Accepted Papers
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Research Track Papers - Oral
Each oral presentation is 17+3 minutes.
Authors: Please be sure to see the Poster Presentation Instructions as you prepare for KDD 2018.
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Smoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang (Washington State University); Shuiwang Ji (Washington State University)
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Discovering Non-Redundant K-means Clusterings in Optimal Subspaces Dominik Mautz (Ludwig Maximilian University of Munich); Wei Ye (Ludwig Maximilian University of Munich); Claudia Plant (University of Vienna); Christian B
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Trajectory-driven Influential Billboard Placement Ping Zhang (Wuhan University); Zhifeng Bao (RMIT University); Yuchen Li (Singapore Management University); Guoliang Li (Tsinghua University); Yipeng Zhang (RMIT University); Zhiyong Peng (Wuhan University)
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Multi-Type Itemset Embedding for Learning Behavior Success Daheng Wang (University of Notre Dame); Meng Jiang (University of Notre Dame); Qingkai Zeng (University of Notre Dame); Zachary Eberhart (University of Notre Dame); Nitesh Chawla (University of Notre Dame)
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STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation Qiao Liu (University of Electronic Science and Technology of China); Yifu Zeng (University of Electronic Science and Technology of China); Refuoe Mokhosi (University of Electronic Science and Technology of China); Haibin Zhang (University of Electronic Science and Technology of China)
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Calibrated Multi-Task Learning Feiping Nie (Department of Computer Science, OPTIMAL, Northwestern Polytechnical University); Zhanxuan Hu (Department of Computer Science, OPTIMAL, Northwestern Polytechnical University); Xuelong Li (OPTIMAL, Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences)
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Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners Yao Zhou (Arizona State University); Arun Reddy Nelakurthi (Arizona State University); Jingrui He (Arizona State University)
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Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs Zemin Liu (Zhejiang University); Vincent W. Zheng (Advanced Digital Sciences Center); Zhou Zhao (Zhejiang University); Zhao Li (Alibaba Group); Hongxia Yang (Alibaba Group); Minghui Wu (Zhejiang University); Jing Ying (Zhejiang University)
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Scalable Active Learning by Approximated Error Reduction Weijie Fu (Hefei University of Technology); Meng Wang (Hefei University of Technology); Shijie Hao (Hefei University of Technology); Xindong Wu (University of Louisiana at Lafayette)
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R2SDH: Robust Rotated Supervised Discrete Hashing Jie Gui (Rutgers University); Ping Li (Baidu Research)
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Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient Yan Li (University of Michigan); Jieping Ye (University of Michigan)
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Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching Changying Du (Institute of Software, Chinese Academy of Sciences); Changde Du (Institute of Automation, Chinese Academy of Sciences); Xingyu Xie (Nanjing University of Aeronautics and Astronautics); Chen Zhang (Qihoo 360 Search Lab); Hao Wang (Qihoo 360 Search Lab)
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Disturbance Grassmann Kernels for Subspace-Based Learning Junyuan Hong (University of Science and Technology of China); Huanhuan Chen (University of Science and Technology of China); Feng Lin (University of Science and Technology of China)
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Finding Similar Exercises with a Unified Semantic Representation Qi Liu (University of Science and Technology of China); Zai Huang (University of Science and Technology of China); Zhenya Huang (University of Science and Technology of China); Chuanren Liu (Decision Sciences and MIS Department, Drexel University); Enhong Chen (University of Science and Technology of China); Yu Su (School of Computer Science and Technology, Anhui University); Guoping Hu (iFLYTEK Research)
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Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation Lu Wang (East China Normal University); Wei Zhang (East China Normal University); Xiaofeng He (East China Normal University); Hongyuan Zha (Georgia Institute of Technology)
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Transcribing Content from Structural Images with Spotlight Mechanism Yu Yin (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); Qi Liu (University of Science and Technology of China); Fuzheng Zhang (Microsoft); Xing Xie (Microsoft); Guoping Hu (iFLYTEK Research)
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StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments Chen Zhang (360 Search Lab); Hao Wang (360 Search Lab); Changying Du (360 Search Lab); Yijun Wang (LineZone Data); Can Chen (LineZone Data); Hongzhi Yin (The University of Queensland)
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Leveraging Meta-path based Context for Top N recommendation with Co-attention mechanism Binbin Hu (Beijing University of Posts and Telecommunications); Chuan Shi (Beijing University of Posts and Telecommunications); Xin Zhao (School of Information, Renmin University of China); Philip S. Yu (University of Illinois at Chicago)
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Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases Mengying Sun (Michigan State University); Inci M. Baytas (Michigan State University); Liang Zhan (University of Wisconsin-Stout); Zhangyang Wang (Texas A&M University); Jiayu Zhou (Michigan State University)
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Learning Dynamics of Decision Boundaries without Additional Labeled Data Atsutoshi Kumagai (NTT); Tomoharu Iwata (NTT)
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Arbitrary-Order Proximity Preserved Network Embedding Ziwei Zhang (Tsinghua University); Peng Cui (Tsinghua University); Xiao Wang (Tsinghua University); Jian Pei (Simon Fraser University); Xuanrong Yao (Tsinghua University); Wenwu Zhu (Tsinghua University)
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Scalable k-Means Clustering via Lightweight Coresets Olivier Bachem (ETH Zurich); Mario Lucic (Google); Andreas Krause (ETH Zurich)
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Voxel Deconvolutional Networks for 3D Brain Image Labeling Yongjun Chen (Washington State University); Hongyang Gao (Washington State University); Lei Cai (Washington State University); Min Shi (Washington State University); Dinggang Shen (The University of North Carolina at Chapel Hill); Shuiwang Ji (Washington State University)
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Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions Daniel Ting (Tableau Software)
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Metric Learning from Probabilistic Labels Mengdi Huai (State University of New York at Buffalo); Chenglin Miao (State University of New York at Buffalo); Yaliang Li (Baidu Research Big Data Lab); Qiuling Suo (State University of New York at Buffalo); Lu Su (State University of New York at Buffalo); Aidong Zhang (State University of New York at Buffalo)
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TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data Hengtong Zhang (SUNY at Buffalo); Yaliang Li (Baidu Research); Fenglong Ma (SUNY Buffalo); Jing Gao (University at Buffalo); Lu Su (The State University of New York at Buffalo)
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HeavyGuardian: Separate and Guard Hot Items in Data Streams Tong Yang (Peking University); Junzhi Gong (Peking University); Haowei Zhang (Peking University); Lei Zou (Peking University); Lei Shi (SKLCS, Institute of Software, Chinese Academy of Sciences); Xiaoming Li (Peking University)
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Can Who-Edits-What Predict Edit Survival? Ali Batuhan Yardim (Bilkent University); Victor Kristof (EPFL), Lucas Maystre (EPFL), Matthias Grossglauser (EPFL)
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Graph Classification using Structural Attention John Boaz Lee (WPI); Ryan Rossi (Adobe Research); Xiangnan Kong (WPI)
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Opinion Dynamics with Varying Susceptibility to Persuasion Rediet Abebe (Cornell University); Jon Kleinberg (Cornell University); David Parkes (Harvard University); Charalampos Tsourkakis (Boston University)
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Efficient Attribute Recommendation with Probabilistic Guarantee Chi Wang (Microsoft); Kaushik Chakrabarti (Microsoft)
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You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis Pengyang Wang (Missouri University of Science and Technology); Yanjie Fu (Missouri University of Science and Technology); Jiawei Zhang (Florida State University); Pengfei Wang (CNIC, Chinese Academy of Sciences); Yu Zheng (Urban Computing Business Unit, JD Finance); Charu Aggarwal (IBM)
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Simultaneous Urban Region Function Discovery and Popularity Estimation Via an Infinite Urbanization Bang Zhang (CSIRO); Lelin Zhang (CSIRO); Ting Guo (CSIRO); Yang Wang (CSIRO); Fang Chen (CSIRO)
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MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension Matteo Riondato (Two Sigma Investments, LP); Fabio Vandin (University of Padova)
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NetLSD: Hearing the Shape of a Graph Anton Tsitsulin (Hasso Plattner Institute); Davide Mottin (Hasso Plattner Institute); Panagiotis Karras (Aarhus University); Alexander Bronstein (Israel Institute of Technology); Emmanuel Müller
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Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning Kaixiang Lin (Michigan State University); Renyu Zhao (AI Labs, Didi Chuxing); Zhe Xu (AI Labs, Didi Chuxing); Jiayu Zhou (Michigan State University)
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A Dual Markov Chain Topic Model for Dynamic Environments Ayan Acharya (CognitiveScale Inc.); Joydeep Ghosh (The University of Texas at Austin); Mingyuan Zhou (The University of Texas at Austin)
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An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery Yaliang Li (Baidu Research); Chenglin Miao (SUNY Buffalo); Lu Su (SUNY Buffalo); Jing Gao (SUNY Buffalo); Qi Li (University of Illinois at Urbana-Champaign); Bolin Ding (Microsoft); Zhan Qin (SUNY Buffalo); Kui Ren (SUNY Buffalo)
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SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping Ioakeim Perros (Georgia Institute of Technology); Evangelos Papalexakis (University of California Riverside); Haesun Park (Georgia Institute of Technology); Richard Vuduc (Georgia Institute of Technology); Xiaowei Yan (Sutter Health); Christopher Defilippi (Inova Heart and Vascular Institute); Walter F. Stewart (Sutter Health); Jimeng Sun (Georgia Institute of Technology)
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Learning Deep Network Representations with Adversarially Regularized Autoencoders Wenchao Yu (University of California, Los Angeles); Cheng Zheng (University of California, Los Angeles); Wei Cheng (NEC Labs America); Charu Aggarwal (IBM); Dongjin Song (NEC); Bo Zong (NEC); Haifeng Chen (NEC); Wei Wang (University of California, Los Angeles)
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FASTEN: Fast Sylvester Equation Solver for Graph Mining Boxin Du (Arizona State University); Hanghang Tong (Arizona State University)
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TINET: Learning Invariant Networks via Knowledge Transfer Chen Luo (Rice University); Zhengzhang Chen (NEC Laboratories America); Lu-An Tang (NEC Laboratories America); Anshumali Shrivastava (Rice University); Zhichun Li (NEC Laboratories America); Haifeng Chen (NEC Laboratories America); Jieping Ye (University of Michigan)
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Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts Jiaqi Ma (University of Michigan); Zhe Zhao (Google); Xinyang Yi (Google); Jilin Chen (Google); Lichan Hong (Google); Ed Chi (Google)
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Towards Mitigating the Class-Imbalance Problem for Partial Label Learning Jing Wang (Southeast University); Min-Ling Zhang (Southeast University)
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Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries Ying Sun (ICT, CAS); Hengshu Zhu (Baidu Inc.); Fuzhen Zhuang (Institute of Computing Technology, Chinese Academy of Sciences); Jingjing Gu (NUAA, Nanjing); Qing He (Institute of Computing Technology, CAS)
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Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Tr Yang Yang (NanJing university); Yi-Feng Wu (LAMDA Group, Nanjing University); De-Chuan Zhan (Nanjing University); Zhi-Bin Liu (Tencent); Yuan Jiang (Nanjing University)
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New Robust Metric Learning Model Using Maximum Correntropy Criterion Jie Xu (University of Pittsburgh); Lei Luo (University of Pittsburgh); Cheng Deng (Xidian University); Heng Huang (University of Pittsburgh)
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TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction Qi Li (University of Illinois at Urbana-Champaign); Meng Jiang (University of Notre Dame); Xikun Zhang (University of Illinois at Urbana-Champaign); Meng Qu (University of Illinois at Urbana-Champaign); Timothy Hanratty (US Army Research Laboratory); Jing Gao (University at Buffalo); Jiawei Han (University of Illinois at Urbana-Champaign)
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Network Connectivity Optimization: Fundamental Limits and Effective Algorithms Chen Chen (Arizona State University); Ruiyue Peng (Translational MRI); Lei Ying (Arizona State University); Hanghang Tong (Arizona State University)
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Risk Prediction on Electronic Healthcare Records with Prior Medical Knowledge Fenglong Ma (SUNY Buffalo); Jing Gao (SUNY Buffalo); Qiuling Suo (SUNY Buffalo); Quanzeng You (Microsoft AI & Research); Jing Zhou (Eheath Inc); Aidong Zhang (SUNY Buffalo)
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Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System Jiaxi Tang (Simon Fraser University); Ke Wang (Simon Fraser University)
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xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Jianxun Lian (University of Science and Technology of China); Xiaohuan Zhou (Beijing University of Posts and Telecommunications); Fuzheng Zhang (Microsoft); Zhongxia Chen (University of Science and Technology of China); Xing Xie (Microsoft); Guangzhong Sun (University of Science and Technology of China)
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NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks Wenchao Yu (University of California, Los Angeles); Wei Cheng (NEC Labs America); Charu Aggarwal (IBM); Kai Zhang (NEC); Haifeng Chen (NEC); Wei Wang (University of California, Los Angeles)
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Cost-Effective Training of Deep CNNs with Active Model Adaptation Sheng-Jun Huang (NUAA); Jia-Wei Zhao (NUAA); Zhao-Yang Liu (NUAA)
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Adversarial Detection with Model Interpretation Ninghao Liu (Texas A&M University); Hongxia Yang (Alibaba Group); Xia Hu (Texas A&M University)
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Offline Evaluation of Ranking Policies with Click Models Shuai Li (The Chinese University of Hong Kong); Yasin Abbasi-Yadkori (Adobe Research); Branislav Kveton (Adobe Research); S. Muthukrishnan (Rutgers University); Vishwa Vinay (Adobe Research); Zheng Wen (Adobe Research)
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REST: A Reference-based Framework for Spatio-temporal Trajectory Compression Yan Zhao (School of Computer Science and Technology, Soochow University); Shuo Shang (King Abdullah University of Science and Technology); Yu Wang (The Chinese University of Hong Kong); Bolong Zheng (School of Data and Computer Science, Sun Yat-sen University); Quoc Viet Hung Nguyen (Griffith University); Kai Zheng (Big Data Research Center, University of Electronic Science and Technology of China)
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Efficient Similar Region Search with Deep Metric Learning Yiding Liu (Nanyang Technological University); Kaiqi Zhao (Nanyang Technological University); Gao Cong (Nanyang Technological University)
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High-order Proximity Preserving Information Network Hashing Defu Lian (University of Science and Technology of China); Kai Zheng (University of Science and Technology of China); Vincent W. Zheng (Advanced Digital Sciences Center); Yong Ge (University of Arizona); Longbing Cao (University of Technology, Sydney); Ivor W. Tsang (University of Technology, Sydney); Xing Xie (Microsoft)
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Decoupled Learning for Factorial Marked Temporal Point Processes Weichang Wu (Shanghai Jiao Tong University); Junchi Yan (Shanghai Jiao Tong University); Xiaokang Yang (Shanghai Jiao Tong University); Hongyuan Zha (Georgia Institute of Technology)
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R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering Pan Lu (Tsinghua University); Lei Ji (Microsoft); Wei Zhang (East China Normal University); Nan Duan (Microsoft); Ming Zhou (Microsoft); Jianyong Wang (Tsinghua University)
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Multi-label Learning with Highly Incomplete Data via Collaborative Embedding Yufei Han (Symantec Research Labs); Yun Shen (Symantec Research Labs); Guolei Sun (King Abdullah University of Science and Technology (KAUST)); Xiangliang Zhang (King Abdullah University of Science and Technology (KAUST))
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Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut Xiaojun Chen (Shenzhen University); Weijun Hong (Shenzhen University); Feiping Nie (Northwestern Polytechnical University); Dan He (Shenzhen University); Min Yang (Chinese Academy of Sciences); Joshua Z. Huang (Shenzhen University)
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SpotLight: Detecting Anomalies in Streaming Graphs Dhivya Eswaran (Carnegie Mellon University); Christos Faloutsos (Carnegie Mellon University); Sudipto Guha (Amazon); Nina Mishra (Amazon)
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Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection Guansong Pang (University of Technology, Sydney); Longbing Cao (Faculty of IT, University of Technology Sydney); Ling Chen (University of Technology, Sydney); Huan Liu (Arizona State University)
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Dynamic Embeddings for User Profiling in Twitter Shangsong Liang (King Abdullah University of Science and Technology); Xiangliang Zhang (King Abdullah University of Science and Technology); Zhaochun Ren (JD.com); Evangelos Kanoulas (University of Amsterdam)
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A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness vi Till Speicher (MPI-SWS); Hoda Heidari (ETH Zurich); Nina Grgic-Hlaca (MPI-SWS); Krishna P. Gummadi (MPI-SWS); Adish Singla (MPI-SWS); Adrian Weller (University of Cambridge); Muhammad Bilal Zafar (MPI-SWS)
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Multiview Clustering via Adaptively Weighted Procrustes Feiping Nie (Northwestern Polytechnical University); Lai Tian (Northwestern Polytechnical University); Xuelong Li (Center for OPTIMAL, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences)
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Deep Variational Network Embedding in Wasserstein Space Dingyuan Zhu (Tsinghua University); Peng Cui (Tsinghua University); Daixin Wang (Tsinghua University); Wenwu Zhu (Tsinghua University)
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Geographical Hidden Markov Tree for Flood Extent Mapping Miao Xie (University of Alabama); Zhe Jiang (University of Alabama); Arpan Man Sainju (University of Alabama)
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Embedding Temporal Network via Neighborhood Formation Yuan Zuo (Beihang University); Guannan Liu (Beihang University); Hao Lin (Beihang University); Jia Guo (Beihang University); Xiaoqian Hu (Beihang University); Junjie Wu (Beihang University)
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Algorithms for Hiring and Outsourcing in the Online Labor Market Aris Anagnostopoulos (Sapienza University of Rome); Carlos Castillo (Universitat Pompeu Fabra); Adriano Fazzone (Sapienza University of Rome); Stefano Leonardi (Sapienza University of Rome); Evimaria Terzi (Boston University)
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Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling Charles Sutton (The University of Edinburgh); Timothy Hobson (The Alan Turing Institute); James Geddes (The Alan Turing Institute); Rich Caruana (Microsoft)
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Hierarchical Taxonomy Aware Network Embedding Jianxin Ma (Tsinghua University); Peng Cui (Tsinghua University); Xiao Wang (Tsinghua University); Wenwu Zhu (Tsinghua University)
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Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution Lingyang Chu (Simon Fraser University); Xia Hu (Simon Fraser University); Juhua Hu (Simon Fraser University); Lanjun Wang (Huawei Technology Co. Ltd); Jian Pei (JD.com and Simon Fraser University)
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TaxoGen: Constructing Topical Concept Taxonomy by Adaptive Term Embedding and Clustering Chao Zhang (University of Illinois at Urbana-Champaign); Fangbo Tao (Facebook); Xiusi Chen (University of Illinois at Urbana-Champaign); Jiaming Shen (University of Illinois at Urbana-Champaign); Meng Jiang (University of Notre Dame); Brian Sadler (U.S. Army Research Lab); Michelle Vanni (U.S. Army Research Lab); Jiawei Han (University of Illinois at Urbana-Champaign)
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Deep Recursive Network Embedding with Regular Equivalence Ke Tu (Tsinghua University); Peng Cui (Tsinghua University); Xiao Wang (Tsinghua University); Philip S. Yu (University of Illinois at Chicago); Wenwu Zhu (Tsinghua University)
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PCA by Determinant Optimization has no Spurious Local Optima Raphael Hauser (University of Oxford); Armin Eftekhari (Alan Turing Institute); Heinrich Matzinger (Georgia Institute of Technology)
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Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution Kishlay Jha (State University of New York at Buffalo); Guangxu Xun (State University of New York at Buffalo); Yaqing Wang (State University of New York at Buffalo); Vishrawas Gopalakrishnan (State University of New York at Buffalo); Aidong Zhang (State University of New York at Buffalo)
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Learning and Interpreting Complex Distributions in Empirical Data Chengxi Zang (Tsinghua University); Peng Cui (Tsinghua University); Wenwu Zhu (Tsinghua University)
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Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget Jaewoo Lee (University of Georgia); Daniel Kifer (The Pennsylvania State University)
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Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner (Technical University of Munich); Amir Akbarnejad (Technical University of Munich); Stephan Günnemann (Technical University of Munich)
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Optimal Distributed Submodular Optimization via Sketching Mohammadhossein Bateni (Google); Hossein Esfandiari (Harvard University); Vahab Mirrokni (Google)
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Stable Prediction across Unknown Environments Kun Kuang (Tsinghua University); Peng Cui (Tsinghua University); Susan Athey (Stanford University); Ruoxuan Xiong (Stanford University); Bo Li (Tsinghua University)
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Feedback-Guided Anomaly Discovery via Online Optimization Md Amran Siddiqui (Oregon State University); Alan Fern (Oregon State University); Thomas Dietterich (Oregon State University); Ryan Wright (Galois, Inc.); Alec Theriault (Galois, Inc.); David Archer (Galois, Inc.)
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Active Feature Acquisition with Supervised Matrix Completion Sheng-Jun Huang (NUAA); Miao Xu (RIKEN Center for AIP); Ming-Kun Xie (NUAA); Masashi Sugiyama (RIKEN Center for AIP); Gang Niu (The University of Tokyo); Songcan Chen (NUAA)
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Node Similarity with q-Grams for Real-World Labeled Networks Roberto Grossi (University of Pisa); Alessio Conte (University of Pisa); Gaspare Ferraro (University of Pisa); Andrea Marino (University of Pisa); Kunihiko Sadakane (University of Tokyo); Takeaki Uno (National Institute of Informatics, Japan)
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Multi-Pointer Co-Attention Networks for Recommendation Yi Tay (Nanyang Technological University); Anh Tuan Luu (I2r); Siu Cheung Hui (Nanyang Technological University)
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Scalable Spectral Clustering Using Random Binning Features Lingfei Wu (IBM); Pin-Yu Chen (IBM); Ian En-Hsu Yen (CMU); Fangli Xu (College of William & Mary); Yinglong Xia (Huawei Research); Charu Aggarwal (IBM)
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Model-based Clustering of Short Text Streams Jianhua Yin (School of Computer Science and Technology, Shandong University); Daren Chao (School of Computer Science and Technology, Shandong University); Zhongkun Liu (School of Computer Science and Technology, Shandong University); Wei Zhang (Shanghai Key Laboratory of Trustworthy Computing, East China Normal University); Xiaohui Yu (School of Computer Science and Technology, Shandong University); Jianyong Wang (Tsinghua University)
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A Treatment Engine by Predicting Next-Period Prescriptions Bo Jin (Dalian University of Technology); Haoyu Yang (Dalian University of Technology); Leilei Sun (Tsinghua University); Chuanren Liu (Drexel University); Yue Qu (Dalian University of Technology); Jianing Tong (Tongji University)
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IntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light Control Hua Wei (The Pennsylvania State University); Guanjie Zheng (The Pennsylvania State University); Huaxiu Yao (The Pennsylvania State University); Zhenhui Li (The Pennsylvania State University)
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Towards Explanation of DNN-based Prediction with Guided Feature Inversion Mengnan Du (Texas A&M University); Ninghao Liu (Texas A&M University); Qingquan Song (Texas A&M University); Xia Hu (Texas A&M University)
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Sequences of Sets Austin Benson (Cornell University); Ravi Kumar (Google); Andrew Tomkins (Google)
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Multi-Round Influence Maximization Lichao Sun (University of Illinois at Chicago); Weiran Huang (Tsinghua University); Philip Yu (University of Illinois at Chicago); Wei Chen (Microsoft)
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Generalized Score Functions for Causal Discovery Biwei Huang (Carnegie Mellon University); Kun Zhang (Carnegie Mellon University); Yizhu Lin (Carnegie Mellon University); Bernhard Scho?lkopf (Max-Planck Institute for Intelligent Systems); Clark Glymour (Carnegie Mellon University)
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XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music Hongyuan Zhu (USTC); Qi Liu (USTC); Nicholas Jing Yuan (Microsoft); Chuan Qin (USTC); Jiawei Li (Soochow University); Kun Zhang (USTC); Guang Zhou (Microsoft); Furu Wei (Microsoft); Yuanchun Xu (Microsoft); Enhong Chen (USTC)
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Deep r-th Root Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval Dongjin Song (NEC Labs America); Ning Xia (NEC Labs America); Wei Cheng (NEC Labs America); Haifeng Chen (NEC Labs America); Dacheng Tao (The University of Sydney)
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FAHES: A Robust Disguised Missing Values Detector Mourad Ouzzani (Qatar Computing Research Institute, HBKU); Nan Tang (Qatar Computing Research Institute, HBKU); Ahmed Elmagarmid (Qatar Computing Research Institute, HBKU); Raul Castro Fernandez (CSAIL MIT); Abdulhakim A. Qahtan (Qatar Computing Research Institute, HBKU)
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Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach 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)
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Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm Zeyang Ye (Stony Brook University); Lihao Zhang (Stony Brook University); Keli Xiao (Stony Brook University); Wenjun Zhou (University of Tennessee Knoxville); Yong Ge (University of Arizona); Yuefan Deng (Stony Brook University)
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Local Latent Space Models for Top-N Recommendation Evangelia Christakopoulou (University of Minnesota); George Karypis (University of Minnesota)
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Investor-Imitator: A Framework for Trading Knowledge Extraction Yi Ding (Nanjing University of Aeronautics and Astronautics); Weiqing Liu (Microsoft); Jiang Bian (Microsoft); Daoqiang Zhang (Nanjing University of Aeronautics and Astronautics); Tie-Yan Liu (Microsoft)
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Discrete Ranking-based Matrix Factorization with Self-Paced Learning Yan Zhang (University of Science and Technology of China); Haoyu Wang (University of Science and Technology of China); Defu Lian (University of Science and Technology of China); Ivor W. Tsang (University of Technology, Sydney); Hongzhi Yin (The University of Queensland); Guowu Yang (University of Science and Technology of China)
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LARC: Learning Activity-Regularized overlapping Communities across Time Alexander Gorovits (University at Albany-SUNY); Ekta Gujral (University of California Riverside); Evangelos Papalexakis (University of California Riverside); Petko Bogdanov (University at Albany-SUNY)
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EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph Properties Himchan Park (DGIST); Min-Soo Kim (DGIST)
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Training Big Random Forests with Little Resources Fabian Gieseke (University of Copenhagen); Christian Igel (University of Copenhagen)
Research Track Papers - Poster
Each oral presentation is 17+3 minutes.
Authors: Please be sure to see the Poster Presentation Instructions as you prepare for KDD 2018.
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Large-Scale Learnable Graph Convolutional Networks Hongyang Gao (Washington State University); Zhengyang Wang (Washington State University); Shuiwang Ji (Washington State University)
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Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data Yifan Zhang (South China University of Technology); Peilin Zhao (South China University of Technology); Jiezhang Cao (South China University of Technology); Wenye Ma (South China University of Technology); Junzhou Huang (University of Texas at Arlington); Qingyao Wu (South China University of Technology); Mingkui Tan (South China University of Technology)
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Multi-Label Inference for Crowdsourcing Jing Zhang (Nanjing University of Science and Technology); Xindong Wu (University of Louisiana at Lafayette)
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Deep Adversarial Learning for Multi-Modality Missing Data Completion Lei Cai (Washington State University); Zhengyang Wang (Washington State University); Hongyang Gao (Washington State University); Dinggang Shen (The University of North Carolina at Chapel Hill); Shuiwang Ji (Washington State University)
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SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization Dawei Zhou (Arizona State University); Jingrui He (Arizona State University); Hongxia Yang (Alibaba Group); Wei Fan (Tencent Medical AI Lab)
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Towards Evolutionary Compression Yunhe Wang (Peking University); Chang Xu (The University of Sydney); Jiayan Qiu (The University of Sydney); Chao Xu (Peking University); Dacheng Tao (The University of Sydney)
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Accurate and Fast Asymmetric Locality-Sensitive Hashing Scheme for Maximum Inner Product Search Qiang Huang (Sun Yat-Sen University); Guihong Ma (Sun Yat-Sen University); Jianlin Feng (Sun Yat-Sen University); Qiong Fang (South China University of Technology); Anthony K. H. Tung (National University of Singapore)
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Parsing to Programs: A Framework for Situated QA Mrinmaya Sachan (Carnegie Mellon University); Eric P. Xing (Carnegie Mellon University)
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Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning Hung Le (Deakin University); Truyen Tran (Deakin University); Svetha Venkatesh (Deakin University)
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Automated Local Regression Discontinuity Design Discovery William Herlands (Carnegie Mellon University); Edward McFowland Iii (University of Minnesota); Andrew Wilson (Cornell University); Daniel Neill (Carnegie Mellon University)
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PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction Hongxu Chen (The University of Queensland); Hongzhi Yin (The University of Queensland); Weiqing Wang (The University of Queensland); Hao Wang (Qihoo 360 Inc); Quoc Viet Hung Nguyen (Griffith University); Xue Li (The University of Queensland)
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Content to Node: Self-translation Network Embedding Jie Liu (Nankai University); Zhicheng He (Nankai University); Lai Wei (Nankai University); Yalou Huang (Nankai University)
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Isolation Kernel and Its Effect on SVM Kai Ming Ting (Federation University Australia); Yue Zhu (Nanjing University); Zhi-Hua Zhou (Nanjing University)
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Variable Selection and Task Grouping for Multi-Task Learning Junyong Jeong (POSSTECH); Chi-Hyuck Jun (POSTECH)
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Are your data gathered? Alban Siffer (Univ. Rennes, Inria, CNRS, IRISA, Amossys); Pierre-Alain Fouque (Univ. Rennes, CNRS, IRISA, IUF); Alexandre Termier (Univ. Rennes, Inria, CNRS, IRISA); Christine Largou
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Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning Thomas Vandal (Northeastern University); Evan Kodra (risQ Inc.); Jennifer Dy (Northeastern University); Sangram Ganguly (BAERI and NASA Ames Research Center); Ramakrishna Nemani (NASA); Auroop Ganguly (Northeastern University)
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Efficient Mining of the Most Significant Patterns with Permutation Testing Leonardo Pellegrina (University of Padova); Fabio Vandin (University of Padova)
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On Interpretation of Network Embedding via Taxonomy Induction Ninghao Liu (Texas A&M University); Xiao Huang (Texas A&M University); Jundong Li (Arizona State University); Xia Hu (Texas A&M University)
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Neural Memory Streaming Recommender Networks with Adversarial Training Qinyong Wang (The University of Queensland); Hongzhi Yin (The University of Queensland); Zhiting Hu (Language Technologies Institute, Carnegie Mellon University); Defu Lian (School of Computer Science and Engineering, University of Electronic Science and Technology of China); Hao Wang (360 Search Lab); Zi Huang (The University of Queensland)
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Extremely Fast Decision Tree Chaitanya Manapragada (Monash University); Geoffrey Webb (Monash University); Mahsa Salehi (Monash University)
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Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi (University of Illinois at Urbana-Champaign); Qi Zhu (University of Illinois Urbana-Champaign); Fang Guo (University of Illinois Urbana-Champaign); Chao Zhang (University of Illinois Urbana-Champaign); Jiawei Han (University of Illinois at Urbana-Champaign)
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On the Generative Discovery of Structured Medical Knowledge Chenwei Zhang (University of Illinois at Chicago); Yaliang Li (Baidu Research Big Data Lab); Nan Du (Tencent Medical AI Lab); Wei Fan (Tencent Medical AI Lab); Philip S. Yu (University of Illinois at Chicago)
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Accelerated Equivalence Structure Extraction via Pairwise Incremental Search Seiya Satoh (National Institute of Advanced Industrial Science and Technology); Yoshinobu Takahashi (The University of Electro-Communications); Hiroshi Yamakawa (DWANGO Co., Ltd.)
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Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data Chaoyue Niu (Shanghai Jiao Tong University); Zhenzhe Zheng (Shanghai Jiao Tong University); Fan Wu (Shanghai Jiao Tong University); Shaojie Tang (The University of Texas at Dallas); Xiaofeng Gao (Shanghai Jiao Tong University); Guihai Chen (Shanghai Jiao Tong University)
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Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Beh Zhi Li (University of Science and Technology of China); Hongke Zhao (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); Tao Mei (JD.com); Enhong Chen (University of Science and Technology of China)
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Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data Khanh Nguyen (Deakin University); Trung Le (PRaDA, Deakin University, Australia); Tu Dinh Nguyen (Deakin University); Dinh Phung (Deakin University); Geo?rey Webb (Monash University)
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Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors Ying Shan (Microsoft); Jian Jiao (Microsoft); Jie Zhu (Microsoft); Jc Mao (Microsoft)
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DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams Gyoung S. Na (Pohang University of Science and Technology (POSTECH)); Donghyun Kim (Pohang University of Science and Technology (POSTECH),); Hwanjo Yu (Pohang University of Science and Technology (POSTECH),)
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Learning Structural Node Embeddings via Diffusion Wavelets Claire Donnat (Stanford University); Marinka Zitnik (Stanford University); David Hallac (Stanford University); Jure Leskovec (Stanford University)
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Transfer Learning via Feature Isomorphism Discovery Shimin Di (The Hong Kong University of Secience and Technology); Jingshu Peng (The Hong Kong University of Secience and Technology); Yanyan Shen (Shanghai Jiao Tong University); Lei Chen (The Hong Kong University of Secience and Technology)
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Demand-Aware Charger Planning for Electric Vehicle Sharing Bowen Du (SKLSDE Lab and BDBC, Beihang University); Yongxin Tong (SKLSDE Lab and BDBC, Beihang University); Zimu Zhou (Laboratory TIK, ETH Zurich); Qian Tao (SKLSDE Lab and BDBC, Beihang University); Wenjun Zhou (Department of BAS, University of Tennessee)
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Multi-task Representation Learning for Travel Time Estimation Yaguang Li (University of Southern California); Kun Fu (DiDi AI Labs); Zheng Wang (DiDi AI Labs); Cyrus Shahabi (University of Southern California); Jieping Ye (DiDi AI Labs); Yan Liu (University of Southern California)
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Safe Triplet Screening for Distance Metric Learning 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)
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Self-Paced Network Embedding Hongchang Gao (University of Pittsburgh); Heng Huang (University of Pittsburgh)
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Sketched Follow-The-Regularized-Leader for Online Factorization Machine Luo Luo (Shanghai Jiao Tong University); Wenpeng Zhang (Tsinghua University); Zhihua Zhang (Peking University); Wenwu Zhu (Tsinghua University); Tong Zhang (Tencent AI Lab); Jian Pei (Simon Fraser University)
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Coupled Context Modeling for Deep Chit-Chat: Towards Conversations between Human and Computer Rui Yan (Peking University); Dongyan Zhao (Peking University)
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Learning-to-Ask: Knowledge Acquisition via 20 Questions Yihong Chen (Tsinghua University); Bei Chen (Microsoft); Xuguang Duan (Tsinghua University); Jian-Guang Lou (Microsoft); Yue Wang (Tsinghua University); Wenwu Zhu (Tsinghua University); Yong Cao (Shanghai Higgs Intelligence & Technology Co. Ltd.)
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Multi-Cast Attention Networks Yi Tay (Nanyang Technological University); Anh Tuan Luu (Institute for Infocomm Research, Singapore); Siu Cheung Hui (Nanyang Technological University)
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Context-aware Academic Collaborator Recommendation Zheng Liu (The Hong Kong University of Science and Technology); Xing Xie (Microsoft); Lei Chen (The Hong Kong University of Science and Technology)
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RAIM: Recurrent Attentive and Intensive Modeling of Multimodal Continuous Patient Monitoring Data Yanbo Xu (Georgia Institute of Technology); Siddharth Biswal (Georgia Institute of Technology); Shriprasad Deshpande (Emory University School of Medicine); Kevin Maher (Emory University School of Medicine); Jimeng Sun (Georgia Institute of Technology)
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Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer! Nandani Garg (IIT Madras); Sayan Ranu (IIT Delhi)
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Hyperparameter Importance Across Datasets Jan N. van Rijn (University of Freiburg); Frank Hutter (University of Freiburg)
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Classifying and Counting with Recurrent Contexts Denis Dos Reis (University of S
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Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis Jingyuan Wang (Beihang University); Ze Wang (Beihang University); Jianfeng Li (Beihang University); Junjie Wu (Beihang University)
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Active Opinion Maximization in Social Networks Xinyue Liu (Worcester Polytechnic Institute); Xiangnan Kong (Worcester Polytechnic Institute); Philip Yu (University of Illinois at Chicago)
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Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calcul Adam Derek Cobb (University of Oxford); Richard Everett (University of Oxford); Andrew Markham (University of Oxford); Stephen Roberts (University of Oxford)
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Deep Censored Learning of the Winning Price in the Real Time Bidding Wush Chi-Hsuan Wu (National Taiwan University); Mi-Yen Yeh (Institute of Information Science, Academia Sinica); Ming-Syan Chen (National Taiwan University)
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Optimizing cluster-based randomized experiments under monotonicity Jean Pouget-Abadie (Harvard University); David Parkes (Harvard University); Vahab Mirrokni (Google); Edoardo M. Airoldi (Harvard University)
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Learning Credible Models Jiaxuan Wang (University of Michigan); Jeeheh Oh (University of Michigan); Haozhu Wang (University of Michigan); Jenna Wiens (University of Michigan)
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Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems Georgina Peake (Channel 4 Television); Jun Wang (Computer Science, University College London)
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Quantifying and minimizing risk of conflict in social networks Xi Chen (Dept. of Electronics and Information Systems, IDLab, Ghent University); Jefrey Lijffijt (Dept. of Electronics and Information Systems, IDLab, Ghent University); Tijl De Bie (Dept. of Electronics and Information Systems, IDLab, Ghent University)
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A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization Ching-Pei Lee (University of Wisconsin-Madison); Cong Han Lim (University of Wisconsin-Madison); Stephen Wright (University of Wisconsin-Madison)
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DeepInf: Social Influence Prediction with Deep Learning Jiezhong Qiu (Tsinghua University); Jian Tang (HEC Montreal & Montreal Institute for Learning Algorithms (MILA)); Hao Ma (Microsoft); Yuxiao Dong (Microsoft); Kuansan Wang (Microsoft); Jie Tang (Tsinghua University)
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An Iterative Global Structure-Assisted Labeled Network Aligner Abdurrahman Yaşar (Georgia Institute of Technology) and Umit V. Catalyurek (Georgia Institute of Technology)
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Discovering Models from Structural and Behavioral Brain Imaging Data Zilong Bai (University of California, Davis); Buyue Qian (Department of Computer Science Xi'An Jiaotong University); Ian Davidson (University of California, Davis)
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On Discrimination Discovery and Removal in Ranked Data using Causal Graph Yongkai Wu (University of Arkansas); Lu Zhang (University of Arkansas); Xintao Wu (University of Arkansas)
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Fairness of Exposure in Rankings Ashudeep Singh (Cornell University); Thorsten Joachims (Cornell University)
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BagMinHash - Minwise Hashing Algorithm for Weighted Sets Otmar Ertl (Dynatrace)
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Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation Boyang Liu (Michigan State University); Pang-Ning Tan (Michigan State University); Jiayu Zhou (Michigan State University)
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New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine Bin Gu (University of Pittsburgh); Xiao-Tong Yuan (Nanjing University of Information Science & Technology); Songcan Chen (Nanjing University of Aeronautics and Astronautics); Heng Huang (University of Pittsburgh)
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D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes Alessio Conte (National Institute of Informatics, Japan); Tiziano De Matteis (University of Pisa); Daniele De Sensi (University of Pisa); Roberto Grossi (Universita' di Pisa); Andrea Marino (Universita' di Pisa); Luca Versari (Universita' di Pisa)
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Butterfly Counting in Bipartite Networks Seyed-Vahid Sanei-Mehri (Iowa State University); Ahmet Erdem Sariyuce (University at Buffalo); Srikanta Tirthapura (Iowa State University)
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An Empirical Evaluation of Sketching for Numerical Linear Algebra Yogesh Dahiya (IIT Kanpur); Dimitris Konomis (CMU); David P. Woodruff (Carnegie Mellon University)
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Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories Ian Fox (University of Michigan); Lynn Ang (Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan); Mamta Jaiswal (Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan); Rodica Pop-Busui (Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan); Jenna Wiens (University of Michigan)
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Active Search of Connections for Case Building and Combating Human Trafficking Reihaneh Rabbany (Carnegie Mellon University); David Bayani (Carnegie Mellon University's Auton Labratory); Artur Dubrawski (Carnegie Mellon University)
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Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud Ji Wang (National University of Defense Technology); Jianguo Zhang (University of Illinois at Chicago); Weidong Bao (National University of Defense Technology); Xiaomin Zhu (National University of Defense Technology); Bokai Cao (University of Illinois at Chicago); Philip S. Yu (University of Illinois at Chicago)
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xStream: Outlier Detection in Feature-Evolving Data Streams Emaad Ahmed Manzoor (Carnegie Mellon University); Hemank Lamba (Carnegie Mellon University); Leman Akoglu (Carnegie Mellon University)
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Semi-Supervised Generative Adversarial Network for Gene Expression Inference Kamran Ghasedi (University of Pittsburgh); Xiaoqian Wang (University of Pittsburgh); Heng Huang (University of Pittsburgh)
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HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion Jiaming Shen (University of Illinois at Urbana-Champaign); Zeqiu Wu (University of Illinois at Urbana-Champaign); Dongming Lei (University of Illinois at Urbana-Champaign); Chao Zhang (University of Illinois at Urbana-Champaign); Xiang Ren (University of Southern California); Michelle T. Vanni (U.S. Army Research Laboratory); Brain M. Sadler (U.S. Army Research Laboratory); Jiawei Han (University of Illinois at Urbana-Champaign)
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Prediction-time Efficient Classification Using Feature Computational Dependencies Liang Zhao (George Mason University); Amir Alipour-Fanid (George Mason University); Martin Slawski (George Mason University); Kai Zeng (George Mason University)
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Approximating the Spectrum of a Graph David Cohen-Steiner (INRIA); Weihao Kong (Stanford University); Christian Sohler (TU Dortmund); Gregory Valiant (Stanford University)
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When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data Lin Gong (University of Virginia); Hongning Wang (University of Virginia)
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Latent variable time-varying network inference Federico Tomasi (DIBRIS - Universita degli studi di Genova); Veronica Tozzo (DIBRIS - Universita degli studi di Genova); Saverio Salzo (IIT); Alessandro Verri (DIBRIS - Universita degli studi di Genova)
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Stablizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation Shi-Yong Chen (Nanjing University); Yang Yu (Nanjing University); Qing Da (Alibaba Group); Jun Tan (Alibaba Group); Hai-Kuan Huang (Alibaba Group); Hai-Hong Tang (Alibaba Group)
Applied Data Science Track Papers - Oral
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I Know You’ll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social App Carl Yang (University Of Illinois, Urbana Champaign); Xiaolin Shi (Snap Inc.); Jie Luo (Snap Inc.); Jiawei Han (University of Illinois, Urbana Champaign)
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PrePeP – A Tool for the Identification and Characterization of Pan Assay Interference Compounds Maksim Koptelov (University of Caen Normandy); Albrecht Zimmermann (University of Caen Normandy); Pascal Bonnet (University of Orléans); Ronan Bureau (University of Caen Normandy); Bruno Crémilleux (University of Caen Normandy)
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Large-Scale Order Dispatch in On-Demand Ride-Sharing Platforms: A Learning and Planning Approach Zhe Xu (AI Labs, Didi Chuxing); Zhixin Li (AI Labs, Didi Chuxing); Qingwen Guan (AI Labs, Didi Chuxing); Dingshui Zhang (AI Labs, Didi Chuxing); Qiang Li (AI Labs, Didi Chuxing); Junxiao Nan (AI Labs, Didi Chuxing); Chunyang Liu (AI Labs, Didi Chuxing); Wei Bian (AI Labs, Didi Chuxing); Jieping Ye (AI Labs, Didi Chuxing)
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WattHome: Identifying Energy-Inefficient Homes at City-scale Srinivasan Iyengar (University of Massachusetts Amherst); Stephen Lee (University of Massachusetts Amherst); David Irwin (University of Massachusetts Amherst); Prashant Shenoy (University of Massachusetts Amherst); Benjamin Weil (University of Massachusetts Amherst)
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Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks Yabo Ni (Alibaba Group); Dan Ou (Alibaba Group); Shichen Liu (Alibaba Group); Xiang Li (Alibaba Group); Wenwu Ou (Alibaba Group); Anxiang Zeng (Alibaba Group); Luo Si (Alibaba Group)
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E-tail product return prediction via hypergraph-based local graph cut Jianbo Li (Three Bridges Capital); Jingrui He (Arizona State University); Yada Zhu (IBM)
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Customized Regression Model for Airbnb Dynamic Pricing Peng Ye (Airbnb); Julian Qian (Ant financial); Jieying Chen (Airbnb); Chen-Hung Wu (Airbnb); Yitong Zhou (Airbnb); Spencer De Mars (Airbnb); Frank Yang (Airbnb); Li Zhang (Airbnb)
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TATC: Predicting Alzheimer’s Disease with Actigraphy Data Jia Li (The Chinese University of Hong Kong); Yu Rong (Tencent AI Lab); Helen Meng (The Chinese University of Hong Kong); Zhihui Lu (The Chinese University of Hong Kong); Timothy Kwok (The Chinese University of Hong Kong); Hong Cheng (The Chinese University of Hong Kong)
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Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data Tom Decroos (Katholieke Universiteit Leuven); Jan Van Haaren (SciSports); Jesse Davis (Katholieke Universiteit Leuven)
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Corpus Conversion Service: A machine learning platform to ingest documents at scale. Peter W J Staar (IBM); Michele Dolfi (IBM); Christoph Auer (IBM); Costas Bekas (IBM)
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Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks Avishek Kumar (The University of Chicago); Syed Ali Asad Rizvi (University of Oxford); Benjamin Brooks (University of Chicago); Ali Vanderveld (ShopRunner); Kevin Hayes Wilson (The Lab @ DC); Chad Kenney (City of Denver, CO); Adria Finch (City of Syracuse, NY); Andrew Maxwell (City of Syracuse, NY); Sam Edelstein (City of Syracuse, NY); Joe Zuckerbraun (City of Syracuse, NY); Rayid Ghani (University of Chicago)
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Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property P Garrett Goh (Pacific Northwest National Laboratory); Charles Siegel (Pacific Northwest National Laboratory); Abhinav Vishnu (Pacific Northwest National Laboratory); Nathan Hodas (Pacific Northwest National Laboratory)
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OpenTag: Open Attribute Value Extraction from Product Profiles Guineng Zheng (University of Utah); Subhabrata Mukherjee (Amazon); Xin Luna Dong (Amazon); Feifei Li (University of Utah)
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Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding Kyle Hundman (NASA); Valentino Constantinou (NASA); Christopher Laporte (NASA); Ian Colwell (NASA); Tom Soderstrom (NASA)
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Online Parameter Selection for Web-based Ranking Problems Deepak Agarwal (LinkedIn Corporation); Kinjal Basu (LinkedIn Corporation); Souvik Ghosh (LinkedIn Corporation); Ying Xuan (LinkedIn Corporation); Yang Yang (LinkedIn Corporation); Liang Zhang (LinkedIn Corporation)
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Rare Query Expansion Through Generative Adversarial Networks in Search Advertising Mu-Chu Lee (Carnegie Mellon University); Bin Gao (Microsoft); Ruofei Zhang (Microsoft)
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Learning and Transferring IDs Representation in E-commerce Kui Zhao (Machine Intelligence Technologies, Alibaba Group); Yuechuan Li (Machine Intelligence Technologies, Alibaba Group); Zhaoqian Shuai (Machine Intelligence Technologies, Alibaba Group); Cheng Yang (Machine Intelligence Technologies, Alibaba Group)
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Collaborative Deep Metric Learning for Video Understanding Joonseok Lee (Google); Sami Abu-El-Haija (Google); Balakrishnan Varadarajan (Google); Paul Natsev (Google)
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Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
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False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Exper Yuxiang Xie (University of Washington); Nanyu Chen (Snap Inc.); Xiaolin Shi (Snap Inc.)
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Rosetta: Large scale system for text detection and recognition in images Fedor Borisyuk (Facebook Inc.); Albert Gordo (Facebook Inc.); Viswanath Sivakumar (Facebook Inc.)
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Estimating Glaucomatous Visual Sensitivity from Retinal Thickness by Using Pattern-Based Regularizat Hiroki Sugiura (The University of Tokyo); Taichi Kiwaki (The University of Tokyo); Siamak Yousefi (University of Tennessee); Hiroshi Murata (The University of Tokyo); Ryo Asaoka (The University of Tokyo); Kenji Yamanishi (The University of Tokyo)
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Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning Vijay Manikandan Janakiraman (USRA/ NASA ARC)
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Towards station-level demand prediction for effective rebalancing in bike-sharing systems Pierre Hulot (Polytechnique Montréal); Daniel Aloise (Polytechnique Montréal); Sanjay Jena (ESG-UQAM)
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Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability Yuecheng Rong (Baidu); Zhimian Xu (Baidu); Ruibo Yan (Baidu); Xu Ma (Baidu)
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Near real-time optimization of activity-based notifications Yan Gao (LinkedIn); Viral Gupta (LinkedIn); Jinyun Yan (LinkedIn); Changji Shi (LinkedIn); Zhongen Tao (LinkedIn); Pj Xiao (LinkedIn); Curtis Wang (LinkedIn); Shipeng Yu (LinkedIn); Romer Rosales (LinkedIn); Ajith Muralidharan (LinkedIn); Shaunak Chatterjee (LinkedIn)
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Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks Shahar Harel (Technion); Kira Radinsky (Technion – Israel Institute of Technology)
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Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project Tom Diethe (Amazon); Mike Holmes (University of Bristol); Meelis Kull (University of Tartu); Miquel Perello Nieto (University of Bristol); Kacper Sokol (University of Bristol); Hao Song (University of Bristol); Emma Tonkin (University of Bristol); Niall Twomey (University of Bristol); Peter Flach (University of Bristol)
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Real-time Personalization using Embeddings for Search Ranking at Airbnb Mihajlo Grbovic (Airbnb); Haibin Cheng (Airbnb)
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Detecting Illegal Vehicle Parking Events using Sharing Bikes’ Trajectories Tianfu He (Harbin Institution of Technology); Jie Bao (Independent); Ruiyuan Li (Urban Computing Business Unit, JD Finance); Sijie Ruan (Urban Computing Business Unit, JD Finance); Yanhua Li (Worcester Polytechnic Institute (WPI)); Chao Tian (Beijing Mobike Technology Co., Ltd.); Yu Zheng (Urban Computing Business Unit, JD Finance)
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Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying (Stanford University); Ruining He (Pinterest Inc.); Kaifeng Chen (Pinterest Inc.); Pong Eksombatchai (Pinterest Inc.); William L. Hamilton (Stanford University); Jure Leskovec (Stanford University)
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Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers Yeming Shi (Dstillery, Inc.); Claudia Perlich (Dstillery, Inc.); Rod Hook (Dstillery, Inc.)
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Q&R: A Two-Stage Approach Toward Interactive Recommendation Konstantina Christakopoulou (University of Minnesota); Alex Beutel (Google); Rui Li (Google); Sagar Jain (Google); Ed H. Chi (Google)
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ActiveRemediation: The Search for Lead Pipes in Flint, Michigan Jacob Abernethy (Georgia Institute of Technology); Alex Chojnacki (University of Michigan); Arya Farahi (University of Michigan - Ann Arbor); Eric Schwartz (University of Michigan); Jared Webb (Brigham Young University)
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Winner’s Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments Minyong Lee (Airbnb); Milan Shen (Airbnb)
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Detection of Apathy in Alzheimer Patients by Analysing Visual Scanning Behaviour with RNNs Jonathan Chung (University of Toronto); Sarah A. Chau (University of Toronto); Nathan Herrmann (University of Toronto); Krista L. Lanctôt (University of Toronto); Moshe Eizenman (University of Toronto)
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A Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction Bhavkaran Singh Walia (Carnegie Mellon University); Qianyi Hu (Carnegie Mellon University); Jeffrey Chen (Carnegie Mellon University); Fangyan Chen (Carnegie Mellon University); Jessica Lee (Carnegie Mellon University); Nathan Kuo (Carnegie Mellon University); Palak Narang (Carnegie Mellon University); Jason Batts (Pittsburgh Bureau of Fire); Geoffrey Arnold (Pittsburgh Department of Innovation and Performance); Michael Madaio (Carnegie Mellon University)
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Optimization of a SSP’s Header Bidding Strategy using Thompson Sampling Grégoire Jauvion (AlephD), Nicolas Grislain (AlephD), Pascal Dkengne Sielenou (Institut de Mathématiques de Toulouse), Aurélien Garivier (Institut de Mathématiques de Toulouse), and Sébastien Gerchinovitz (Institut de Mathématiques de Toulouse)
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Applying the Delta method in metric analytics: A practical guide with novel ideas Alex Deng (Microsoft); Ulf Knoblich (Microsoft); Jiannan Lu (Microsoft)
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Where Will Dockless Shared Bikes be Stacked?—- Parking Hotspots Detection in a New City Zhaoyang Liu (Shanghai Jiao Tong University); Yanyan Shen (Shanghai Jiao Tong University); Yanmin Zhu (Shanghai Jiao Tong University)
Applied Data Science Track Papers - Poster
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Visual Search at Alibaba Yanhao Zhang (iDST, Alibaba Group); Pan Pan (iDST, Alibaba Group); Yun Zheng (iDST, Alibaba Group); Kang Zhao (iDST, Alibaba Group); Yingya Zhang (iDST, Alibaba Group); Xiaofeng Ren (iDST, Alibaba Group); Rong Jin (iDST, Alibaba Group)
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Deep Distributed Fusion Network for Air Quality Prediction Xiuwen Yi (Southwest Jiaotong University); Junbo Zhang (Southwest Jiaotong University); Zhaoyuan Wang (Southwest Jiaotong University); Tianrui Li (Southwest Jiaotong University); Yu Zheng (JD Finance)
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Deep Interest Network for Click-Through Rate Prediction Guorui Zhou (Alibaba-inc); Xiaoqiang Zhu (Alibaba-inc); Chengru Song (alibaba-inc); Kun Gai (alibaba-inc); Ying Fan (alibaba-inc); Han Zhu (alibaba); Xiao Ma (alibaba-inc); Yanghui Yan (alibaba-inc); Junqi Jin (alibaba-inc); Han Li (alibaba-inc)
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Learning Tree-based Deep Model for Recommender Systems Han Zhu (Alibaba Group); Xiang Li (Alibaba Group); Pengye Zhang (Alibaba Group); Guozheng Li (Alibaba Group); Jie He (Alibaba Group); Han Li (Alibaba Group); Kun Gai (Alibaba Group)
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An Extensible Event Extraction System With Cross-Media Event Resolution Fabio Petroni (Thomson Reuters); Natraj Raman (Thomson Reuters); Timothy Nugent (Thomson Reuters); Armineh Nourbakhsh (Thomson Reuters); Zarko Panic (Thomson Reuters); Sameena Shah (Thomson Reuters); Jochen L. Leidner (Thomson Reuters)
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Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach Rainer Schlosser (Hasso Plattner Institute); Martin Boissier (Hasso Plattner Institute)
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PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students Mark Silvis (University of Pittsburgh, School of Computer Science); Anthony Sicilia (University of Pittsburgh, School of Computer Science); Alexandros Labrinidis (University of Pittsburgh, School of Computer Science)
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Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning Patrick Koch (SAS Institute Inc.); Oleg Golovidov (SAS Institute Inc.); Steven Gardner (SAS Institute Inc.); Brett Wujek (SAS Institute Inc.); Joshua Griffin (SAS Institute Inc.); Yan Xu (SAS Institute Inc.)
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Improving Box Office Result Predictions for Movies Using Consumer-Centric Models Rui Paulo Ruhrländer, Martin Boissier, Matthias Uflacker
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State space models for forecasting water quality variables: An application in aquaculture prawn farm Joel Dabrowski (CSIRO); Ashfaqur Rahman (CSIRO); Andrew George (CSIRO); Stuart Arnold (CSIRO); John McCulloch (CSIRO)
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Lessons Learned from Developing and Deploying a Large-Scale Employer Name Normalization System for O Qiaoling Liu (CareerBuilder LLC); Josh Chao (CareerBuilder LLC); Thomas Mahoney (CareerBuilder LLC); Chris Min (CareerBuilder LLC); Faizan Javed (CareerBuilder LLC); Alan Chern (Georgia Institute of Technology); Valentin Jijkoun (Textkernel BV)
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Web-Scale Responsive Visual Search at Bing Houdong Hu (Microsoft); Yan Wang (Microsoft); Linjun Yang (Microsoft); Pavel Komlev (Microsoft); Li Huang (Microsoft); Xi Stephen Chen (Microsoft); Jiapei Huang (Microsoft); Ye Wu (Microsoft); Meenaz Merchant (Microsoft); Arun Sacheti (Microsoft)
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Distributed Collaborative Hashing and Its Applications in Ant Financial Chaochao Chen (Ant Financial Group); Ziqi Liu (Ant Financial Group); Peilin Zhao (Ant Financial); Longfei Li (Ant Financial); Jun Zhou (Ant Financial); Xiaolong Li (Ant Financial Group)
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Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application Yujing Hu (Alibaba Group); Qing Da (Alibaba Group); Anxiang Zeng (Alibaba Group); Yang Yu (Nanjing University); Yinghui Xu (Alibaba Group)
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Next-Step Suggestions for Modern Interactive Data Analysis Platforms Amit Somech (Tel Aviv University); Tova Milo (Tel Aviv University)
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COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks Piero Molino (Uber AI Labs); Huaixiu Zheng (Ubet technologies); Yi-Chia Wang (Uber Technologies)
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Device Graphing by Example Keith Funkhouser (comScore); Matthew Malloy (comScore); Enis Ceyhun Alp (Ecole Polytechnique Fédérale de Lausanne); Phillip Poon (comScore); Paul Barford (comScore, University of Wisconsin)
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Multimodal Sentiment Analysis To Explore the Structure of Emotions Anthony Hu (University of Oxford); Seth Flaxman (Imperial College London)
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SDREGION: fast spotting of changing communities in biological networks Serene W.H. Wong (University Health Network); Chiara Pastrello (University Health Network); Max Kotlyar (University Health Network); Christos Faloutsos (Carnegie Mellon University); Igor Jurisica (University of Toronto)
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RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization Ting Ye (Microsoft); Hucheng Zhou (Alibaba); Will Zou (Microsoft); Bin Gao (Microsoft); Ruofei Zhang (Microsoft)
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A real-time framework for detecting efficiency regressions in a globally distributed codebase Martin Valdez-Vivas (Facebook); Caner Gocmen (Facebook); Andrii Korotkov (Facebook); Ethan Fang (Facebook); Kapil Goenka (Facebook); Sherry Chen (Facebook)
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Gotcha - Sly Malware! Scorpion: A Metagraph2vec Based Malware Detection System Yujie Fan (West Virginia University); Shifu Hou (West Virginia University); Yiming Zhang (West Virginia University); Yanfang Ye (West Virginia University); Melih Abdulhayoglu (Comodo Security Solutions, Inc.)
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Career Transitions and Trajectories: A Case Study in Computing Tara Safavi (University of Michigan Ann Arbor); Maryam Davoodi (Purdue University); Danai Koutra (University of Michigan Ann Arbor)
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Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion Tim Op De Beéck, Wannes Meert, Kurt Schütte, Benedicte Vanwanseele, Jesse Davis
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Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention Jingyuan Wang (Beihang University); Xiaojian Wang (Beihang University); Junjie Wu (Beihang University)
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BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data Qingwei Lin (Microsoft); Weichen Ke (Peking University); Jian-Guang Lou (Microsoft); Hongyu Zhang (The University of Newcastle); Kaixin Sui (Microsoft); Yong Xu (Microsoft); Ziyi Zhou (Microsoft); Bo Qiao (Microsoft); Dongmei Zhang (Microsoft)
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Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibi Issei Sato (The University of Tokyo); Yukihiro Nomura (The University of Tokyo); Shouhei Hanaoka (The University of Tokyo); Soichiro Miki (The University of Tokyo); Naoto Hayashi (The University of Tokyo); Osamu Abe (The University of Tokyo); Yoshitaka Masutani (Hiroshima City University)
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Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba Jizhe Wang (Alibaba Group); Pipei Huang (Alibaba Group); Huan Zhao (The Hong Kong University of Science and Technology); Zhibo Zhang (Alibaba Group); Binqiang Zhao (Alibaba Group); Dik Lun Lee (The Hong Kong University of Science and Technology)
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Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform Jinfeng Rao (University of Maryland); Ferhan Ture (Comcast Applied AI Research Lab); Jimmy Lin (University of Waterloo)
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A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loa Xijun Li (Huawei Noah's Ark Lab); Mingxuan Yuan (Huawei Noah's Ark Lab); Di Chen (Huawei Noah's Ark Lab); Jianguo Yao (Shanghai Jiao Tong University); Jia Zeng (Huawei Noah's Ark Lab)
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Predicting Estimated Time of Arrival for Commercial Flights Samet Ayhan (University of Maryland); Pablo Costas (Boeing Research & Technology Europe); Hanan Samet (University of Maryland)
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SQR: Balancing Speed, Quality and Risk in Online Experiments Ya Xu (LinkedIn Corporation); Weitao Duan (LinkedIn Corporation); Shaochen Huang (LinkedIn Corporation)
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Optimal Allocation of Real-Time-Bidding And Direct Campaigns Gre?goire Jauvion (AlephD); Nicolas Grislain (AlephD)
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Tax fraud detection for under-reporting declarations using an unsupervised machine learning approach Daniel de Roux (Universidad de los Andes); Boris P
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Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets Marios Kokkodis (Carroll School of Management, Boston College)
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Assessing Candidate Preference through Web Browsing History Giovanni Comarela (Universidade Federal de Vi
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Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning Xiangyu Zhao (Michigan State University); Liang Zhang (JD.com); Zhuoye Ding (JD.com); Long Xia (Data Science Lab, JD.com); Jiliang Tang (Michigan State University); Dawei Yin (JD.com)
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Product characterisation towards personalisation: Learning attributes from unstructured data to reco Angelo Cardoso (ISR, IST, Universidade de Lisboa); Fabio Daolio (ASOS.com); Sa
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A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators Elaheh Sadredini (University of Virginia); Deyuan Guo (University of Virginia); Chunkun Bo (University of Virginia); Reza Rahimi (University of Virginia); Hongning Wang (University of Virginia); Kevin Skadron (University of Virginia)
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Buy It Again: Modeling Repeat Purchase Recommendations Rahul Bhagat (Amazon.com Inc.); Srevatsan Muralidharan (Amazon.com Inc.); Alex Lobzhanidze (Amazon.com Inc.); Shankar Vishwanath (Amazon.com Inc.)
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Adaptive Paywall Mechanism for Digital News Media Heidar Davoudi (University of York); Aijun An (University of York); Morteza Zihayat (Ryerson University); Gordon Edall (The Globe and Mail)
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Deep Sequence Learning with Auxiliary Information for Traffic Prediction Binbing Liao (Zhejiang University); Jingqing Zhang (Data Science Institute, Imperial College London); Chao Wu (Data Science Institute, Imperial College London); Douglas McIlwraith (Data Science Institute, Imperial College London); Tong Chen (Zhejiang University); Shengwen Yang (Big Data Lab, Baidu Research); Yike Guo (Data Science Institute, Imperial College London); Fei Wu (Zhejiang University)
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Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search Xiao Bai (Yahoo Research); Erik Ordentlich (Yahoo Research); Yuanyuan Zhang (Yahoo Research); Andy Feng (NVIDIA); Adwait Ratnaparkhi (Yahoo Research); Reena Somvanshi (Oath); Aldi Tjahjadi (Oath)
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Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data Xumin Chen (Tsinghua University); Peng Cui (Tsinghua University); Shiqiang Yang (Tsinghua University)
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Pangloss: Fast Entity Linking in Noisy Text Environments Michael Conover (Workday, Inc); Scott Blackburn (Workday, Inc); Matthew Hayes (Workday, Inc); Pete Skomoroch (Workday, Inc); Sam Shah (Workday, Inc)
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Learning to Estimate the Travel Time Zheng Wang (Didi Chuxing); Kun Fu (Didi Chuxing); Jieping Ye (Didi Chuxing)
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Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email Ying Sheng (Google); Sandeep Tata (Google); James B. Wendt (Google); Jing Xie (Google); Qi Zhao (Google); Marc Najork (Google)
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Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction Mengyue Hang (Purdue University); Ian Pytlarz (Purdue University); Jennifer Neville (Purdue University)
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EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection Yaqing Wang (University at Buffalo, SUNY); Fenglong Ma (SUNY Buffalo); Zhiwei Jin (University of Chinese Academy of Sciences); Ye Yuan (Beijing University of Technology); Guangxu Xun (SUNY Buffalo); Kishlay Jha (SUNY Buffalo); Lu Su (The State University of New York at Buffalo); Jing Gao (University at Buffalo)
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Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time Tian Bai (Temple University); Shanshan Zhang (Temple University); Brian Egleston (Fox Chase Cancer Center); Slobodan Vucetic (Temple University)
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Notification Volume Control and Optimization System at Pinterest Bo Zhao (Pinterest); Koichiro Narita (Pinterest); Burkay Orten (Pinterest); John Egan (Pinterest)
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Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions Xulei Yang (Institute for Infocomm Research); Zeng Zeng (Institute for Infocomm Research); Sin Teo (Institute for Infocomm Research); Li Wang (Institute for Infocomm Research); Vijay Chandrasekhar (Institute for Infocomm Research); Steven Hoi (Singapore Management University)
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Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models Mengying Sun (Michigan State University); Fengyi Tang (Michigan State University); Jinfeng Yi (Tencent AI Lab); Fei Wang (Weill Cornell Medical School); Jiayu Zhou (Michigan State University)
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Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das (Georgia Institute of Technology); Madhuri Shanbhogue (Georgia Institute of Technology); Shang-Tse Chen (Georgia Institute of Technology); Fred Hohman (Georgia Institute of Technology); Siwei Li (Georgia Institute of Technology); Li Chen (Intel); Michael E. Kounavis (Intel); Duen Horng Chau (Georgia Institute of Technology)
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Deploying Machine Learning Models for Public Policy: A Framework Klaus Ackermann (Center for Data Science and Public Policy, University of Chicago; Monash University); Joe Walsh (Center for Data Science and Public Policy, University of Chicago); Adolfo De Una?nue (Center for Data Science and Public Policy, University of Chicago); Hareem Naveed (Center for Data Science and Public Policy, University of Chicago); Andrea Navarrete Rivera (Instituto Tecnolo?gico Auto?nomo de Me?xico); Sun-Joo Lee (Center for Data Science and Public Policy University of Chicago); Jason Bennett (Charlotte-Mecklenburg Police Department); Michael Defoe (Charlotte-Mecklenburg Police Department); Crystal Cody (Charlotte-Mecklenburg Police Department); Lauren Haynes (Center for Data Science and Public Policy University of Chicago); Rayid Ghani (Center for Data Science and Public Policy University of Chicago)
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Detection of Paroxysmal Atrial Fibrillation using Attention based Bidirectional Recurrent Neural Net Supreeth Prajwal Shashikumar (Georgia Institute of Technology); Amit Shah (Emory University); Gari Clifford (Emory University); Shamim Nemati (Emory University)
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Active Deep Learning To Tune Down the Noise in Labels Karan Samel (Astound); Xu Miao (Astound)
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Resolving Abstract Anaphora in Conversational Assistants using a Hierarchically-stacked RNN Prerna Khurana (Tata Consultancy Services); Puneet Agarwal (Tata Consultancy Services); Gautam Shroff (Tata Consultancy Services); Lovekesh Vig (Tata Consultancy Services)
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Mobile access record resolution on large-scale identifier-linkage graphs Shen Xin (Zhejiang University); Weizhao Xian (Zhejiang University); Martin Ester (Simon Fraser University); Hongxia Yang (Alibaba Group); Zhongyao Wang (Alibaba Group Holding Ltd); Jiajun Bu (Zhejiang University); Can Wang (Zhejiang University)
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Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio Donatella Firmani (Roma Tre University); Marco Maiorino (Vatican Secret Archives); Paolo Merialdo (Universit
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Deep Reinforcement Learning for Sponsored Search Real-time Bidding Jun Zhao (Alibaba Group); Guang Qiu (Alibaba Group); Ziyu Guan (Xidian University); Wei Zhao (Xidian University); Xiaofei He (Zhejiang University)
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How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary Xi Chen (LinkedIn Corporation); Yiqun Liu (LinkedIn Corporation); Liang Zhang (LinkedIn Corporation); Krishnaram Kenthapadi (LinkedIn Corporation)
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Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Tem Zhuoning Yuan (University of Iowa); Xun Zhou (University of Iowa); Tianbao Yang (University of Iowa)
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Automated Audience Segmentation Using Reputation Signals Maria Daltayanni (USF), Ali Dasdan (KD Consulting), Luca de Alfaro (UCSC)
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Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning Barak Oshri (Stanford University); Annie Hu (Stanford University); Peter Adelson (Stanford University); Xiao Chen (Stanford University); Pascaline Dupas (Stanford University); Jeremy Weinstein (Stanford University); Marshall Burke (Stanford University); David Lobell (Stanford University); Stefano Ermon (Stanford University)
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NGUARD: A Game Bot Detection Framework for NetEase MMORPGs Jianrong Tao (NetEase Fuxi AI Lab); Jiarong Xu (Zhejiang University); Linxia Gong (NetEase Fuxi AI Lab); Yifu Li (NetEase Fuxi AI Lab); Changjie Fan (NetEase Fuxi AI Lab); Zhou Zhao (Zhejiang University)
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Rotation-Blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression Boyo Chen (National Taiwan University); Buofu Chen (National Center of Atmospheric Research); Hsuan-Tien Lin (National Taiwan University)
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Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using A Alex Gittens (Rensselaer Polytechnic Institute); Kai Rothauge (University of California, Berkeley); Shusen Wang (University of California, Berkeley); Michael Mahoney (University of California, Berkeley); Lisa Gerhardt (NERSC/LBNL); Prabhat (NERSC/LBNL); Jey Kottalam (University of California, Berkeley); Michael Ringenburg (Cray Inc.); Kristyn Maschhoff (Cray Inc.)
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MIX: Multi-Channel Information Crossing for Text Matching Haolan Chen (Mobile Internet Group, Tencent); Fred X. Han (University of Alberta); Di Niu (University of Alberta); Dong Liu (Mobile Internet Group, Tencent); Kunfeng Lai (Mobile Internet Group, Tencent); Chenglin Wu (Mobile Internet Group, Tencent); Yu Xu (Mobile Internet Group, Tencent)
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Discovering latent patterns of urban cultural interactions in WeChat for modern city planning Xiao Zhou (University of Cambridge); Anastasios Noulas (Center for Data Science New York University); Cecilia Mascolo (University of Cambridge); Zhongxiang Zhao (Tencent Corporation, Shenzhen, China)
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Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU Harini Suresh (Massachusetts Institute of Technology); Jen Gong (Massachusetts Institute of Technology); John Guttag (Massachusetts Institute of Technology)
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StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network Bilong Shen (Tsinghua University); Xiaodan Liang (Carnegie Mellon University); Yufeng Ouyang (Arizona State University); Miaofeng Liu (University of Science and Technology of China); Weimin Zheng (Tsinghua University); Kathleen Carley (Carnegie Mellon University)
Save the Date
KDD 2018 - London, United Kingdom. 19 - 23 August 2018
The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.