Author Index

Tagami, Yukihiro, Yahoo Japan Corporation & Kyoto University

AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification (Page 455)

Embedding-based News Recommendation for Millions of Users (Page 1933)

Tajima, Akira, Yahoo Japan Corporation

Embedding-based News Recommendation for Millions of Users (Page 1933)

Tan, Chang, Alibaba Group

Optimized Cost per Click in Taobao Display Advertising (Page 2191)

Tan, Qi, South China Normal University

Multi-task Function-on-function Regression with Co-grouping Structured Sparsity (Page 1255)

Tang, Hsiu-Khuern, Hitachi America Ltd

Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines (Page 1981)

Tang, Jian, University of Michigan

End-to-end Learning for Short Text Expansion (Page 1105)

Tang, Jie, Tsinghua University

LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity (Page 1315)

Tang, Jiliang, Michigan State University

Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting (Page 987)

Tang, Yuan, Uptake Technologies, Inc.

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks (Page 1763)

Tang, Zhihao Gavin, University of Hong Kong

Graph Edge Partitioning via Neighborhood Heuristic (Page 605)

Tao, Dacheng, University of Sydney

Learning from Multiple Teacher Networks (Page 1285)

Tao, Guanyu, ULU Technologies Inc.

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (Page 2051)

Tao, Xianping, Nanjing University

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems (Page 525)

Tata, Sandeep, Google USA

Quick Access: Building a Smart Experience for Google Drive (Page 1643)

Tatti, Nikolaj, Aalto University

Inferring the Strength of Social Ties: A Community-Driven Approach (Page 1017)

Teja, Murali Krishna, University of Utah

Compass: Spatio Temporal Sentiment Analysis of US Election: What Twitter Says! (Page 1585)

Teng, Mingfei, Rutgers University

Point-of-Interest Demand Modeling with Human Mobility Patterns (Page 947)

Unsupervised P2P Rental Recommendations via Integer Programming (Page 165)

Termier, Alexandre, IRISA

Anomaly Detection in Streams with Extreme Value Theory (Page 1067)

Thompson, Michael, Children's Healthcare Of Atlanta

SPARTan: Scalable PARAFAC2 for Large & Sparse Data (Page 375)

Thompson, Paul, University of Southern California

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization (Page 1155)

Thornburg, Ethan, AOL Platforms

Ad Serving with Multiple KPIs (Page 1853)

Tillman, Bálint, University of California, Irvine

Construction of Directed 2K Graphs (Page 1115)

Tolkachov, Sergey, AOL Platforms

Ad Serving with Multiple KPIs (Page 1853)

Tolomei, Gabriele, Yahoo Research

Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking (Page 465)

Tomkins, Andrew, Google

The Future of Artificially Intelligent Assistants (Page 33)

Tong, Bin, Hitachi, Ltd.

Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention (Page 2031)

Tong, Hanghang, Arizona State University

A Local Algorithm for Structure-Preserving Graph Cut (Page 655)

FIRST: Fast Interactive Attributed Subgraph Matching (Page 1447)

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems (Page 525)

Is the Whole Greater Than the Sum of Its Parts? (Page 295)

Tong, Yongxin, Beihang University

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms (Page 1653)

Torlone, Riccardo, Roma Tre University

Fast Enumeration of Large k-Plexes (Page 115)

Tremayne, Mark, University of Texas at Arlington

Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster (Page 1803)

Tschiffely, Anna, Naval Medical Research Center

Unsupervised Network Discovery for Brain Imaging Data (Page 55)

Tucker, Philipp, Google, Inc.

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks (Page 1763)

Turaga, Deepak S., IBM T.J. Watson Research Center

Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data (Page 2081)

REMIX: Automated Exploration for Interactive Outlier Detection (Page 827)

Tuzhilin, Alexander, New York University

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews (Page 717)

Uesaka, Toshimitsu, The University of Tokyo

Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes (Page 2041)

Ustun, Berk, Massachusetts Institute of Technology

Optimized Risk Scores (Page 1125)

Vandal, Thomas, Northeastern University

DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution (Page 1663)

Vare, Sagar, Stanford University

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data (Page 215)

Vaz, Garnet, Microsoft Corporation

A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments (Page 1427)

Vaz de Melo, Pedro O S, Universidade Federal de Minas Gerais

Luck is Hard to Beat: The Difficulty of Sports Prediction (Page 1367)

Venkataraman, Shobha, AT&T Labs

AESOP: Automatic Policy Learning for Predicting and Mitigating Network Service Impairments (Page 1783)

Vennelakanti, Ravigopal, Hitachi America, Ltd.

Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention (Page 2031)

Vishwanathan, S.V.N., Amazon.com, Inc. & University of California, Santa Cruz

An Efficient Bandit Algorithm for Realtime Multivariate Optimization (Page 1813)

Vreeken, Jilles, Max Planck Institute for Informatics & Saarland University

Discovering Reliable Approximate Functional Dependencies (Page 355)

Vu, Long, IBM T.J. Watson Research Center

Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data (Page 2081)

Vuduc, Richard, Georgia Institute of Technology

SPARTan: Scalable PARAFAC2 for Large & Sparse Data (Page 375)

Walker, Peter, Naval Medical Research Center

Unsupervised Network Discovery for Brain Imaging Data (Page 55)

Walsh, David, Stanford University

Peeking at A/B Tests: Why it matters, and what to do about it (Page 1517)

Wang, Chenglong, Alibaba Group

A Hybrid Framework for Text Modeling with Convolutional RNN (Page 2061)

Wang, Fei, Cornell University

Patient Subtyping via Time-Aware LSTM Networks (Page 65)

SPARTan: Scalable PARAFAC2 for Large & Sparse Data (Page 375)

Unsupervised Network Discovery for Brain Imaging Data (Page 55)

Wang, Guangtao, University of Michigan

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning (Page 345)

Wang, Hao, Qihoo 360 Search Lab

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users (Page 1135)

Wang, Jie, University of Michigan

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning (Page 345)

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms (Page 1653)

Wang, Jingdong, Microsoft Research Asia and Hefei University of Technology

Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting (Page 987)

Wang, Jingyuan, Beihang University

No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods (Page 1673)

Wang, Jun, University College London

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (Page 2051)

Wang, Kuansan, Microsoft Research

A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations (Page 1437)

Wang, Pengfei, Chinese Academy of Sciences

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes (Page 495)

Wang, Qi, Michigan State University

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization (Page 1155)

Wang, Qiaosong, eBay Inc.

Visual Search at eBay (Page 2101)

Wang, Qing, Florida International University

STAR: A System for Ticket Analysis and Resolution (Page 2181)

Wang, Qinglong, Pennsylvania State University & McGill University

Adversary Resistant Deep Neural Networks with an Application to Malware Detection (Page 1145)

Wang, Qinyong, University of Queensland

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users (Page 1135)

Wang, Shen, University of Illinois at Chicago

Structural Deep Brain Network Mining (Page 475)

Wang, Sibo, University of Queensland & Nanyang Technological University

FORA: Simple and Effective Approximate Single-Source Personalized PageRank (Page 505)

Wang, Suhang, Arizona State University

Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods (Page 485)

Wang, Wentao, Florida International University

FLAP: An End-to-End Event Log Analysis Platform for System Management (Page 1547)

Wang, Xuejian, Shanghai Jiao Tong University

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (Page 2051)

Wang, Yong, Hong Kong University of Science and Technology

Is the Whole Greater Than the Sum of Its Parts? (Page 295)

Wang, Yuan, Google Research

A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications (Page 1713)

Wang, Yue, University of Michigan

End-to-end Learning for Short Text Expansion (Page 1105)

Wang, Yusu, Ohio State University

Visualizing Attributed Graphs via Terrain Metaphor (Page 1325)

Webb, Jared, Brigham Young University

A Data Science Approach to Understanding Residential Water Contamination in Flint (Page 1407)

Wei, Fan, Stanford University

Graph Edge Partitioning via Neighborhood Heuristic (Page 605)

Wei, Xinyu, STATS

"Not All Passes Are Created Equal:" Objectively Measuring The Risk and Reward of Passes in Soccer from Tracking Data (Page 1605)

"The Leicester City Fairytale?": Utilizing New Soccer Analytics Tools to Compare Performance in the 15/16 & 16/17 EPL Seasons (Page 1991)

Wei, Zhewei, Renmin University of China & Nanyang Technological University

FORA: Simple and Effective Approximate Single-Source Personalized PageRank (Page 505)

Weinsberg, Udi, Facebook & Technicolor

PNP: Fast Path Ensemble Method for Movie Design (Page 1527)

West, Paul, University of Minnesota

Incremental Dual-memory LSTM in Land Cover Prediction (Page 867)

Whang, Steven Euijong, Google Inc.

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform (Page 1387)

Wicke, Martin, Google, Inc.

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks (Page 1763)

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform (Page 1387)

Wiens, Jenna, University of Michigan

Contextual Motifs: Increasing the Utility of Motifs using Contextual Data (Page 155)

Wilkiewicz, Jarek, Google Inc.

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform (Page 1387)

Wimalawarne, Kishan, Kyoto University

Convex Factorization Machine for Toxicogenomics Prediction (Page 1215)

Woods, Bronwyn, Turnitin

Formative Essay Feedback Using Predictive Scoring Models (Page 2071)

Wu, Fei, The Pennsylvania State University

Structural Event Detection from Log Messages (Page 1175)

Wu, Guobin, Didi Research Institute, Didi Chuxing

A Taxi Order Dispatch Model based On Combinatorial Optimization (Page 2151)

Wu, Jun, Huawei Nanjing Research and Development Center

FLAP: An End-to-End Event Log Analysis Platform for System Management (Page 1547)

Wu, Junjie, Beihang University

No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods (Page 1673)

Wu, Le, Hefei University of Technology

Tracking the Dynamics in Crowdfunding (Page 625)

Wu, Liwei, University of California, Davis

Large-scale Collaborative Ranking in Near-Linear Time (Page 515)

Wu, Tao, Purdue University

Retrospective Higher-Order Markov Processes for User Trails (Page 1185)

Wu, Tianyi, University of Tokyo

Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models (Page 1165)

Wu, Xintao, University of Arkansas

Achieving Non-Discrimination in Data Release (Page 1335)

Wu, Yongkai, University of Arkansas

Achieving Non-Discrimination in Data Release (Page 1335)

Wunnava, Susmitha, Worcester Polytechnic Institute

MARAS: Signaling Multi-Drug Adverse Reactions (Page 1615)

Xia, Bin, Nanjing University of Posts and Telecommunications

FLAP: An End-to-End Event Log Analysis Platform for System Management (Page 1547)

Xia, Cassandra, Google, Inc.

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks (Page 1763)

Xiao, Cao, IBM T. J. Watson Research Center

Patient Subtyping via Time-Aware LSTM Networks (Page 65)

Xiao, Fei, Alibaba Group

Cascade Ranking for Operational E-commerce Search (Page 1557)

Xiao, Houping, SUNY Buffalo & T.J. Watson Research Center

Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data (Page 2081)

Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources (Page 967)

Xiao, Wei, SAS Institute Inc.

Prognosis and Diagnosis of Parkinson's Disease Using Multi-Task Learning (Page 1457)

Xiao, Xiaokui, Nanyang Technological University

FORA: Simple and Effective Approximate Single-Source Personalized PageRank (Page 505)

Xie, Jianwei, Google, Inc.

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks (Page 1763)

Xie, Liyang, Michigan State University

Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates (Page 1195)

Xie, Xing, Microsoft Research

Discrete Content-aware Matrix Factorization (Page 325)

Xing, Eric P., Carnegie Mellon University & Petuum Inc.

Efficient Correlated Topic Modeling with Topic Embedding (Page 225)

PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification (Page 545)

Randomization or Condensation? Linear-Cost Matrix Sketching Via Cascaded Compression Sampling (Page 615)

Xing, Xinyu, The Pennsylvania State University

Adversary Resistant Deep Neural Networks with an Application to Malware Detection (Page 1145)

Xing, Zhengming, Criteo Labs

Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data (Page 1205)

Xiong, Hui, Rutgers University

A Data-driven Process Recommender Framework (Page 2111)

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users (Page 1135)

Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams (Page 335)

Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion (Page 957)

Point-of-Interest Demand Modeling with Human Mobility Patterns (Page 947)

Prospecting the Career Development of Talents: A Survival Analysis Perspective (Page 917)

Randomization or Condensation? Linear-Cost Matrix Sketching Via Cascaded Compression Sampling (Page 615)

REMIX: Automated Exploration for Interactive Outlier Detection (Page 827)

Xiong, Zhang, Beihang University

No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods (Page 1673)

Xu, Chang, University of Sydney

Learning from Multiple Teacher Networks (Page 1285)

Xu, Chao, Peking University

Learning from Multiple Teacher Networks (Page 1285)

Xu, Jian, Nanjing University of Science and Technology

STAR: A System for Ticket Analysis and Resolution (Page 2181)

Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks (Page 807)

Xu, Jingwei, Nanjing University

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems (Page 525)

Xu, Ya, LinkedIn

Detecting Network Effects: Randomizing Over Randomized Experiments (Page 1027)

Xue, Li, Huawei Nanjing Research and Development Center

FLAP: An End-to-End Event Log Analysis Platform for System Management (Page 1547)

Xue, Wei, Florida International University

STAR: A System for Ticket Analysis and Resolution (Page 2181)

Xun, Guangxu, SUNY at Buffalo

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts (Page 535)

Ya. Grabarnik, Genady, St. John's University, Queens

STAR: A System for Ticket Analysis and Resolution (Page 2181)

Yadav, Ishadutta, Adap.tv

Ad Serving with Multiple KPIs (Page 1853)

Yamada, Makoto, RIKEN AIP, JST PRESTO

Convex Factorization Machine for Toxicogenomics Prediction (Page 1215)

Yamanishi, Kenji, University of Tokyo

Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models (Page 1165)

Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes (Page 2041)

Yan, He, AT&T Labs

AESOP: Automatic Policy Learning for Predicting and Mitigating Network Service Impairments (Page 1783)

Yan, Yizhou, Worcester Polytechnic Institute

Distributed Local Outlier Detection in Big Data (Page 1225)

Yan, Yizhou, Worcester Polytechnic Institute

Scalable Top-n Local Outlier Detection (Page 1235)

Yanase, Toshihiko, Hitachi, Ltd.

Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention (Page 2031)

Yang, Carl, University of Illinois, Urbana Champaign

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation (Page 1245)

Yang, De-Nian, Academia Sinica

On Finding Socially Tenuous Groups for Online Social Networks (Page 415)

Yang, Fan, eBay Inc.

Visual Search at eBay (Page 2101)

Yang, Hongxia, Alibaba Group

A Hybrid Framework for Text Modeling with Convolutional RNN (Page 2061)

Yang, Hongxia, Alibaba Group

Local Algorithm for User Action Prediction Towards Display Ads (Page 2091)

Yang, Ming, Yahoo

A Practical Exploration System for Search Advertising (Page 1625)

Yang, Pei, South China University of Technology & Arizona State University

Multi-task Function-on-function Regression with Co-grouping Structured Sparsity (Page 1255)

Yang, Qiang, 4Paradigm Inc. & Hong Kong University of Science and Technology

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms (Page 1653)

Yang, Renchi, Nanyang Technological University

FORA: Simple and Effective Approximate Single-Source Personalized PageRank (Page 505)

Yang, Sen, Rutgers University

A Data-driven Process Recommender Framework (Page 2111)

Yang, Shiqiang, Tsinghua University

A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics (Page 1295)

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing (Page 265)

Yang, Xinxing, Ant Financial Services Group

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial (Page 1693)

Yang, Yang, Beihang University

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning (Page 345)

Yang, Yi, University of Technology Sydney

Robust Top-k Multiclass SVM for Visual Category Recognition (Page 75)

Yang, Yin, Hamad Bin Khalifa University

FORA: Simple and Effective Approximate Single-Source Personalized PageRank (Page 505)

Yao, Quanming, Hong Kong University of Science and Technology

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks (Page 635)

Yao, Yuan, Nanjing University

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems (Page 525)

Yarkoni, Tal, University of Texas at Austin

Developing a Comprehensive Framework for Multimodal Feature Extraction (Page 1567)

Yates, Jennifer, AT&T Labs

AESOP: Automatic Policy Learning for Predicting and Mitigating Network Service Impairments (Page 1783)

Ye, Jieping, Didi Research Institute, Didi Chuxing

A Taxi Order Dispatch Model based On Combinatorial Optimization (Page 2151)

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning (Page 345)

Randomization or Condensation? Linear-Cost Matrix Sketching Via Cascaded Compression Sampling (Page 615)

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms (Page 1653)

Ye, Wei, Ludwig-Maximilians-Universität München

Learning from Labeled and Unlabeled Vertices in Networks (Page 1265)

Towards an Optimal Subspace for K-Means (Page 365)

Ye, Yanfang, West Virginia University

HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network (Page 1507)

Yegneswaran, Vinod, SRI International

Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem (Page 1793)

Yehezkel, Aviv, Technion

A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection (Page 95)

Yen, Ian E.H., Carnegie Mellon University

PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification (Page 545)

Yi, Dongyun, National University of Defense Technology

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning (Page 345)

Yildirim, Mehmet Yigit, Arizona State University

A Local Algorithm for Structure-Preserving Graph Cut (Page 655)

Yilmaz, Emre, Bilkent University

Predicting Optimal Facility Location without Customer Locations (Page 2121)

Yin, Hao, Stanford University

Local Higher-Order Graph Clustering (Page 555)

Yin, Hongzhi, University of Queensland

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users (Page 1135)

Yin, Peifeng, IBM Almaden Research Center

Small Batch or Large Batch? Gaussian Walk with Rebound Can Teach (Page 1275)

Yin, Zi, Stanford University & Microsoft

DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks (Page 2131)

Yip, Wei Luen James, National University Health System

Resolving the Bias in Electronic Medical Records (Page 2171)

You, Quanzeng, University of Rochester

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks (Page 1903)

You, Shan, Peking University

Learning from Multiple Teacher Networks (Page 1285)

Yu, Bin, University of California, Berkeley

Three Principles of Data Science: Predictability, Stability and Computability (Page 5)

Yu, Dong, Microsoft Corporation

Deep Embedding Forest: Forest-based Serving with Deep Embedding Features (Page 1703)

Yu, Hwanjo, Pohang University of Science and Technology

Federated Tensor Factorization for Computational Phenotyping (Page 887)

Yu, Jin, Alibaba Cloud

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial (Page 1693)

Yu, Lantao, Shanghai Jiao Tong University

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (Page 2051)

Yu, Linyun, Tsinghua University

A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics (Page 1295)

Yu, Philip S., Tsinghua University & University of Illinois at Chicago

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection (Page 747)

Structural Deep Brain Network Mining (Page 475)

Yu, Shipeng, LinkedIn

Chairs' Welcome Message

Yu, Xin, University of Utah

Compass: Spatio Temporal Sentiment Analysis of US Election: What Twitter Says! (Page 1585)

Yu, Yao-Liang, University of Waterloo

Robust Top-k Multiclass SVM for Visual Category Recognition (Page 75)

Yu, Yong, Shanghai Jiao Tong University

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (Page 2051)

Yuan, Quan, University of Illinois, Urbana Champaign

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation (Page 1245)

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams (Page 595)

Zaki, Mohammed J., Rensselaer Polytechnic Institute

KATE: K-Competitive Autoencoder for Text (Page 85)

Zang, Chengxi, Tsinghua University

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity (Page 565)

Zeng, Chunqiu, Florida International University

FLAP: An End-to-End Event Log Analysis Platform for System Management (Page 1547)

STAR: A System for Ticket Analysis and Resolution (Page 2181)

Zeng, Yifan, Alibaba Group

Optimized Cost per Click in Taobao Display Advertising (Page 2191)

Zeng, Yongbo, Adap.tv

Ad Serving with Multiple KPIs (Page 1853)

Zha, Hongyuan, Georgia Institute of Technology

Recurrent Poisson Factorization for Temporal Recommendation (Page 847)

Zha, Tiantian, Verily Inc.

Learning to Count Mosquitoes for the Sterile Insect Technique (Page 1943)

Zhan, Liang, University of Wisconsin-Stout

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization (Page 1155)

Zhan, Wang, Southeast University & Ministry of Education

Inductive Semi-supervised Multi-Label Learning with Co-Training (Page 1305)

Zhang, Aidong, SUNY at Buffalo

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts (Page 535)

Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources (Page 967)

Zhang, Chao, University of Illinois, Urbana Champaign

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation (Page 1245)

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams (Page 595)

Zhang, Chenwei, University of Illinois at Chicago

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection (Page 747)

Zhang, Chenzi, University of Hong Kong & Noah's Ark Lab

Graph Edge Partitioning via Neighborhood Heuristic (Page 605)

Zhang, Daniel T., University of Michigan

A Data Science Approach to Understanding Residential Water Contamination in Flint (Page 1407)

Zhang, Haoyu, Indiana University Bloomington

EmbedJoin: Efficient Edit Similarity Joins via Embeddings (Page 585)

Zhang, Hefu, University of Science and Technology of China

Tracking the Dynamics in Crowdfunding (Page 625)

Zhang, Jiajin, HUAWEI

Extremely Fast Decision Tree Mining for Evolving Data Streams (Page 1733)

Zhang, Jianfeng, Huawei Technologies

An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis (Page 1951)

Extremely Fast Decision Tree Mining for Evolving Data Streams (Page 1733)

Zhang, Jie, Fudan University

Randomization or Condensation? Linear-Cost Matrix Sketching Via Cascaded Compression Sampling (Page 615)

Zhang, Junying, Didi Research Institute, Didi Chuxing

A Taxi Order Dispatch Model based On Combinatorial Optimization (Page 2151)

Zhang, Kai, Temple University

Randomization or Condensation? Linear-Cost Matrix Sketching Via Cascaded Compression Sampling (Page 615)

Zhang, Kaixuan, The Pennsylvania State University

Adversary Resistant Deep Neural Networks with an Application to Malware Detection (Page 1145)

Zhang, Keli, Huawei Technologies

An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis (Page 1951)

Zhang, Liang, Huawei Nanjing Research and Development Center

FLAP: An End-to-End Event Log Analysis Platform for System Management (Page 1547)

LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace (Page 1397)

Zhang, Liheng, University of Central Florida

Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (Page 2141)

Zhang, Lingyu, Didi Research Institute, Didi Chuxing

A Taxi Order Dispatch Model based On Combinatorial Optimization (Page 2151)

Zhang, Lu, University of Arkansas

Achieving Non-Discrimination in Data Release (Page 1335)

Zhang, Min-Ling, Southeast University & Collaborative Innovation Center of Wireless Communications Technology

Inductive Semi-supervised Multi-Label Learning with Co-Training (Page 1305)

Zhang, Muhan, Washington University in St. Louis

Weisfeiler-Lehman Neural Machine for Link Prediction (Page 575)

Zhang, Qin, Indiana University Bloomington

EmbedJoin: Efficient Edit Similarity Joins via Embeddings (Page 585)

Zhang, Ruofei, Microsoft

DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks (Page 2131)

Zhang, Si, Arizona State University

A Local Algorithm for Structure-Preserving Graph Cut (Page 655)

FIRST: Fast Interactive Attributed Subgraph Matching (Page 1447)

Zhang, Tianyang, Tsinghua University

A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics (Page 1295)

Zhang, Weinan, Shanghai Jiao Tong University

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (Page 2051)

Zhang, Weizhong, Zhejiang University

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning (Page 345)

Zhang, Xi, Cornell University

Patient Subtyping via Time-Aware LSTM Networks (Page 65)

Zhang, Xin, Google Inc.

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform (Page 1387)

Zhang, Yang, Ohio State University

Visualizing Attributed Graphs via Terrain Metaphor (Page 1325)

Zhang, Yi, Microsoft Corporation

Deep Embedding Forest: Forest-based Serving with Deep Embedding Features (Page 1703)

Zhang, Yutao, Tsinghua University

LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity (Page 1315)

Zhang, Zhe, Carnegie Mellon University

A Quasi-experimental Estimate of the Impact of P2P Transportation Platforms on Urban Consumer Patterns (Page 1683)

Zhao, Hongke, University of Sci. and Tech. of China

Prospecting the Career Development of Talents: A Survival Analysis Perspective (Page 917)

Tracking the Dynamics in Crowdfunding (Page 625)

Zhao, Huan, Hong Kong University of Science and Technology

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks (Page 635)

Zhao, Peilin, Ant Financial Services Group

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial (Page 1693)

Zheng, Guanjie, Pennsylvania State University

Contextual Spatial Outlier Detection with Metric Learning (Page 2161)

Zheng, Kai, University of Electronic Science and Technology of China

Discrete Content-aware Matrix Factorization (Page 325)

End-to-end Learning for Short Text Expansion (Page 1105)

Zheng, Kaiping, National University of Singapore

Resolving the Bias in Electronic Medical Records (Page 2171)

Zheng, Lei, University of Illinois at Chicago

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection (Page 747)

Zheng, Yan, University of Utah

Coresets for Kernel Regression (Page 645)

Zheng, Yu, Microsoft Research

Planning Bike Lanes based on Sharing-Bikes' Trajectories (Page 1377)

Zhou, Chong, Worcester Polytechnic Institute

Anomaly Detection with Robust Deep Autoencoders (Page 665)

Zhou, Dawei, Arizona State University

A Local Algorithm for Structure-Preserving Graph Cut (Page 655)

Zhou, Jiayu, Michigan State University

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization (Page 1155)

Patient Subtyping via Time-Aware LSTM Networks (Page 65)

Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates (Page 1195)

Zhou, Jing, Conduent Labs US

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks (Page 1903)

Zhou, Jun, Ant Financial Services Group

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial (Page 1693)

Zhou, Linfei, Ludwig-Maximilians-Universität München

Learning from Labeled and Unlabeled Vertices in Networks (Page 1265)

Zhou, Wubai, Florida International University

FLAP: An End-to-End Event Log Analysis Platform for System Management (Page 1547)

STAR: A System for Ticket Analysis and Resolution (Page 2181)

Zhou, Yichen, Rutgers University

A Data-driven Process Recommender Framework (Page 2111)

Zhou, Zimu, ETH Zurich

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms (Page 1653)

Zhu, Han, Alibaba Group

Optimized Cost per Click in Taobao Display Advertising (Page 2191)

Zhu, Hengshu, Baidu Talent Intelligence Center

Point-of-Interest Demand Modeling with Human Mobility Patterns (Page 947)

Prospecting the Career Development of Talents: A Survival Analysis Perspective (Page 917)

Zhu, Jie, Microsoft Corporation

Deep Embedding Forest: Forest-based Serving with Deep Embedding Features (Page 1703)

Zhu, Michael, Purdue University & Tsinghua University

SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis (Page 857)

Zhu, Wenwu, Tsinghua University

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity (Page 565)

Zhu, Xiaolong, Florida International University

FLAP: An End-to-End Event Log Analysis Platform for System Management (Page 1547)

Zhu, Yada, IBM Research

Local Algorithm for User Action Prediction Towards Display Ads (Page 2091)

Zhuang, Honglei, University of Illinois at Urbana-Champaign

PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks (Page 425)

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams (Page 595)

Zinkevich, Martin, Google Inc.

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform (Page 1387)

Zulueta, John, University of Illinois at Chicago

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection (Page 747)

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