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

Author Index


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

Abens, Rick (Foresight ROI, Inc.)
	Applied Data Science Track~ SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine

Achananuparp, Palakorn (Singapore Management University)
	Applied Data Science Track~ FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging

Adhikari, Bijaya (Virginia Tech)
	Research Track~ EpiDeep: Exploiting Embeddings for Epidemic Forecasting

Agarwal, Deepak (LinkedIn)
	Tutorial~ Deep Natural Language Processing for Search and Recommender Systems

Aggarwal, Charu (IBM Research)
	Research Track~ Efficient Global String Kernel with Random Features: Beyond Counting Substructures
	Research Track~ Graph Convolutional Networks with EigenPooling
	Research Track~ Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

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

Aharon, Michal (Yahoo Research)
	Applied Data Science Track~ Carousel Ads Optimization in Yahoo Gemini Native

Ahmadian, Sara (Google Research)
	Research Track~ Clustering without Over-Representation

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

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

Akiba, Takuya (Preferred Networks, Inc.)
	Applied Data Science Track~ Chainer: A Deep Learning Framework for Accelerating the Research Cycle
	Applied Data Science Track~ Optuna: A Next-generation Hyperparameter Optimization Framework

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

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Aliamiri, Alireza (Samsung Strategy and Innovation Center)
	Applied Data Science Track~ Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning

Ambler, Stuart (LinkedIn Corporation)
	Applied Data Science Track~ Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search

Amelkin, Victor (University of Pennsylvania)
	Research Track~ Fighting Opinion Control in Social Networks via Link Recommendation

Amer-Yahia, Sihem (University Grenoble Alpes, CNRS)
	Research Track~ Optimizing Peer Learning in Online Groups with Affinities

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

An, Mingxiao (University of Science and Technology of China)
	Applied Data Science Track~ NPA: Neural News Recommendation with Personalized Attention

Anastasiu, David C. (San José State University)
	Tutorial~ Tutorial: Are You My Neighbor? Bringing Order to Neighbor Computing Problems.

Anil, Rohan (Google)
	Applied Data Science Track~ TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank

Anwar, Saadat (Arizona State University)
	Applied Data Science Track~ Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft

Arias-Castro, Ery (University of California San Diego)
	Research Track~ A Multiscale Scan Statistic for Adaptive Submatrix Localization

Arora, Neha (Google Research)
	Applied Data Science Track~ Hard to Park? Estimating Parking Difficulty at Scale

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

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Avati, Anand (Stanford University)
	Applied Data Science Track~ Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning

Avdiukhin, Dmitrii (Indiana University)
	Research Track~ Adversarially Robust Submodular Maximization under Knapsack Constraints

Aydin, Kevin (Google Research)
	Applied Data Science Track~ Randomized Experimental Design via Geographic Clustering

Babaev, Dmitrii (Sberbank AI Lab)
	Applied Data Science Track~ E.T.-RNN: Applying Deep Learning to Credit Loan Applications

Bagheri, Ebrahim (Ryerson University)
	Tutorial~ Social User Interest Mining: Methods and Applications

Bai, Joey (LinkedIn)
	Applied Data Science Track~ Social Skill Validation at LinkedIn

Bailey, James (University of Melbourne)
	Research Track~ Improving the Quality of Explanations with Local Embedding Perturbations

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

Bakshy, Eytan (Facebook)
	Applied Data Science Track~ Shrinkage Estimators in Online Experiments

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

Bao, Jie (JD Intelligent Cities Research)
	Applied Data Science Track~ TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme

Bao, Zhifeng (RMIT University)
	Research Track~ Optimizing Impression Counts for Outdoor Advertising

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

Barrow-Williams, Nick (Airbnb Inc.)
	Applied Data Science Track~ Applying Deep Learning to Airbnb Search

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

Basu Roy, Senjuti (New Jersey Institute of Technology)
	Research Track~ Optimizing Peer Learning in Online Groups with Affinities

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

Belletti, Francois (Google Research)
	Research Track~ Quantifying Long Range Dependence in Language and User Behavior to improve RNNs

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Ben Taieb, Souhaib (University of Mons & Monash University)
	Research Track~ Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions

Bendersky, Michael (Google)
	Applied Data Science Track~ TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank

Bendimerad, Anes (University of Lyon)
	Research Track~ Contrastive Antichains in Hierarchies

Bengio, Samy (Google Research)
	Research Track~ Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Benson, Austin R. (Cornell University)
	Research Track~ Graph-based Semi-Supervised & Active Learning for Edge Flows
	Research Track~ Network Density of States

Bento, José (Boston College)
	Applied Data Science Track~ Estimating Cellular Goals from High-Dimensional Biological Data

Bernardi, Lucas (Booking.com)
	Applied Data Science Track~ 150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com

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

Bhamidipati, Narayan (Yahoo Research)
	Applied Data Science Track~ Understanding Consumer Journey using Attention based Recurrent Neural Networks

Bhatia, Tarun (Yahoo Research)
	Applied Data Science Track~ Understanding Consumer Journey using Attention based Recurrent Neural Networks

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

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

Biega, Asia J. (Microsoft Research)
	Applied Data Science Track~ Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform

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

Bijral, Avleen S. (Microsoft)
	Research Track~ On Dynamic Network Models and Application to Causal Impact

Bilenko, Mikhail (Yandex)
	Applied Data Science Track~ Machine Learning at Microsoft with ML.NET

Bindel, David (Cornell University)
	Research Track~ Network Density of States

Bird, Sarah (Microsoft)
	Tutorial~ Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned

Biswas, Ari (Amazon)
	Applied Data Science Track~ Seeker: Real-Time Interactive Search

Bo, Rui (Missouri University of Sci. and Tech.)
	Research Track~ Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning

Böhm, Klemens (Karlsruhe Institute of Technology)
	Research Track~ Scaling Multi-Armed Bandit Algorithms

Borcea, Cristian (New Jersey Institute of Technology)
	Applied Data Science Track~ Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising

Borisyuk, Fedor (Facebook Inc.)
	Applied Data Science Track~ MSURU: Large Scale E-commerce Image Classification With Weakly Supervised Search Data

Bot, Brian M. (Sage Bionetworks)
	Research Track~ A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health

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Böttinger, Konstantin (Fraunhofer AISEC)
	Applied Data Science Track~ Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy

Bradley, Joseph (Databricks, Inc.)
	Applied Data Science Invited Talk~ Addressing Challenges in Data Science: Scale, Skill Sets and Complexity

Bransen, Lotte (SciSports)
	Applied Data Science Track~ Actions Speak Louder than Goals: Valuing Player Actions in Soccer

Bruch, Sebastian (Google)
	Applied Data Science Track~ TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank

Budden, David (DeepMind)
	Applied Data Science Track~ A Generalized Framework for Population Based Training

Burke, Marshall (Stanford University)
	Applied Data Science Track~ Predicting Economic Development using Geolocated Wikipedia Articles

Bushmarinov, Ivan (Yandex)
	Applied Data Science Track~ Precipitation Nowcasting with Satellite Imagery

Caceres, Rajmonda (MIT Lincoln Laboratory)
	Tutorial~ Incompleteness in Networks: Biases, Skewed Results, and Some Solutions

Cai, Deng (Zhejiang University)
	Research Track~ A Minimax Game for Instance based Selective Transfer Learning
	Research Track~ AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization

Cai, Zekun (The University of Tokyo)
	Applied Data Science Track~ DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events

Cameron, Marissa (California Institute of Technology)
	Applied Data Science Track~ Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft

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Campbell, John Peter (Oregon Health & Science University)
	Applied Data Science Track~ A Severity Score for Retinopathy of Prematurity

Cao, Jie (Nanjing University of Finance and Economics)
	Research Track~ Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning

Cao, Yixin (National University of Singapore)
	Research Track~ KGAT: Knowledge Graph Attention Network for Recommendation

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

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

Caruana, Rich (Microsoft Research)
	Research Track~ Axiomatic Interpretability for Multiclass Additive Models

Caruana, Richard (Microsoft)
	Applied Data Science Invited Talk~ Friends Don’t Let Friends Deploy Black-Box Models:The Importance of Intelligibility in Machine Learning

Cautis, Bogdan (LRI, Université Paris-Sud)
	Tutorial~ Adaptive Influence Maximization

Cen, Yukuo (Tsinghua University)
	Research Track~ Representation Learning for Attributed Multiplex Heterogeneous Network

Cha, Meeyoung (IBS & KAIST)
	Applied Data Science Track~ Learning Sleep Quality from Daily Logs

Chaibub Neto, Elias (Sage Bionetworks)
	Research Track~ A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health

Chajewska, Urszula (Microsoft)
	Research Track~ Axiomatic Interpretability for Multiclass Additive Models

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Chakraborty, Abhijnan (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

Chakraborty, Prithwish (IBM)
	Applied Data Science Track~ A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR

Chakraborty, Srija (Arizona State University)
	Applied Data Science Track~ Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft

Chandrasekaran, Ranganathan (University of Illinois at Chicago)
	Applied Data Science Track~ SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine

Chang, Jun (Wuhan University)
	Research Track~ DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation

Chang, Keng-hao (Microsoft)
	Applied Data Science Track~ Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning

Chang, Lijun (The University of Sydney)
	Research Track~ Efficient Maximum Clique Computation over Large Sparse Graphs

Chang, Shiyu (MIT-IBM Watson AI Lab, IBM Research)
	Research Track~ Coupled Variational Recurrent Collaborative Filtering

Chaoji, Vineet (Amazon)
	Applied Data Science Track~ Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition

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

Chawla, Nitesh V. (University of Notre Dame)
	Research Track~ Heterogeneous Graph Neural Network
	Research Track~ The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model
	Research Track~ TUBE: Embedding Behavior Outcomes for Predicting Success
	Applied Data Science Track~ Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics

Chawla, Sanjay (Qatar Computing Research Institute)
	Research Track~ Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios

Chellapilla, Kumar (Lyft)
	Applied Data Science Invited Talk~ Building a Better Self-Driving Car: Hardware, Software, and Knowledge

Chen, Bee-Chung (LinkedIn)
	Tutorial~ Deep Natural Language Processing for Search and Recommender Systems

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Chen, Bei (Microsoft Research)
	Research Track~ ?Opt: Learn to Regularize Recommender Models in Finer Levels

Chen, Boqi (Boston University & Tsinghua University)
	Research Track~ Focused Context Balancing for Robust Offline Policy Evaluation

Chen, Chacha (Shanghai Jiao Tong University)
	Research Track~ PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network

Chen, Chi (Tsinghua University)
	Applied Data Science Track~ Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction

Chen, Enhong (University of Science and Technology of China)
	Research Track~ Exploiting Cognitive Structure for Adaptive Learning
	Research Track~ MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
	Research Track~ QuesNet: A Unified Representation for Heterogeneous Test Questions

Chen, Feng (University at Albany, SUNY)
	Research Track~ Dual Averaging Method for Online Graph-structured Sparsity
	Tutorial~ Spatio-temporal Event Forecasting and Precursor Identification

Chen, Ge (Tencent)
	Applied Data Science Track~ Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework

Chen, Guangde (LinkedIn Corporation)
	Applied Data Science Track~ Internal Promotion Optimization

Chen, Guihai (Shanghai Jiao Tong University)
	Research Track~ Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination

Chen, Haipeng (Dartmouth College)
	Applied Data Science Track~ Using Twitter to Predict When Vulnerabilities will be Exploited

Chen, Haiyan (Nanjing University of Aeronautics and Astronautics)
	Research Track~ Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning

Chen, Haolan (Tencent)
	Applied Data Science Track~ A Deep Generative Approach to Search Extrapolation and Recommendation

Chen, Hongxu (University of Queensland)
	Research Track~ Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling

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Chen, Hongzhi (The Chinese University of Hong Kong)
	Research Track~ A Representation Learning Framework for Property Graphs

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

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

Chen, Jiming (Zhejiang University)
	Applied Data Science Track~ Personalized Attraction Enhanced Sponsored Search with Multi-task Learning

Chen, Junxiang (Northeastern University)
	Applied Data Science Track~ Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data -- An Application to Climate Prediction

Chen, Lei (The Hong Kong University of Science and Technology)
	Research Track~ Relation Extraction via Domain-aware Transfer Learning
	Research Track~ Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms

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

Chen, Lei (Hong Kong University of Science and Technology)
	Applied Data Science Track~ A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry

Chen, Lisi (Inception Institute of Artificial Intelligence)
	Research Track~ Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation

Chen, Mia Xu (Google)
	Applied Data Science Track~ Gmail Smart Compose: Real-Time Assisted Writing

Chen, Minmin (Google Research)
	Research Track~ Quantifying Long Range Dependence in Language and User Behavior to improve RNNs

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

Chen, Peixuan (Tencent)
	Research Track~ Focused Context Balancing for Robust Offline Policy Evaluation

Chen, Pin-Yu (IBM Research)
	Tutorial~ Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning

Chen, Qibin (Tsinghua University)
	Applied Data Science Track~ Towards Knowledge-Based Personalized Product Description Generation in E-commerce

Chen, Richard (Apple Inc.)
	Applied Data Science Track~ Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams

Chen, Tong (The University of Queensland)
	Research Track~ Streaming Session-based Recommendation

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Chen, Wei (Microsoft Research)
	Research Track~ Factorization Bandits for Online Influence Maximization

Chen, Wen (Alibaba Group)
	Applied Data Science Track~ POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

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

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

Chen, Yi (New Jersey Institute of Technology)
	Applied Data Science Track~ Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising

Chen, Yihong (Tsinghua University & Microsoft Research)
	Research Track~ ?Opt: Learn to Regularize Recommender Models in Finer Levels

Chen, Yu-Chia (University of Washington)
	Research Track~ On Dynamic Network Models and Application to Causal Impact

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

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

Cheng, Hong (The Chinese University of Hong Kong)
	Research Track~ Predicting Path Failure In Time-Evolving Graphs

Cheng, James (The Chinese University of Hong Kong)
	Research Track~ A Representation Learning Framework for Property Graphs

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

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

Cheng, Yurong (Beijing Institute of Technology)
	Research Track~ Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms

Chenreddy, Abhilash Reddy (University of Illinois at Chicago)
	Applied Data Science Track~ SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine

Chi, Ed H. (Google Research)
	Research Track~ Quantifying Long Range Dependence in Language and User Behavior to improve RNNs

Chi, Ed H. (Google)
	Applied Data Science Track~ Fairness in Recommendation Ranking through Pairwise Comparisons

Chiang, Michael F. (Oregon Health & Science University)
	Applied Data Science Track~ A Severity Score for Retinopathy of Prematurity

Chiang, Wei-Lin (National Taiwan University & Google Research)
	Research Track~ Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

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

Chin, Wei-Sheng (Microsoft)
	Applied Data Science Track~ Machine Learning at Microsoft with ML.NET

Cho, Hyunsouk (NCSOFT Co.)
	Research Track~ MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation

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

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Choudhary, Vinod (RNTCP, Mumbai)
	Applied Data Science Track~ Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data

Chowdhury, Farhan Asif (University of New Mexico)
	Applied Data Science Track~ Structured Noise Detection: Application on Well Test Pressure Derivative Data

Christin, Nicolas (Carnegie Mellon University)
	Applied Data Science Track~ Adversarial Matching of Dark Net Market Vendor Accounts

Chua, Tat-Seng (National University of Singapore)
	Research Track~ KGAT: Knowledge Graph Attention Network for Recommendation

Chung, Daewon (Korea Aerospace Research Institute (KARI))
	Applied Data Science Track~ Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA

Chung, Sehee (NCSOFT Co.)
	Research Track~ MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation

Chung, Yu-An (Massachusetts Institute of Technology)
	Applied Data Science Track~ Unsupervised Clinical Language Translation

Cohen, Judah (Atmospheric and Environmental Research)
	Applied Data Science Track~ Improving Subseasonal Forecasting in the Western U.S. with Machine Learning

Collins, Brendan M. (Airbnb Inc.)
	Applied Data Science Track~ Applying Deep Learning to Airbnb Search

Cong, Gao (Nanyang Technological University)
	Research Track~ Effective and Efficient Sports Play Retrieval with Deep Representation Learning

Cook, James (Google Research)
	Applied Data Science Track~ Hard to Park? Estimating Parking Difficulty at Scale

Cudre-Mauroux, Philippe (University of Fribourg)
	Research Track~ NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

Cui, Bin (Peking University)
	Applied Data Science Track~ Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior

Cui, Limeng (Penn State University)
	Research Track~ dEFEND: Explainable Fake News Detection

Cui, Lizhen (Shandong University)
	Research Track~ Enhancing Collaborative Filtering with Generative Augmentation

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Cui, Peng (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~ Focused Context Balancing for Robust Offline Policy Evaluation
	Research Track~ Robust Graph Convolutional Networks Against Adversarial Attacks
	Research Track~ Uncovering Pattern Formation of Information Flow
	Applied Data Science Track~ MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games
	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

Cui, Yong (Tsinghua University)
	Applied Data Science Track~ Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study

Cui, Yue (University of Electronic Science and Technology of China)
	Research Track~ Hidden POI Ranking with Spatial Crowdsourcing

Dai, Andrew M. (Google)
	Applied Data Science Track~ Gmail Smart Compose: Real-Time Assisted Writing

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

Dalibard, Valentin (DeepMind)
	Applied Data Science Track~ A Generalized Framework for Population Based Training

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

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

Daubar, Ingrid (California Institute of Technology)
	Applied Data Science Track~ Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft

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Davies, Ashley (California Institute of Technology)
	Applied Data Science Track~ Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft

Davis, Jesse (KU Leuven)
	Applied Data Science Track~ Actions Speak Louder than Goals: Valuing Player Actions in Soccer

De Bie, Tijl (Ghent University)
	Research Track~ Contrastive Antichains in Hierarchies

Decroos, Tom (KU Leuven)
	Applied Data Science Track~ Actions Speak Louder than Goals: Valuing Player Actions in Soccer

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

Demiralp, Çagatay (Megagon Labs)
	Research Track~ Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Deng, Liwei (University of Electronic Science and Technology of China)
	Research Track~ Hidden POI Ranking with Spatial Crowdsourcing

Deng, Songgaojun (Stevens Institute of Technology)
	Research Track~ Learning Dynamic Context Graphs for Predicting Social Events

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

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Deng, Yuan (Duke University)
	Research Track~ Testing Dynamic Incentive Compatibility in Display Ad Auctions

Deshpande, Prathamesh (IIT Bombay)
	Research Track~ Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units

deWet, Stephanie (Pinterest)
	Applied Data Science Track~ Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences

Dey, Sanjoy (IBM T. J. Watson Research Center)
	Research Track~ PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data

Di, Shimin (The Hong Kong University of Science and Technology)
	Research Track~ Relation Extraction via Domain-aware Transfer Learning

Dilkina, Bistra (University of Southern California)
	Applied Data Science Track~ Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data

Dimmery, Drew (Facebook)
	Applied Data Science Track~ Shrinkage Estimators in Online Experiments

Ding, Bailu (Microsoft Research)
	Research Track~ Fast Approximation of Empirical Entropy via Subsampling

Ding, Daizong (Fudan University)
	Research Track~ Modeling Extreme Events in Time Series Prediction

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Ding, Weicong (Amazon.com)
	Applied Data Science Track~ Whole Page Optimization with Global Constraints

Ding, Weitian (Allen) (Carnegie Mellon University)
	Applied Data Science Track~ Semantic Product Search

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

Ding, Zhuoye (JD.com)
	Applied Data Science Track~ Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

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

Dittrich, Jens (Saarland Informatics Campus)
	Applied Data Science Track~ The Error is the Feature: How to Forecast Lightning using a Model Prediction Error

Dmitriev, Pavel (Outreach.io)
	Applied Data Science Track~ Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners
	Tutorial~ Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments

Do, Kien (Deakin University)
	Research Track~ Graph Transformation Policy Network for Chemical Reaction Prediction

Dobrev, Dobri (Tech Yahoo)
	Applied Data Science Track~ Carousel Ads Optimization in Yahoo Gemini Native

Dodge, Hiroko H. (University of Michigan & Oregon Health & Science University)
	Applied Data Science Track~ MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records

Domínguez Conde, Gabriel (Microsoft)
	Applied Data Science Invited Talk~ Preventing Rhino Poaching through Machine Learning

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Donato, Katharine (Georgetown University)
	Applied Data Science Track~ Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration

Dong, Kun (Cornell University)
	Research Track~ Network Density of States

Dong, Xin Luna (Amazon)
	Research Track~ Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
	Tutorial~ Data Integration and Machine Learning: A Natural Synergy

Dong, Yuxiao (Microsoft Research)
	Applied Data Science Track~ OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
	Tutorial~ Learning From Networks: Algorithms, Theory, and Applications

Doran, Gary (California Institute of Technology)
	Applied Data Science Track~ Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft

Doron, Michael (Hebrew University of Jerusalem)
	Research Track~ Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models

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

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

Du, Bo (Wuhan University)
	Research Track~ DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation
	Research Track~ Link Prediction with Signed Latent Factors in Signed Social Networks

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

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

Du, Dongfang (Tencent Inc)
	Research Track~ MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

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

Du, Zhengxiao (Tsinghua University)
	Applied Data Science Track~ Sequential Scenario-Specific Meta Learner for Online Recommendation

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

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

Duan, Lu (Zhejiang Cainiao Supply Chain Management Co., Ltd)
	Research Track~ Exact-K Recommendation via Maximal Clique Optimization

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

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

Dy, Jennifer (Northeastern University)
	Applied Data Science Track~ A Severity Score for Retinopathy of Prematurity
	Applied Data Science Track~ Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data -- An Application to Climate Prediction

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

Eliassi-rad, Tina (Northeastern University)
	Tutorial~ Incompleteness in Networks: Biases, Skewed Results, and Some Solutions

Epasto, Alessandro (Google Research)
	Research Track~ Clustering without Over-Representation

Erdogmus, Deniz (Northeastern University)
	Applied Data Science Track~ A Severity Score for Retinopathy of Prematurity

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Ermon, Stefano (Stanford University)
	Applied Data Science Track~ Predicting Economic Development using Geolocated Wikipedia Articles

Esfandiari, Mohammadreza (New Jersey Institute of Technology)
	Research Track~ Optimizing Peer Learning in Online Groups with Affinities

Estevez, Pablo (Booking.com)
	Applied Data Science Track~ 152 Successful Machine Learning Models: 6 Lessons Learned at Booking.com

Fabijan, Aleksander (Microsoft Corporation)
	Applied Data Science Track~ Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners

Fakhry, Carl T. (University of Massachusetts Boston)
	Research Track~ A Free Energy Based Approach for Distance Metric Learning

Faloutsos, Christos (Carnegie Mellon University & Amazon)
	Research Track~ Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
	Research Track~ Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
	Tutorial~ Forecasting Big Time Series: Theory and Practice

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

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

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

Fan, Shaohua (Beijing University of Posts and Telecommunications)
	Applied Data Science Track~ Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

Fang, Chen (ByteDance AI Lab)
	Research Track~ Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit

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Fang, Yuan (Singapore Management University)
	Research Track~ Adversarial Learning on Heterogeneous Information Networks

Fani, Hossein (University of New Brunswick)
	Tutorial~ Social User Interest Mining: Methods and Applications

Farooq, Faisal (IBM)
	Applied Data Science Track~ A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR

Farrahi, Katayoun (University of Southampton)
	Applied Data Science Track~ Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data

Fauvel, Kevin (Universite Rennes, Inria, CNRS, IRISA)
	Applied Data Science Track~ Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection

Faverdin, Philippe (PEGASE, INRA, AGROCAMPUS OUEST)
	Applied Data Science Track~ Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection

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Fawaz, Abdulah (Siemens Healthineers)
	Research Track~ Training and Meta-Training Binary Neural Networks with Quantum Computing

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

Fei, Hongliang (Baidu Research)
	Research Track~ Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction

Feng, Menghong (University of Massachusetts, Amherst)
	Applied Data Science Track~ DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery

Ferres, Juan Lavista (Microsoft)
	Research Track~ On Dynamic Network Models and Application to Causal Impact

Feuerriegel, Stefan (ETH Zurich)
	Applied Data Science Track~ Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching

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

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

Flores, Aaron (Verizon Media)
	Applied Data Science Track~ Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising

Flunkert, Valentin (AWS AI Labs)
	Tutorial~ Forecasting Big Time Series: Theory and Practice

Foschini, Luca (Evidation Health, Inc.)
	Applied Data Science Track~ Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams

Foster, Ian (University of Chicago & Argonne National Lab)
	Applied Data Science Track~ IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery

Fouché, Edouard (Karlsruhe Institute of Technology)
	Research Track~ Scaling Multi-Armed Bandit Algorithms

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

Fromont, Élisa (Universite Rennes, Inria, CNRS, IRISA)
	Applied Data Science Track~ Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection

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

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

Fu, Xin (Facebook)
	Tutorial~ Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments

Fu, Yanjie (Missouri University of Science and Technology)
	Research Track~ Adversarial Substructured Representation Learning for Mobile User Profiling
	Research Track~ Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning
	Research Track~ Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network
	Research Track~ Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning

Fu, Yun (Northeastern University)
	Research Track~ Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit

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