KDD2019: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Author Index


Yaari, Roy (Eli Lilly and Company)
	Applied Data Science Track~ Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams

Yabe, Takahiro (Purdue University)
	Applied Data Science Track~ Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior

Yakhnenko, Oksana (Google Inc.)
	Applied Data Science Track~ Constructing High Precision Knowledge Bases with Subjective and Factual Attributes

Yamamoto, Naoki (NTT DOCOMO, INC.)
	Applied Data Science Track~ Real-time On-Device Troubleshooting Recommendation for Smartphones

Yamanishi, Kenji (The University of Tokyo)
	Applied Data Science Track~ Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression

Yamanishi, Kenji (University of Tokyo)
	Tutorial~ Modern MDL meets Data Mining Insights, Theory, and Practice

Yamazaki Vincent, Hiroyuki (Preferred Networks, Inc.)
	Applied Data Science Track~ Chainer: A Deep Learning Framework for Accelerating the Research Cycle

Yan, Junchi (Shanghai Jiao Tong University)
	Tutorial~ Modeling and Applications for Temporal Point Processes

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Yan, Ling (Alibaba Group)
	Applied Data Science Track~ A Unified Framework for Marketing Budget Allocation

Yan, Rui (Peking University)
	Research Track~ Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories

Yan, Xiao (LinkedIn)
	Applied Data Science Track~ Social Skill Validation at LinkedIn

Yan, Xifeng (University of California, Santa Barbara)
	Research Track~ Mining Algorithm Roadmap in Scientific Publications

Yan, Yujun (University of Michigan)
	Research Track~ GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data

Yan, Zheng (University of Technology Sydney)
	Applied Data Science Track~ Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting

Yanase, Toshihiko (Preferred Networks, Inc.)
	Applied Data Science Track~ Optuna: A Next-generation Hyperparameter Optimization Framework

Yang, Cheng (Alibaba Group)
	Applied Data Science Track~ A Unified Framework for Marketing Budget Allocation

Yang, Chengrun (Cornell University)
	Research Track~ OBOE: Collaborative Filtering for AutoML Model Selection

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Yang, Derek (Tsinghua University)
	Research Track~ Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding

Yang, Dingqi (University of Fribourg)
	Research Track~ NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

Yang, Haizhi (South China University of Technology)
	Applied Data Science Track~ AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation

Yang, Hongxia (Alibaba Group)
	Research Track~ Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
	Research Track~ Representation Learning for Attributed Multiplex Heterogeneous Network
	Applied Data Science Track~ Sequential Scenario-Specific Meta Learner for Online Recommendation
	Applied Data Science Track~ Towards Knowledge-Based Personalized Product Description Generation in E-commerce
	Applied Data Science Invited Talk~ AliGraph: A Comprehensive Graph Neural Network Platform
	Tutorial~ Learning From Networks: Algorithms, Theory, and Applications

Yang, Jaewon (LinkedIn)
	Applied Data Science Track~ Social Skill Validation at LinkedIn

Yang, Jianming (Tencent)
	Applied Data Science Track~ FDML: A Collaborative Machine Learning Framework for Distributed Features

Yang, Jiasen (Purdue University)
	Research Track~ HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings

Yang, Laurence (University of California, San Diego)
	Applied Data Science Track~ Estimating Cellular Goals from High-Dimensional Biological Data

Yang, Longqi (Cornell University)
	Research Track~ Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit

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Yang, Mao (Microsoft)
	Applied Data Science Track~ Time-Series Anomaly Detection Service at Microsoft

Yang, Min (Fudan University)
	Research Track~ Modeling Extreme Events in Time Series Prediction

Yang, Ming-Chang (The Chinese University of Hong Kong)
	Research Track~ A Representation Learning Framework for Property Graphs

Yang, Pei (Arizona State University & South China University of Technology)
	Research Track~ Task-Adversarial Co-Generative Nets

Yang, Peng (Cognitive Computing Lab, Baidu Research USA)
	Research Track~ GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization

Yang, Qiang (WeBank, China & Hong Kong University of Science and Technology)
	Research Track~ Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
	Research Track~ Efficient and Effective Express via Contextual Cooperative Reinforcement Learning
	Applied Data Science Track~ AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications

Yang, Shulin (Airbnb Inc.)
	Applied Data Science Track~ Applying Deep Learning to Airbnb Search

Yang, Songshan (The Pennsylvania State University)
	Research Track~ ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data

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Yang, Xiao (Baidu, Inc.)
	Applied Data Science Track~ AiAds: Automated and Intelligent Advertising System for Sponsored Search

Yang, Xun (Alibaba Group)
	Applied Data Science Track~ Bid Optimization by Multivariable Control in Display Advertising

Yang, Yang (Nanjing University)
	Research Track~ Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability

Yang, Yingrui (Ancestry)
	Applied Data Science Track~ Ranking in Genealogy: Search Results Fusion at Ancestry

Yang, Zhengyu (Shanghai Jiao Tong University)
	Research Track~ Deep Landscape Forecasting for Real-time Bidding Advertising

Yang, Zijiang (Northwestern University)
	Applied Data Science Track~ IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery

Yao, Bin (Shanghai Jiao Tong University)
	Research Track~ Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation
	Research Track~ Hidden POI Ranking with Spatial Crowdsourcing

Yao, Lina (University of New South Wales)
	Research Track~ Adversarial Variational Embedding for Robust Semi-supervised Learning

Yao, Peiran (Tsinghua University)
	Applied Data Science Track~ OAG: Toward Linking Large-scale Heterogeneous Entity Graphs

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Yao, Quanming (4Paradigm Inc.)
	Research Track~ State-Sharing Sparse Hidden Markov Models for Personalized Sequences
	Applied Data Science Track~ AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications

Yao, Shibo (New Jersey Institute of Technology)
	Research Track~ Enhancing Domain Word Embedding via Latent Semantic Imputation

Yao, Wen (Chinese Academy of Meteorological Sciences)
	Applied Data Science Track~ LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction

Yao, Yaqiang (University of Science and Technology of China)
	Research Track~ Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning

Yaroslavtsev, Grigory (Indiana University & The Alan Turing Institute)
	Research Track~ Adversarially Robust Submodular Maximization under Knapsack Constraints

Ye, Jieping (AI Labs, Didi Chuxing)
	Research Track~ Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

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Ye, Jieping (AI Labs, Didi Chuxing)
	Applied Data Science Track~ A Deep Value-network Based Approach for Multi-Driver Order Dispatching
	Applied Data Science Track~ Automatic Dialogue Summary Generation for Customer Service
	Applied Data Science Invited Talk~ Transportation: A Data Driven Approach
	Tutorial~ Deep Reinforcement Learning with Applications in Transportation

Ye, Junchen (Beihang University)
	Research Track~ Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network

Ye, Junting (Stony Brook University)
	Applied Data Science Track~ MediaRank: Computational Ranking of Online News Sources
	Applied Data Science Track~ The Secret Lives of Names? Name Embeddings from Social Media

Yeh, Chin-Chia Michael (University of California, Riverside)
	Applied Data Science Track~ Online Amnestic DTW to allow Real-Time Golden Batch Monitoring

Yellepeddi, Kartik (Deepair Solutions)
	Applied Data Science Track~ Dynamic Pricing for Airline Ancillaries with Customer Context

Yelundur, Anil R. (Amazon)
	Applied Data Science Track~ Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition

Yen, Ian En-Hsu (Carnegie Mellon University)
	Research Track~ Efficient Global String Kernel with Random Features: Beyond Counting Substructures
	Research Track~ Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Yi, Chao (Microsoft)
	Applied Data Science Track~ Time-Series Anomaly Detection Service at Microsoft

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Yi, Jinfeng (JD AI Research)
	Applied Data Science Track~ Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points

Yin, Bing (Amazon)
	Applied Data Science Track~ Semantic Product Search

Yin, Dawei (JD.com)
	Research Track~ Off-policy Learning for Multiple Loggers
	Applied Data Science Track~ Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
	Applied Data Science Track~ Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

Yin, Hongzhi (The University of Queensland)
	Research Track~ Enhancing Collaborative Filtering with Generative Augmentation
	Research Track~ Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling
	Research Track~ Streaming Session-based Recommendation

Yin, Xuan (Etsy, Inc.)
	Applied Data Science Track~ The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis

Yin, Yu (University of Science and Technology of China)
	Research Track~ QuesNet: A Unified Representation for Heterogeneous Test Questions

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Yin, Yuan (Renmin University of China)
	Research Track~ Scalable Graph Embeddings via Sparse Transpose Proximities

Ying, Yiming (University at Albany, SUNY)
	Research Track~ Dual Averaging Method for Online Graph-structured Sparsity

Yoon, Minji (Carnegie Mellon University)
	Research Track~ Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach

Yoshida, Tomoki (Nagoya Institute of Technology)
	Research Track~ Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining

Yu, Cong (Google Research)
	Research Track~ Contextual Fact Ranking and Its Applications in Table Synthesis and Compression

Yu, Dantong (New Jersey Institute of Technology)
	Research Track~ Enhancing Domain Word Embedding via Latent Semantic Imputation

Yu, Fuxun (George Mason University)
	Research Track~ ADMM for Efficient Deep Learning with Global Convergence

Yu, Hong (University of Massachusetts, Lowell)
	Applied Data Science Track~ Naranjo Question Answering using End-to-End Multi-task Learning Model

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Yu, Linyun (Bytedance AI Lab)
	Applied Data Science Track~ Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena

Yu, Shipeng (LinkedIn Corporation)
	Applied Data Science Track~ Internal Promotion Optimization

Yu, Shuyang (Northeastern University)
	Research Track~ Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning

Yu, Tong (Samsung Research America)
	Research Track~ An Visual Dialog Augmented Interactive Recommender System

Yu, Wenchao (University of California Los Angeles)
	Research Track~ Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts

Yu, Yang (Nanjing University)
	Research Track~ Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Yu, Yong (Shanghai Jiao Tong University)
	Research Track~ Deep Landscape Forecasting for Real-time Bidding Advertising
	Research Track~ Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
	Applied Data Science Track~ TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme

Yuan, Feng (University of New South Wales)
	Research Track~ Adversarial Variational Embedding for Robust Semi-supervised Learning

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Yuan, Mingxuan (Huawei Noah's Ark Lab)
	Applied Data Science Track~ A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry

Yuan, Rong (JD.com)
	Applied Data Science Track~ Multi-Horizon Time Series Forecasting with Temporal Attention Learning

Yuan, Ye (Northeastern University)
	Research Track~ Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms

Yuan, Yiping (LinkedIn Corporation)
	Applied Data Science Track~ Feedback Shaping: A Modeling Approach to Nurture Content Creation

Yue, Xiang (The Ohio State University)
	Research Track~ SurfCon: Synonym Discovery on Privacy-Aware Clinical Data

Yun, Hyokun (Amazon)
	Research Track~ Scaling Multinomial Logistic Regression via Hybrid Parallelism

Zafarani, Reza (Syracuse University)
	Tutorial~ Fake News Research: Theories, Detection Strategies, and Open Problems

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Zaheer, Manzil (Google Research)
	Research Track~ Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space

Zahirazami, Shauheen (Microsoft)
	Applied Data Science Track~ Machine Learning at Microsoft with ML.NET

Zang, Chengxi (Tsinghua University & Weill Cornell Medicine)
	Research Track~ Dynamical Origins of Distribution Functions
	Research Track~ Fates of Microscopic Social Ecosystems: Keep Alive or Dead?
	Research Track~ Uncovering Pattern Formation of Information Flow

Zang, Chengxi (Tsinghua University)
	Applied Data Science Track~ Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena

Zarringhalam, Kourosh (University of Massachusetts Boston)
	Research Track~ A Free Energy Based Approach for Distance Metric Learning

Zarrinkalam, Fattane (Ryerson University)
	Tutorial~ Social User Interest Mining: Methods and Applications

Zehlike, Meike (Max Planck Institute for Software Systems)
	Applied Data Science Track~ Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform

Zeng, Jia (Huawei Noah's Ark Lab)
	Applied Data Science Track~ A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry

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Zeng, Wei (Institute of Computing Technology, CAS)
	Research Track~ Off-policy Learning for Multiple Loggers

Zeng, Xiaoyi (Alibaba Group)
	Research Track~ A Minimax Game for Instance based Selective Transfer Learning

Zgraggen, Emanuel (Massachusetts Institute of Technology)
	Research Track~ Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Zha, Hanwen (University of California, Santa Barbara)
	Research Track~ Mining Algorithm Roadmap in Scientific Publications

Zhai, Andrew (Pinterest)
	Applied Data Science Track~ Learning a Unified Embedding for Visual Search at Pinterest

Zhai, Qiaozhu (Xi'an Jiaotong University)
	Research Track~ A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets

Zhan, De-Chuan (Nanjing University)
	Research Track~ Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability

Zhan, Xiang (The Pennsylvania State University)
	Research Track~ ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data

Zhang, Aidong (University of Virginia)
	Research Track~ Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts

Zhang, Boxuan (Alibaba Group)
	Applied Data Science Track~ Personalized Attraction Enhanced Sponsored Search with Multi-task Learning

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Zhang, Chao (Georgia Institute of Technology)
	Research Track~ State-Sharing Sparse Hidden Markov Models for Personalized Sequences

Zhang, Chi (JD.com)
	Applied Data Science Track~ Multi-Horizon Time Series Forecasting with Temporal Attention Learning

Zhang, Chuxu (University of Notre Dame)
	Research Track~ Heterogeneous Graph Neural Network
	Applied Data Science Track~ Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics

Zhang, Dongxiang (Zhejiang University)
	Applied Data Science Track~ A Collaborative Learning Framework to Tag Refinement for Points of Interest

Zhang, Fan (AI Labs, Didi Chuxing)
	Applied Data Science Track~ A Deep Value-network Based Approach for Multi-Driver Order Dispatching

Zhang, Fanjin (Tsinghua University)
	Applied Data Science Track~ OAG: Toward Linking Large-scale Heterogeneous Entity Graphs

Zhang, Fuzheng (Meituan-Dianping Group)
	Research Track~ Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

Zhang, Guangquan (University of Technology Sydney)
	Applied Data Science Track~ Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting

Zhang, Haoyu (Indiana University Bloomington)
	Research Track~ MinJoin: Efficient Edit Similarity Joins via Local Hash Minima

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Zhang, Jia (Microsoft Research)
	Research Track~ DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks

Zhang, Jian (University of Technology Sydney)
	Applied Data Science Track~ Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points

Zhang, Jianfeng (Noah's Ark Lab, Huawei Technologies)
	Research Track~ Predicting Path Failure In Time-Evolving Graphs

Zhang, Jianwei (Alibaba Group)
	Research Track~ Representation Learning for Attributed Multiplex Heterogeneous Network

Zhang, Jie (Tsinghua University)
	Applied Data Science Track~ OAG: Toward Linking Large-scale Heterogeneous Entity Graphs

Zhang, Jingshuai (Baidu Inc.)
	Applied Data Science Track~ DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview

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Zhang, Junbo (JD Intelligent Cities Research, JD Intelligent Cities Business Unit & Southwest Jiaotong University)
	Research Track~ Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
	Applied Data Science Track~ UrbanFM: Inferring Fine-Grained Urban Flows

Zhang, Lan (University of Science and Technology of China)
	Applied Data Science Track~ Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework

Zhang, Le (University of Science and Technology of China)
	Research Track~ A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction

Zhang, Liang (LinkedIn)
	Tutorial~ Deep Natural Language Processing for Search and Recommender Systems

Zhang, Mengdi (Meituan-Dianping Group)
	Research Track~ Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

Zhang, Mi (Fudan University)
	Research Track~ Modeling Extreme Events in Time Series Prediction

Zhang, Min (Tsinghua University)
	Research Track~ Investigating Cognitive Effects in Session-level Search User Satisfaction

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Zhang, Min-Ling (Southeast University & Ministry of Education)
	Research Track~ Adaptive Graph Guided Disambiguation for Partial Label Learning
	Research Track~ Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction

Zhang, Panpan (Baidu Research)
	Applied Data Science Track~ Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System

Zhang, Peng (Tianjin University)
	Applied Data Science Track~ AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2022

Zhang, Ping (Huawei)
	Research Track~ Optimizing Impression Counts for Outdoor Advertising

Zhang, Ping (Ohio State University)
	Research Track~ PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data

Zhang, Qi (Alibaba Group)
	Applied Data Science Track~ A Unified Framework for Marketing Budget Allocation
	Applied Data Science Track~ Time-Series Anomaly Detection Service at Microsoft

Zhang, Qin (Indiana University Bloomington)
	Research Track~ MinJoin: Efficient Edit Similarity Joins via Local Hash Minima

Zhang, Qing (Airbnb Inc.)
	Applied Data Science Track~ Applying Deep Learning to Airbnb Search

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Zhang, Ruofei (Microsoft)
	Applied Data Science Track~ Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning

Zhang, Shanshan (Temple University)
	Applied Data Science Track~ How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction

Zhang, Shize (Fuxi AI Lab, NetEase Inc.)
	Applied Data Science Track~ MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games

Zhang, Shuyuan (Google)
	Applied Data Science Track~ Gmail Smart Compose: Real-Time Assisted Writing

Zhang, Tao (Boss Zhipin)
	Research Track~ Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories

Zhang, Tianyang (Tsinghua University)
	Research Track~ Fates of Microscopic Social Ecosystems: Keep Alive or Dead?

Zhang, Weidong (Shanghai Jiao Tong University)
	Research Track~ Separated Trust Regions Policy Optimization Method

Zhang, Weinan (Shanghai Jiao Tong University)
	Research Track~ Deep Landscape Forecasting for Real-time Bidding Advertising
	Applied Data Science Track~ TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme

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Zhang, Xi Sheryl (Cornell University)
	Applied Data Science Track~ MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records

Zhang, Xiang (University of New South Wales)
	Research Track~ Adversarial Variational Embedding for Robust Semi-supervised Learning

Zhang, Xiangliang (King Abdullah University of Science and Technology)
	Research Track~ Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories

Zhang, Xikun (University of Illinois)
	Research Track~ Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

Zhang, Xinhua (University of Illinios Chicago)
	Research Track~ Scaling Multinomial Logistic Regression via Hybrid Parallelism

Zhang, Xiuwu (Alibaba Group)
	Applied Data Science Track~ Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction

Zhang, Xu (WeiXin Group, Tencent Inc.)
	Applied Data Science Track~ Real-time Attention Based Look-alike Model for Recommender System

Zhang, Xuchao (Virginia Tech)
	Applied Data Science Track~ Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics

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Zhang, Xuezhou (University of Wisconsin-Madison)
	Research Track~ Axiomatic Interpretability for Multiclass Additive Models

Zhang, Yang (Beihang University)
	Applied Data Science Track~ AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks

Zhang, Yaping (Koubei, Alibaba Group)
	Applied Data Science Track~ Infer Implicit Contexts in Real-time Online-to-Offline Recommendation

Zhang, Yichang (Alibaba Group)
	Applied Data Science Track~ Towards Knowledge-Based Personalized Product Description Generation in E-commerce

Zhang, Yijun (Fudan University)
	Applied Data Science Track~ LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction

Zhang, Yipeng (RMIT University)
	Research Track~ Optimizing Impression Counts for Outdoor Advertising

Zhang, Yonghui (Zhejiang University)
	Research Track~ AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization

Zhang, Yuanming (Xi'an Jiaotong University)
	Research Track~ A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets

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Zhang, Yunchao (Missouri University of Science and Technology)
	Research Track~ Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning

Zhang, Yuze (JD.com)
	Applied Data Science Track~ Multi-Horizon Time Series Forecasting with Temporal Attention Learning

Zhang, Zhen (Washington University in St. Louis)
	Research Track~ Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Zhang, Zhen-Yu (Nanjing University)
	Research Track~ Learning from Incomplete and Inaccurate Supervision

Zhang, Zhi-Li (University of Minnesota Twin Cities)
	Research Track~ Stability and Generalization of Graph Convolutional Neural Networks

Zhang, Zhiwei (Hong Kong Baptist University)
	Research Track~ Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation

Zhang, Ziwei (Tsinghua University)
	Research Track~ Robust Graph Convolutional Networks Against Adversarial Attacks

Zhao, Binqiang (Alibaba Inc.)
	Applied Data Science Track~ Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior
	Applied Data Science Track~ POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

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Zhao, Dongyan (Peking University)
	Research Track~ Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories

Zhao, Handong (Adobe Research)
	Research Track~ Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit
	Research Track~ Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?

Zhao, Hongke (Tianjin University)
	Research Track~ Exploiting Cognitive Structure for Adaptive Learning

Zhao, Huan (Hong Kong University of Science and Technology)
	Research Track~ Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
	Applied Data Science Track~ POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Zhao, Jiashu (JD.com)
	Applied Data Science Track~ Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics

Zhao, Jie (The Ohio State University)
	Research Track~ Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering

Zhao, Jiejie (Beihang University)
	Research Track~ Multiple Relational Attention Network for Multi-task Learning

Zhao, Jun (Alibaba Group)
	Applied Data Science Track~ IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

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Zhao, Kui (Alibaba Group)
	Applied Data Science Track~ A Unified Framework for Marketing Budget Allocation

Zhao, Li (Microsoft)
	Research Track~ Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding
	Applied Data Science Track~ Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction

Zhao, Liang (George Mason University)
	Research Track~ ADMM for Efficient Deep Learning with Global Convergence
	Research Track~ Efficient Global String Kernel with Random Features: Beyond Counting Substructures
	Research Track~ Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
	Tutorial~ Spatio-temporal Event Forecasting and Precursor Identification

Zhao, Miao (Hong Kong Polytechnic University)
	Research Track~ Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

Zhao, Peilin (Tencent AI Lab)
	Research Track~ GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization

Zhao, Peng (Nanjing University)
	Research Track~ Learning from Incomplete and Inaccurate Supervision

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Zhao, Sha (Zhejiang University)
	Applied Data Science Track~ MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games

Zhao, Shiwen (Apple Inc)
	Applied Data Science Track~ Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches

Zhao, Tong (Amazon)
	Research Track~ Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
	Research Track~ The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model

Zhao, Wayne Xin (Renmin University of China)
	Research Track~ Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation

Zhao, Wei (Xidian University)
	Applied Data Science Track~ IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation
	Applied Data Science Track~ Personalized Attraction Enhanced Sponsored Search with Multi-task Learning

Zhao, Yan (Soochow University)
	Research Track~ Hidden POI Ranking with Spatial Crowdsourcing

Zhao, Yihong (JD.com)
	Research Track~ Off-policy Learning for Multiple Loggers

Zhao, Ying (Microsoft)
	Applied Data Science Track~ Pythia: AI-assisted Code Completion System

Zhao, Youjian (Tsinghua University)
	Applied Data Science Track~ Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

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Zhao, Zhe (Google)
	Applied Data Science Track~ Fairness in Recommendation Ranking through Pairwise Comparisons

Zhao, Zhongxiang (Tencent Inc.)
	Applied Data Science Track~ Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation

Zhe, Chen (Innovation Lab, PayPal)
	Applied Data Science Track~ Community Detection on Large Complex Attribute Network

Zheng, Bo (Alibaba Group)
	Research Track~ A Minimax Game for Instance based Selective Transfer Learning

Zheng, Dong (Chinese Academy of Meteorological Sciences)
	Applied Data Science Track~ LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction

Zheng, Guanjie (Pennsylvania State University)
	Research Track~ PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network

Zheng, Huaixiu (Uber AI)
	Applied Data Science Track~ OCC: A Smart Reply System for Efficient In-App Communications

Zheng, Kai (University of Electronic Science and Technology of China)
	Research Track~ Hidden POI Ranking with Spatial Crowdsourcing
	Research Track~ Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling

Zheng, Lei (Shanghai Jiao Tong University)
	Research Track~ Deep Landscape Forecasting for Real-time Bidding Advertising

Zheng, Vincent W. (WeBank, China)
	Research Track~ Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
	Research Track~ Hidden POI Ranking with Spatial Crowdsourcing

Zheng, Yu (JD Intelligent Cities Business Unit)
	Research Track~ Efficient and Effective Express via Contextual Cooperative Reinforcement Learning
	Research Track~ Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning
	Research Track~ Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
	Applied Data Science Track~ Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting
	Applied Data Science Track~ TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme
	Applied Data Science Track~ UrbanFM: Inferring Fine-Grained Urban Flows

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Zheng, Yuhui (The University of Tokyo)
	Applied Data Science Track~ Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression

Zhong, Changtao (Twitter)
	Applied Data Science Track~ Real-time Event Detection on Social Data Streams

Zhou, Alexander (The University of Queensland)
	Research Track~ Streaming Session-based Recommendation

Zhou, Baojian (University at Albany, SUNY)
	Research Track~ Dual Averaging Method for Online Graph-structured Sparsity

Zhou, Dawei (Arizona State University)
	Tutorial~ Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation

Zhou, Da-Wei (Nanjing University)
	Research Track~ Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability

Zhou, Guorui (Alibaba Group)
	Applied Data Science Track~ Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

Zhou, Hao (4Paradigm Inc.)
	Applied Data Science Track~ AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications

Zhou, Jiayu (Michigan State University)
	Research Track~ GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization
	Research Track~ Retaining Privileged Information for Multi-Task Learning
	Applied Data Science Track~ MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records

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Zhou, Jingbo (Baidu Research & National Engineering Laboratory of Deep Learning Technology and Application)
	Applied Data Science Track~ A Collaborative Learning Framework to Tag Refinement for Points of Interest

Zhou, Jingren (Alibaba Group)
	Research Track~ A Minimax Game for Instance based Selective Transfer Learning
	Research Track~ Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
	Research Track~ Representation Learning for Attributed Multiplex Heterogeneous Network
	Applied Data Science Track~ Sequential Scenario-Specific Meta Learner for Online Recommendation
	Applied Data Science Track~ Towards Knowledge-Based Personalized Product Description Generation in E-commerce

Zhou, Samson (Indiana University)
	Research Track~ Adversarially Robust Submodular Maximization under Knapsack Constraints

Zhou, Shengping (Tencent)
	Applied Data Science Track~ FDML: A Collaborative Machine Learning Framework for Distributed Features

Zhou, Xiao (University of Cambridge)
	Applied Data Science Track~ Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation

Zhou, Xinyi (Syracuse University)
	Tutorial~ Fake News Research: Theories, Detection Strategies, and Open Problems

Zhou, Yao (Arizona State University)
	Tutorial~ Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching

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Zhou, Yichao (University of California, Los Angeles)
	Applied Data Science Track~ Understanding Consumer Journey using Attention based Recurrent Neural Networks

Zhou, Zhi-Hua (Nanjing University)
	Research Track~ Isolation Set-Kernel and Its Application to Multi-Instance Learning
	Research Track~ Learning from Incomplete and Inaccurate Supervision

Zhou, Zhou (Alibaba Group)
	Applied Data Science Track~ IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

Zhu, Chen (Baidu Inc.)
	Applied Data Science Track~ DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview

Zhu, Dingyuan (Tsinghua University)
	Research Track~ Robust Graph Convolutional Networks Against Adversarial Attacks

Zhu, Hengshu (Talent Intelligence Center, Baidu Inc.)
	Research Track~ A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction
	Research Track~ The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach
	Applied Data Science Track~ DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview

Zhu, Hongtu (AI Labs, Didi Chuxing)
	Applied Data Science Track~ A Deep Value-network Based Approach for Multi-Driver Order Dispatching

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Zhu, Jiong (University of Michigan)
	Research Track~ GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data

Zhu, Junxiong (Alibaba Group)
	Applied Data Science Track~ Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

Zhu, Kenny Q. (Shanghai Jiao Tong University)
	Research Track~ Exact-K Recommendation via Maximal Clique Optimization

Zhu, Lin (LinkedIn)
	Applied Data Science Track~ Social Skill Validation at LinkedIn

Zhu, Ruiwei (Baidu, Inc.)
	Applied Data Science Track~ AiAds: Automated and Intelligent Advertising System for Sponsored Search

Zhu, Shenghuo (Alibaba Group)
	Applied Data Science Track~ Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement

Zhu, Shuai (Baidu Inc.)
	Applied Data Science Track~ MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search

Zhu, Wenwu (Tsinghua University)
	Research Track~ AutoNE: Hyperparameter Optimization for Massive Network Embedding
	Research Track~ Dynamical Origins of Distribution Functions
	Research Track~ Fates of Microscopic Social Ecosystems: Keep Alive or Dead?
	Research Track~ Robust Graph Convolutional Networks Against Adversarial Attacks
	Research Track~ Social Recommendation with Optimal Limited Attention
	Research Track~ Uncovering Pattern Formation of Information Flow
	Applied Data Science Track~ Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena
	Tutorial~ Learning From Networks: Algorithms, Theory, and Applications

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Zhu, Xiaoqiang (Alibaba Group)
	Applied Data Science Track~ Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

Zhu, Yan (University of California, Riverside)
	Applied Data Science Track~ Online Amnestic DTW to allow Real-Time Golden Batch Monitoring

Zhu, Yanfeng (Baidu, Inc.)
	Applied Data Science Track~ AiAds: Automated and Intelligent Advertising System for Sponsored Search

Zhu, Yanmin (Shanghai Jiao Tong University)
	Research Track~ Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis

Zhu, Yiwen (Microsoft)
	Applied Data Science Track~ Machine Learning at Microsoft with ML.NET

Zhu, Yu (Alibaba Group)
	Research Track~ Exact-K Recommendation via Maximal Clique Optimization

Zhuang, Fuzhen (University of Chinese Academy of Sciences)
	Research Track~ Multiple Relational Attention Network for Multi-task Learning
	Research Track~ The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach
	Applied Data Science Track~ DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview

Zhuang, Jinfeng (Pinterest)
	Applied Data Science Track~ PinText: A Multitask Text Embedding System in Pinterest

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Zhuang, Zhiwei (Shanghai Jiao Tong University)
	Research Track~ Separated Trust Regions Policy Optimization Method

Zou, Hao (Tsinghua University & Beijing National Research Center for Information Science and Technology (BNRist).)
	Research Track~ Focused Context Balancing for Robust Offline Policy Evaluation

Zou, Heng (Alibaba Group)
	Applied Data Science Track~ Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction

Zou, Lixin (Tsinghua University)
	Applied Data Science Track~ Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

Zou, Luobao (Shanghai Jiao Tong University)
	Research Track~ Separated Trust Regions Policy Optimization Method

Zou, Xu (Tsinghua University)
	Research Track~ Representation Learning for Attributed Multiplex Heterogeneous Network

Zügner, Daniel (Technical University of Munich)
	Research Track~ Certifiable Robustness and Robust Training for Graph Convolutional Networks