Accepted Papers

Accepted Papers List

Full Papers

  • CBHE: Corner-based Building Height Estimation for Complex Street Scene Images

    Yunxiang Zhao (University of Melbourne, Australia); Jianzhong Qi (University of Melbourne, Australia); Rui Zhang (University of Melbourne, Australia)

  • Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover’s Distance Space

    Changchun Li (Jilin University, China); Jihong Ouyang (Jilin University, China); Ximing Li (Jilin University, China)

  • Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues

    Chris Xiaoxuan Lu (University of Oxford, United Kingdom); Xuan Kan (Tongji University, China); Bowen Du (University of Warwick, United Kingdom); Changhao Chen (University of Oxford, United Kingdom); Hongkai Wen (University of Warwick, United Kingdom); Andrew Markham (University of Oxford, United Kingdom); Niki Trigoni (University of Oxford, United Kingdom); John Stankovic (University of Virginia, United States)

  • Title Generation for Web Tables

    Braden Hancock (Stanford University, United States); Hongrae Lee (Google, United States); Cong Yu (Google, United States)

  • Exploring Perceived Emotional Intelligence of Personality-Driven Virtual Agents in Handling User Challenges

    Xiaojuan Ma (Hong Kong University of Science and Technology, Hong Kong); Emily Yang (Hong Kong University of Science and Technology, Hong Kong); Pascale Fung (Hong Kong University of Science and Technology, Hong Kong)

  • SWeG: Lossless and Lossy Summarization of Tera-Scale Graphs

    Kijung Shin (Carnegie Mellon University, United States); Amol Ghoting (LinkedIn, United States); Myunghwan Kim (LinkedIn, United States); Hema Raghavan (LinkedIn, United States)

  • No Place to Hide: Catching Fraudulent Entities in Tensors

    Yikun Ban (Peking University, China); Xin Liu (Tsinghua University, China); Ling Huang (Fintec.ai, China); Yitao Duan (Netease Youdao, China); Xue Liu (McGill University, Canada); Wei Xu (Tsinghua University, China)

  • Using Variability as a Guiding Principle to Reduce Latency in Web Applications via OS Profiling

    Amoghavarsha Suresh (State University of New York Stony Brook, United States); Anshul Gandhi (State University of New York Stony Brook, United States)

  • Automatic Generation of Pattern-controlled Product Description in E-commerce

    Tao Zhang (Alibaba Group, China); Jin Zhang (Alibaba Group, China); Chengfu Huo (Alibaba Group, China); Weijun Ren (Alibaba Group, China)

  • Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

    Hongwei Wang (Shanghai Jiao Tong University, China); Fuzheng Zhang (Meituan-Dianping, China); Miao Zhao (Hong Kong Polytechnic University, Hong Kong); Wenjie Li (Hong Kong Polytechnic University, Hong Kong); Xing Xie (Microsoft, China); Minyi Guo (Shanghai Jiao Tong University, China)

  • Link Prediction on N-ary Relational Data

    Saiping Guan (Chinese Academy of Sciences, China); Xiaolong Jin (Chinese Academy of Sciences, China); Yuanzhuo Wang (Chinese Academy of Sciences, China); Xueqi Cheng (Chinese Academy of Sciences, China)

  • Adversarial Sampling and Training for Semi-Supervised Information Retrieval

    Dae Hoon Park (Huawei Research America, United States); Yi Chang (Jilin University, China)

  • Learning Travel Time Distributions with Deep Generative Model

    Xiucheng Li (Nanyang Technological University, Singapore); Gao Cong (Nanyang Technological University, Singapore); Aixin Sun (Nanyang Technological University, Singapore); Yun Cheng (ETH Zurich, Switzerland)

  • Estimating Walk-Based Similarities Using Random Walk

    Shogo Murai (University of Tokyo, Japan); Yuichi Yoshida (National Institute of Informatics, Japan)

  • Sensitivity Analysis of Centralities on Unweighted Networks

    Shogo Murai (University of Tokyo, Japan); Yuichi Yoshida (National Institute of Informatics, Japan)

  • DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data

    Jie Feng (Tsinghua University, China); Mingyang Zhang (Tsinghua University, China); Huandong Wang (Tsinghua University, China); Zeyu Yang (Tsinghua University, China); Chao Zhang (University of Illinois Urbana-Champaign, United States); Yong Li (Tsinghua University, China); Depeng Jin (Tsinghua University, China)

  • Knowledge-Enhanced Ensemble Learning for Word Embeddings

    Lanting Fang (Southeast University, China); Yong Luo (Nanyang Technological University, Singapore); Kaiyu Feng (Nanyang Technological University, Singapore); Kaiqi Zhao (Nanyang Technological University, Singapore); Aiqun Hu (Southeast University, China)

  • STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

    Shuochao Yao (University of Illinois Urbana-Champaign, United States); Ailing Piao (University of Washington, United States); Wenjun Jiang (State University of New York Buffalo, United States); Yiran Zhao (University of Illinois Urbana-Champaign, United States); Huajie Shao (University of Illinois Urbana-Champaign, United States); Shengzhong Liu (University of Illinois Urbana-Champaign, United States); Dongxin Liu (University of Illinois Urbana-Champaign, United States); Jinyang Li (University of Illinois Urbana-Champaign, United States); Tianshi Wang (University of Illinois Urbana-Champaign, United States); Shaohan Hu (IBM, United States); Lu Su (State University of New York Buffalo, United States); Jiawei Han (University of Illinois Urbana-Champaign, United States); Tarek Abdelzaher (University of Illinois Urbana-Champaign, United States)

  • Tortoise or Hare? Quantifying the Effects of Performance on Mobile App Retention

    Agustin Zuniga (University of Helsinki, Finland); Huber Flores (University of Helsinki, Finland); Eemil Lagerspetz (University of Helsinki, Finland); Petteri Nurmi (Lancaster University, United Kingdom; University of Helsinki, Finland); Sasu Tarkoma (University of Helsinki, Finland); Pan Hui (University of Helsinki, Finland; Hong Kong University of Science and Technology, Hong Kong); Jukka Manner (Aalto University, Finland)

  • Community detection through likelihood optimization: in search of a sound model

    Liudmila Prokhorenkova (Moscow Institute of Physics and Technology and Yandex, Russia); Alexey Tikhonov (Yandex, Russia)

  • Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal

    Mitchell Gordon (Stanford University, United States); Tim Althoff (Stanford University, United States); Jure Leskovec (Stanford University, United States)

  • Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

    Minne Li (University College London, United Kingdom); Zhiwei Qin (Didi Research America, United States); Yan Jiao (Didi Chuxing, United States); Yaodong Yang (University College London, United Kingdom); Zhichen Gong (University College London, United Kingdom); Jun Wang (University College London, United Kingdom); Chenxi Wang (Didi Research, China); Guobin Wu (Didi Chuxing, China); Jieping Ye (Didi Chuxing, China)

  • RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs

    Yong-Yeon Jo (Hanyang University, South Korea); Myung-Hwan Jang (Hanyang University, South Korea); Sang-Wook Kim (Hanyang University, South Korea); Sunju Park (Yonsei University, South Korea)

  • Who Watches the Watchmen: Exploring Complaints on the Web

    Damilola Ibosiola (Queen Mary University of London, United Kingdom); Ignacio Castro (Queen Mary University of London, United Kingdom); Gianluca Stringhini (Boston University, United States); Steve Uhlig (Queen Mary University of London, United Kingdom); Gareth Tyson (Queen Mary University of London, United Kingdom)

  • A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction

    Chengyu Wang (East China Normal University, China); Yan Fan (East China Normal University, China); Xiaofeng He (East China Normal University, China); Aoying Zhou (East China Normal University, China)

  • Self- and Cross-Excitation in StackExchange Question & Answer Communities

    Tiago Santos (Graz University of Technology, Austria); Simon Walk (Detego GmbH, Austria); Roman Kern (Know-Center GmbH, Austria); Markus Strohmaier (GESIS - Leibniz-Institute for the Social Sciences and RWTH Aachen University, Germany); Denis Helic (Graz University of Technology, Austria)

  • Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems

    Shuai Wang (Southeast University, China); Tian He (University of Minnesota, United States); Desheng Zhang (Rutgers University, United States); Yunhuai Liu (Peking University, China); Sang H. Son (Daegu Gyeongbuk Institute of Science and Technology, South Korea)

  • Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender System

    Qitian Wu (Shanghai Jiao Tong University, China); Hengrui Zhang (Shanghai Jiao Tong University, China); Xiaofeng Gao (Shanghai Jiao Tong University, China); Peng He (Tencent, China); Paul Weng (Shanghai Jiao Tong University, China); Han Gao (Tencent, China); Guihai Chen (Shanghai Jiao Tong University, China)

  • Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks

    Zeyu Cui (Chinese Academy of Sciences, China); Zekun Li (Chinese Academy of Sciences, China); Shu Wu (Chinese Academy of Sciences, China); Xiao-Yu Zhang (Chinese Academy of Sciences, China); Liang Wang (Chinese Academy of Sciences, China)

  • Adversarial Training Methods for Network Embedding

    Quanyu Dai (Hong Kong Polytechnic University, China); Xiao Shen (Hong Kong Polytechnic University, China); Liang Zhang (JD.com, China); Qiang Li (Y-Lab - Kwai, China); Dan Wang (Hong Kong Polytechnic University, China)

  • NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

    Jiezhong Qiu (Tsinghua University, China); Yuxiao Dong (Microsoft, United States); Hao Ma (Facebook, United States); Jian Li (Tsinghua University, China); Chi Wang (Microsoft, United States); Kuansan Wang (Microsoft, United States); Jie Tang (Tsinghua University, China)

  • RAQ: Relationship-Aware Graph Querying in Large Networks

    Jithin Vachery (Indian Institute of Technology Madras, India); Akhil Arora (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Sayan Ranu (Indian Institute of Technology Dehli, India); Arnab Bhattacharya (Indian Institute of Technology Kanpur, India)

  • GhostLink: Mining Latent Influence Networks for Influence-aware Item Recommendation

    Subhabrata Mukherjee (Amazon, United States); Stephan Guennemann (Technical University of Munich, Germany)

  • Exploring User Behavior in Email Re-Finding Tasks

    Joel Mackenzie (RMIT University, Australia); Kshitiz Gupta (Microsoft, United States); Fang Qiao (Microsoft, United States); Ahmed Hassan Awadallah (Microsoft, United States); Milad Shokouhi (Microsoft, United States)

  • Studying Preferences and Concerns about Information Disclosure in Email Notifications

    Yongsung Kim (Northwestern University, United States); Adam Fourney (Microsoft, United States); Ece Kamar (Microsoft, United States)

  • Improving Treatment Effect Estimators Through Experiment Splitting

    Dominic Coey (Facebook, United States); Tom Cunningham (Facebook, United States)

  • Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning

    Ryuichi Takanobu (Tsinghua University, China); Tao Zhuang (Alibaba Group, China); Minlie Huang (Tsinghua University, China); Jun Feng (State Grid, China); Haihong Tang (Alibaba Group, China); Bo Zheng (Alibaba Group, China)

  • Truth inference at scale: A Bayesian model for adjudicating highly redundant crowd annotations

    Yuan Li (University of Melbourne, Australia); Benjamin I. P. Rubinstein (University of Melbourne, Australia); Trevor Cohn (University of Melbourne, Australia)

  • Signed Distance-based Deep Memory Recommender

    Thanh Tran (Worcester Polytechnic Institute, United States); Xinyue Liu (Worcester Polytechnic Institute, United States); Kyumin Lee (Worcester Polytechnic Institute, United States); Xiangnan Kong (Worcester Polytechnic Institute, United States)

  • Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

    Jia Li (Chinese University of Hong Kong, Hong Kong); Yu Rong (Tencent AI Lab, China); Hong Cheng (Chinese University of Hong Kong, Hong Kong); Helen Meng (Chinese University of Hong Kong, Hong Kong); Wenbing Huang (Tencent AI Lab, China); Junzhou Huang (Tencent AI Lab, China)

  • Multimodal Review Generation for Recommender Systems

    Quoc-Tuan Truong (Singapore Management University, Singapore); Hady Lauw (Singapore Management University, Singapore)

  • Alleviating Users' Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services

    Shenggong Ji (Southwest Jiaotong University, China); Yu Zheng (JD Finance, China); Zhaoyuan Wang (Southwest Jiaotong University, China); Tianrui Li (Southwest Jiaotong University, China)

  • Beyond Shortest Paths: Route Recommendations for Ride-sharing

    Chak Fai Yuen (Indian Institute of Technology Delhi, India); Abhishek Pratap Singh (Indian Institute of Technology Delhi, India); Sagar Goyal (Indian Institute of Technology Delhi, India); Sayan Ranu (Indian Institute of Technology Delhi, India); Amitabha Bagchi (Indian Institute of Technology Delhi, India)

  • Neural IR Meets Graph Embedding: A Ranking Model for Product Search

    Yuan Zhang (Peking University, China); Dong Wang (Peking University, China); Yan Zhang (Peking University, China)

  • How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation

    Li Chen (Hong Kong Baptist University, Hong Kong); Yonghua Yang (Alibaba Group, China); Ningxia Wang (Hong Kong Baptist University, Hong Kong); Keping Yang (Alibaba Group, China); Quan Yuan (inspirAI, China)

  • Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization

    Alessandro Nuara (Politecnico di Milano, Italy); Nicola Sosio (Politecnico di Milano, Italy); Francesco Trovò (Politecnico di Milano, Italy); Maria Chiara Zaccardi (Politecnico di Milano, Italy); Nicola Gatti (Politecnico di Milano, Italy); Marcello Restelli (Politecnico di Milano, Italy)

  • Learning Resolution Parameters for Graph Clustering

    Nate Veldt (Purdue University, United States); David Gleich (Purdue University, United States); Anthony Wirth (University of Melbourne, Australia)

  • Navigating the Maze of Wikidata Query Logs

    Angela Bonifati (Lyon 1 University, France); Wim Martens (University of Bayreuth, Germany); Thomas Timm (University of Bayreuth, Germany)

  • Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks

    Pengfei Li (Zhejiang University, China); Hua Lu (Aalborg University, Denmark); Gang Zheng (Zhejiang University, China); Qian Zheng (Nanyang Technological University, Singapore); Long Yang (Zhejiang University, China); Gang Pan (Zhejiang University, China)

  • Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor

    Vincent Primault (University College London, United Kingdom); Vasileios Lampos (University College London, United Kingdom); Ingemar Cox (University College London, United Kingdom); Emiliano De Cristofaro (University College London, United Kingdom)

  • Reconciliation k-median: Clustering with non-polarized representatives

    Bruno Ordozgoiti (Universidad Politécnica de Madrid, Spain); Aristides Gionis (Aalto University, Finland)

  • Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources

    Huiyuan Chen (Case Western Reserve University, United States); Jing Li (Case Western Reserve University, United States)

  • Transfer learning for unsupervised influenza-like illness models from online search data

    Bin Zou (University College London, United Kingdom); Vasileios Lampos (University College London, United Kingdom); Ingemar Cox (University College London, United Kingdom)

  • Spectrum-enhanced Pairwise Learning to Rank

    Wenhui Yu (Tsinghua University, China); Zheng Qin (Tsinghua University, China)

  • Reputation Deflation Through Dynamic Expertise Assessment in Online Labor Markets

    Marios Kokkodis (Boston College, United States)

  • Language in Our Time: An Empirical Analysis of Hashtags

    Yang Zhang (CISPA, Germany)

  • Evaluating Login Challenges as a Defense Against Account Takeover

    Periwinkle Doerfler (New York University, United States); Kurt Thomas (Google, United States); Maija Marincenko (Google, United States); Juri Ranieri (Google, United States); Yu Jiang (Google, United States); Angelika Moscicki (Google, United States); Damon McCoy (New York University, United States)

  • Nonlinear diffusions for community detection and semi-supervised learning

    Rania Ibrahim (Purdue University, United States); David Gleich (Purdue University, United States)

  • Multilevel Network Alignment

    Si Zhang (Arizona State University, United States); Hanghang Tong (Arizona State University, United States); Ross Maciejewski (Arizona State University, United States); Tina Eliassi-Rad (Northeastern University, United States)

  • Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources

    Tian Bai (Temple University, United States); Slobodan Vucetic (Temple University, United States)

  • Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness

    Yilun Zhou (Massachusetts Institute of Technology, United States); Steven Schockaert (Cardiff University, United Kingdom); Julie Shah (Massachusetts Institute of Technology, United States)

  • Graph Neural Networks for Social Recommendation

    Wenqi Fan (City University of Hong Kong, Hong Kong); Yao Ma (Michigan State University, United States); Qing Li (City University of Hong Kong, Hong Kong); Yuan He (JD.com, China); Eric Zhao (JD.com, China); Jiliang Tang (Michigan State University, United States); Dawei Yin (JD.com, China)

  • Hack for Hire: Exploring the Emerging Market for Account Hijacking

    Ariana Mirian (University of California San Diego, United States); Joe DeBlasio (University of California San Diego, United States); Stefan Savage (University of California San Diego, United States); Geoffrey M. Voelker (University of California San Diego, United States); Kurt Thomas (Google, United States)

  • Maximizing Current Flow Closeness under Cardinality Constraints

    Huan Li (Fudan University, China); Richard Peng (Georgia Institute of Technology, United States); Liren Shan (Fudan University, China); Yuhao Yi (Fudan University, China); Zhongzhi Zhang (Fudan University, China)

  • Persona-Aware Tips Generation

    Piji Li (Tencent AI Lab, China); Zihao Wang (Chinese University of Hong Kong, China); Lidong Bing (Alibaba Group, China); Wai Lam (Chinese University of Hong Kong, China)

  • Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

    Bin Liu (Huawei Noah's Ark Lab, China); Ruiming Tang (Huawei Noah's Ark Lab, China); Yingzhi Chen (Jinan University, China); Jinkai Yu (Huawei Noah's Ark Lab, China); Huifeng Guo (Huawei Noah's Ark Lab, China); Yuzhou Zhang (Huawei Noah's Ark Lab, China)

  • Listening between the Lines: Learning Personal Attributes from Conversations

    Anna Tigunova (Max Planck Institute for Informatics, Germany); Andrew Yates (Max Planck Institute for Informatics, Germany); Paramita Mirza (Max Planck Institute for Informatics, Germany); Gerhard Weikum (Max Planck Institute for Informatics, Germany)

  • Cross-Network Embedding for Multi-Network Alignment

    Xiaokai Chu (Chinese Academy of Sciences, China); Xinxin Fan (Chinese Academy of Sciences, China); Di Yao (Chinese Academy of Sciences, China); Zhihua Zhu (Chinese Academy of Sciences, China); Jianhui Huang (Chinese Academy of Sciences, China); Jingping Bi (Chinese Academy of Sciences, China)

  • Local Matching Networks for Engineering Diagram Search

    Zhuyun Dai (Carnegie Mellon University, United States); Zhen Fan (Tsinghua University, China); Hafeezul Rahman (Carnegie Mellon University, United States); Jamie Callan (Carnegie Mellon University, United States)

  • Towards Self-Adaptive Metric Learning On the Fly

    Yang Gao (University of Texas Dallas, United States); Yi-Fan Li (University of Texas Dallas, United States); Swarup Chandra (University of Texas Dallas, United States); Latifur Khan (University of Texas Dallas, United States); Bhavani Thuraisingham (University of Texas Dallas, United States)

  • Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations

    Pinkesh Badjatiya (International Institute of Information Technology Hyderabad, India); Manish Gupta (International Institute of Information Technology Hyderabad, India); Vasudeva Varma (International Institute of Information Technology Hyderabad, India)

  • Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network

    Yufeng Diao (Dalian University of Technology, China); Hongfei Lin (Dalian University of Technology, China); Liang Yang (Dalian University of Technology, China); Xiaochao Fan (Dalian University of Technology, China); Di Wu (Dalian University of Technology, China)

  • Debiasing Vandalism Detection Models at Wikidata

    Stefan Heindorf (University of Paderborn, Germany); Yan Scholten (University of Paderborn, Germany); Gregor Engels (University of Paderborn, Germany); Martin Potthast (University of Leipzig, Germany)

  • Graphy: A High Performance CPU-GPU Hybrid System for Node Embedding

    Zhaocheng Zhu (Montréal Institute for Learning Algorithms, Canada); Shizhen Xu (Tsinghua University, China); Jian Tang (Montréal Institute for Learning Algorithms, Canada); Meng Qu (Montréal Institute for Learning Algorithms, Canada)

  • Revisiting Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search

    T-H. Hubert Chan (University of Hong Kong, Hong Kong); Zhibin Liang (University of Hong Kong, Hong Kong); Mauro Sozio (Télécom ParisTech, France)

  • What We Vote for? Answer Selection from User Expertise View in Community Question Answering

    Shanshan Lyu (Chinese Academy of Sciences, China); Wentao Ouyang (Chinese Academy of Sciences, China); Yongqing Wang (Chinese Academy of Sciences, China); Huawei Shen (Chinese Academy of Sciences, China); Xueqi Cheng (Chinese Academy of Sciences, China)

  • BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge

    Nikhita Vedula (Ohio State University, United States); Pranav Maneriker (Ohio State University, United States); Srinivasan Parthasarathy (Ohio State University, United States)

  • Grid-based Evaluation Metrics for Web Image Search

    Xiaohui Xie (Tsinghua University, China); Jiaxin Mao (Tsinghua University, China); Yiqun Liu (Tsinghua University, China); Maarten de Rijke (University of Amsterdam, Netherlands); Yunqiu Shao (Tsinghua University, China); Zixin Ye (Beihang University, China); Min Zhang (Tsinghua University, China); Shaoping Ma (Tsinghua University, China)

  • Measurement and Early Detection of Third-Party Application Abuse on Twitter

    Shehroze Farooqi (University of Iowa, United States); Zubair Shafiq (University of Iowa, United States)

  • Joint Entity Linking with Deep Reinforcement Learning

    Zheng Fang (Chinese Academy of Sciences, China); Yanan Cao (Chinese Academy of Sciences, China); Qian Li (University of Technology Sydney, Australia); Dongjie Zhang (Chinese Academy of Sciences, China); Zhenyu Zhang (Chinese Academy of Sciences, China); Yanbing Liu (Chinese Academy of Sciences, China)

  • Efficient (α,β)-Core Computation: an Index-based Approach

    Boge Liu (University of New South Wales, Australia); Long Yuan (Nanjing University of Science and Technology, China); Xuemin Lin (University of New South Wales, Australia); Lu Qin (University of Technology Sydney, Australia); Wenjie Zhang (University of New South Wales, Australia); Jingren Zhou (Alibaba Group, China)

  • Before and After GDPR: The Changes in Third Party Presence at Public and Private European Websites

    Jannick Sørensen (Aalborg University, Denmark); Sokol Kosta (Aalborg University, Denmark)

  • Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model

    Le Zhang (University of Science and Technology of China, China); Hengshu Zhu (Baidu Talent Intelligence Center, China); Tong Xu (University of Science and Technology of China, China); Chen Zhu (Baidu Talent Intelligence Center, China); Chuan Qin (University of Science and Technology of China, China); Hui Xiong (Baidu Talent Intelligence Center, China); Enhong Chen (University of Science and Technology of China, China)

  • A Dynamic Embedding Model of the Media Landscape

    Jérémie Rappaz (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Dylan Bourgeois (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Karl Aberer (Ecole Polytechnique Fédérale de Lausanne, Switzerland)

  • Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks

    Dongyu Zhang (Dalian University of Technology, China); Teng Guo (Dalian University of Technology, China); Hanxiao Pan (Dalian University of Technology, China); Jie Hou (Dalian University of Technology, China); Zhitao Feng (Dalian University of Technology, China); Liang Yang (Dalian University of Technology, China); Hongfei Lin (Dalian University of Technology, China); Feng Xia (Dalian University of Technology, China)

  • RED: Redundancy-Driven Data Extraction from Result Pages

    Jinsong Guo (University of Oxford, United Kingdom); Valter Crescenzi (Universita Roma Tre, Italy); Tim Furche (University of Oxford and Wrapidity & Meltwater, United Kingdom); Giovanni Grasso (University of Calabria, Italy; Wrapidity & Meltwater, United Kingdom); Georg Gottlob (University of Oxford, United Kingdom; TU Wien, Austria)

  • Message Distortion in Information Cascades

    Manoel Horta Ribeiro (Universidade Federal de Minas Gerais, Brazil); Kristina Gligoric (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Robert West (Ecole Polytechnique Fédérale de Lausanne, Switzerland)

  • Generating Product Descriptions from User Reviews

    Slava Novgorodov (eBay Research, Israel); Guy Elad (Technion - Israel Institute of Technology, Israel); Ido Guy (eBay Research, Israel); Kira Radinsky (Technion - Israel Institute of Technology, Israel)

  • Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach

    Qingyu Guo (Nanyang Technological University, Singapore); Zhao Li (Alibaba Group, China); Bo An (Nanyang Technological University, Singapore); Pengrui Hui (Alibaba Group, China); Jiaming Huang (Alibaba Group, China); Long Zhang (Alibaba Group, China); Mengchen Zhao (Nanyang Technological University, Singapore)

  • Revisiting Wedge Sampling for Triangle Counting

    Ata Turk (Boston University, United States); Duru Turkoglu (Loyola University, United States)

  • Estimating the Total Volume of Queries to Google

    Fabrizio Lillo (University of Bologna, Italy); Salvatore Ruggieri (University of Pisa, Italy)

  • User-Centric Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior

    Yongzhen Wang (Dalian Maritime University, China); Heng Huang (Alibaba Group, China); Yuliang Yan (Alibaba Group, China); Xiaozhong Liu (Indiana University Bloomington, United States)

  • Cross-domain Recommendation Without Sharing User-relevant Data

    Chen Gao (Tsinghua University, China); Xiangning Chen (Tsinghua University, China); Fuli Feng (National University of Singapore, Singapore); Kai Zhao (Tsinghua University, China); Xiangnan He (National University of Singapore, Singapore); Yong Li (Tsinghua University, China); Depeng Jin (Tsinghua University, China)

  • How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content

    Longqi Yang (Cornell University, United States); Michael Sobolev (Cornell University, United States); Yu Wang (Himalaya Media, United States); Jenny Chen (City University of New York, United States); Drew Dunne (Cornell University, United States); Christina Tsangouri (Cornell University, United States); Nicola Dell (Cornell University, United States); Mor Naaman (Cornell University, United States); Deborah Estrin (Cornell University, United States)

  • Anomaly detection in the dynamics of web and social networks using associative memory

    Volodymyr Miz (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Benjamin Ricaud (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Kirell Benzi (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Pierre Vandergheynst (Ecole Polytechnique Fédérale de Lausanne, Switzerland)

  • Cookie Synchronization: Everything You Always Wanted to Know But Were Afraid to Ask

    Panagiotis Papadopoulos (Brave Software, Greece); Nicolas Kourtellis (Telefonica Research, Spain); Evangelos Markatos (FORTH, Greece)

  • Automatic Boolean Query Refinement for Systematic Review Literature Search

    Harrisen Scells (University of Queensland, Australia); Guido Zuccon (University of Queensland, Australia); Bevan Koopman (CSIRO, Australia)

  • On Attribution of Recurrent Neural Network Predictions via Additive Decomposition

    Mengnan Du (Texas A&M University, United States); Ninghao Liu (Texas A&M University, United States); Fan Yang (Texas A&M University, United States); Shuiwang Ji (Texas A&M University, United States); Xia Hu (Texas A&M University, United States)

  • A Human-in-the-loop Attribute Design Framework for Classification

    Md Abdus Salam (University of Texas Arlington, United States); Mary E. Koone (University of Texas Arlington, United States); Saravanan Thirumuruganathan (Qatar Computing Research Institute, Qatar); Gautam Das (University of Texas Arlington, United States); Senjuti Basu Roy (New Jersey Institute of Technology, United States)

  • SGranite: Distributed Tensor Decomposition for Large Scale Health Analytics

    Huan He (Emory University, United States); Jette Henderson (University of Texas Austin, United States); Joyce C Ho (Emory University, United States)

  • Revisiting Mobile Advertising Threats with MAdLife

    Gong Chen (Georgia Institute of Technology, United States); Wei Meng (Chinese University of Hong Kong, Hong Kong); John Copeland (Georgia Institute of Technology, United States)

  • Doppelgängers on the Dark Web: A Large-scale Assessment on Phishing Hidden Web Services

    Changhoon Yoon (Korea Advanced Institute of Science and Technology, South Korea); Kwanwoo Kim (Korea Advanced Institute of Science and Technology, South Korea); Yongdae Kim (Korea Advanced Institute of Science and Technology, South Korea); Seungwon Shin (Korea Advanced Institute of Science and Technology, South Korea); Sooel Son (Korea Advanced Institute of Science and Technology, South Korea)

  • A Hybrid BitFunnel and Partitioned Elias-Fano Inverted Index

    Xinyu Liu (Nankai University, China); Zhaohua Zhang (Nankai University, China); Rebecca Stones (Nankai University, China); Yusen Li (Nankai University, China); Gang Wang (Nankai University, China); Xiaoguang Liu (Nankai University, China)

  • Leveraging Peer Communication to Enhance Crowdsourcing

    Wei Tang (Washington University Saint Louis, United States); Ming Yin (Purdue University, United States); Chien-Ju Ho (Washington University Saint Louis, United States)

  • Distributed Algorithms for Fully Personalized PageRank on Large Graphs

    Wenqing Lin (Tencent, China)

  • How Representative is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks

    Muhammad Saleem (University of Leizpig, Germany); Gábor Szárnyas (Budapest University of Technology and Economics, Hungary); Felix Conrads (Universität Leipzig, Germany); Syed Ahmad Chan Bukhari (Yale University, United States); Qaiser Mehmood (National University of Ireland Galway, Ireland); Axel-Cyrille Ngonga Ngomo (Paderborn University, Germany)

  • Detecting Low Self-Esteem in youths from Web Search Data

    Anis Zaman (University of Rochester, United States); Rupam Acharyya (University of Rochester, United States); Henry Kautz (University of Rochester, United States); Vincent Silenzio (University of Rochester, United States)

  • ShadowBlock: A Lightweight and Stealthy Adblocking Browser

    Shitong Zhu (University of California Riverside, United States); Umar Iqbal (University of Iowa, United States); Zhongjie Wang (University of California Riverside, United States); Zhiyun Qian (University of California Riverside, United States); Zubair Shafiq (University of Iowa, United States); Weiteng Chen (University of California Riverside, United States)

  • Neural Variational Correlated Topic Modeling

    Luyang Liu (Beijing Institute of Technology, China); Heyan Huang (Beijing Institute of Technology, China); Yang Gao (Beijing Insititute of Technology, China); Yongfeng Zhang (Rutgers University, United States); Xiaochi Wei (Baidu, China)

  • Heterogeneous Graph Attention Network

    Xiao Wang (Beijing University of Posts and Telecommunications, China); Houye Ji (Beijing University of Posts and Telecommunications, China); Chuan Shi (Beijing University of Posts and Telecommunications, China); Bai Wang (Beijing University of Posts and Telecommunications, China); Yanfang Ye (West Virginia University, United States); Peng Cui (Tsinghua University, China); Philip S Yu (University of Illinois Chicago, United States)

  • From Small-scale to Large-scale Text Classification

    Kang-Min Kim (Korea University, South Korea); Yeachan Kim (Korea University, South Korea); Jungho Lee (Korea University, South Korea); Ji-Min Lee (Korea University, South Korea); Sangkeun Lee (Korea University, South Korea)

  • CommunityGAN: Community Detection with Generative Adversarial Nets

    Yuting Jia (Shanghai Jiao Tong University, China); Qinqin Zhang (Shanghai Jiao Tong University, China); Weinan Zhang (Shanghai Jiao Tong University, China); Xinbing Wang (Shanghai Jiao Tong University, China)

  • Personalized Bundle List Recommendation

    Jinze Bai (Peking University, China); Chang Zhou (Alibaba Group, China); Junshuai Song (Peking University, China); Xiaoru Qu (Peking University, China); Weiting An (Alibaba Group, China); Zhao Li (Alibaba Group, China); Jun Gao (Peking University, China)

  • RatingWorker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective

    George Trimponias (Huawei Noah's Ark Lab, Hong Kong); Xiaojuan Ma (Hong Kong University of Science and Technology, Hong Kong); Qiang Yang (Hong Kong University of Science and Technology, Hong Kong)

  • Domain-Constrained Advertising Keyword Generation

    Hao Zhou (Tsinghua University, China); Minlie Huang (Tsinghua University, China); Yishun Mao (Sogou, China); Changlei Zhu (Sogou, China); Peng Shu (Sogou, China); Xiaoyan Zhu (Tsinghua University, China)

  • Learning Dual Retrieval Module for Semi-supervised Relation Extraction

    Hongtao Lin (University of Southern California, United States); Jun Yan (Tsinghua University, China); Meng Qu (University of Illinois Urbana-Champaign, United States); Xiang Ren (University of Southern California, United States)

  • PrivIdEx: Privacy Preserving and Secure Exchange of Digital Identity Assets

    Hasini Gunasinghe (Purdue University, United States); Ashish Kundu (IBM, United States); Elisa Bertino (Purdue University, United States); Hugo Krawczyk (IBM, United States); Suresh Chari (IBM, United States); Kapil Singh (IBM, United States); Dong Su (IBM, United States)

  • Snapshot-based Loading Acceleration of Web Apps with Nondeterministic JavaScript Execution

    Jihwan Yeo (Seoul National University, South Korea); Changhyun Shin (Seoul National University, South Korea); Soo-Mook Moon (Seoul National University, South Korea)

  • Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction

    Huaxiu Yao (Pennsylvania State University, United States); Yiding Liu (Nanyang Technological University, Singapore); Ying Wei (Tencent, China); Xianfeng Tang (Pennsylvania State University, United States); Zhenhui Li (Pennsylvania State University, United States)

  • End-to-end Entity Matching using Pre-trained Deep Models

    Chen Zhao (University of Maryland, United States); Yeye He (Microsoft, United States)

  • Review Response Generation in E-Commerce Platforms with External Product Information

    Lujun Zhao (Fudan University, China); Kaisong Song (Alibaba Group, China); Changlong Sun (Alibaba Group, China); Qi Zhang (Fudan University, China); Xuanjing Huang (Fudan University, China); Xiaozhong Liu (Alibaba Group, China)

  • SamWalker: Social Recommendation with Informative Sampling Strategy

    Jiawei Chen (Zhejiang University, China); Can Wang (Zhejiang University, China); Sheng Zhou (Zhejiang University, China); Qihao Shi (Zhejiang University, China); Yan Feng (Zhejiang University, China); Chun Chen (Zhejiang University, China)

  • Learning How to Correct a Knowledge Base from the Edit History

    Thomas Pellissier Tanon (Télécom ParisTech, France); Camille Bourgaux (PSL University, France); Fabian Suchanek (Télécom ParisTech, France)

  • Dual Neural Personalized Ranking

    Seunghyeon Kim (Sungkyunkwan University, South Korea); Jongwuk Lee (Sungkyunkwan University, South Korea); Hyunjung Shim (Yonsei University, South Korea)

  • Enriching News Articles with Related Search Queries

    David Carmel (Amazon Research, Israel); Yaroslav Fyodorov (Yahoo Research, Israel); Saar Kuzi (University of Illinois Urbana-Champaign, United States); Avihai Mejer (Yahoo Research, Israel); Fiana Raiber (Yahoo Research, Israel); Elad Rainshmidt (Oath, Israel)

  • BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes

    Jiaxing Shen (Hong Kong Polytechnic University, Hong Kong); Jiannong Cao (Hong Kong Polytechnic University, Hong Kong); Xuefeng Liu (Huazhong University of Science and Technology, China)

  • A First Look at Deep Learning Apps on Smartphones

    Mengwei Xu (Peking University, China); Jiawei Liu (Peking University, China); Yuanqiang Liu (Peking University, China); Felix Xiaozhu Lin (Purdue University, United States); Yunxin Liu (Microsoft, China); Xuanzhe Liu (Peking University, China)

  • The Matthew Effect in Computation Contests: High Difficulty May Lead to 51% Dominance

    Yulong Zeng (Nebulas, China); Song Zuo (Google, China)

  • Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

    Chenyang Wang (Tsinghua University, China); Min Zhang (Tsinghua University, China); Weizhi Ma (Tsinghua University, China); Yiqun Liu (Tsinghua University, China); Shaoping Ma (Tsinghua University, China)

  • SpeedReader: Reader Mode Made Fast and Private

    Mohammad Ghasemisharif (University of Illinois Chicago, United States); Peter Snyder (Brave Software, United States); Andrius Aucinas (Brave Software, United Kingdom); Benjamin Livshits (Brave Software and Imperial College London, United Kingdom)

  • Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems

    Zheng Zhang (Tsinghua University, China); Lizi Liao (National University of Singapore, Singapore); Minlie Huang (Tsinghua University, China); Xiaoyan Zhu (Tsinghua University, China); Tat-Seng Chua (National University of Singapore, Singapore)

  • Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data

    Jie Yang (University of Fribourg, Switzerland); Alisa Smirnova (University of Fribourg, Switzerland); Dingqi Yang (University of Fribourg, Switzerland); Gianluca Demartini (University of Queensland, Australia); Yuan Lu (ING Bank, Netherlands); Philippe Cudre-Mauroux (University of Fribourg, Switzerland)

  • Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification

    Zhenpeng Chen (Peking University, China); Sheng Shen (University of California Berkeley, United States); Ziniu Hu (University of California Los Angeles, United States); Xuan Lu (Peking University, China); Qiaozhu Mei (University of Michigan, United States); Xuanzhe Liu (Peking University, China)

  • Nameles: An intelligent system for Real-Time Filtering of Invalid Ad Traffic

    Antonio Pastor (Universidad Carlos III de Madrid, Spain); Matti Pärssinen (Aalto University, Finland); Patricia Callejo (Universidad Carlos III de Madrid, Spain); Pelayo Vallina (Universidad Carlos III de Madrid, Spain); Rubén Cuevas (Universidad Carlos III de Madrid, Spain); Ángel Cuevas (Universidad Carlos III de Madrid, Spain); Mikko Kotila (Botlab, United States); Arturo Azcorra (Universidad Carlos III de Madrid, Spain)

  • It's almost like they're trying to hide it: How User-Provided Image Descriptions Have Failed to Make Twitter Accessible

    Cole Gleason (Carnegie Mellon University, United States); Patrick Carrington (Carnegie Mellon University, United States); Cameron Cassidy (Texas A&M University, United States); Meredith Ringel Morris (Microsoft, United States); Kris M. Kitani (Carnegie Mellon University, United States); Jeffrey P. Bigham (Carnegie Mellon University, United States)

  • Web Experience in Operational Mobile Networks: Lessons from Two Million Page Visits

    Mohammad Rajiullah (Karlstad University, Sweden); Andra Lutu (Telefonica Research, Spain); Ali Safari Khatouni (Politecnico di Torino, Italy); Mah-Rukh Fida (University of Edinburgh, United Kingdom); Marco Mellia (Politecnico di Torino, Italy); Anna Brunstrom (Karlstad University, Sweden); Ozgu Alay (Simula Research Laboratory, Norway); Stefan Alfredsson (Karlstad University, Sweden); Vincenzo Mancuso (IMDEA Networks Institute, Spain)

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Weizhi Ma (Tsinghua University, China); Min Zhang (Tsinghua University, China); Yue Cao (University of Southern California, United States); Woojeong Jin (University of Southern California, United States); Chenyang Wang (Tsinghua University, China); Yiqun Liu (Tsinghua University, China); Shaoping Ma (Tsinghua University, China); Xiang Ren (University of Southern California, United States)

  • Understanding the Evolution of Mobile App Ecosystems: A Longitudinal Measurement Study of Google Play

    Haoyu Wang (Beijing University of Posts and Telecommunications, China); Hao Li (OrangeAPK, China); Yao Guo (Peking University, China)

  • Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

    Wen Zhang (Zhejiang University, China); Bibek Paudel (University of Zurich, Switzerland); Liang Wang (Zhejiang University, China); Jiaoyan Chen (University of Oxford, United Kingdom); Hai Zhu (Alibaba Group, China); Wei Zhang (Alibaba Group, China); Abraham Bernstein (University of Zurich, Switzerland); Huajun Chen (Zhejiang University, China)

  • Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations

    Rishabh Mehrotra (Spotify Research, United Kingdom); Mounia Lalmas (Spotify Research, United Kingdom); Doug Kenney (Spotify, United States); Thomas Lim-Meng (Spotify, United States); Golli Hashemian (Spotify, United States)

  • Improving Outfit Recommendation with Co-supervision of Fashion Generation

    Yujie Lin (Shandong University, China); Pengjie Ren (University of Amsterdam, Netherlands); Zhumin Chen (Shandong University, China); Zhaochun Ren (JD.com, China); Jun Ma (Shandong University, China); Maarten de Rijke (University of Amsterdam, Netherlands)

  • Policy Gradients for Contextual Recommendations

    Feiyang Pan (Chinese Academy of Sciences, China); Qingpeng Cai (Tsinghua University, China); Pingzhong Tang (Tsinghua University, China); Fuzhen Zhuang (Chinese Academy of Sciences, China); Qing He (Chinese Academy of Sciences, China)

  • ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections

    Tuan Le (Oakland University, United States); Leman Akoglu (Carnegie Mellon University, United States)

  • Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability

    Miriam Redi (Wikimedia Foundation, United Kingdom); Besnik Fetahu (L3S Research Center, Germany); Jonathan Morgan (Wikimedia Foundation, United States); Dario Taraborelli (Wikimedia Foundation, United States)

  • ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs

    Natalia Ostapuk (University of Fribourg, Switzerland); Jie Yang (University of Fribourg, Switzerland); Philippe Cudre-Mauroux (University of Fribourg, Switzerland)

  • Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference

    Xianfeng Tang (Pennsylvania State University, United States); Boqing Gong (Tencent, United States); Yanwei Yu (Yantai University, China); Huaxiu Yao (Pennsylvania State University, United States); Yandong Li (University of Central Florida, United States); Haiyong Xie (University of Science and Technology of China, China); Xiaoyu Wang (Intellifusion, China)

  • Evaluating User Actions as a Proxy for Email Significance

    Tarfah Alrashed (Massachusetts Institute of Technology, United States); Chia-Jung Lee (Microsoft, United States); Peter Bailey (Microsoft, Australia); Christopher Lin (Microsoft, United States); Milad Shokouhi (Microsoft, United States); Susan Dumais (Microsoft, United States)

  • Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval

    Shangsong Liang (Sun Yat-sen University, China)

  • Link Prediction in Networks with Core-Fringe Data

    Austin Benson (Cornell University, United States); Jon Kleinberg (Cornell University, United States)

  • Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale

    Rajkarn Singh (University of Edinburgh, United Kingdom); Marco Fiore (CNR IEIIT, Italy); Mahesh Marina (University of Edinburgh, United Kingdom); Alberto Tarable (CNR IEIIT, Italy); Alessandro Nordio (CNR IEIIT, Italy)

  • Generative Graph Models based on Laplacian Spectra

    Alana Shine (University of Southern California, United States); David Kempe (University of Southern California, United States)

  • CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning

    Ziyu Yao (Ohio State University, United States); Jayavardhan Reddy Peddamail (Ohio State University, United States); Huan Sun (Ohio State University, United States)

  • Modeling Dynamic Networks of Timestamped Relational Events using Point Process Block Models

    Ruthwik Junuthula (University of Toledo, United States); Maysam Haghdan (University of Toledo, United States); Kevin S. Xu (University of Toledo, United States); Vijay Devabhaktuni (University of Toledo, United States)

  • Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach

    Dingqi Yang (University of Fribourg, Switzerland); Bingqing Qu (University of Fribourg, Switzerland); Jie Yang (University of Fribourg, Switzerland); Philippe Cudre-Mauroux (University of Fribourg, Switzerland)

  • Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning

    Dingcheng Li (Baidu, United States); Jingyuan Zhang (Baidu, United States); Ping Li (Baidu, United States)

  • SWAT: Seamless Web Authentication Technology

    Florentin Rochet (UCLouvain Crypto Group, Belgium); Kyriakos Efthymiadis (VUB, Belgium); François Koeune (UCLouvain Crypto Group, Belgium); Olivier Pereira (UCLouvain Crypto Group, Belgium)

  • Trajectories of Blocked Community Members: Redemption, Recidivism and Departure

    Jonathan Chang (Cornell University, United States); Cristian Danescu-Niculescu-Mizil (Cornell University, United States)

  • Moving Deep Learning into Web Browser: How Far Can We Go?

    Yun Ma (Ministry of Education, China); Dongwei Xiang (Ministry of Education, China); Shuyu Zheng (Ministry of Education, China); Deyu Tian (Ministry of Education, China); Xuanzhe Liu (Peking University, China)

  • Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation

    Jianmo Ni (University of California San Diego, United States); Larry Muhlstein (University of California San Diego, United States); Julian McAuley (University of California San Diego, United States)

  • Bayesian Exploration with Heterogeneous Agents

    Nicole Immorlica (Microsoft, United States); Jieming Mao (University of Pennsylvania, United States); Aleksandrs Slivkins (Microsoft, United States); Zhiwei Steven Wu (University of Minnesota, United States)

  • Towards Neural Mixture Recommender for Long Range Dependent User Sequences

    Jiaxi Tang (Simon Fraser University, Canada); Francois Belletti (Google, United States); Sagar Jain (Google, United States); Minmin Chen (Google, United States); Alex Beutel (Google, United States); Can Xu (Google, United States); Ed H. Chi (Google, United States)

  • Crowd-Mapping Urban Objects from Street-Level Imagery

    Sihang Qiu (Delft University of Technology, Netherlands); Achilleas Psyllidis (Delft University of Technology, Netherlands); Alessandro Bozzon (Delft University of Technology, Netherlands); Geert-Jan Houben (Delft University of Technology, Netherlands)

  • SaGe: Web Preemption for Public SPARQL Query Services

    Thomas Minier (University of Nantes, France); Hala Skaf-Molli (University of Nantes, France); Pascal Molli (University of Nantes, France)

  • Auditing the Partisanship of Google Search Snippets

    Desheng Hu (Northeastern University, United States); Shan Jiang (Northeastern University, United States); Ronald E. Robertson (Northeastern University, United States); Christo Wilson (Northeastern University, United States)

  • VACCINE: Using Contextual Integrity For Data Leakage Detection

    Yan Shvartzshnaider (New York University, United States); Zvonimir Pavlinovic (New York University, United States); Ananth Balashankar (New York University, United States); Thomas Wies (New York University, United States); Lakshminarayanan Subramanian (New York University, United States); Helen Nissenbaum (Cornell Tech, United States); Prateek Mittal (Princeton University, United States)

  • Be Concise and Precise: Synthesizing Open-domain Entity Descriptions from Facts

    Rajarshi Bhowmik (Rutgers University, United States); Gerard de Melo (Rutgers University, United States)

  • SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators

    Panayiotis Smeros (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Carlos Castillo (Universitat Pompeu Fabra, Spain); Karl Aberer (Ecole Polytechnique Fédérale de Lausanne, Switzerland)

  • Splitter: Learning Node Representations that Capture Multiple Social Contexts

    Alessandro Epasto (Google, United States); Bryan Perozzi (Google, United States)

  • Learning from On-Line User Feedback in Neural Question Answering on the Web

    Bernhard Kratzwald (ETH Zurich, Switzerland); Stefan Feuerriegel (ETH Zurich, Switzerland)

  • Choosing to grow a graph: modeling network formation as discrete choice

    Jan Overgoor (Stanford University, United States); Austin Benson (Cornell University, United States); Johan Ugander (Stanford University, United States)

  • OUTGUARD: Detecting In-Browser Covert Cryptocurrency Mining in the Wild

    Amin Kharraz (University of Illinois Urbana-Champaign, United States); Zane Ma (University of Illinois Urbana-Champaign, United States); Paul Murley (University of Illinois Urbana-Champaign, United States); Charles Lever (Georgia Institute of Technology, United States); Joshua Mason (University of Illinois Urbana-Champaign, United States); Andrew Miller (University of Illinois Urbana-Champaign, United States); Nikita Borisov (University of Illinois Urbana-Champaign, United States); Manos Antonakakis (Georgia Institute of Technology, United States); Michael Bailey (University of Illinois Urbana-Champaign, United States)

  • Auditing Offline Data Brokers via Facebook’s Advertising Platform

    Giridhari Venkatadri (Northeastern University, United States); Piotr Sapiezynski (Northeastern University, United States); Elissa M. Redmiles (University of Maryland, United States); Alan Mislove (Northeastern University, United States); Oana Goga (Laboratoire d'Informatique de Grenoble, France); Michelle L. Mazurek (University of Maryland, United States); Krishna P. Gummadi (Max Planck Institute for Software Systems, Germany)

  • Forecasting U.S. Domestic Migration Using Internet Search Queries

    Allen Yilun Lin (Northwestern University, United States); Justin Cranshaw (Microsoft, United States); Scott Counts (Microsoft, United States)

  • DDGK: Learning Graph Representations via Deep Divergence Graph Kernels

    Rami Al-Rfou (Google AI, United States); Bryan Perozzi (Google AI, United States); Dustin Zelle (Google AI, United States)

  • Externalities and Fairness

    Masoud Seddighin (Sharif University of Technology, Iran); Hamed Saleh (University of Maryland, United States); Mohammad Ghodsi (Sharif University of Technology, Iran)

  • Towards Predicting a Realisation of an Information Need based on Brain Signals

    Yashar Moshfeghi (University of Strathclyde, United Kingdom); Frank Pollick (University of Glasgow, United Kingdom)

  • Efficient On-Device Public-Private Computation

    Alessandro Epasto (Google, United States); Hossein Esfandiari (Google, United States); Vahab Mirrokni (Google, United States)

  • Diversity and Exploration in Social Learning

    Nicole Immorlica (Microsoft, United States); Jieming Mao (University of Pennsylvania, United States); Christos Tzamos (University of Wisconsin-Madison, United States)

  • Gaps in Information Access in Social Networks

    Benjamin Fish (Microsoft, Canada); Ashkan Bashardoust (University of Utah, United States); danah boyd (Data & Society, United States); Sorelle Friedler (Haverford College, United States); Carlos Scheidegger (University of Arizona, United States); Suresh Venkatasubramanian (University of Utah, United States)

  • Demographic Inference and Representative Population Estimates from Multilingual Social Media Data

    Zijian Wang (Stanford University, United States); Scott Hale (University of Oxford, United Kingdom); David Ifeoluwa Adelani (Saarland, Germany); Przemyslaw Grabowicz (Max Planck Institute for Software Systems, Germany); Timo Hartman (GESIS, Germany); Fabian Flöck (GESIS, Germany); David Jurgens (University of Michigan, United States)

  • Google Dataset Search: Building a Search Engine for Datasets in an Open Web Ecosystem

    Dan Brickley (Google, United States); Matthew Burgess (Google, United States); Natasha Noy (Google, United States)

  • To Return or to Explore: Modelling Human Mobility and Dynamics in Cyberspace

    Tianran Hu (University of Rochester, United States); Yinglong Xia (Futurewei Technologies, United States); Jiebo Luo (University of Rochester, United States)

  • Spiders like Onions: on the Network of Tor Hidden Services

    Massimo Bernaschi (Istituto per le Applicazioni del Calcolo Mauro Picone, Italy); Alessandro Celestini (Istituto per le Applicazioni del Calcolo Mauro Picone, Italy); Stefano Guarino (Istituto per le Applicazioni del Calcolo Mauro Picone, Italy); Flavio Lombardi (Istituto per le Applicazioni del Calcolo Mauro Picone, Italy); Enrico Mastrostefano (Istituto per le Applicazioni del Calcolo Mauro Picone, Italy)

  • (Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures

    Gustavo Resende (Universidade Federal de Minas Gerais, Brazil); Philipe Melo (Universidade Federal de Minas Gerais, Brazil); Hugo Sousa (Universidade Federal de Minas Gerais, Brazil); Johnnatan Messias (Max Planck Institute for Software Systems, Germany); Marisa Vasconcelos (IBM, Brazil); Jussara Almeida (Universidade Federal de Minas Gerais, Brazil); Fabrício Benevenuto (Universidade Federal de Minas Gerais, Brazil)

  • Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities

    Tiago Cunha (University of Michigan, United States); David Jurgens (University of Michigan, United States); Chenhao Tan (University of Colorado Boulder, United States); Daniel Romero (University of Michigan, United States)

  • Dynamic Deep Multi-modal Fusion for Image Sharing

    Ashwini Tonge (Kansas State University, United States); Cornelia Caragea (University of Illinois Chicago, United States)

  • Selling a Single Item with Negative Externalities

    Matheus Xavier Ferreira (Princeton University, United States); S. Matthew Weinberg (Princeton University, United States); Danny Yuxing Huang (Princeton University, United States); Nick Feamster (Princeton University, United States); Tithi Chattopadhyay (Princeton University, United States)

  • Predictive Crawling for Commercial Web Content

    Shuguang Han (Google, United States); Bernhard Brodowsky (Google, Switzerland); Przemek Gajda (Google, Switzerland); Sergey Novikov (Google, Switzerland); Mike Bendersky (Google, United States); Marc Najork (Google, United States); Robin Dua (Google, United States); Alexandrin Popescul (Google, United States)

  • Learning Edge Properties in Graphs from Path Aggregations

    Rakshit Agrawal (University of California Santa Cruz, United States); Luca de Alfaro (University of California Santa Cruz, United States)

  • Keyphrase Extraction from Disaster-related Tweets

    Jishnu Ray Chowdhury (Kansas State University, United States); Cornelia Caragea (University of Illinois Chicago, United States); Doina Caragea (Kansas State University, United States)

  • Addressing Trust Bias for Unbiased Learning-to-Rank

    Aman Agarwal (Cornell University, United States); Xuanhui Wang (Google, United States); Cheng Li (Google, United States); Michael Bendersky (Google, United States); Marc Najork (Google, United States)

  • Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention

    Manas Gaur (Kno.e.sis Center Ohio, United States); Amanuel Alambo (Kno.e.sis Center Ohio, United States); Joy Prakash Sain (Kno.e.sis Center Ohio, United States); Ugur Kursuncu (Kno.e.sis Center Ohio, United States); Krishnaprasad Thirunarayan (Kno.e.sis Center Ohio, United States); Ramakanth Kavuluru (University of Kentucky, United States); Amit Sheth (Kno.e.sis Center Ohio, United States); Randy Welton (Wright State University, United States); Jyotishman Pathak (Weill Cornell Medical College, United States)

  • HAR: A Hierarchical Attention Retrieval Model for Healthcare Question Answering

    Ming Zhu (Virginia Tech, United States); Aman Ahuja (Virginia Tech, United States); Wei Wei (Google, United States); Chandan K. Reddy (Virginia Tech, United States)

  • Understanding the Effects of the Neighbourhood Built Environment on Public Health with Open Data

    Apinan Hasthanasombat (University of Cambridge, United Kingdom); Cecilia Mascolo (University of Cambridge, United Kingdom)

  • Speed and Scale of Cryptocurrency Discussion Growth on Reddit

    Maria Glenski (University of Notre Dame, United States); Emily Saldanha (Pacific Northwest National Laboratory, United States); Svitlana Volkova (Pacific Northwest National Laboratory, United States)

  • Evaluating Anti-Fingerprinting Privacy Enhancing Technologies

    Amit Datta (Snap, United States); Jianan Lu (University of California Berkeley, United States); Michael Carl Tschantz (International Computer Science Institute, United States)

  • Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference

    Yixin Cao (National University of Singapore, Singapore); Xiang Wang (National University of Singapore, Singapore); Xiangnan He (National University of Singapore, Singapore); Zikun Hu (National University of Singapore, Singapore); Tat-Seng Chua (National University of Singapore, Singapore)

  • Semantic Text Matching for Long-Form Documents

    Jyun-Yu Jiang (University of California Los Angeles, United States); Mingyang Zhang (Google, United States); Cheng Li (Google, United States); Michael Bendersky (Google, United States); Nadav Golbandi (Google, United States); Marc Najork (Google, United States)

  • Pruning based Distance Sketches with Provable Guarantees on Random Graphs

    Hongyang Zhang (Stanford University, United States); Huacheng Yu (Harvard University, United States); Ashish Goel (Stanford University, United States)

  • Bootstrapping Domain-Specific Content Discovery on the Web

    Kien Pham (New York University, United States); Aecio Santos (New York University, United States); Juliana Freire (New York University, United States)

  • Learning Semantic Models of Data Sources using Probabilistic Graphical Models

    Binh Vu (University of Southern California, United States); Craig Knoblock (University of Southern California, United States); Jay Pujara (University of Southern California, United States)

  • A Semi-Supervised Active-learning Truth Estimator for Social Networks

    Hang Cui (University of Illinois Urbana Champaign, United States); Tarek Abdelzaher (University of Illinois Urbana-Champaign, United States); Lance Kaplan (Army Research Laboratories, United States)

  • Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses

    Xidao Wen (University of Pittsburgh, United States); Yu-Ru Lin (University of Pittsburgh, United States); Xi Liu (Texas A&M University, United States); Peter Brusilovsky (University of Pittsburgh, United States); Jordan Barría Pineda (University of Pittsburgh, United States)

  • How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation

    Zongtao Liu (Zhejiang University, China); Yang Yang (Zhejiang University, China); Wei Huang (Zhejiang University, China); Zhongyi Tang (State Grid, China); Ning Li (State Grid, China); Fei Wu (Zhejiang University, China)

  • Multi-relational Network Embeddings with Relational Proximity and Node Attributes

    Ming-Han Feng (National Taiwan University, Taiwan); Chin-Chi Hsu (Academia Sinica, Taiwan); Cheng-Te Li (National Cheng Kung University, Taiwan); Mi-Yen Yeh (Academia Sinica, Taiwan); Shou-De Lin (National Taiwan University, Taiwan)

  • Reply-aided Detection of Misinformation via Bayesian Deep Learning

    Qiang Zhang (University College London, United Kingdom); Aldo Lipani (University College London, United Kingdom); Shangsong Liang (Sun Yat-sen University, China); Emine Yilmaz (University College London, United Kingdom)

  • Constrained Local Graph Clustering by Colored Random Walk

    Yaowei Yan (Pennsylvania State University, United States); Yuchen Bian (Pennsylvania State University, United States); Dongsheng Luo (Pennsylvania State University, United States); Dongwon Lee (Pennsylvania State University, United States); Xiang Zhang (Pennsylvania State University, United States)

  • RiSER: Learning Better Representations for Richly Structured Emails

    Furkan Kocayusufoglu (University of California Santa Barbara, United States); Ying Sheng (Google, United States); Nguyen Vo (Google, United States); James Wendt (Google, United States); Qi Zhao (Google, United States); Sandeep Tata (Google, United States); Marc Najork (Google, United States)

  • What happened? The Spread of Fake News Publisher Content During the 2016 Election

    Ceren Budak (University of Michigan, United States)

  • From Stances’ Imbalance to their Hierarchical Representation and Detection

    Qiang Zhang (University College London, United Kingdom); Shangsong Liang (Sun Yat-sen University, China); Aldo Lipani (University College London, United Kingdom); Zhaochun Ren (JD.com, China); Emine Yilmaz (University College London, United Kingdom)

  • Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests

    Qingyun Wu (University of Virginia, United States); Huazheng Wang (University of Virginia, United States); Yanen Li (Snap, United States); Hongning Wang (University of Virginia, United States)

  • Generalists and Specialists: Using Community Embeddings to Quantify Activity Diversity in Online Platforms

    Isaac Waller (University of Toronto, Canada); Ashton Anderson (University of Toronto, Canada)

  • MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting

    Chao Huang (University of Notre Dame, United States); Chuxu Zhang (University of Notre Dame, United States); Jiashu Zhao (JD.com, China); Xian Wu (University of Notre Dame, United States); Nitesh Chawla (University of Notre Dame, United States); Dawei Yin (JD.com, China)

  • Shapley meets Uniform: An Axiomatic Framework for Attribution in Online Advertising

    Raghav Singal (Columbia University, United States); Omar Besbes (Columbia University, United States); Antoine Desir (INSEAD, France); Vineet Goyal (Columbia University, United States); Garud Iyengar (Columbia University, United States)

  • Sarcasm Detection with Self-matching Networks and Low-rank Bllinear Pooling

    Tao Xiong (Ant Financial, Hangzhou, China); Peiran Zhang (Alibaba Group, China); Hongbo Zhu (Alibaba Group, China); Yihui Yang (AfterPay, China)

  • Learning to Generate Questions by Learning What not to Generate

    Bang Liu (University of Alberta, Canada); Mingjun Zhao (University of Alberta, Canada); Di Niu (University of Alberta, Canada); Kunfeng Lai (Hong Kong Polytechnic University, China); Yancheng He (Tencent, China); Haojie Wei (Tencent, China); Yu Xu (Tencent, China)

  • Exploiting Diversity in Android TLS Implementations for Mobile App Traffic Classification

    Satadal Sengupta (Indian Institute of Technology Kharagpur, India); Niloy Ganguly (Indian Institute of Technology Kharagpur, India); Pradipta De (Georgia Southern University, United States); Sandip Chakraborty (Indian Institute of Technology Kharagpur, India)

  • Blockchain Mining Games with Pay-Forward

    Philip Lazos (University of Oxford, United Kingdom); Elias Koutsoupias (University of Oxford, United Kingdom); Foluso Ogunlana (University of Oxford, United Kingdom); Paolo Serafino (University of Oxford, United Kingdom)

  • “Data Strikes”: Evaluating the Effectiveness of New Forms of Collective Action Against Technology Platforms

    Nicholas Vincent (Northwestern University, United States); Brent Hecht (Northwestern University, United States); Shilad Sen (Macalester College, United States)

  • Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding

    Shiv Kumar Saini (Adobe Research, India); Sunny Dhamnani (Adobe Research, India); Aakash S (Indian Institute of Technology Madras, India); Akil Arif Ibrahim (Indian Institute of Technology Roorkee, India); Prithviraj Chavan (Adobe, India)

  • Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

    Jiaxuan You (Stanford University, United States); Yichen Wang (Georgia Institute of Technology, United States); Aditya Pal (Pinterest, United States); Pong Eksombatchai (Pinterest, United States); Chuck Rosenburg (Pinterest, United States); Jure Leskovec (Stanford University, United States)

  • Decoupled smoothing on graphs

    Alex Chin (Stanford University, United States); Yatong Chen (Stanford University, United States); Kristen M. Altenburger (Stanford University, United States); Johan Ugander (Stanford University, United States)

  • Aspect-level Sentiment Analysis using AS-Capsules

    Yequan Wang (Tsinghua University, China); Aixin Sun (Nanyang Technological University, Singapore); Minlie Huang (Tsinghua University, China); Xiaoyan Zhu (Tsinghua University, China)

  • Quality Effects on User Preferences and Behaviors in Mobile News Streaming

    Hongyu Lu (Tsinghua University, China); Min Zhang (Tsinghua University, China); Weizhi Ma (Tsinghua University, China); Yunqiu Shao (Tsinghua University, China); Yiqun Liu (Tsinghua University, China); Shaoping Ma (Tsinghua University, China)

  • Anything to Hide? Studying Minified and Obfuscated Code in the Web

    Philippe Skolka (TU Darmstadt, Germany); Cristian-Alexandru Staicu (TU Darmstadt, Germany); Michael Pradel (TU Darmstadt, Germany)

  • Short Papers

  • Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations

    Hongyang Gao (Texas A&M University, United States); Yongjun Chen (Washington State University, United States); Shuiwang Ji (Texas A&M University, United States)

  • A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs

    Jeffery Ansah (University of South Australia, Australia); Lin Liu (University of South Australia, Australia); Wei Kang (University of South Australia, Australia); Selasie Kwashie (University of South Australia, Australia); Jixue Liu (University of South Australia, Australia); Jiuyong Li (University of South Australia, Australia)

  • Spatio-Temporal Capsule-based Reinforcement Learning for Mobility-on-Demand Network Coordination

    Suining He (University of Michigan, United States); Kang G. Shin (University of Michigan, United States)

  • Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems

    Changhua Pei (Alibaba Group, China); Xinru Yang (Carnegie Mellon University, United States); Qing Cui (Alibaba Group, China); Xiao Lin (Alibaba Group, China); Fei Sun (Alibaba Group, China); Peng Jiang (Alibaba Group, China); Wenwu Ou (Alibaba Group, China); Yongfeng Zhang (Rutgers University, United States)

  • A Tree-Structured Neural Network Model for Household Energy Breakdown

    Yiling Jia (University of Virginia, United States); Nipun Batra (Indian Institute of Technology Gandhinagar, India); Hongning Wang (University of Virginia, United States); Kamin Whitehouse (University of Virginia, United States)

  • Recurrent Convolutional Neural Network for Sequential Recommendation

    Chengfeng Xu (Soochow University, China); Pengpeng Zhao (Soochow University, China); Yanchi Liu (Rutgers University, United States); Jiajie Xu (Soochow University, China); Victor Sheng (University of Central Arkansas, United States); Zhiming Cui (Suzhou University of Science and Technology, China); Xiaofang Zhou (University of Queensland, Australia); Hui Xiong (State University of New Jersey, United States)

  • Rock, Rap, or Reggaeton?: Assessing Mexican Immigrants’ Cultural Assimilation Using Facebook Data

    Ian Stewart (Georgia Institute of Technology, United States); René Flores (University of Chicago, United States); Timothy Riffe (Max Planck Institute for Demographic Research, Germany); Ingmar Weber (Qatar Computing Research Institute, Qatar); Emilio Zagheni (Max Planck Institute for Demographic Research, Germany)

  • A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication

    Longtao Huang (Chinese Academy of Sciences, China); Ting Ma (Chinese Academy of Sciences, China); Junyu Lin (Chinese Academy of Sciences, China); Jizhong Han (Chinese Academy of Sciences, China); Songlin Hu (Chinese Academy of Sciences, China)

  • Click Feedback-Aware Query Recommendation Using Adversarial Examples

    Ruirui Li (University of California Los Angeles, United States); Liangda Li (Yahoo Research and Oath, United States); Xian Wu (University of Notre Dame, United States); Yunhong Zhou (Yahoo Research and Oath, United States); Wei Wang (University of California Los Angeles, United States)

  • Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering

    Dong-Kyu Chae (Hanyang University, South Korea); Jin-Soo Kang (Hanyang University, South Korea); Sang-Wook Kim (Hanyang University, South Korea); Jaeho Choi (Naver Corporation, South Korea)

  • Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss

    Shaojie Jiang (University of Amsterdam, Netherlands); Pengjie Ren (University of Amsterdam, Netherlands); Christof Monz (University of Amsterdam, Netherlands); Maarten de Rijke (University of Amsterdam, Netherlands)

  • Knowledge Graph Convolutional Networks for Recommender Systems

    Hongwei Wang (Shanghai Jiao Tong University, China); Miao Zhao (Hong Kong Polytechnic University, Hong Kong); Xing Xie (Microsoft, China); Wenjie Li (Hong Kong Polytechnic University, Hong Kong); Minyi Guo (Shanghai Jiao Tong University, China)

  • ViTOR: Learning to Rank Webpages Based on Visual Features

    Bram van den Akker (University of Amsterdam, Netherlands); Ilya Markov (University of Amsterdam, Netherlands); Maarten de Rijke (University of Amsterdam, Netherlands)

  • BotCamp: Bot-driven Interactions in Social Campaigns

    Noor Abu-El-Rub (University of New Mexico, United States); Abdullah Mueen (University of New Mexico, United States)

  • The Silent Majority Speaks: Inferring Silent Users’ Opinions in Online Social Networks

    Lei Wang (Beihang University, China); Jianwei Niu (Beihang University, China); Xuefeng Liu (Beihang University, China); Kaili Mao (Beihang University, China)

  • A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps

    Jathushan Rajasegaran (CSIRO, Australia); Naveen Karunanayake (CSIRO, Australia); Ashanie Gunathillake (University of Sydney, Australia); Suranga Seneviratne (University of Sydney, Australia); Guillaume Jourjon (CSIRO, Australia)

  • Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks

    Yongqing Wang (Chinese Academy of Sciences, China); Huawei Shen (Chinese Academy of Sciences, China); Jinhua Gao (Chinese Academy of Sciences, China); Xueqi Cheng (Chinese Academy of Sciences, China)

  • Context-Sensitive Malicious Spelling Error Correction

    Hongyu Gong (University of Illinois Urbana-Champaign, United States); Yuchen Li (University of Illinois Urbana-Champaign, United States); Suma Bhat (University of Illinois Urbana-Champaign, United States); Pramod Viswanath (University of Illinois Urbana-Champaign, United States)

  • A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts

    Xueying Wang (University of Notre Dame, United States); Haiqiao Zhang (University of Notre Dame, United States); Qi Li (University of Notre Dame, United States); Yiyu Shi (University of Notre Dame, United States); Meng Jiang (University of Notre Dame, United States)

  • MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation

    Fenglong Ma (State University of New York Buffalo, United States); Yaliang Li (Tencent Medical AI Lab, United States); Chenwei Zhang (University of Illinois Chicago, United States); Jing Gao (State University of New York Buffalo, United States); Nan Du (Tencent Medical AI Lab, United States); Wei Fan (Tencent Medical AI Lab, United States)

  • Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization

    Junxin Liu (Tsinghua University, China); Fangzhao Wu (Microsoft, China); Chuhan Wu (Tsinghua University, China); Yongfeng Huang (Tsinghua University, China); Xing Xie (Microsoft, China)

  • FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics

    Caitlin Kuhlman (Worcester Polytechnic Institute, United States); Maryann Vanvalkenburg (Worcester Polytechnic Institute, United States); Elke Rundensteiner (Worcester Polytechnic Institute, United States)

  • Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm

    Ziniu Hu (University of California Los Angeles, United States); Yang Wang (Bytedance AI Lab, China); Qu Peng (Bytedance AI Lab, China); Hang Li (Bytedance AI Lab, China)

  • Understanding Urban Dynamics via State-sharing Hidden Markov Model

    Tong Xia (Tsinghua University, China); Yue Yu (Tsinghua University, China); Fengli Xu (Tsinghua University, China); Yong Li (Tsinghua University, China); Funing Sun (Tencent Inc., China); Diansheng Guo (Tencent Inc., China)

  • The Monopolistic Auction and Bitcoin's Fee Market

    Ron Lavi (Technion - Israel Institute of Technology, Israel); Or Sattath (Hebrew University of Jerusalem, Israel); Aviv Zohar (Hebrew University of Jerusalem, Israel)

  • Place Deduplication with Embeddings

    Carl Yang (University of Illinois Urbana-Champaign, United States); Huy Hoang Do (Facebook, United States); Tomas Mikolov (Facebook, United States); Jiawei Han (University of Illinois Urbana-Champaign, United States)

  • Learning Novelty-Aware Ranking of Answers to Complex Questions

    Shahar Harel (Technion - Israel Institute of Technology, Israel); Sefi Albo (Technion - Israel Institute of Technology, Israel); Eugene Agichtein (Emory University, United States); Kira Radinsky (Technion - Israel Institute of Technology, Israel)

  • Unnecessarily Identifiable: Quantifying the fingerprintability of browser extensions due to bloat

    Oleksii Starov (State University of New York Stony Brook, United States); Pierre Laperdrix (State University of New York Stony Brook, United States); Alexandros Kapravelos (North Carolina State University, United States); Nick Nikiforakis (State University of New York Stony Brook, United States)

  • Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media

    Mengfan Yao (State University of New York Albany, United States); Charalampos Chelmis (State University of New York Albany, United States); Daphney-Stavroula Zois (State University of New York Albany, United States)

  • Learning Fast Matching Models from Weak Annotations

    Xue Li (Microsoft, China); Zhipeng Luo (Microsoft, China); Hao Sun (Microsoft, China); Jianjin Zhang (Microsoft, China); Weihao Han (Microsoft, China); Xianqi Chu (Microsoft, China); Liangjie Zhang (Microsoft, China); Qi Zhang (Microsoft, China)

  • A large-scale study of Wikipedia users' quality of experience

    Flavia Salutari (Télécom ParisTech, France); Diego Da Hora (Google, Brazil); Gilles Dubuc (Wikimedia Foundation, France); Dario Rossi (Huawei Technologies, co. Ltd, France)

  • Rethinking the detection of child sexual abuse imagery on the Internet

    Elie Bursztein (Google, United States); Einat Clarke (Google, United States); Michelle DeLaune (National Center for Missing and Exploited Children, United States); David M. Elifff (National Center for Missing and Exploited Children, United States); Nick Hsu (National Center for Missing and Exploited Children, United States); Lindsey Olson (National Center for Missing and Exploited Children, United States); John Shehan (National Center for Missing and Exploited Children, United States); Madhukar Thakur (Google, United States); Kurt Thomas (Google, United States); Travis Bright (Google, United States)

  • HopRank: How Semantic Structure Influences Teleportation in PageRank

    Lisette Espín-Noboa (University of Koblenz-Landau, Germany); Florian Lemmerich (RWTH Aachen University, Germany); Markus Strohmaier (RWTH Aachen University, Germany); Mark Musen (Stanford University, United States); Simon Walk (Detego GmbH, Austria)

  • DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

    Canwen Xu (Wuhan University, China); Jing Li (Nanyang Technological University, Singapore); Xiangyang Luo (State Key Lab of Mathematical Engineering and Advanced Computing, China); Jiaxin Pei (Wuhan University, China); Chenliang Li (Wuhan University, China); Donghong Ji (Wuhan University, China)

  • Semi-supervised Multi-view Individual and Sharable Feature Learning for Webpage Classification

    Fei Wu (Nanjing University of Posts and Telecommunications, China); Xiao-Yuan Jing (Wuhan University and Nanjing University of Posts and Telecommunications, China); Jun Zhou (Nanjing University of Posts and Telecommunications, China); Yimu Ji (Nanjing University of Posts and Telecommunications, China); Chao Lan (University of Wyoming, United States); Qinghua Huang (Nanjing University of Posts and Telecommunications, China); Ruchuan Wang (Nanjing University of Posts and Telecommunications, China)

  • Collaborative Similarity Embedding for Recommender Systems

    Chih-Ming Chen (National Chengchi University and Academia Sinica, Taiwan); Chuan-Ju Wang (Academia Sinica, Taiwan); Ming-Feng Tsai (National Chengchi University, Taiwan); Yi-Hsuan Yang (Academia Sinica, Taiwan)

  • Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records

    Min Du (University of California Berkeley, United States); Robert Christensen (Visa Research, United States); Wei Zhang (Visa Research, United States); Feifei Li (University of Utah, United States)

  • TiSSA: A Time Slice Self-Attention Approach for Modeling Sequential User Behaviors

    Chenyi Lei (Alibaba Group, China)

  • Outage Prediction and Diagnosis for Cloud Service Systems

    Yujun Chen (Beihang University and Microsoft Research, China); Xian Yang (Microsoft, China); Qingwei Lin (Microsoft, China); Hongyu Zhang (University of Newcastle, Australia); Feng Gao (Microsoft, United States); Zhangwei Xu (Microsoft, United States); Yingnong Dang (Microsoft, United States); Dongmei Zhang (Microsoft, China); Hang Dong (Microsoft, China); Yong Xu (Microsoft, China); Hao Li (Microsoft, China); Yu Kang (Microsoft, China)

  • Improved Cross-Lingual Question Retrieval for Community Question Answering

    Andreas Rücklé (TU Darmstadt, Germany); Krishnkant Swarnkar (TU Darmstadt, Germany); Iryna Gurevych (TU Darmstadt, Germany)

  • No More than What I Post: Preventing Linkage Attacks on Check-in Services

    Fengli Xu (Tsinghua University, China); Zhen Tu (Tsinghua University, China); Hongjia Huang (Tsinghua University, China); Shuhao Chang (Tsinghua University, China); Yong Li (Tsinghua University, China)

  • Predicting pregnancy using large-scale data from a women’s health tracking mobile application

    Bo Liu (Stanford University, United States); Shuyang Shi (Stanford University, United States); Yongshang Wu (Stanford University, United States); Daniel Thomas (Clue by BioWink GmbH, Germany); Laura Symul (Stanford University, United States); Emma Pierson (Stanford University, United States); Jure Leskovec (Stanford University, United States)

  • User-Video Co-Attention Network for Personalized Micro-video Recommendation

    Shang Liu (Wuhan University, China); Zhenzhong Chen (Wuhan University, China); Hongyi Liu (Amazon, United States); Xinghai Hu (Facebook, United States)

  • Semantic Hilbert Space for Text Representation Learning

    Benyou Wang (University of Padua, Italy); Qiuchi Li (University of Padua, Italy); Massimo Melucci (University of Padua, Italy); Dawei Song (Beijing Institute of Technology, China; Open University, United Kingdom)

  • Focusing Attention Network for Answer Ranking

    Yufei Xie (Qiniu AtLab, China); Shuchun Liu (Qiniu AtLab, China); Tangren Yao (Qiniu AtLab, China); Yao Peng (Qiniu AtLab, China); Zhao Lu (East China Normal University, China)

  • TiFi: Taxonomy Induction for Fictional Domains

    Cuong Xuan Chu (Max Planck Institute for Informatics, Germany); Simon Razniewski (Max Planck Institute for Informatics, Germany); Gerhard Weikum (Max Planck Institute for Informatics, Germany)

  • Sampled in Pairs and Driven by Text: A New Graph Embedding Framework

    Liheng Chen (Shanghai Jiao Tong University, China); Yanru Qu (Shanghai Jiao Tong University, China); Zhenghui Wang (Shanghai Jiao Tong University, China); Lin Qiu (Shanghai Jiao Tong University, China); Weinan Zhang (Shanghai Jiao Tong University, China); Ken Chen (Synyi, China); Shaodian Zhang (Synyi, China); Yong Yu (Shanghai Jiao Tong University, China)

  • The Chain of Implicit Trust: An Analysis of the Web Third-party Resources Loading

    Muhammad Ikram (University of Michigan, United States; Macquarie University, Australia); Rahat Masood (University of New South Wales and Data61, Australia); Gareth Tyson (Queen Mary University of London and Alan Turing Institute, United Kingdom); Mohamed Ali Kaafar (Data61 and Macquarie University, Australia); Noha Loizon (Data61, France); Roya Ensafi (University of Michigan, United States)

  • Product-Aware Helpfulness Prediction of Online Reviews

    Miao Fan (Baidu Research, China); Chao Feng (Baidu Research, China); Lin Guo (Baidu Research, China); Mingming Sun (Baidu Research, China); Ping Li (Baidu Research, United States)

  • LAVA: Longitudinal Adversarial Attack on Electronic Health Records Data

    Sungtae An (Georgia Institute of Technology, United States); Cao Xiao (IBM, United States); Walter F. Stewart (HINT Consultants, United States); Jimeng Sun (Georgia Institute of Technology, United States)

  • What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Online Gaming

    Ziqiang Cheng (Zhejiang University, China); Yang Yang (Zhejiang University, China); Chenhao Tan (University of Colorado Boulder, United States); Denny Cheng (Tencent Corporation, China); Alex Cheng (Tencent Corporation, China); Yueting Zhuang (Zhejiang University, China)

  • Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network

    Yiming Zhang (West Virginia University, United States); Yujie Fan (West Virginia University, United States); Wei Song (West Virginia University, United States); Shifu Hou (West Virginia University, United States); Yanfang Ye (West Virginia University, United States); Xin Li (West Virginia University, United States); Liang Zhao (George Mason University, USA); Chuan Shi (Beijing University of Posts and Telecommunications, China); Jiabin Wang (Tencent Security Lab, China); Qi Xiong (Tencent Security Lab, China)

  • A Large-scale Study on the Risks of the HTML5 WebAPI for Mobile Sensor-based Attacks

    Francesco Marcantoni (University of Illinois Chicago, United States); Michalis Diamantaris (FORTH, Greece); Sotiris Ioannidis (FORTH, Greece); Jason Polakis (University of Illinois Chicago, United States)

  • Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text

    Guangneng Hu (Hong Kong University of Science and Technology, China); Yu Zhang (Hong Kong University of Science and Technology, China); Qiang Yang (Hong Kong University of Science and Technology, China)

  • Fuzzy Multi-task Learning for Hate Speech Type Identification

    Han Liu (Cardiff University, United Kingdom); Pete Burnap (Cardiff University, United Kingdom); Wafa Alorainy (Cardiff University, United Kingdom); Matthew Williams (Cardiff University, United Kingdom)

  • A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity

    Fanshuang Kong (Beihang University, China); Richong Zhang (Beihang University, China); Hongyu Guo (National Research Council Canada, Canada); Samuel Mensah (Beihang University, China); Zhiyuan Hu (Beihang University, China); Yongyi Mao (University of Ottawa, Canada)

  • MVAE: Multimodal Variational Autoencoder for Fake News Detection

    Dhruv Khattar (International Institute of Information Technology Hyderabad, India); Jaipal Singh Goud (International Institute of Information Technology Hyderabad, India); Manish Gupta (International Institute of Information Technology Hyderabad, India); Vasudeva Varma (International Institute of Information Technology Hyderabad, India)

  • Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality

    Aria Khademi (Pennsylvania State University, United States); Sanghack Lee (Purdue University, United States); David Foley (Pennsylvania State University, United States); Vasant Honavar (Pennsylvania State University, United States)

  • Learning clusters through information diffusion

    Liudmila Prokhorenkova (Moscow Institute of Physics and Technology and Yandex, Russia); Alexey Tikhonov (Yandex, Germany); Nelly Litvak (University of Twente, Netherlands)

  • Augmenting Knowledge Tracing by Considering Forgetting Behavior

    Koki Nagatani (Fuji Xerox, Japan); Qian Zhang (Fuji Xerox, Japan); Masahiro Sato (Fuji Xerox, Japan); Yan-Ying Chen (FX Palo Alto Laboratory, United States); Francine Chen (FX Palo Alto Laboratory, United States); Tomoko Ohkuma (Fuji Xerox, Japan)

  • Domain-aware Neural Model for Sequence Labeling using Joint Learning

    Huang Heng (Alibaba Group, China); Liu Xiaozhong (Alibaba Group, China); Yuliang Yan (Alibaba Group, China)

  • Context-Aware Sequential Recommendations with Stacked Recurrent Neural Networks

    Lakshmanan Rakkappan (National University of Singapore, Singapore); Vaibhav Rajan (National University of Singapore, Singapore)

  • Understanding Reader Backtracking Behavior in Online News Articles

    Uzi Smadja (Technion - Israel Institute of Technology, Israel); Max Grusky (Cornell Tech, United States); Yoav Artzi (Cornell Tech, United States); Mor Naaman (Cornell Tech, United States)

  • Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space

    Yi-Fan Li (University of Texas Dallas, United States); Yang Gao (University of Texas Dallas, United States); Gbadebo Ayoade (University of Texas Dallas, United States); Khan Latifur (University of Texas Dallas, United States); Hemeng Tao (University of Texas Dallas, United States); Bhavani Thuraisingham (University of Texas Dallas, United States)

  • Efficient Neural Ranking with LSH-based Word Embeddings

    Shiyu Ji (University of California Santa Barbara, United States); Jinjin Shao (University of California Santa Barbara, United States); Tao Yang (University of California Santa Barbara, United States)

  • Globally-Optimized Realtime Supply-Demand Matching in On-Demand Ridesharing

    Yifang Liu (Smule, United States); Will Skinner (Engine ML, United States); Chongyuan Xiang (Opendoor Labs, United States)

  • Recommender Systems with Heterogeneous Side Information

    Tianqiao Liu (TAL AI Lab, China); Zhiwei Wang (Michigan State University, United States); Jiliang Tang (Michigan State University, United States); Songfan Yang (TAL AI Lab, China); Zitao Liu (TAL AI Lab, China)

  • Signals Matter: Understanding Popularity and Impact of Users on Stack Overflow

    Arpit Merchant (Indraprastha Institute of Information Technology, India); Daksh Shah (Indraprastha Institute of Information Technology, India); Gurpreet Singh Bhatia (Indraprastha Institute of Information Technology, India); Anurag Ghosh (International Institute of Information Technology Hyderabad, India); Ponnurangam Kumaraguru (Indraprastha Institute of Information Technology, India)

  • Triple Trustworthiness Measurement for Knowledge Graph

    Shengbin Jia (Tongji University, China); Yang Xiang (Tongji University, China); Xiaojun Chen (Tongji University, China); Kun Wang (East China Normal University, China); Shijia E (Tongji University, China)

  • Multi-Domain Gated CNN for Review Helpfulness Prediction

    Cen Chen (Ant Financial, Singapore); Minghui Qiu (Singapore Management University, Singapore); Yinfei Yang (Redfin, United States); Jun Zhou (Ant Financial, China); Jun Huang (Alibaba Cloud, China); Xiaolong Li (Ant Financial Group, China); Forrest Sheng Bao (Iowa State University, United States)

  • Mobile App Risk Ranking via Exclusive Sparse Coding

    Deguang Kong (Yahoo Research, United States); Lei Cen (Purdue University, United States)

  • Deriving User- and Content-specific Rewards for Contextual Bandits

    Paolo Dragone (University of Trento, Italy); Rishabh Mehrotra (Spotify, United Kingdom); Mounia Lalmas (Spotify, United Kingdom)

  • Global Vectors for Node Representation

    Robin Brochier (DSRT, France); Adrien Guille (Université Lumière Lyon 2, France); Julien Velcin (Université de Lyon 2, France)

  • Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods

    A B M Moniruzzaman (Queensland University of Technology, Australia); Richi Nayak (Queensland University of Technology, Australia); Maolin Tang (Queensland University of Technology, Australia); Thirunavukarasu Balasubramaniam (Queensland University of Technology, Australia)

  • Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation

    Laure Berti-Equille (Institute of Research for Development, France)

  • Hierarchical Neural Variational Model for Personalized Sequential Recommendation

    Teng Xiao (Sun Yat-sen University, China); Shangsong Liang (Sun Yat-sen University, China); Zaiqiao Meng (Sun Yat-sen University, China)

  • Genre Differences of Song Lyrics and Artist Wikis: An Analysis of Popularity, Length, Repetitiveness, and Readability

    Markus Schedl (Johannes Kepler University, Austria)

  • Context-aware Variational Trajectory Encoding and Human Mobility Inference

    Fan Zhou (University of Science and Technology of China, China); Xiaoli Yue (University of Science and Technology of China, China); Goce Trajcevski (Iowa State University, United States); Ting Zhong (University of Science and Technology of China, China); Kunpeng Zhang (University of Maryland, United States)

  • Adversarial Point-of-Interest Recommendation

    Fan Zhou (University of Science and Technology of China, China); Ruiyang Yin (University of Science and Technology of China, China); Kunpeng Zhang (University of Maryland, United States); Goce Trajcevski (Iowa State University, United States); Ting Zhong (University of Science and Technology of China, China); Jin Wu (University of Science and Technology of China, China)

  • Predicting Human Mobility via Variational Attention

    Qiang Gao (University of Science and Technology of China, China); Fan Zhou (University of Science and Technology of China, China); Goce Trajcevski (Iowa State University, United States); Kunpeng Zhang (University of Maryland, United States); Ting Zhong (University of Science and Technology of China, China); Fengli Zhang (University of Science and Technology of China, China)

  • Variational Session-based Recommendation Using Normalizing Flows

    Fan Zhou (University of Science and Technology of China, China); Zijing Wen (University of Science and Technology of China, China); Kunpeng Zhang (University of Maryland, United States); Goce Trajcevski (Iowa State University, United States); Ting Zhong (University of Science and Technology of China, China)

  • Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning

    Zhou Zhao (Zhejiang University, China); Haojie Pan (Zhejiang University, China); Changjie Fan (NetEase Fuxi AI Lab, China); Deng Cai (Zhejiang University, China); Min Yang (Shenzhen Institutes of Advanced Technology, China)

  • Tag2Vec: Learning Tag Representations in Tag Networks

    Junshan Wang (Peking University, China); Zhicong Lu (Peking University, China); Guojie Song (Peking University, China); Yue Fan (Peking University, China); Lun Du (Peking University, China)

  • A Novel Generative Topic Embedding Model by Introducing Network Communities

    Di Jin (Tianjin University, China); Jiantao Huang (Tianjin University, China); Pengfei Jiao (Tianjin University, China); Liang Yang (Hebei University of Technology, China); Dongxiao He (Tianjin University, China); Françoise Soulie-Fogelman (Tianjin University, China); Yuxiao Huang (George Washington University, United States)

  • Search Mindsets: Understanding Focused and Non-Focused Information Seeking in Music Search

    Ang Li (University of Pittsburgh, United States); Jennifer Thom (Spotify, United States); Praveen Chandar (Spotify, United States); Christine Hosey (Spotify, United States); Brian St. Thomas (Spotify, United States); Jean Garcia-Gathright (Spotify, United States)

  • TableNet: An approach for determining fine-grained relations for Wikipedia tables

    Besnik Fetahu (L3S Research Center, Germany); Avishek Anand (L3S Research Center, Germany); Maria Koutraki (FIZ Karlsruhe, Germany)

  • Evaluating Neural Text Simplification in the Medical Domain

    Laurens van den Bercken (Delft University of Technology and myTomorrows, Netherlands); Robert-Jan Sips (myTomorrows, Netherlands); Christoph Lofi (Delft University of Technology, Netherlands)

  • Firsthand opiates abuse on social media: monitoring geospatial patterns of interest through a digital cohort

    Duilio Balsamo (ISI Foundation, Italy); Paolo Bajardi (ISI Foundation, Italy); André Panisson (ISI Foundation, Italy)

  • Growing Attributed Networks through Local Processes

    Harshay Shah (University of Illinois Urbana-Champaign, United States); Suhansanu Kumar (University of Illinois Urbana-Champaign, United States); Hari Sundaram (University of Illinois Urbana-Champaign, United States)

  • The Music Streaming Sessions Dataset

    Brian Brost (Spotify Research, United Kingdom); Rishabh Mehrotra (Spotify Research, United Kingdom); Tristan Jehan (Spotify Research, United States)

  • Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents

    Rabah Alzaidy (Pennsylvania State University, United States); Cornelia Caragea (University of Illinois Chicago, United States); C. Lee Giles (Pennsylvania State University, United States)

  • Open World Learning for Product Classification

    Hu Xu (University of Illinois Chicago, United States); Bing Liu (University of Illinois Chicago, United States); Lei Shu (University of Illinois Chicago, United States); Philip S. Yu (University of Illinois Chicago, United States)

  • An Investigation of Cyber Autonomy on Government Websites

    Hsu-Chun Hsiao (National Taiwan University, Taiwan); Tiffany Hyun-Jin Kim (HRL Laboratories, United States); Yu-Ming Ku (National Taiwan University, Taiwan); Chun-Ming Chang (National Taiwan University, Taiwan); Hung-Fang Chen (National Taiwan University, Taiwan); Yu-Jen Chen (National Taiwan University, Taiwan); Chun-Wen Wang (Cornell University, United States); Wei Jeng (National Taiwan University, Taiwan)

  • Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference

    Shichao Pei (King Abdullah University of Science and Technology, Saudi Arabia); Lu Yu (King Abdullah University of Science and Technology, Saudi Arabia); Robert Hoehndorf (King Abdullah University of Science and Technology, Saudi Arabia); Xiangliang Zhang (King Abdullah University of Science and Technology, Saudi Arabia)

  • Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis

    Shirin Nilizadeh (University of Texas Arlington, United States); Hojjat Aghakhani (University of California Santa Barbara, United States); Eric Gustafson (University of California Santa Barbara, United States); Christopher Kruegel (University of California Santa Barbara, United States); Giovanni Vigna (University of California Santa Barbara, United States)

  • Learning Intent to Book Metrics for Airbnb Search

    Bradley Turnbull (Airbnb, United States)

  • ϵ-Diagnosis: Unsupervised and Real-time Diagnosis of Small-window Long-tail Latency in Large-scale Microservice Platforms

    Huasong Shan (JD.com, United States); Yuan Chen (JD.com, United States); Haifeng Liu (JD.com, China); Yunpeng Zhang (JD.com, China); Xiao Xiao (JD.com, China); Xiaofeng He (JD.com, China); Min Li (JD.com, United States); Wei Ding (JD.com, United States)

  • Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification

    Huiru Xiao (Hong Kong University of Science and Technology, Hong Kong); Xin Liu (Hong Kong University of Science and Technology, Hong Kong); Yangqiu Song (Hong Kong University of Science and Technology, Hong Kong)

  • Event Detection and Extraction using Hierarchical Multi-Aspect Attention

    Sneha Mehta (Virginia Tech, United States); M. Raihanul Islam (Virginia Tech, United States); Huzefa Rangwala (George Mason University, United States); Naren Ramakrishnan (Virginia Tech, United States)

  • On the Impact of Choice Architectures on Inequality in Online Donation Platforms

    Abhijnan Chakraborty (Max Planck Institute for Software Systems, Germany); Nuno Mota (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Asia J. Biega (Max Planck Institute for Informatics, Germany); Krishna P. Gummadi (Max Planck Institute for Software Systems, Germany); Hoda Heidari (ETH Zurich, Switzerland)

  • Pythia: a Framework for Automatic Analysis of Web Hosting Environments

    Srdjan Matic (University College London, United Kingdom); Gareth Tyson (Queen Mary University of London, United Kingdom); Gianluca Stringhini (Boston University, United States)

  • Detection and Analysis of Self-Disclosure in Online News Commentaries

    Prasanna Umar (Pennsylvania State University, United States); Anna Squicciarini (Pennsylvania State University, United States); Sarah Rajtmajer (Pennsylvania State University, United States)

  • Entity Personalized Talent Search Models with Tree Interaction Features

    Cagri Ozcaglar (LinkedIn, United States); Sahin Geyik (LinkedIn, United States); Brian Schmitz (LinkedIn, United States); Prakhar Sharma (LinkedIn, United States); Alex Shelkovnykov (LinkedIn, United States); Yiming Ma (LinkedIn, United States); Erik Buchanan (LinkedIn, United States)

  • Event-Driven Analysis of Crowd Dynamics in the Black Lives Matter Online Social Movement

    Hao Peng (University of Michigan, United States); Ceren Budak (University of Michigan, United States); Daniel Romero (University of Michigan, United States)

  • Online Learning for Measuring Incentive Compatibility in Ad Auctions

    Zhe Feng (Harvard University, United States); Okke Schrijvers (Facebook Research, United States); Eric Sodomka (Facebook Research, United States)

  • Constructing Test Collections using Multi-armed Bandits and Active Learning

    Md Mustafizur Rahman (University of Texas Austin, United States); Mucahid Kutlu (TOBB University of Economics and Technology, Turkey); Matthew Lease (University of Texas Austin, United States)

  • Modeling the Factors of User Success in Online Debate

    Esin Durmus (Cornell University, United States); Claire Cardie (Cornell University, United States)

  • Improving Top-k Recommendation via Joint Collaborative Autoencoders

    Ziwei Zhu (Texas A&M University, United States); Jianling Wang (Texas A&M University, United States); James Caverlee (Texas A&M University, United States)

  • Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues

    Shanu Kumar (Indian Institute of Technology Kanpur, India); Shubham Atreja (IBM, India); Anjali Singh (IBM, India); Mohit Jain (IBM, India)

  • Measuring Political Personalization of Google News Search

    Huyen Le (University of Iowa, United States); Raven Maragh (University of Iowa, United States); Brian Ekdale (University of Iowa, United States); Timothy Havens (University of Iowa, United States); Andrew High (University of Iowa, United States); Zubair Shafiq (University of Iowa, United States)

  • Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews

    Kristen M. Altenburger (Stanford University, United States); Daniel E. Ho (Stanford Law School, United States)

  • What Is in Your Password? Analyzing Memorable and Secure Passwords using a Tensor Decomposition

    Youjin Shin (State University of New York Korea, South Korea); Simon Woo (State University of New York Korea, South Korea)

  • The few-get-richer: a surprising consequence of popularity-based rankings

    Fabrizio Germano (Universitat Pompeu Fabra, Spain); Vicenç Gomez (Universitat Pompeu Fabra, Spain); Gael Le Mens (Universitat Pompeu Fabra, Spain)

  • A Scalable Hybrid Research Paper Recommender Platform for Microsoft Academic

    Anshul Kanakia (Microsoft, United States); Zhihong Shen (Microsoft, United States); Darrin Eide (Microsoft, United States); Kuansan Wang (Microsoft, United States)

  • Learning Task-Specific City Region Partitions

    Hongjian Wang (Pennsylvania State University, United States); Porter Jenkins (Pennsylvania State University, United States); Hua Wei (Pennsylvania State University, United States); Fei Wu (Pennsylvania State University, United States); Zhenhui Li (Pennsylvania State University, United States)

  • Personalized Online Spell Correction for Personal Search

    Jai Gupta (Google, United States); Zhen Qin (Google, United States); Michael Bendersky (Google, United States); Donald Metzler (Google, United States)

  • Embarrassingly Shallow Autoencoders for Sparse Data

    Harald Steck (Netflix, United States)

  • Topic Structure-Aware Neural Language Models

    Noriaki Kawamae (NTT Comware, Japan)

  • TurkScanner: Predicting the Hourly Wage of Microtasks

    Susumu Saito (Waseda University, Japan); Chun-Wei Chiang (West Virginia University, United States); Saiph Savage (West Virginia University, United States); Teppei Nakano (Waseda University, Japan); Tetsunori Kobayashi (Waseda University, Japan); Jeffrey Bigham (Carnegie Mellon University, United States)

  • Parametric Models for Intransitivity in Pairwise Rankings

    Rahul Makhijani (Stanford University, United States); Johan Ugander (Stanford University, United States)

  • The Illusion of Change: Correcting for Bias when Inferring Changes in Sparse, Societal-Scale Data

    Gabriel Cadamuro (University of Washington, United States); Ramya Korlakai Vinayak (University of Washington, United States); Joshua Blumenstock (University of California Berkeley, United States); Sham Kakade (University of Washington, United States); Jacob Shapiro (Princeton University, United States)

  • On Convexity and Bounds of Fairness-aware Classification

    Yongkai Wu (University of Arkansas, United States); Lu Zhang (University of Arkansas, United States); Xintao Wu (University of Arkansas, United States)

  • Maximizing Marginal Utility per Dollar for Economic Recommendation

    Yingqiang Ge (Rutgers University, United States); Shuyuan Xu (Rutgers University, United States); Shuchang Liu (Rutgers University, United States); Shijie Geng (Rutgers University, United States); Zuohui Fu (Rutgers University, United States); Yongfeng Zhang (Rutgers University, United States)

  • City-Wide Signal Strength Maps: Prediction with Random Forests

    Emmanouil Alimpertis (University of California Irvine, United States); Athina Markopoulou (University of California Irvine, United States); Carter Butts (University of California Irvine, United States); Konstantinos Psounis (University of Southern California, United States)

  • The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets

    Yunhe Feng (University of Tennessee, United States); Wenjun Zhou (University of Tennessee Knoxville, United States); Zheng Lu (University of Tennessee, United States); Zhibo Wang (Wuhan University, China); Qing Cao (University of Tennessee, United States)

  • Extracting Product Defects and Solutions from Online Reviews

    Xuan Zhang (Virginia Tech, United States); Zhilei Qiao (University of Alabama Birmingham, United States); Aman Ahuja (Virginia Tech, United States); Weiguo Fan (University of Iowa, United States); Edward Fox (Virginia Tech, United States); Chandan K. Reddy (Virginia Tech, United States)

  • CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users

    Dilruk Perera (National University of Singapore, Singapore); Roger Zimmermann (National University of Singapore, Singapore)

  • BoFGAN: Towards A New Structure of Backward-or-Forward Generative Adversarial Nets

    M.K.Sophie Chen (Peking University, China); Xinyi Lin (Peking University, China); Chen Wei (Turing Robot, China); Rui Yan (Peking University, China)

  • Adaptive MAtrix Completion for the users and the items in tail

    Mohit Sharma (WalmartLabs, United States); George Karypis (University of Minnesota, United States)

  • Enhancing Fashion Recommendation with Visual Compatibility Relationship

    Ruiping Yin (Beijing Institute of Technology, China); Kan Li (Beijing Institute of Technology, China); Jie Lu (University of Technology Sydney, Australia); Guangquan Zhang (University of Technology Sydney, Australia)

  • Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning

    Jing Ma (Chinese University of Hong Kong, Hong Kong); Wei Gao (Victoria University of Wellington, New Zealand); Kam-Fai Wong (Chinese University of Hong Kong, Hong Kong)

  • Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation

    Fangzhao Wu (Microsoft, China); Junxin Liu (Tsinghua University, China); Chuhan Wu (Tsinghua University, China); Yongfeng Huang (Tsinghua University, China); Xing Xie (Microsoft, China)

  • With a little help from my friends (and their friends): Influence neighborhoods for social recommendations

    Avni Gulati (San Jose State University, United States); Magdalini Eirinaki (San Jose State University, United States)

  • Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network

    Fred.X Han (University of Alberta, Canada); Di Niu (University of Alberta, Canada); Kunfeng Lai (Tencent, China); Weidong Guo (Tencent, China); Yancheng He (Tencent, China); Yu Xu (Tencent, China)

  • Improving Multiclass Classification in Crowsourcing by Using Hierarchical Schemes

    Xiaoni Duan (Kyoto University, Japan); Keishi Tajima (Kyoto University, Japan)

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