Accepted Papers

Research Track Papers

  • A free energy based approach for distance metric learning Authors: Sho Inaba (University of Massachusetts Boston);Carl Fakhry (University of Massachusetts Boston);Rahul Kulkarni (University of Massachusetts Boston);Kourosh Zarringhalam (University of Massachusetts Boston);
  • A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction Authors: Qingxin Meng (Rutgers- the State University of New Jersey);Hengshu Zhu (Baidu);Keli Xiao (Stony Brook University);Le Zhang (School of Computer Science, University of Science and Technology of China);Hui Xiong (Rutgers- the State University of New Jersey);
  • A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets Authors: Pinghui Wang (Xi'an Jiaotong University);Yiyan Qi (Xi'an Jiaotong University);Yuanming Zhang (Xi'an Jiaotong University);Chenxu Wang (Xi'an Jiaotong University);Qiaozhu Zhai (Xi'an Jiaotong University);Xiaohong Guan (Xi'an Jiaotong University);John C.S. Lui ( Tsinghua University);
  • A Minimax Game for Instance based Selective Transfer Learning Authors: Bo Wang (alibaba);Minghui Qiu (Alibaba);Xisen Wang (USTC);Yaliang Li (Alibaba);Yu Gong (Alibaba);Xiaoyi Zeng (Alibaba);Jun Huang (alibaba);Bo Zheng (Alibaba);Deng Cai (Zhejiang University);Jingren Zhou (Alibaba);
  • A Multiscale Scan Statistic for Adaptive Submatrix Localization Authors: Yuchao Liu (Microsoft);Ery Arias-Castro (University of California San Diego);
  • A permutation approach to assess confounding in machine learning applications for digital health Authors: Elias Chaibub Neto (Sage Bionetworks);Abhishek Pratap (Sage Bionetworks);Thanneer Perumal (Sage Bionetworks);Meghasyam Tummalacherla (Sage Bionetworks);Brian Bot (Sage Bionetworks);Lara Mangravite (Sage Bionetworks);Larsson Omberg (Sage Bionetworks);
  • A Representation Learning Framework for Property Graphs Authors: Yifan Hou (The Chinese University of Hong Kong);Hongzhi Chen (The Chinese University of Hong Kong);Changji Li (The Chinese University of Hong Kong);James Cheng (The Chinese University of Hong Kong);Ming-Chang Yang (The Chinese University of Hong Kong);
  • Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability Authors: Yang Yang (NanJing university);Da-Wei Zhou (Nanjing University);De-Chuan Zhan (Nanjing University);Hui Xiong (Rutgers University);Yuan Jiang (Nanjing University);
  • Adaptive Graph Guided Disambiguation for Partial Label Learning Authors: Dengbao Wang (Southwest University);Li Li (Southwest University);Min-Ling Zhang (Southeast University);
  • Adaptive Unsupervised Feature Selection on Attributed Networks Authors: Jundong Li (Arizona State University);Ruocheng Guo (Arizona State University);Chenghao Liu (Singapore Management University);Huan Liu (Arizona State University);
  • Adaptive-Halting Policy Network for Early Classification Authors: Thomas Hartvigsen (Worcester Polytechnic Institute);Cansu Sen (Worcester Polytechnic Institute);Xiangnan Kong (Worcester Polytechnic Institute);Elke Rundensteiner (Worcester Polytechnic Institute);
  • Adversarial Learning on Heterogeneous Information Networks Authors: Binbin Hu (Beijing University of Posts and Telecommunications && AI Department, Ant Financial Services Group);Yuan Fang (Singapore Management University);Chuan Shi (Beijing University of Posts and Telecommunications);
  • Adversarial Substructured Representation Learning for Mobile User Profiling Authors: Pengyang Wang (Missouri University of Science and Technology);Yanjie Fu (Missouri University of Science and Technology);Xiaolin Li (Nanjing University);Hui Xiong (Rutgers University);
  • Adversarial Variational Embedding for Robust Semi-supervised Learning Authors: Xiang Zhang (The University of New South Wales);Lina Yao (The University of New South Wales);Feng Yuan (The University of New South Wales);
  • Adversarially Robust Submodular Maximization under Knapsack Constraints Authors: Dmitrii Avdiukhin (Indiana University Bloomington);Slobodan Mitrovic (MIT);Grigory Yaroslavtsev (Indiana University Bloomington);Samson Zhou (Indiana University Bloomington);
  • An Visual Dialog Augmented Interactive Recommender System Authors: Tong Yu (Samsung Electronics);Yilin Shen (Samsung Electronics);Hongxia Jin (Samsung Electronics);
  • Assessing The Factual Accuracy of Generated Text Authors: Vinay Rao (Google);Ben Goodrich (Google);Peter Liu (Google);Mohammad Saleh (Google);
  • AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization Authors: Cong Fu (Zhejiang University);Yonghui Zhang (Zhejiang University);Deng Cai (Zhejiang University);Xiang Ren (University of Southern California);
  • Attribute-Driven Backbone Discovery Authors: Hanchao Ma (Washington State University);Sheng Guan (Washington State University);Yinghui Wu (Washington State University);
  • Auditing Data Provenance in Text-Generation Models Authors: Congzheng Song (Cornell University);Vitaly Shmatikov (Cornell University);
  • Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning Authors: Kunpeng Liu (Missouri University of Science and Technology);Yanjie Fu (Missouri University of Science and Technology);Pengfei Wang (CNIC, Chinese Academy of Sciences);Le Wu (Hefei University of Technology);Rui Bo (Missouri University of Science and Technology);Xiaolin Li (Nanjing University);
  • AutoNRL: Hyperparameter Optimization for Massive Network Representation Learning Authors: Ke Tu (Tsinghua University);Jianxin Ma (Tsinghua University);Peng Cui (Tsinghua University);Jian Pei (JD.com);Wenwu Zhu (Tsinghua University);
  • Axiomatic Interpretability for Multiclass Additive Models Authors: Xuezhou Zhang (University of Wisconsin-Madison);Sarah Tan (Cornell University);Paul Koch (Microsoft);Yin Lou (Ant Financial);Urszula Chajewska (Microsoft);Rich Caruana (Microsoft);
  • Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction Authors: Wenyi Xiao (The Hong Kong University of Science and Technology);Huan Zhao (The Hong Kong University of Science and Technology);Haojie Pan (The Hong Kong University of Science and Technology);Yangqiu Song (The Hong Kong University of Science and Technology);Vincent W. Zheng (WeBank, China);Qiang Yang (The Hong Kong University of Science and Technology);
  • Certifiable Robustness and Robust Training for Graph Convolutional Networks Authors: Daniel Zügner (Technical University of Munich);Stephan Günnemann (Technical University of Munich);
  • Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Authors: Wei-Lin Chiang (National Taiwan University);Xuanqing Liu (University of California, Los Angeles);Si Si (Google);Yang Li (Google);Samy Bengio (Google);Cho-Jui Hsieh (University of California, Los Angeles);
  • Clustering without Over-Representation Authors: Sara Ahmadian (Google);Alessandro Epasto (Google);Ravi Kumar (Google);Mohammad Mahdian (Google);
  • Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network Authors: Junchen Ye (SKLSDE Lab and BDBC Beihang University);Leilei Sun (SKLSDE Lab and BDBC Beihang University);Bowen Du (SKLSDE Lab and BDBC Beihang University);Yanjie Fu (Missouri University of Science and Technology);Xinran Tong (SKLSDE Lab and BDBC Beihang University);Hui Xiong (Rutgers Business School Rutgers University);
  • Conditional Random Field Enhanced Graph Convolutional Neural Networks Authors: Hongchang Gao (University of Pittsburgh);Jian Pei (Simon Fraser University);Heng Huang (University of Pittsburgh);
  • Contextual Fact Ranking and Its Applications in Table Synthesis and Compression Authors: Silu Huang (University of Illinois Urbana-Champaign);Jialu Liu (Google);Flip Korn (Google);Xuezhi Wang (Google);You Wu (Google);Dale Markowitz (Google);Cong Yu (Google);
  • Contrastive antichains in hierarchies Authors: Anes Bendimerad (LIRIS);Jefrey Lijffijt (Dept. of Electronics and Information Systems, IDLab, Ghent University);Marc Plantevit (LIRIS);Celine Robardet (INSA Lyon);Tijl De Bie (Dept. of Electronics and Information Systems, IDLab, Ghent University);
  • Coresets for Minimum Enclosing Balls over Sliding Windows Authors: Yanhao Wang (National University of Singapore);Yuchen Li (Singapore Management University);Kian-Lee Tan (National University of Singapore);
  • CoSTCo: A Nonlinear Sparse Tensor Completion Model Authors: Hanpeng Liu (Univeristy of Southern California);Yaguang Li (Univeristy of Southern California);Michael Tsang (University of Southern California);Yan Liu (University of Southern California);
  • Coupled Variational Recurrent Collaborative Filtering Authors: Qingquan Song (Texas A&M University);Shiyu Chang (IBM);Xia Hu (Texas A&M University);
  • DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation Authors: Donghua Liu (School of Computer Science Wuhan University);Jing Li (School of Computer Science Wuhan University);Bo Du (School of Computer Science Wuhan University);Jun Chang (School of Computer Science Wuhan University);Rong Gao (School of Computer Science Hubei University of Technology);
  • Deep Anomaly Detection with Deviation Networks Authors: Guansong Pang (The University of Adelaide);Chunhua Shen (The University of Adelaide);Anton van den Hengel (The University of Adelaide);
  • Deep Landscape Forecasting for Real-time Bidding Advertising Authors: Kan Ren (Shanghai Jiao Tong University);Jiarui Qin (Shanghai Jiao Tong University);Lei Zheng (Shanghai Jiao Tong University);Zhengyu Yang (Shanghai Jiao Tong University);Weinan Zhang (Shanghai Jiao Tong University);Yong Yu (Shanghai Jiao Tong University);
  • Deep Learning Alternating Direction Method of Multipliers Authors: Junxiang Wang (George Mason University);Fuxun Yu (George Mason University);Xiang Chen (George Mason University);Liang Zhao (George Mason University);
  • Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information Authors: Maya Okawa (NTT);Tomoharu Iwata (NTT);Takeshi Kurashima (NTT);Yusuke Tanaka (NTT);Hiroyuki Toda (NTT);Naonori Ueda (NTT);
  • DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks Authors: Guolin Ke (Microsoft);Zhenhui Xu (Peking University);Jia Zhang (Microsoft);Jiang Bian (Microsoft);Tie-Yan Liu (Microsoft);
  • dEFEND: Explainable Fake News Detection Authors: Kai Shu (Arizona State University);Limeng Cui (The Pennsylvania State University);Suhang Wang (The Pennsylvania State University);Dongwon Lee (Penn State Univeristy);Huan Liu (Arizona State University);
  • DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Authors: Jun Wu (Arizona State University);Jingrui He (Arizona State University);Jiejun Xu (HRL Laboratories, LLC);
  • Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction Authors: Jing-Han Wu (Southeast University);Min-Ling Zhang (Southeast University);
  • Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models Authors: Michael Doron (Hebrew University of Jerusalem);Idan Segev (Hebrew University of Jerusalem);Dafna Shahaf (Hebrew University of Jerusalem);
  • Dual Averaging Method for Online Graph-structured Sparsity Authors: Baojian Zhou (University at Albany, SUNY);Feng Chen (University at Albany, SUNY);Yiming Ying (University at Albany, SUNY);
  • Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination Authors: Qitian Wu (Shanghai Jiao Tong University);Yirui Gao (Shanghai Jiao Tong University);Xiaofeng Gao (Shanghai Jiao Tong University);Paul Weng (Shanghai Jiao Tong University);Guihai Chen (Shanghai Jiao Tong University);
  • Dynamic Modeling and Forecasting of Time-evolving Data Streams Authors: Yasuko Matsubara (Kumamoto University);Yasushi Sakurai (Kumamoto University);
  • Dynamical Origins of Distribution Functions Authors: Chengxi Zang (Tsinghua University);Peng Cui (Tsinghua University);Wenwu Zhu (Tsinghua University);Fei Wang (Cornell University);
  • Edit Similarity Joins Using Local Hash Minima Authors: Haoyu Zhang (Indiana University Bloomington);Qin Zhang (Indiana University Bloomington);
  • EdMot: An Edge Enhancement Approach for Motif-aware Community Detection Authors: Peizhen Li (School of Data and Computer Science,Sun Yat-sen University,Guangzhou, P. R. China);Ling Huang (Sun Yat-sen University);Chang-Dong Wang (Sun Yat-sen University);Jianhuang Lai (Sun Yat-sen University);
  • Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation Authors: Lisi Chen (Inception Institute of Artificial Intelligence);Shuo Shang (Inception Institute of Artificial Intelligence);Christian S. Jensen (Aalborg University);Bin Yao (Shanghai Jiao Tong University);Zhiwei Zhang (Hong Kong Baptist University);Ling Shao (Inception Institute of Artificial Intelligence);
  • Effective and Efficient Sports Play Retrieval with Deep Representation Learning Authors: Zheng Wang (Nanyang Technological University);Cheng Long (Nanyang Technological University);Gao Cong (Nanyang Technological University);Ce Ju (IDG Baidu Inc.);
  • Efficient and Effective Express via Contextual Cooperative Reinforcement Learning Authors: Yexin Li (The Hong Kong University of Science and Technology);Yu Zheng (Urban Computing Business Unit, JD Finance);Qiang Yang (The Hong Kong University of Science and Technology);
  • Efficient Global String Kernel with Random Features: Beyond Counting Substructures Authors: Lingfei Wu (IBM);Ian En-Hsu Yen (Carnegie Mellon University);Siyu Huo (IBM);Liang Zhao (George Mason University);Kun Xu (Peking University);Liang Ma (IBM);Shouling Ji (Zhejiang University);Charu Aggarwal (IBM);
  • Efficient Maximum Clique Computation over Large Sparse Graphs Authors: Lijun Chang (The University of Sydney);
  • Empirical Entropy Approximation via Subsampling: Theory and Application Authors: Chi Wang (Microsoft);Bailu Ding (Microsoft);
  • Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation Authors: Jingyuan Wang (Beihang University);Ning Wu (Beihang University);Xin Zhao (Renmin University of China);Fanzhang Peng (Beihang University);Xin Lin (Beihang University);
  • End-to-end Modeling of High-order Relations in Knowledge Graph for Recommendation Authors: Xiang Wang (National University of Singapore);Xiangnan He (University of Science and Technology of China);Yixin Cao (National University of Singapore);Meng Liu (Shandong University);Tat-Seng Chua (National University of Singapore);
  • Enhancing Collaborative Filtering with Generative Augmentation Authors: Qinyong Wang (The University of Queensland);Hongzhi Yin (The University of Queensland);Hao Wang (The University of Tokyo);Quoc Viet Hung Nguyen (Griffith University);Zi Huang (The University of Queensland);Lizhen Cui (Shandong University);
  • Enhancing Domain Word Embedding via Latent Semantic Imputation Authors: Shibo Yao (New Jersey Institute of Technology);Dantong Yu (New Jersey Institute of Technology);Keli Xiao (Stony Brook University);
  • Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation Authors: Wenjie Shang (Nanjing University);Yang Yu (Nanjing University);Qingyang Li (AI Labs, Didi Chuxing);Zhiwei Qin (AI Labs, Didi Chuxing);Yiping Meng (AI Labs, Didi Chuxing);Jieping Ye (AI Labs, Didi Chuxing);
  • EpiDeep: Exploiting Embeddings for Epidemic Forecasting Authors: Bijaya Adhikari (Virginia Tech);Xinfeng Xu (Virginia Tech);Naren Ramakrishnan (Virginia Tech);B. Aditya Prakash (Virginia Tech);
  • Estimating Graphlet Statistics via Lifting Authors: Dmitry Shemetov (University of California, Davis);James Sharpnack (University of California, Davis);Kirill Paramonov (University of California, Davis);
  • Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Authors: Namyong Park (Carnegie Mellon University);Andrey Kan (Amazon);Xin Luna Dong (Amazon);Tong Zhao (Amazon);Christos Faloutsos (Carnegie Mellon University and Amazon);
  • Estimating Personalized Preferences Through Meta-Learning for User Cold-Start Recommendation Authors: Hoyeop Lee (NCSOFT Co.);Jinbae Im (NCSOFT Co.);Seongwon Jang (NCSOFT Co.);Hyunsouk Cho (NCSOFT Co.);Sehee Chung (NCSOFT Co.);
  • ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data Authors: Songshan Yang (The Pennsylvania State University);Jiawei Wen (The Pennsylvania State University);Xiang Zhan (The Pennsylvania State University);Daniel Kifer (The Pennsylvania State University);
  • Exact-K Recommendation via Maximal Clique Optimization Authors: Yu Gong (Alibaba Group);Yu Zhu (Alibaba Group);Lu Duan (Zhejiang Cainiao Supply Chain Management Co., Ltd);Qingwen Liu (Alibaba Group);Ziyu Guan (Xidian University);Fei Sun (Alibaba);Wenwu Ou (Alibaba Group);Kenny Zhu (Shanghai Jiao Tong University);
  • Exploiting Cognitive Structure for Adaptive Learning Authors: Qi Liu (University of Science and Technology of China);Shiwei Tong (University of Science and Technology of China);Chuanren Liu (Drexel University);Hongke Zhao (The College of Management and Economics, Tianjin University);Enhong Chen (University of Science and Technology of China);Haiping Ma (IFLYTEK CO., LTD.);Shijin Wang (IFLYTEK CO., LTD.);
  • Factorization Bandits for Online Influence Maximization Authors: Qingyun Wu (University of Virginia);Zhige Li (Shanghai Jiao Tong University);Huazheng Wang (University of Virginia);Wei Chen (Microsoft);Hongning Wang (University of Virginia);
  • Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach Authors: Minji Yoon (Carnegie Mellon University);Bryan Hooi (Carnegie Mellon University);Kijung Shin (Carnegie Mellon University);Christos Faloutsos (Carnegie Mellon University);
  • Fates of Microscopic Social Ecosystems: Keep Alive or Dead? Authors: Haoyang Li (Tsinghua University);Peng Cui (Tsinghua University);Chengxi Zang (Tsinghua University);Tianyang Zhang (Tsinghua University);Wenwu Zhu (Tsinghua University);Yishi Lin (Tencent);
  • Fighting Opinion Control in Social Networks via Link Recommendation Authors: Victor Amelkin (University of Pennsylvania);Ambuj Singh (University of California, Santa Barbara);
  • Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging Authors: Nikita Klyuchnikov (Tsuru Robotics);Davide Mottin (Aarhus University);Georgia Koutrika (Athena Research Center);Emmanuel Müller (University of Bonn);Panagiotis Karras (Aarhus University);
  • Focused Context Balancing for Robust Offline Policy Evaluation Authors: Hao Zou (Tsinghua University);Kun Kuang (Tsinghua University);Boqi Chen (Boston University);Peng Cui (Tsinghua University);Peixuan Chen (Tencent);
  • GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorzation Authors: Peng Han (King Abdullah University of Science and Technology);Peng Yang (King Abdullah University of Science and Technology);Peilin Zhao (King Abdullah University of Science and Technology);Shuo Shang (Inception Institute of Artificial Intelligence);Yong Liu (Alibaba-NTU Singapore Joint Research Institute, Nanyang Technological University);Jiayu Zhou (Michigan State University);Xin Gao (King Abdullah University of Science and Technology);Panos Kalnis (King Abdullah University of Science and Technology);
  • Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space Authors: Nicholas Monath (Google);Manzil Zaheer (Google);Daniel Silva (Google);Andrew McCallum (University of Massachusetts Amherst);Amr Amhed (Google);
  • Graph Convolutional Networks with EigenPooling Authors: Yao Ma (Michigan State University);Suhang Wang (The Pennsylvania State University);Charu Aggarwal (IBM);Jiliang Tang (Michigan State University);
  • Graph Recurrent Networks with Attributed Random Walks Authors: Xiao Huang (Texas A&M University);Qingquan Song (Texas A&M University);Yuening Li (Texas A&M University);Xia Hu (Texas A&M University);
  • Graph Representation Learning via Hard and Channel-Wise Attention Networks Authors: Hongyang Gao (Texas A&M University);Shuiwang Ji (Texas A&M University);
  • Graph Transformation Policy Network for Chemical Reaction Prediction Authors: Kien Do (Deakin University);Truyen Tran (Deakin University);Svetha Venkatesh (Deakin University);
  • Graph-based Semi-Supervised & Active Learning for Edge Flows Authors: Junteng Jia (Cornell University);Michael Schaub (Massachusetts Institute of Technology);Santiago Segarra (Rice University);Austin Benson (Cornell University);
  • HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings Authors: Changping Meng (Purdue University);Jiasen Yang (Purdue University);Bruno Ribeiro (Purdue University);Jennifer Neville (Purdue University);
  • HetGNN: Heterogeneous Graph Neural Network Authors: Chuxu Zhang (University of Notre Dame);Dongjin Song (NEC Laboratories America);Chao Huang (University of Notre Dame);Ananthram Swami (US);Nitesh V. Chawla (University of Notre Dame);
  • Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications Authors: Zhe Jiang (The University of Alabama);Arpan Man Sainju (The University of Alabama);
  • Hidden POI Ranking with Spatial Crowdsourcing Authors: Yue Cui (“University of Electronic Science and Technology of China”);Liwei Deng (“University of Electronic Science and Technology of China”);Yan Zhao (School of Computer Science and Technology, Soochow University);Vicent Zheng (WeBank);Bin Yao (Shanghai Jiao Tong University);Kai Zheng (“University of Electronic Science and Technology of China”);
  • Hierarchical Gating Networks for Sequential Recommendation Authors: Chen Ma (McGill University);Peng Kang (Northwestern University);Xue Liu (McGill University);
  • Hierarchical Multi-Task Word Embedding Learning for Medical Synonym Prediction Authors: Hongliang Fei (Baidu);Shulong Tan (Baidu);Ping Li (Baidu);
  • Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts Authors: Kishlay Jha (University of Virginia);Guangxu Xun (University of Virginia);Yaqing Wang (University at Buffalo);Aidong Zhang (University of Virginia);
  • Identifiability of Cause and Effect using Regularized Regression Authors: Alexander Marx (Max Planck Institute for Informatics);Jilles Vreeken (CISPA);
  • Improving the quality of explanations with local embedding perturbations Authors: Yunzhe Jia (The University of Melbourne);James Bailey (The University of Melbourne);Kotagiri Ramamohanarao (The University of Melbourne);Christopher Leckie (The University of Melbourne);Michael E. Houle (National Institute of Informatics, Japan);
  • Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis Authors: Weiyu Cheng (Shanghai Jiao Tong University);Yanyan Shen (Shanghai Jiao Tong University);Linpeng Huang (Shanghai Jiao Tong University);Yanmin Zhu (Shanghai Jiao Tong University);
  • Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding Authors: Zhige Li (Shanghai Jiao Tong University);Derek Yang (Tsinghua University);Li Zhao (Microsoft);Jiang Bian (Microsoft);Tao Qin (Microsoft);Tie-Yan Liu (Microsoft);
  • Interpretable and Steerable Sequence Learning via Prototypes Authors: Yao Ming (The Hong Kong University of Science and Technology);Panpan Xu (Bosch Research North America);Huamin Qu (The Hong Kong University of Science and Technology);Liu Ren (Bosch Research North America);
  • Interpretable Neural Network-based Classification of Limited, Noisy Brain Data Authors: Yujun Yan (University of Michigan);Jiong Zhu (University of Michigan);Marlena Duda (University of Michigan);Eric Solarz (University of Michigan);Chandra Sripada (University of Michigan);Danai Koutra (University of Michigan);
  • Interview Choice Reveals Your Preference on the Market:To Improve Job-Resume Matching through Profiling Memories Authors: Rui Yan (Peking University);Ran Le (Peking University);Yang Song (Boss Zhipin NLP Center);Tao Zhang (Boss Zhipin NLP Center);Xiangliang Zhang (KAUST);Dongyan Zhao (Peking University);
  • Investigating Cognitive Effects in Session-level Search User Satisfaction Authors: Mengyang Liu (Tsinghua University);Jiaxin Mao (Tsinghua University);Yiqun Liu (Tsinghua University);Min Zhang (Tsinghua University);Shaoping Ma (Tsinghua University);
  • Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding Authors: Ninghao Liu (Texas A&M University);Qiaoyu Tan (Texas A&M University);Yuening Li (Texas A&M University);Hongxia Yang (Alibaba);Jingren Zhou (Alibaba);Xia Hu (Texas A&M University);
  • Isolation Set-Kernel and Its Application to Multi-Instance Learning Authors: Bi-Cun Xu (Nanjing University);Kai Ming Ting (School of Engineering and Information Technology, Federation University);Zhi-Hua Zhou (Nanjing University);
  • K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters Authors: Feiping Nie (School of Computer Science and Center for OPTIMAL, Northwestern Polytechnical University, China.);Cheng-Long Wang (School of Computer Science and Center for OPTIMAL, Northwestern Polytechnical University, China.);Xuelong Li (School of Computer Science and Center for OPTIMAL, Northwestern Polytechnical University, China.);
  • Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization Authors: Hongwei Wang (Shanghai Jiao Tong University);Fuzheng Zhang (Meituan-Dianping Group);Mengdi Zhang (Meituan-Dianping Group);Jure Leskovec (Stanford University);Miao Zhao (The Hong Kong Polytechnic University);Wenjie Li (The Hong Kong Polytechnic University);Zhongyuan Wang (Meituan-Dianping Group);
  • Latent Network Summarization Authors: Di Jin (University of Michigan);Ryan Rossi (Adobe);Danai Koutra (University of Michigan);Eunyee Koh (Adobe);Sungchul Kim (Adobe);Anup Rao (Adobe);
  • Learning Class-Conditional GANs with Active Sampling Authors: Ming-Kun Xie (Nanjing University of Aeronautics and Astronautics);Sheng-Jun Huang (Nanjing University of Aeronautics and Astronautics);
  • Learning Dynamic Context Graphs for Predicting Social Events Authors: Songgaojun Deng (Stevens Institute of Technology);Huzefa Rangwala (George Mason University);Yue Ning (Stevens Institute of Technology);
  • Learning from Incomplete and Inaccurate Supervision Authors: Zhen-Yu Zhang (Nanjing University);Peng Zhao (Nanjing University);Yuan Jiang (Nanjing University);Zhi-Hua Zhou (Nanjing University);
  • Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining Authors: Tomoki Yoshida (Nagoya Institute of Technology);Ichiro Takeuchi (Nagoya Institute of Technology, National Institute for Material Science, RIKEN Center for Advanced Intelligence Project);Masayuki Karasuyama (Nagoya Institute of Technology, National Institute for Material Science, Japan Science and Technology Agency);
  • Learning Network-to-Network Model for Content-rich Network Embedding Authors: Zhicheng He (Nankai University);Jie Liu (Nankai University);Na Li (Nankai University);Yalou Huang (Nankai University);
  • Link Prediction with Signed Latent Factors in Signed Social Networks Authors: Pinghua Xu (Wuhan University);Wenbin Hu (Wuhan University);Jia Wu (Macquarie University);Bo Du (Wuhan University);
  • Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit Authors: Zhiqiang Tao (Northeastern University);Sheng Li (University of Georgia);Zhaowen Wang (Adobe);Chen Fang (Bytedance);Longqi Yang (Cornell University);Handong Zhao (Adobe);Yun Fu (Northeastern University);
  • MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network Authors: Hao Wang (University of Science and Technology of China);Tong Xu (University of Science and Technology of China);Qi Liu (University of Science and Technology of China);Defu Lian (University of Science and Technology of China);Enhong Chen (University of Science and Technology of China);Dongfang Du (Tencent);Han Wu (University of Science and Technology of China);Wen Su (Tencent);
  • Mining Algorithm Roadmap in Scientific Publications Authors: Hanwen Zha (University of California, Santa Barbara);Wenhu Chen (University of California, Santa Barbara);Keqian Li (University of California, Santa Barbara);Xifeng Yan (University of California, Santa Barbara);
  • Modeling Dwell Time Engagement on Visual Multimedia Authors: Hemank Lamba (Carnegie Mellon University);Neil Shah (Snap Research);
  • Modeling Extreme Events in Time Series Prediction Authors: Daizong Ding (Fudan University);Mi Zhang (Fudan University);Xudong Pan (Fudan University);Min Yang (School of Computer Science, Fudan University);Xiangnan He (University of Science and Technology of China);
  • Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings Authors: Ahmed Rashed (Information Systems and Machine Learning Lab (ISMLL), Institute of Computer Science, University of Hildesheim);Josif Grabocka (Information Systems and Machine Learning Lab (ISMLL), Institute of Computer Science, University of Hildesheim);Lars Schmidt-Thieme (Information Systems and Machine Learning Lab (ISMLL), Institute of Computer Science, University of Hildesheim);
  • Multi-task Recurrent Neural Network and Higher-order Markov Random Fields for Stock Price Prediction Authors: Chang Li (School of Computer Science University of Sydney);Dongjin Song ( Capital Market CRC);Dacheng Tao (NEC);
  • Multiple Relational Attention Network for Multi-task Learning Authors: Jiejie Zhao (Beihang University);Bowen Du (Beihang University);Leilei Sun (Beihang University);Fuzhen Zhuang (Chinese Academy of Sciences);Weifeng Lv (Beihang University);Hui Xiong (Rutgers University);
  • Network Density of States Authors: Kun Dong (Cornell University);Austin Benson (Cornell University);David Bindel (Cornell University);
  • NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching Authors: Dingqi Yang (eXascale Infolab, University of Fribourg,);Paolo Rosso (University of Fribourg);Bin Li (Fudan University);Philippe Cudre-Mauroux (U. of Fribourg);
  • OBOE: Collaborative Filtering for AutoML Model Selection Authors: Chengrun Yang (Cornell University);Yuji Akimoto (Cornell University);Dae Won Kim (Cornell University);Madeleine Udell (Cornell University);
  • Off-policy Learning for Multiple Loggers Authors: Li He (Data Science Lab, JD.com);Long Xia (Data Science Lab, JD.com);Wei Zeng (Institute of Computing Technology, Chinese Academy of Sciences);Zhi-Ming Ma (JD.com);Yihong Zhao (JD.com);Dawei Yin (JD.com);
  • On Dynamic Network Models and Application to Causal Impact Authors: Yu-Chia Chen (University of Washington);Avleen S. Bijral (Microsoft);Juan Lavista Ferres (Microsoft);
  • Optimizing Impression Counts for Outdoor Advertising Authors: Yipeng Zhang (RMIT University);Yuchen Li (Singapore Management University);Zhifeng Bao (RMIT University);Songsong Mo (Wuhan University);Ping Zhang (Huawei);
  • Optimizing Peer Learning in Online Groups with Affinities Authors: Mohammadreza Esfandiari (NJIT);Dong Wei (NJIT);Sihem Amer-Yahia (CNRS);Senjuti Basu Roy (New Jersey Institute Of Technology);
  • Origin-Destination Matrix Prediction via Graph Convolution: A New Perspective of Passenger Demand Modeling Authors: Yuandong Wang (Beihang University);Hongzhi Yin (The University of Queensland);Hongxu Chen (The University of Queensland);Tianyu Wo (Beihang University);Jie Xu (University of Leeds);Kai Zheng (University of Electronic Science and Technology);
  • Pairwise Comparisons with Flexible Time-Dynamics Authors: Lucas Maystre (Ecole Polytechnique Fédérale de Lausanne);Victor Kristof (Ecole Polytechnique Fédérale de Lausanne);Matthias Grossglauser (Ecole Polytechnique Fédérale de Lausanne);
  • Paper Matching with Local Fairness Constraints Authors: Ari Kobren (University of Massachusetts Amherst);Barna Saha (University of Massachusetts Amherst);Andrew McCallum (University of Massachusetts Amherst);
  • PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data Authors: Sanjoy Dey (IBM);Ping Zhang (The Ohio State University);Daby Sow (IBM);Kenney Ng (IBM);
  • Predicting Embedding Trajectories for Temporal Interaction Networks Authors: Srijan Kumar (Stanford University);Xikun Zhang (University of Illinois at Urbana-Champaign);Jure Leskovec (Stanford University);
  • Predicting Path Failure In Time-Evolving Graphs Authors: Jia Li (The Chinese University of Hong Kong);Zhichao Han (The Chinese University of Hong Kong);Hong Cheng (The Chinese University of Hong Kong);Jiao Su (The Chinese University of Hong Kong);Pengyun Wang (Noah Ark's Lab, Huawei Technologies);Jianfeng Zhang (Noah Ark's Lab, Huawei Technologies);Lujia Pan (Noah Ark's Lab, Huawei Technologies);
  • PressLight: Learning Max Pressure Control for Signalized Intersections in Arterial Network Authors: Hua Wei (The Pennsylvania State University);Chacha Chen (Shanghai Jiao Tong University);Guanjie Zheng (The Pennsylvania State University);Kan Wu (The Pennsylvania State University);Vikash Gayah (The Pennsylvania State University);Kai Xu (Tianrang Inc.);Zhenhui Jessie Li (The Pennsylvania State University);
  • PrivPy: General and Scalable Privacy-Preserving Data Mining Authors: Yi Li (Tsinghua University);Wei Xu (Tsinghua University);
  • ProGAN: Network Embedding via Proximity Generative Adversarial Network Authors: Hongchang Gao (University of Pittsburgh);Jian Pei (Simon Fraser University);Heng Huang (University of Pittsburgh);
  • Quantifying Long Range Dependence in Language and User Behavior to improve RNNs Authors: Francois Belletti (Google);Minmin Chen (Google);Ed Chi (Google);
  • QuesNet: A Unified Representation for Heterogeneous Test Questions Authors: Yu Yin (University of Science and Technology of China);Qi Liu (University of Science and Technology of China);Zhenya Huang (University of Science and Technology of China);Enhong Chen (University of Science and Technology of China);Wei Tong (University of Science and Technology of China);Shijin Wang (iFLYTEK Research);Yu Su (iFLYTEK Research);
  • Regularized regression for hierarchical forecasting without unbiasdness conditions Authors: Souhaib Ben Taieb (University of Mons);Bonsoo Koo (Monash University);
  • Relation Extraction via Domain-aware Transfer Learning Authors: Shimin Di (The Hong Kong University of Secience and Technology);Yanyan Shen (Shanghai Jiao Tong University);Lei Chen (The Hong Kong University of Science and Technology);
  • Representation Learning for Attributed Multiplex Heterogeneous Network Authors: Yukuo Cen (Tsinghua University);Xu Zou (Tsinghua University);Jianwei Zhang (Alibaba);Hongxia Yang (Alibaba);Jingren Zhou (Alibaba);Jie Tang (Tsinghua University);
  • Retaining Privileged Information for Multi-Task Learning Authors: Fengyi Tang (Michigan State University);Cao Xiao (IQVIA);Fei Wang (Cornell University);Jiayu Zhou (Michigan State University);Li-Wei Lehman (Massachusetts Institute of Technology);
  • Revisiting kd-tree for Nearest Neighbor Search Authors: Parikshit Ram (IBM);Kaushik Sinha (Wichita State University);
  • Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering Authors: Jie Zhao (The Ohio State University);Ziyu Guan (Xidian University);Huan Sun (The Ohio State University);
  • Robust Graph Convolutional Networks Against Adversarial Attacks Authors: Dingyuan Zhu (Tsinghua University);Ziwei Zhang (Tsinghua University);Peng Cui (Tsinghua University);Wenwu Zhu (Tsinghua University);
  • Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning Authors: Yaqiang Yao (University of Science and Technology of China);Jie Cao (Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance and Economics);Huanhuan Chen (University of Science and Technology of China);
  • Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding Authors: Lingfei Wu (IBM);Ian En-Hsu Yen (Carnegie Mellon University);Zhen Zhang (Washington University in St. Louis);Kun Xu (Peking University);Liang Zhao (George Mason University);Xi Peng (Binghamton University);Yinglong Xia (Huawei);Charu Aggarwal (IBM);
  • Scalable Graph Embeddings via Sparse Transpose Proximities Authors: Yuan Yin (School of Information, Renming University);Zhewei Wei (School of Information, Renming University);
  • Scalable Hierarchical Clustering via Tree Grafting Authors: Nicholas Monath (University of Massachusetts Amherst);Ari Kobren (UMass Amherst);Akshay Krishnamurthy (University of Massachusetts, Amherst);Michael Glass (IBM);Andrew Mccallum (University of Massachusetts);
  • Scaling Multi-Armed Bandit Algorithms Authors: Edouard Fouché (Karlsruhe Institute of Technology);Junpei Komiyama (The University of Tokyo);Klemens Böhm (Karlsruhe Institute of Technology);
  • Scaling Multinomial Logistic Regression via Hybrid Parallelism Authors: Parameswaran Raman (University of California, Santa Cruz);Sriram Srinivasan (University of California, Santa Cruz);Shin Matsushima (The University of Tokyo);Xinhua Zhang (University of Illinios, Chicago);Hyokun Yun (Amazon);Vishwanathan S.V.N. (Amazon);
  • Separated Trust Regions Policy Optimization Method Authors: Luobao Zou (Shanghai Jiao Tong University);Zhiwei Zhuang (Shanghai Jiao Tong University);Yin Cheng (Shanghai Jiao Tong University);Xuechun Wang (Shanghai Jiao Tong University);Weidong Zhang (Shanghai Jiao Tong University);
  • Sequential Anomaly Detection using Inverse Reinforcement Learning Authors: Min-Hwan Oh (Columbia University);Garud Iyengar (Columbia University);
  • Sets2Sets: Learning from Sequential Sets with Neural Networks Authors: Haoji Hu (University of Minnesota);Xiangnan He (University of Science and Technology of China);
  • Sherlock: A Deep Learning Approach to Semantic Data Type Detection Authors: Madelon Hulsebos (Massachusetts Institute of Technology);Kevin Hu (Massachusetts Institute of Technology);Michiel Bakker (Massachusetts Institute of Technology);Emanuel Zgraggen (Massachusetts Institute of Technology);Arvind Satyanarayan (Massachusetts Institute of Technology);Tim Kraska (Massachusetts Institute of Technology);Çağatay Demiralp (Massachusetts Institute of Technology);César Hidalgo (Massachusetts Institute of Technology);
  • Significance of Patterns in Data Visualisations Authors: Rafael Savvides (University of Helsinki);Andreas Henelius (University of Helsinki);Emilia Oikarinen (University of Helsinki);Kai Puolamäki (University of Helsinki);
  • Social Recommendation with Optimal Limited Attention Authors: Xin Wang (Tsinghua University);Wenwu Zhu (Tsinghua University);Chenghao Liu (Singapore Management University);
  • SPuManTE: Significant Pattern Mining with Unconditional Testing Authors: Leonardo Pellegrina (University of Padova);Matteo Riondato (Amherst College);Fabio Vandin (University of Padova);
  • Stability and Generalization of Graph Convolutional Neural Networks Authors: Saurabh Verma (University of Minnesota);Zhi-Li Zhang (University of Minnesota);
  • State-Sharing Sparse Hidden Markov Models for Personalized Sequences Authors: Hongzhi Shi (Tsinghua University);Chao Zhang (Georgia Institute of Technology);Quanming Yao (4Paradigm);Yong Li (Tsinghua University);Funing Sun (Tencent);Depeng Jin (Tsinghua University);
  • Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units Authors: Prathamesh Deshpande (IIT);Sunita Sarawagi (IIT);
  • Streaming Session-based Recommendation Authors: Lei Guo (Shandong Normal University);Hongzhi Yin (The University of Queensland);Qinyong Wang (The University of Queensland);Tong Chen (The University of Queensland);Alexander Zhou (The University of Queensland);Nguyen Quoc Viet Hung (Griffith University);
  • SurfCon: Synonym Discovery on Privacy-Aware Clinical Data Authors: Zhen Wang (The Ohio State University);Xiang Yue (The Ohio State University);Soheil Moosavinasab (Nationwide Children's Hospital);Yungui Huang (Nationwide Children's Hospital);Simon Lin (Nationwide Children's Hospital);Huan Sun (The Ohio State University);
  • Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning Authors: Shuyang Yu (Northeastern University);Bin Gu (JD.com);Kunpeng Ning (Nanjing University of Aeronautics and Astronautics);Haiyan Chen (Nanjing University of Aeronautics and Astronautics);Jian Pei (Simon Fraser University);Heng Huang (University of Pittsburgh);
  • Task-Adversarial Co-Generative Nets Authors: Pei Yang (Arizona State University & South China University of Technology);Qi Tan (South China Normal University);Hanghang Tong (Arizona State University);Jingrui He (Arizona State University);
  • Tensorized Determinantal Point Processes for Recommendation Authors: Romain Warlop (fifty-five);Jérémie Mary (Criteo);Mike Gartrell (Criteo);
  • Testing Dynamic Incentive Compatibility in Display Ad Auctions Authors: Yuan Deng (Duke University);Sébastien Lahaie (Google);
  • The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach Authors: Ying Sun (Institute of Computing Technology, Chinese Academy of Sciences);Fuzhen Zhuang (Institute of Computing Technology, Chinese Academy of Sciences);Hengshu Zhu (Baidu);Xin Song (Baidu);Qing He (Institute of Computing Technology, Chinese Academy of Sciences);Hui Xiong (Baidu);
  • The Role of “Condition”: A Novel Scientific Knowledge Graph Representation and Construction Model Authors: Tianwen Jiang (University of Notre Dame);Tong Zhao (University of Notre Dame);Bing Qin (Harbin Institute of Technology);Ting Liu (Harbin Institute of Technology);Nitesh Chawla (University of Notre Dame);Meng Jiang (University of Notre Dame);
  • Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms Authors: Boyang Li (Northeastern University);Yurong Cheng (Beijing Institute of Technology);Ye Yuan (Northeastern University);Guoren Wang (Beijing Institute of Technology);Lei Chen (The Hong Kong University of Science and Technology);
  • Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios Authors: Stefano Giovanni Rizzo (Qatar Computing Research Institute);Giovanna Vantini (Qatar Computing Research Institute);Sanjay Chawla (Qatar Computing Research Institute);
  • Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? Authors: Xiaowei Jia (University of Minnesota);Sheng Li (University of Georgia);Handong Zhao (Adobe);Sungchul Kim (Adobe);Vipin Kumar (University of Minnesota);
  • Training and Meta-Training Binary Neural Networks with Quantum Computing Authors: Abdulah Fawaz (Siemens);Sebastien Piat (Siemens);Paul Klein (Siemens);Simone Severini (University College London);Peter Mountney (Siemens);
  • TUBE: Embedding Behavior Outcomes for Predicting Success Authors: Daheng Wang (University of Notre Dame);Tianwen Jiang (University of Notre Dame);Nitesh Chawla (University of Notre Dame);Meng Jiang (University of Notre Dame);
  • Uncovering Pattern Formation of Information Flow Authors: Chengxi Zang (Tsinghua University);Peng Cui (Tsinghua University);Chaoming Song (University of Miami);Wenwu Zhu (Tsinghua University);Fei Wang (Cornell University);
  • Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning Authors: Yunchao Zhang (Missouri University of Science and Technology);Pengyang Wang (Missouri University of Science and Technology);Xiaolin Li (Nanjing University);Yu Zheng (JD);Yanjie Fu (Missouri University of Science and Technology);
  • Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts Authors: Junheng Hao (University of California, Los Angeles);Muhao Chen (University of California, Los Angeles);Wenchao Yu (University of California, Los Angeles);Yizhou Sun (University of California, Los Angeles);Wei Wang (University of California, Los Angeles);
  • Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning Authors: Zheyi Pan (Shanghai Jiao Tong University);Yuxuan Liang (National University of Singapore);Weifeng Wang (Shanghai Jiao Tong University);Yong Yu (Shanghai Jiao Tong University);Yu Zheng (JD);Junbo Zhang (JD);
  • λOpt: Learn to Regularize Recommender Models in Finer Levels Authors: Yihong Chen (Tsinghua University);Bei Chen (Microsoft);Xiangnan He (University of Science and Technology of China);Chen Gao (Tsinghua University);Yong Li (Tsinghua University);Jian-Guang Lou (Microsoft);Yue Wang (Tsinghua University);

Applied Data Science Track Papers

  • 150 successful Machine Learning models: 6 lessons learned at Booking.com Authors: Pablo Estevez, Themistoklis Mavridis and Lucas Bernardi
  • A Collaborative Learning Framework to Tag Refinement for Points of Interest Authors: Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Xuehui Wu, Airong Jiang and Hui Xiong
  • A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry Authors: Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng and Lei Chen
  • A Deep Generative Approach to Search Extrapolation and Recommendation Authors: Fred.X Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He and Yu Xu
  • A Deep Value-network Based Approach for Multi-Driver Order Dispatching Authors: Xiaocheng Tang, Zhiwei Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu and Jieping Ye
  • A Generalized Framework for Population Based Training Authors: Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley and Pramod Gupta
  • A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR Authors: Prithwish Chakraborty and Faisal Farooq
  • A Severity Score for Retinopathy of Prematurity Authors: Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Jennifer Dy, Deniz Erdogmus and Stratis Ioannidis
  • A Unified Framework for Marketing Budget Allocation Authors: Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu and Cheng Yang
  • A User-Centered Concept Mining System for Query and Document Understanding at Tencent Authors: Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai and Yu Xu
  • AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018 Authors: Zhipeng Luo, Jianqiang Huang, Ke Hu, Xue Li and Peng Zhang
  • Actions Speak Louder Than Goals: Valuing Player Actions in Soccer Authors: Tom Decroos, Lotte Bransen, Jan Van Haaren and Jesse Davis
  • Active Deep Learning for Activity Recognition with Context Aware Annotator Selection Authors: H M Sajjad Hossain and Nirmalya Roy
  • Adversarial Matching of Dark Net Market Vendor Accounts Authors: Xiao Hui Tai, Kyle Soska and Nicolas Christin
  • AiAds: Automated and Intelligent Advertising System for Sponsored Search Authors: Xiao Yang
  • AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation Authors: Xiaoli Tang, Tengyun Wang, Haizhi Yang and Hengjie Song
  • AlphaStock: Buying Winners and Selling Losers in Deep Authors: Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu and Zhang Xiong
  • Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning Authors: Maxime Voisin, Yichen Shen, Alireza Aliamiri, Anand Avati, Awni Hannun and Andrew Ng
  • Annotating Videos at YouTube Scale Authors: Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu and Apostol Natsev
  • Anomaly Detection for an E-commerce Pricing System Authors: Jagdish Ramakrishnan, Elham Shaabani, Chao Li and Mátyás Sustik
  • Applying Deep Learning To Airbnb Search Authors: Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tao Xu, Shulin Yang, Huizhong Duan, Qing Zhang, Nick Barrow-Williams, Bradley C. Turnbull, Brendan M. Collins and Thomas Legrand
  • Auto-Keras: An Efficient Neural Architecture Search System Authors: Haifeng Jin, Qingquan Song and Xia Hu
  • AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications Authors: Luo Yuanfei, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang and Wenyuan Dai
  • Automatic Dialogue Summary Generation for Customer Service Authors: Chunyi Liu, Peng Wang, Jiang Xu, Zang Li and Jieping Ye
  • Bid Optimization by Multivariable Control in Display Advertising Authors: Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu and Kun Gai
  • Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration Authors: Lisa Singh, Laila Wahedi, Yanchen Wang, Yifang Wei, Christo Kirov, Susan Martin, Katharine Donato, Yaguang Liu and Kornraphop Kawintiranon
  • Buying or Browsing? : Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior Authors: Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang and Bin Cui
  • Carousel Ads Optimization in Yahoo Gemini Native Authors: Oren Somekh, Michal Aharon, Avi Shahar, Assaf Singer, Boris Trayvas, Hadas Vogel and Dobri Dobrev
  • Chainer: a Deep Learning Framework for Accelerating the Research Cycle Authors: Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel and Hiroyuki Yamazaki Vincent
  • Characterizing and Detecting Malicious Accounts inPrivacy-Centric Mobile Social Networks: A Case Study Authors: Zenghua Xia, Chang Liu, Neil Gong, Qi Li, Yong Cui and Dawn Song
  • Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat Authors: Yozen Liu, Xiaolin Shi, Lucas Pierce and Xiang Ren
  • Combining Decision Trees and Neural Networks forLearning-to-Rank in Personal Search Authors: Pan Li, Zhen Qin, Xuanhui Wang and Donald Metzler
  • Community Detection on Large Complex Attribute Network Authors: Zhe Chen, Aixin Sun and Xiaokui Xiao
  • Constructing High Precision Knowledge Bases with Subjective and Factual Attributes Authors: Ari Kobren, Pablo Bario, Oksana Yakhnenko, Johann Hibschman and Ian Langmore
  • Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy Authors: Jan-Philipp Schulze, Artur Mrowca, Elizabeth Ren, Hans-Andrea Loeliger and Konstantin Böttinger
  • Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives Authors: Shunsuke Kitada, Hitoshi Iyatomi and Yoshifumi Seki
  • Deep Semantic Product Search Authors: Vihan Lakshman, Vijai Mohan, Priyanka Nigam, Yiwei Song, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu and Bing Yin
  • Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction Authors: Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu and Yanlong Du
  • Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting Authors: Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng and Guangquan Zhang
  • DeepHoops: Evaluating Micro-Actions in Basketball Using Deep Feature Representations of Spatio-Temporal Data Authors: Anthony Sicilia, Konstantinos Pelechrinis and Kirk Goldsberry
  • DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery Authors: Stephen Lee, Srinivasan Iyengar, Menghong Feng, Prashant Shenoy and Subhransu Maji
  • DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events Authors: Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim and Ryosuke Shibasaki
  • Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA Authors: Simon Woo, Shahroz Tariq, Sangyup Lee, Youjin Shin, Myeong Shin Lee, Okchul Jung and Daewon Chung
  • Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition Authors: Anil Yelundur, Vineet Chaoji and Bamdev Mishra
  • Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams Authors: Richard Chen, Filip Jankovic, Nikki Marinsek, Luca Foschini, Lampros Kourtis, Alessio Signorini, Melissa Pugh, Jie Shen, Roy Yaari, Vera Maljkovic, Marc Sunga, Han Hee Song, Hyun Joon Jung, Belle Tseng and Andrew Trister
  • Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners Authors: Aleksander Fabijan, Jayant Gupchup, Somit Gupta, Jeff Omhover, Wen Quin, Lukas Vermeer and Pavel Dmitriev
  • DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview Authors: Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang and Hui Xiong
  • Dynamic Pricing for Airline Ancillaries with Customer Context Authors: Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla and Kartik Yellepeddi
  • E.T.-RNN: Applying Deep Learning to Credit Loan Applications Authors: Alexander Tuzhilin, Dmitri Babaev, Dmitri Umerenkov and Maxim Savchenko
  • Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft Authors: Kiri Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar and Cynthia Phillips
  • Estimating Cellular Goals from High-Dimensional Biological Data Authors: Laurence Yang, Michael A. Saunders, Jean-Christophe Lachance, Bernhard O. Palsson and José Bento
  • Fairness in Recommendation Ranking through Pairwise Comparisons Authors: Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi and Cristos Goodrow
  • Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search Authors: Sahin Geyik, Stuart Ambler and Krishnaram Kenthapadi
  • FDML: A Collaborative Machine Learning Framework for Distributed Features Authors: Yaochen Hu, Di Niu, Jianming Yang and Shengping Zhou
  • Feedback Shaping: A Modeling Approach to Nurture Content Creation Authors: Ye Tu, Chun Lo, Yiping Yuan and Shaunak Chatterjee
  • Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences Authors: Stephanie Dewet and Jiafan Ou
  • FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging Authors: Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim and Steven Hoi
  • Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning Authors: John Hughes, Keng-Hao Chang and Ruofei Zhang
  • Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression Authors: Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka and Kenji Yamanishi
  • Gmail Smart Compose: Real-Time Assisted Writing Authors: Mia Xu Chen, Benjamin N Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn and Yonghui Wu
  • Hard to Park? Estimating Parking Difficulty at Scale Authors: Andrew Tomkins, Ravi Kumar, Neha Arora, James Cook, Ivan Kuznetsov, Yechen Li, Huai-Jen Liang, Andrew Miller, Iveel Tsogsuren and Yi Wang
  • How to Invest my Time: Lessons from HITL Entity Extraction Authors: Shanshan Zhang, Lihong He, Eduard Dragut and Slobodan Vucetic
  • Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System Authors: Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan and Hui Xiong
  • Improving Subseasonal Forecasting in the Western U.S. with Machine Learning Authors: Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer and Lester Mackey
  • Infer Implicit Contexts in Real-time Online-to-Offline Recommendation Authors: Xichen Ding, Jie Tang, Tracy Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang and Dan Shen
  • IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation Authors: Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Ning Wei, Guang Qiu and Xiaofei He
  • Internal Promotion Optimization Authors: Rupesh Gupta, Guangde Chen and Shipeng Yu
  • Investigate Transitions into Drug Addiction through Text Mining of Reddit Data Authors: John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Hasan and George Mohler
  • Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction Authors: Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing and Tie-Yan Liu
  • IRNet: A General Purpose Deep Residual Regression Framework For Materials Discovery Authors: Dipendra Jha, Logan Ward, Zijiang Yang, Christopher Wolverton, Ian Foster, Wei-Keng Liao, Alok Choudhary and Ankit Agrawal
  • Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework Authors: Xiaoyang Ma, Lan Zhang, Lan Xu, Zhicheng Liu, Ge Chen, Zhili Xiao, Yang Wang and Zhengtao Wu
  • Learning a Unified Embedding for Visual Search at Pinterest Authors: Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park and Charles Rosenberg
  • Learning Sleep Quality from Daily Logs Authors: Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee and Meeyoung Cha
  • Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data Authors: Jackson Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina and Milind Tambe
  • LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction Authors: Yangli-Ao Geng, Qingyong Li, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Yijun Zhang and Weitao Lyu
  • Machine Learning at Microsoft with ML.NET Authors: Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupre, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami and Yiwen Zhu
  • Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning Authors: Megha Srivastava, Hoda Heidari and Andreas Krause
  • MediaRank: Compuational Ranking of Online News Sources Authors: Junting Ye and Steven Skiena
  • Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation Authors: Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma and Yongliang Li
  • MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records Authors: Xi Zhang, Andy Tang, Hiroko Dodge, Jiayu Zhou and Fei Wang
  • MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search Authors: Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun and Ping Li
  • MSURU: Large Scale E-commerce Image Classification With Weakly Supervised Search Data Authors: Yina Tang, Fedor Borisyuk, Siddarth Malreddy, Yixuan Li, Yiqun Liu and Sergey Kirshner
  • Multi-Horizon Time Series Forecasting with Temporal Attention Learning Authors: Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei and Heng Huang
  • MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games Authors: Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan and Peng Cui
  • Naranjo Question Answering using End-to-End Multi-task Learning Model Authors: Bhanu Pratap Singh Rawat, Fei Li and Hong Yu
  • Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data -- An Application to Climate Prediction Authors: Yumin Liu, Junxiang Chen, Auroop Ganguly and Jennifer Dy
  • Nostalgin: Extracting 3D City Models from Historical Image Data Authors: Amol Kapoor, Hunter Larco and Raimondas Kiveris
  • NPA: Neural News Recommendation with Personalized Attention Authors: Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie
  • OAG: Toward Linking Large-scale Heterogeneous Entity Graphs Authors: Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li and Kuansan Wang
  • OCC: A Smart Reply System for Efficient In-App Communications Authors: Yue Weng, Huaixiu Zheng, Franziska Bell and Gokhan Tur
  • Online Amnestic DTW to allow Real-Time Golden Batch Monitoring Authors: Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov and Eamonn Keogh
  • Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics Authors: Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin and Nitesh Chawla
  • Optuna: A Next-generation Hyperparameter Optimization Framework Authors: Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta and Masanori Koyama
  • Personalized Attraction Enhanced Sponsored Search with Multi-task Learning Authors: Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen and Hongmin Liu
  • Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching Authors: Mathias Kraus and Stefan Feuerriegel
  • PinText: A Multitask Text Embedding System in Pinterest Authors: Jinfeng Zhuang and Yu Liu
  • POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion Authors: Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao and Binqiang Zhao
  • Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction Authors: Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu and Kun Gai
  • Precipitation nowcasting with satellite imagery Authors: Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko, Alexander Ganshin, Ivan Bushmarinov, Alexander Molchanov, Sergey Ovcharenko, Ruslan Grokhovetskiy and Dmitry Solomentsev
  • Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising Authors: Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun and Aaron Flores
  • Predicting Economic Development using Geolocated Wikipedia Articles Authors: Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, David Lobell, Marshall Burke and Stefano Ermon
  • Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior Authors: Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto and Satish Ukkusuri
  • Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being Authors: Ehimwenma Nosakhare and Rosalind Picard
  • Pythia: AI assisted code completion system Authors: Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu and Neel Sundaresan
  • Raise to speak: an accurate, low-power detector for activating voice assistants on smartwatches Authors: Shiwen Zhao, Brandt Westing, Shawn Scully, Heri Nieto, Roman Holenstein, Minwoo Jeong, Krishna Sridhar, Brandon Newendorp, Mike Bastian, Sethu Raman, Tim Paek, Kevin Lynch and Carlos Guestrin
  • Randomized Experimental Design via Geographic Clustering Authors: David Rolnick, Kevin Aydin, Jean Pouget-Abadie, Shahab Kamali, Vahab Mirrokni and Amir Najmi
  • Ranking in Genealogy: Search Results Fusion at Ancestry Authors: Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang and Azadeh Moghtaderi
  • Real-time Attention Based Look-alike Model for Recommender System Authors: Yudan Liu, Kaikai Ge, Xu Zhang and Leyu Lin
  • Real-time Event Detection on Social Data Streams Authors: Mateusz Fedoryszak, Brent Frederick, Vijay Rajaram and Changtao Zhong
  • Real-time On-Device Troubleshooting Recommendation for Smartphones Authors: Keiichi Ochiai, Kohei Senkawa, Naoki Yamamoto, Yuya Tanaka and Yusuke Fukazawa
  • Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones Authors: Tadashi Okoshi, Kota Tsubouchi and Hideyuki Tokuda
  • Recurrent Neural Networks for Stochastic Control in Real-Time Bidding Authors: Nicolas Grislain, Nicolas Perrin and Antoine Thabault
  • Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems Authors: Lixin Zou, Long Xia, Zhuoye Ding, Song Jiaxing, Weidong Liu and Dawei Yin
  • Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising Authors: Achir Kalra, Chong Wang, Cristian Borcea and Yi Chen
  • Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network Authors: Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun and Dan Pei
  • Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement Authors: Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu and Rong Jin
  • Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points Authors: Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi and Christina Kirsch
  • Seasonal-adjustment based feature selection method for predicting epidemic with large-scale search engine logs Authors: Quang Thien Tran and Jun Sakuma
  • Seeker: Real-Time Interactive Search Authors: Ari Biswas, Thai Pham, Michael Vogelsong, Benjamin Snyder and Houssam Nassif
  • Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data Authors: Dimitris Spathis, Sandra Servia Rodríguez, Katayoun Farrahi, Cecilia Mascolo and Jason Rentfrow
  • Sequential Scenario-Specific Meta Learner for Online Recommendation Authors: Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou and Jie Tang
  • Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data Authors: Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy and Rajiv Ramnath
  • Shrinkage Estimators in Online Experiments Authors: Drew Dimmery, Eytan Bakshy and Jasjeet Sekhon
  • Smart Roles: Inferring Professional Roles in Email Networks Authors: Di Jin, Mark Heimann, Tara Safavi, Mengdi Wang, Wei Lee, Lindsay Snider and Danai Koutra
  • SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine Authors: Abhilash Reddy Chenreddy, Parshan Pakiman, Selvaprabu Nadarajah, Ranganathan Chandrasekaran and Rick Abens
  • Social Skill Validation at LinkedIn Authors: Xiao Yan, Jaewon Yang, Mikhail Obukhov, Lin Zhu, Joey Bai, Shiqi Wu and Qi He
  • Structured Noise Detection: Application on Well Test Pressure Derivative Data Authors: Farhan Asif Chowdhury, Satomi Suzuki and Abdullah Mueen
  • Temporal Probabilistic Profiles for Sepsis Prediction in the ICU Authors: Eitam Sheetrit, Nir Nissim, Denis Klimov and Yuval Shahar
  • TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank Authors: Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil and Stephan Wolf
  • The Error is the Feature: How to Forecast Lightning using a Model Prediction Error Authors: Christian Schön, Jens Dittrich and Richard Müller
  • The Identification and Estimation of Direct and Indirect Effects in Online A/B Tests through Causal Mediation Analysis Authors: Xuan Yin and Liangjie Hong
  • The Secret Lives of Names? Name Embeddings from Social Media Authors: Junting Ye and Steven Skiena
  • Time-Series Anomaly Detection Service at Microsoft Authors: Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Tony Xing, Xiaoyu Kou, Mao Yang and Jie Tong
  • Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation Authors: Xiao Zhou, Cecilia Mascolo and Zhongxiang Zhao
  • Towards Identifying Impacted Users in Cellular Services Authors: Shobha Venkataraman and Jia Wang
  • Towards Knowledge-Based Personalized Product Description Generation in E-commerce Authors: Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou and Jie Tang
  • Towards sustainable dairy management - a machine learning enhanced method for estrus detection Authors: Kevin Fauvel, Véronique Masson, Élisa Fromont, Philippe Faverdin and Alexandre Termier
  • TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme Authors: Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu and Yu Zheng
  • TV Advertisement Scheduling by Learning Expert Intentions Authors: Yasuhisa Suzuki, Wemer Wee and Itaru Nishioka
  • Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform Authors: Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi and Abhijnan Chakraborty
  • Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena Authors: Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li and Wenwu Zhu
  • Understanding Consumer Journey using Attention based Recurrent Neural Networks Authors: Yichao Zhou, Shaunak Mishra, Jelena Gligorijevic, Tarun Bhatia and Narayan Bhamidipati
  • Understanding the Role of Style in E-commerce Shopping Authors: Hao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu and Liangjie Hong
  • Unsupervised Clinical Language Translation Authors: Wei-Hung Weng, Yu-An Chung and Peter Szolovits
  • UrbanFM: Inferring Fine-Grained Urban Flows Authors: Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David Rosenblum and Yu Zheng
  • Using Twitter to Predict When Vulnerabilities will be Exploited Authors: Haipeng Chen, Rui Liu, Noseong Park and V.S. Subrahmanian
  • Whole Page Optimization with Global Constraints Authors: Weicong Ding, Dinesh Govindaraj and S V N Vishwanathan

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