emre Kıcıman (Microsoft)
Margaret Mitchell (Google)

Fake News Research: Theories, Detection Strategies, and Open Problems (Page 3207)
Reza Zafarani (Syracuse University)
Xinyi Zhou (Syracuse University)
Kai Shu (Arizona State University)
Huan Liu (Arizona State University)

Forecasting Big Time Series: Theory and Practice (Page 3209)
Christos Faloutsos (Carnegie Mellon University & Amazon Research)
Valentin Flunkert (AWS AI Labs)
Jan Gasthaus (AWS AI Labs)
Tim Januschowski (AWS AI Labs)
Yuyang Wang (AWS AI Labs)

Foundations of Large-Scale Sequential Experimentation (Page 3211)
Aaditya Ramdas (Carnegie Mellon University)

Gold Panning from the Mess:Rare Category Exploration, Exposition, Representation, and Interpretation (Page 3213)
Dawei Zhou (Arizona State University)
Jingrui He (Arizona State University)

Hypothesis Testing and Statistically-sound Pattern Mining (Page 3215)
Leonardo Pellegrina (Università di Padova)
Matteo Riondato (Amherst College)
Fabio Vandin (Università di Padova)

Incompleteness in Networks: Biases, Skewed Results, and Some Solutions (Page 3217)
Tina Eliassi-rad (Northeastern University)
Rajmonda Caceres (MIT Lincoln Laboratory)
Timothy LaRock (Northeastern University)

Interpretable Knowledge Discovery Reinforced by Visual Methods (Page 3219)
Boris Kovalerchuk (Central Washington University)

Learning From Networks: Algorithms, Theory, and Applications (Page 3221)
Xiao Huang (Texas A&M University)
Peng Cui (Tsinghua University)
Yuxiao Dong (Microsoft Research)
Jundong Li (Arizona State University & University of Virginia)
Huan Liu (Arizona State University)
Jian Pei (Simon Fraser University)
Le Song (Georgia Institute of Technology)
Jie Tang (Tsinghua University)
Fei Wang (Cornell University)
Hongxia Yang (Alibaba Group)
Wenwu Zhu (Tsinghua University)

Mining and Model Understanding on Medical Data (Page 3223)
Myra Spiliopoulou (Otto-von-Guericke-University Magdeburg)
Panagiotis Papapetrou (Stockholm University)

Mining Temporal Networks (Page 3225)
Polina Rozenshtein (Nordea Data Science Lab)
Aristides Gionis (Aalto University)

Modeling and Applications for Temporal Point Processes (Page 3227)
Junchi Yan (Shanghai Jiao Tong University)
Hongteng Xu (Infinia ML, Inc. & Duke University)
Liangda Li (Yahoo! Research)

Modern MDL meets Data Mining Insights, Theory, and Practice (Page 3229)
Jilles Vreeken (Saarland Informatics Campus)
Kenji Yamanishi (University of Tokyo)

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching (Page 3231)
Yao Zhou (Arizona State University)
Fenglong Ma (University at Buffalo)
Jing Gao (University at Buffalo)
Jingrui He (Arizona State University)

Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning (Page 3233)
Pin-Yu Chen (IBM Research)
Sijia Liu (IBM Research)

Social User Interest Mining: Methods and Applications (Page 3235)
Fattane Zarrinkalam (Ryerson University)
Hossein Fani (University of New Brunswick)
Ebrahim Bagheri (Ryerson University)

Spatio-temporal Event Forecasting and Precursor Identification (Page 3237)
Yue Ning (Stevens Institute of Technology)

Liang Zhao (George Mason University)
Feng Chen (University at Albany – SUNY)
Chang-Tien Lu (Virginia Tech)
Huzefa Rangwala (George Mason University)

Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks (Page 3239)
Charles H. Martin (Calculation Consulting)
Michael W. Mahoney (University of California, Berkeley)

Tutorial: Are You My Neighbor? Bringing Order to Neighbor Computing Problems. (Page 3241)
David C. Anastasiu (San José State University)
uzefa Rangwala (George Mason University)
Andrea Tagarelli (University of Calabria)