KDD 2016: Papers and Videos

 

 

 

 KDD 2016 is currently going on right now. Here are the papers and video presentation of said papers for the research track. Enjoy !

 

All the videos can be found directly here.

RESEARCH TRACK PAPERS - ORAL

Title & Authors
NetCycle: Collective Evolution Inference in Heterogeneous Information Networks Author(s): Yizhou Zhang*, Fudan University; Xiong Yun, ; Xiangnan Kong, Worcester Polytechnic Institute; Yangyong Zhu, Fudan University
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data Author(s): Payam Siyari*, Georgia Institute of Technology; Bistra Dilkina, Georgia Tech; Constantine Dovrolis, Georgia Institute of Technology
Skinny-dip: Clustering in a Sea of Noise Author(s): Samuel Maurus*, Helmholtz Zentrum München; Claudia Plant
Goal-Directed Inductive Matrix Completion Author(s): Si Si*, Ut austin; Kai-Yang Chiang, UT Austin; Cho-Jui Hsieh, UT Austin; Nikhil Rao, Technicolor Research; Inderjit Dhillon, UTexas
Sampling of Attributed Networks From Hierarchical Generative Models Author(s): Pablo Robles Granda*, Purdue University; Sebastian Moreno, ; Jennifer Neville, Purdue
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity Author(s): Lifang He*, ; CHUN-TA LU, UIC; Jiaqi Ma, Tsinghua University; Jianping Cao, NUDT; Linlin Shen, ; Philip S. Yu, UI Chicago
Privacy-preserving Class Ratio Estimation Author(s): Arun Iyer*, ; Saketh Nath, IIT Bombay; Sunita Sarawagi, IIT Bombay
Structured Doubly Stochastic Matrix for Graph Based Clustering Author(s): Xiaoqian Wang, Univ. of Texas at Arlington; Feiping Nie, University of Texas at Arlington; Heng Huang*, Univ. of Texas at Arlington
Approximate Personalized PageRank on Dynamic Graphs Author(s): Hongyang Zhang*, Stanford University; Peter Lofgren, Stanford University
Assessing Human Error Against a Benchmark of Perfection Author(s): Ashton Anderson*, Stanford University; Jon Kleinberg, Cornell University; Sendhil Mullainathan, Harvard
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning Author(s): Yue Ning*, Virginia Tech; Sathappan Muthiah, Virginia Tech; Huzefa Rangwala, George Mason University; Naren Ramakrishnan, Virginia Tech
Smart Reply: Automated Response Suggestion for Email Author(s): Anjuli Kannan, ; Karol Kurach*, Google; Sujith Ravi, Google; Tobias Kaufmann, Google, Inc.; Andrew Tomkins, ; Balint Miklos, Google, Inc.; Greg Corrado, ; László Lukács, ; Marina Ganea, ; Peter Young, ; Vivek Ramavajjala
Efficient Frequent Directions Algorithm for Sparse Matrices Author(s): Mina Ghashami*, University of utah; Edo Liberty, Yahoo ; Jeff Phillips, School of Computing, University of Utah
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective Author(s): Tong Xu*, USTC; Hengshu Zhu, Baidu Inc.; Xiangyu Zhao, USTC; Hao Zhong, Rutgers University; Qi Liu, University of Science and Technology of China; Enhong Chen, ; Hui Xiong, Rutgers
Robust Extreme Multi-label Learning Author(s): Chang Xu*, Peking University; Dacheng Tao, University of Technology Sydney; Chao Xu, Peking University
The Limits of Popularity-Based Recommendations, and the Role of Social Ties Author(s): Marco Bressan*, Sapienza University of Rome; Stefano Leucci, Sapienza University of Rome; Alessandro Panconesi, Sapienza University of Rome; Prabhakar Raghavan, Google; Erisa Terolli, Sapienza University of Rome
Communication Efficient Distributed Kernel Principal Component Analysis Author(s): Yingyu Liang*, Princeton University; Bo Xie, ; David Woodruff, IBM Research; Le Song, ; Maria-Florina Balcan,
Come-and-Go Patterns of Group Evolution: A Dynamic Model Author(s): Tianyang Zhang*, Tsinghua University; Peng Cui, Tsinghua University; Christos Faloutsos, Carnegie Mellon University; Wenwu Zhu, Tsinghua University; Shiqiang Yang,
Revisiting Random Binning Feature: Fast Convergence and Strong Parallelizability Author(s): Lingfei Wu*, College of William and Mary; En-Hsu Yen, University of Texas at Austin; Jie Chen, IBM Research; Rui Yan, Baidu Inc.
GMove: Group-Level Mobility Modeling using Geo-Tagged Social Media Author(s): Chao Zhang*, UIUC; Keyang Zhang, ; Quan Yuan, University of Illinois Urbana-; Luming Zhang, ; Tim Hanratty, ; Jiawei Han, University of Illinois at Urbana-Champaign
Just One More: Modeling Binge Watching Behavior Author(s): William Trouleau, EPFL; Azin Ashkan*, Technicolor; Weicong Ding, Technicolor Research; Brian Eriksson, Technicolor
Inferring Network Effects from Observational Data Author(s): David Arbour*, University of Massachusetts Am; Dan Garant, University of Massachusetts Amherst; David Jensen, UMass Amherst
Robust Large-Scale Machine Learning in the Cloud Author(s): Steffen Rendle*, Google; Dennis Fetterly, Google, Inc.; Eugene Shekita, Google, Inc.; Bor-Yiing Su, Google, Inc.
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems Author(s): Igor Melnyk*, University of Minnesota; Arindam Banerjee, University of Minnesota; Bryan Matthews, Nasa Ames Research Center; Nikunj Oza, Nasa Ames Research Center
Partial Label Learning via Feature-Aware Disambiguation Author(s): Min-Ling Zhang*, Southeast University; Binbin Zhou, Southeast University; Xu-Ying Liu, Southeast University
A Subsequence Interleaving Model for Sequential Pattern Mining Author(s): Jaroslav Fowkes*, University of Edinburgh; Charles Sutton, University of Edinburgh
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification Author(s): Lei Han*, Rutgers University; Yu Zhang, Hong Kong University of Science and Technology; Xiu-Feng Wan, Mississippi State University; Tong Zhang, Rutgers University
XGBoost: A Scalable Tree Boosting System Author(s): Tianqi Chen*, University of washington; Carlos Guestrin, Dato/Univ of Washington
FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks Author(s): Chen Chen*, Arizona State Unversity; Hanghang Tong, Arizona State University; Lei Xie, City University of New York; Lei YIng, Arizona State University; Qing He, Arizona State University
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs Author(s): Emaad Manzoor, Stony Brook University; Leman Akoglu*, SUNY Stony Brook
Structural Neighborhood based Classification of Nodes in a Network Author(s): Sharad Nandanwar*, Indian Institute of Science; Musti Narasimha Murty, Indian Institute of Science
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams Author(s): Hesam Amoualian*, University Grenoble Alps; Marianne Clausel, University of Grenoble Alps; Eric Gaussier, University of Grenoble Alps; Massih-Reza Amini, University of Grenoble Alps
Continuous Experience-aware Language Model Author(s): Subhabrata Mukherjee*, Max Planck Informatics; Stephan Günnemann, Technical University of Munich; Gerhard Weikum, Max Planck Institute for Informatics
Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilari Author(s): Ting Kai Ming*, Federation University; YE ZHU, Monash University; Mark Carman, Monash University; Yue Zhu, Nanjing University
“Why Should I Trust you?” Explaining the Predictions of Any Classifier Author(s): Marco Tulio Ribeiro*, University of Washington; Sameer Singh, """University of Washington, Seattle"""; Carlos Guestrin, Dato/Univ of Washington
Graph Wavelets via Sparse Cuts Author(s): Arlei Lopes da Silva*, UC, Santa Barbara; Xuan-Hong Dang, UCSB; Prithwish Basu, Raytheon BBN; Ambuj Singh, UCSB; Ananthram Swami, Army Lab
Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization Author(s): Junming Liu, Rutgers University; Leilei Sun, ; Hui Xiong*, Rutgers; Weiwei Chen,
A multiple test correction for streams and cascades of statistical hypothesis tests Author(s): Geoff Webb*, Monash University; Francois Petitjean, Monash
Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detectio Author(s): Hao Hu, University of Central Florida; Joey Velez-Ginorio, University of Central Florida; Guojun Qi*, University of Central Florida
Unified Point-of-Interest Recommendation with Temporal Interval Assessment Author(s): Yanchi Liu*, Rutgers University; Chuanren Liu, Drexel University; Bin Liu, Rutgers University; Meng Qu, Rutgers University; Hui Xiong, Rutgers
Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches Author(s): Daniel Ting*, Facebook
TRIEST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size Author(s): Lorenzo De Stefani*, Brown University; Alessandro Epasto, Brown; Matteo Riondato, Two Sigma Investments; Eli Upfal, Brown University
ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages Author(s): Matteo Riondato*, Two Sigma Investments; Eli Upfal, Brown University
Annealed Sparsity via Adaptive and Dynamic Shrinking Author(s): Kai Zhang*, NEC labs America; Shandian Shan, Purdue University; Zhengzhang Chen, NEC Lab America; Chaoran Cheng, New Jersey Institute of Technology; Zhi Wei, New Jersey Institute of Technology; Guofei Jiang, NEC labs America; Jieping Ye,
QUINT: On Query-Specific Optimal Networks Author(s): Liangyue Li*, Arizona State University; Yuan Yao, Nanjing University; Jie Tang, Tsinghua University; Wei Fan, Baidu; Hanghang Tong, Arizona State University
Point-of-Interest Recommendations: Learning Potential Check-ins from Friends Author(s): Yong Ge, UNC Charlotte; Huayu Li*, University of North Carolina a; Hengshu Zhu, Baidu Inc.
FINAL: Fast Attributed Network Alignment Author(s): Si Zhang*, Arizona State University; Hanghang Tong, Arizona State University
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations Author(s): Wei Cheng*, NEC Labs America; Kai Zhang, NEC labs America; Haifeng Chen, NEC Research Lab; Guofei Jiang, NEC labs America; Wei Wang, UC Los Angeles
Predicting Matchups and Preferences in Context Author(s): Shuo Chen*, Cornell; Thorsten Joachims, Cornell University
Accelerating Online CP Decompositions for Higher Order Tensors Author(s): Shuo Zhou*, University of melbourne; Nguyen Vinh, University of Melbourne; James Bailey, ; Yunzhe Jia, University of Melbourne; Ian Davidson, University of California-Davis
Compact and Scalable Graph Neighborhood Sketching Author(s): Takuya Akiba*, NII; Yosuke Yano, National Institute of Informatics
Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns Author(s): Roel Bertens*, Universiteit Utrecht; Jilles Vreeken, Max-Planck Institute for Informatics and Saarland University; Arno Siebes,
Robust Influence Maximization Author(s): Xinran He*, University of Southern California; David Kempe, University of Southern California
DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Author(s): Shuangfei Zhai*, Binghamton University; Keng-hao Chang, Microsoft; Ruofei Zhang, Microsoft; Zhongfei Zhang,
When Social Influence Meets Item Inference Author(s): Hui-Ju Hung, Pennsylvania State University; Hong-Han Shuai, Academia Sinica; De-Nian Yang*, Academic Sinica; Liang-Hao Huang, Academia Sinica; Wang-Chien Lee, The Pennsylvania State University; Jian Pei, Simon Fraser University; Ming-Syan Chen, National Taiwan University
PTE: Enumerating Trillion Triangles On Distributed Systems Author(s): Ha-Myung Park*, KAIST; Sung-Hyon Myaeng, KAIST; U Kang, Seoul National University
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applic Author(s): Himanshu Jain*, IIT Delhi; Yashoteja Prabhu, ; Manik Varma,
Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences Author(s): Yasuko Matsubara*, Kumamoto University; Yasushi Sakurai, Kumamoto University
node2vec: Scalable Feature Learning for Networks Author(s): Aditya Grover*, Stanford University; Jure Leskovec, Stanford University
Structural Deep Network Embedding Author(s): DAIXIN WANG*, TSINGHUA UNIVERSITY; Peng Cui, Tsinghua University; Wenwu Zhu, Tsinghua University
Mining Subgroups with Exceptional Transition Behavior Author(s): Florian Lemmerich*, Gesis; Martin Becker, University of Würzburg; Philipp Singer, Gesis; Denis Helic, TU Graz; Andreas Hotho, University of Wuerzburg; Markus Strohmaier,
Asymmetric Transitivity Preserving Graph Embedding Author(s): Mingdong Ou*, Tsinghua University; Peng Cui, Tsinghua University; Jian Pei, Simon Fraser University; Wenwu Zhu, Tsinghua University
AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets Author(s): Son Mai*, Aarhus University; Ira Assent, ; Martin Storgaard, Aarhus University
CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors Author(s): Meng Jiang*, UIUC; Christos Faloutsos, Carnegie Mellon University; Jiawei Han, University of Illinois at Urbana-Champaign
Dynamic Clustering of Streaming Short Documents Author(s): Shangsong Liang*, University College London; Emine Yilmaz, University College London; Evangelos Kanoulas, University of Amsterdam
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage Author(s): Bryan Hooi*, Carnegie Mellon University; Hyun Ah Song, Carnegie Mellon University; Alex Beutel, Carnegie Mellon University; Neil Shah, Carnegie Mellon University; Kijung Shin, Carnegie Mellon University; Christos Faloutsos, Carnegie Mellon University
Towards Conversational Recommender Systems Author(s): Konstantina Christakopoulou*, University of Minnesota; Katja Hofmann, Microsoft; Filip Radlinski, Microsoft
Robust Influence Maximization Author(s): Wei Chen, Microsoft Research; Tian Lin*, Tsinghua University; Zihan Tan, IIIS, Tsinghua University; Mingfei Zhao, IIIS, Tsinghua University; Xuren Zhou, The Hong Kong University of Science and Technology
Positive-Unlabeled Learning in Streaming Networks Author(s): Shiyu Chang*, UIUC; Yang Zhang, UIUC; Jiliang Tang, Yahoo Labs; Dawei Yin, ; Yi Chang, Yahoo! Labs; Mark Hasegawa-Johnson, UIUC; Thomas Huang, UIUC
Targeted Topic Modeling for Focused Analysis Author(s): Shuai Wang*, University of Illinois at Chicago; Zhiyuan Chen, UIC; Geli Fei, Univ of Illinois at Chicago; Bing Liu, Univ of Illinois at Chicago; Sherry Emery, University of Illinois at Chicago

RESEARCH TRACK PAPERS - POSTER

Title & Authors
Online Feature Selection: A Limited-Memory Substitution Algorithm and its Asynchronous Parallel Vari Author(s): Haichuan Yang*, University of Rochester; Ryohei Fujimaki, NEC Laboratories America; Yukitaka Kusumura, NEC lab; Ji Liu, University of Rochester
Topic Modeling of Short Texts: A Pseudo-Document View Author(s): Yuan Zuo*, Beihang University; Junjie Wu, ; Has Lin, ; Hui Xiong, Rutgers
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Desi Author(s): Igor Labutov*, Cornell University
Online Context-Aware Recommendation with Time Varying Multi-Arm Bandit Author(s): Chunqiu Zeng*, Florida International University; Qing Wang, Florida International Univ.; Tao Li, Florida International Univ; Shekoofeh Mokhtari, Florida International University
Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising Author(s): Miguel Angel Alcobendas Lisbona*, Yahoo Inc; Kuang-chih Lee, Yahoo; Sheide Chammas, Yahoo
Improving Survey Aggregation with Sparsely Represented Signals Author(s): Tianlin Shi, Stanford University; Forest Agostinelli*, Univ of California - Irvine; Matthew Staib, MIT; David Wipf, Microsoft Research; Thomas Moscibroda, Microsoft Research
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector Author(s): NAN DU*, GEORGIA TECH; Hanjun Dai, ; Rakshit Trivedi, ; Utkarsh Upadhyay, Max Plank Institute; Manuel Gomez-Rodriguez, MPI-SWS; Le Song,
Interpretable Decision Sets: A Joint Framework for Description and Prediction Author(s): Himabindu Lakkaraju*, Stanford University; Stephen Bach, Stanford University; Jure Leskovec, Stanford University
How to Compete Online for News Audience: Modeling Words that Attract Clicks Author(s): Joon Hee Kim*, KAIST; Amin Mantrach, Yahoo! Research; Alex Jaimes, Yahoo!; Alice Oh, Korea Advanced Institute of Science and Technology
Towards Robust and Versatile Causal Discovery for Business Applications Author(s): Giorgos Borboudakis*, University of Crete; Ioannis Tsamardinos,
A Closed-Loop Approach in Data-Driven Resource Allocation to Improve Network User Experience Author(s): Yanan Bao*, University of California, Davi; Huasen Wu, UC Davis; Xin Liu, UC Davis
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression Author(s): Zhi Nie*, Arizona State University; Pinghua Gong, ; Jieping Ye, University of Michigan at Ann Arbor
Scalable Betweenness Centrality Maximization via Sampling Author(s): Ahmad Mahmoody*, Brown University; Eli Upfal, Brown University; Charalampos Tsourakakis, Harvard
Smart broadcasting: Do you want to be seen? Author(s): Erfan Tavakoli, Sharif University; Mohammad Reza Karimi, Sharif University; Mehrdad Farajtabar, Georgia Tech; Le Song, ; Manuel Gomez-Rodriguez*, MPI-SWS
Squish: Near-Optimal Compression for Archival of Relational Datasets Author(s): Yihan Gao*, University of Illinois; Aditya Parameswaran,
Data-driven Automatic Treatment Regimen Development and Recommendation Author(s): Leilei Sun*, Dalian University of Technolog; Chuanren Liu, Drexel University; Chonghui Guo, ; Hui Xiong, Rutgers; Yanming Xie,
Reconstructing an Epidemic over Time Author(s): Polina Rozenshtein, Aalto University; Aristides Gionis*, Aalto University; B. Aditya Prakash, Virginia Tech; Jilles Vreeken, Max-Planck Institute for Informatics and Saarland University
Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices Author(s): Yasuo Tabei*, JST; Hiroto Saigo, Kyushu Institute of Technology; Yoshihiro Yamanishi, Kyushu University; Simon Puglisi, Helsinki University
The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation Author(s): BEIDOU WANG*, Simon Fraser University; Martin Ester, Simon Fraser University; Yikang Liao, Zhejiang University; Jiajun Bu, Zhejiang University; Yu Zhu, Zhejiang University; Deng Cai, ; Ziyu Guan,
Compressing Graphs and Indexes with Recursive Graph Bisection Author(s): Laxman Dhulipala, Carnegie Mellon University; Igor Kabiljo, Facebook; Brian Karrer, Facebook; Giuseppe Ottaviano, Facebook; Sergey Pupyrev*, Facebook; Alon Shalita, Facebook
Portfolio Selections in P2P Lending: A Multi-Objective Perspective Author(s): Hongke Zhao*, USTC; Guifeng Wang, USTC; Yong Ge, UNC Charlotte; Qi Liu, University of Science and Technology of China; Enhong Chen,
Latent Space Model for Road Networks to Predict Time-Varying Traffic Author(s): Dingxiong Deng*, USC; Cyrus Shahabi, USC; Ugur Demiryurek, ; Linhong Zhu, ; Rose Yu, University of Southern Cal; Yan Liu,
Parallel Lasso Screening for Big Data Optimization Author(s): Qingyang Li*, Arizona State University; Shuang Qiu, Umich; Shuiwang Ji, Washington State University; Jieping Ye, University of Michigan at Ann Arbor; Jie Wang, University of Michigan
Lossless Separation of Web Pages into Layout Code and Data Author(s): Adi Omari*, Technion; Benny Kimelfeld, Technion; Sharon Shoham, Academic College of Tel Aviv Yaffo; Eran Yahav, Technion
A Multi-Task Learning Formulation for Survival Analysis Author(s): Yan Li*, Wayne State University; Jie Wang, University of Michigan; Jieping Ye, University of Michigan at Ann Arbor; Chandan Reddy, Wayne State University
Scalable Pattern Matching over Compressed Graphs via Dedensification Author(s): Antonio Maccioni*, Roma Tre University; Daniel Abadi, Yale University
Finding Gangs in War from Signed Networks Author(s): Lingyang Chu*, Simon Fraser University; Zhefeng Wang, University of Science and Technology of China; Jian Pei, Simon Fraser University; Jiannan Wang, Simon Fraser University; Zijin Zhao, Simon Fraser University; Enhong Chen,
Online Asymmetric Active Learning with Imbalanced Data Author(s): Xiaoxuan Zhang*, University of Iowa; Tianbao Yang, Univ of Iowa; Padmini Srinivasan, University of Iowa
Robust and Effective Metric Learning Using Capped Trace Norm Author(s): Zhouyuan Huo, University of Texas, Arlington; Feiping Nie, University of Texas at Arlington; Heng Huang*, Univ. of Texas at Arlington
Burstiness Scale: a highly parsimonious model forcharacterizing random series of events Author(s): Rodrigo Alves*, CEFET-MG; Renato Assunção, DCC-UFMG; Pedro O.S. Vaz de Melo, DCC-UFMG
Fast Component Pursuit for Large-Scale Inverse Covariance Estimation Author(s): Lei Han*, Rutgers University; Yu Zhang, Hong Kong University of Science and Technology; Tong Zhang, Rutgers University
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition Author(s): Siddharth Reddy*, Cornell University; Igor Labutov, Cornell University; Siddhartha Banerjee, Cornell University; Thorsten Joachims, Cornell University
User Identity Linkage by Latent User Space Modelling Author(s): Xin Mu*, Nanjing University; Feida Zhu, Singapore Management Univ.; Zhi-Hua Zhou, ; Ee-Peng Lim, Singapore Management University; Jing Xiao, ; Jianzong Wang,
Diversified Temporal Subgraph Pattern Mining Author(s): Yi Yang, Fudan University; Da Yan, CUHK; Huanhuan Wu, CUHK; James Cheng*, CUHK; Shuigeng Zhou, Fudan University; John C.S. Lui, The Chinese University of Hong Kong
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting Author(s): Liang Zhao*, VT; Jieping Ye, University of Michigan at Ann Arbor; Feng Chen, SUNY Albany; Chang-Tien Lu, Virginia Tech; Naren Ramakrishnan, Virginia Tech
MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Author(s): Prithu Banerjee*, UBC; Pranali Yawalkar, IIT Madras; Sayan Ranu, IIT Madras
FUSE: Full Spectral Clustering Author(s): Wei Ye*, University of Munich; Sebastian Goebl, University of Munich; Claudia Plant, ; Christian Boehm, University of Munich
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining Author(s): Kazuya Nakagawa, Nagoya Institute of Technology; Shinya Suzumura, Nagoya Institute of Technology; Masayuki Karasuyama, ; Koji Tsuda, University of Tokyo; Ichiro Takeuchi*, Nagoya Institute of Technology Japan
Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics Author(s): Hao Wu, Fudan University; Jiangyun Mao, Fudan University; Weiwei Sun*, Fudan University; Baihua Zheng, Singapore Management University; Hanyuan Zhang, Fudan University; Ziyang Chen, Fudan University; Wei Wang, Fudan University
A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm Author(s): Yanni Li, Xidian University; Hui Li*, Xidian University; Tihua Duan, Shanghai Finance University; Sheng Wang, Coventry University; Zhi Wang, Xidian University; Yang Cheng, Xidian University
A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization Author(s): Jianhua Yin*, Tsinghua University; Jianyong Wang,
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations Author(s): Bo Kang*, Ghent University; Jefrey Lijffijt, Ghent University; Raul Santos-Rodriguez, University of Bristol; Tijl De Bie, Ghen University
Compressing Convolutional Neural Networks in the Frequency Domain Author(s): Wenlin Chen*, Washington University; James Wilson, University of Edinburgh; Stephen Tyree, NVIDIA; Kilian Weinberger, Cornell; Yixin Chen,
Causal Clustering for 1-Factor Measurement Models Author(s): Erich Kummerfeld*, University of Pittsburgh; Joseph Ramsey, Carnegie Mellon University
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Ap Author(s): Mengting Wan*, UC San Diego; Xiangyu Chen, University of Illinois, Urbana-Champaign; Lance Kaplan, U.S. Army Research Laboratory; Jiawei Han, University of Illinois at Urbana-Champaign; Jing Gao, ; Bo Zhao, LinkedIn
Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test Author(s): Denis Dos Reis*, Universidade de São Paulo; Gustavo Batista, Universidade de Sao Paulo at Sao Carlos; Peter Flach, University of Bristol; Stan Matwin, Dalhousie University
Learning Cumulatively to Become More Knowledgeable Author(s): Geli Fei*, Univ of Illinois at Chicago; Shuai Wang, Univ of Illinois at Chicago; Bing Liu, Univ of Illinois at Chicago
Multi-Task Feature Interaction Learning Author(s): KAIXIANG LIN*, Michigan State University; Jianpeng Xu, Michigan State University; Shuiwang Ji, Washington State University; Jiayu Zhou, Michigan State University
City-Scale Map Creation and Updating using GPS Collections Author(s): Chen Chen*, Stanford University; Cewu Lu, Stanford University; Qixing Huang, Stanford University; Dimitrios Gunopulos, ; Leonidas Guibas, Stanford University; Qiang Yang, HKUST
Stochastic Optimization Techniques for Quantification Performance Measures Author(s): Harikrishna Narasimhan, IACS, Harvard University; Shuai Li, University of Insubria; Purushottam Kar*, IIT Kanpur; Sanjay Chawla, QCRI-HBKU, Qatar; Fabrizio Sebastiani, QCRI-HBKU, Qatar
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach Author(s): Houping Xiao*, SUNY Buffalo; Jing Gao, ; Qi Li, SUNY Buffalo; Fenglong Ma, SUNY Buffalo; Lu Su, SUNY Buffalo; Yunlong Feng, KU Leuven; Aidong Zhang,
Transfer Knowledge between Cities Author(s): Ying Wei*, Hong Kong Univ. of Sci. & Tech; Yu Zheng, Microsoft Research; Qiang Yang, HKUST
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines Author(s): Yuyu Zhang*, Georgia Institute of Technolog; Mohammad Bahadori, Georgia Institute of Technology; Hang Su, Georgia Institute of Technology; Jimeng Sun, Georgia Institute of Technology
Effcient Processing of Network Proximity Queries via Chebyshev Acceleration Author(s): Mustafa Coskun*, Case Western University; Ananth Grama, ; Mehmet Koyuturk,
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies Author(s): Tao Yang*, Arizona State University; Jun Liu, SAS Institute Inc.; Pinghua Gong, University of Michigan; Ruiwen Zhang, SAS Institute Inc.; Xiaotong Shen, University of Minnesota; Jieping Ye, University of Michigan at Ann Arbor
Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environm Author(s): Wei-Lin Chiang, National Taiwan University; Mu-Chu Lee, National Taiwan University; Chih-Jen Lin*, National Taiwan University
Beyond Sigmoids: the NetTide Model for Social Network Growth, and its Applications Author(s): Chengxi Zang*, Tsinghua University; Peng Cui, Tsinghua University; Christos Faloutsos, Carnegie Mellon University
Efficient Shift-Invariant Dictionary Learning Author(s): Guoqing Zheng*, Carnegie Mellon University; Yiming Yang, ; Jaime Carbonell,
Multi-layer Representation Learning for Medical Concepts Author(s): Edward Choi*, Georgia Institute of Technolog; Mohammad Bahadori, Georgia Institute of Technology; Jimeng Sun, Georgia Institute of Technology
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding Author(s): Xiang Ren*, UIUC; Wenqi He, UIUC; Meng Qu, UIUC; Heng Ji, PRI; Clare Voss, ARL; Jiawei Han, University of Illinois at Urbana-Champaign
Distributing the Stochastic Gradient Sampler for Large-Scale LDA Author(s): Yuan Yang*, Beihang University; Jianfei Chen, Tsinghua University; Jun Zhu,
Lightweight Monitoring of Distributed Streams Author(s): Daniel Keren*, University of Haifa; Assaf Schuster, Technion; Arnon Lazerson, Israeli Institute of technology
Accelerated Stochastic Block Coordinate Descent with Optimal Sampling Author(s): Aston Zhang*, UIUC; Quanquan Gu, University of Virginia
Convex Optimization for Linear Query Processing under Approximate Differential Privacy Author(s): Ganzhao Yuan*, SCUT; Yin Yang, ; Zhenjie Zhang, ; Zhifeng Hao,
Predicting Socio-Economic Indicators using News Events Author(s): Sunandan Chakraborty*, NYU; Ashwin Venkataraman, New York University; Srikanth Jagabathula, New York University; Lakshminarayanan Subramanian, New York University
A Truth Discovery Approach with Theoretical Guarantee Author(s): Houping Xiao*, SUNY Buffalo; Jing Gao, ; Zhaoran Wang, Princeton University; Shiyu Wang, UIUC; Lu Su, SUNY Buffalo; Han Liu, Princeton University
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Author(s): Zhipeng Huang*, University of Hong Kong; Yudian Zheng, The University of Hong Kong; Reynold Cheng, ; Yizhou Sun, Northeastern Univ; Nikos Mamoulis, ; Xiang Li, The University of Hong Kong
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Author(s): Yu Shi*, UIUC; Myunghwan Kim, LinkedIn Corporation; Shaunak Chatterjee, LinkedIn Corporation; Mitul Tiwari, LinkedIn Corporation; Souvik Ghosh, LinkedIn; Romer Rosales, LinkedIn
Infinite Ensemble for Image Clustering Author(s): Hongfu Liu*, Northeastern University; Ming Shao, Northeastern University; Sheng Li, Northeastern University; Yun Fu, Northeastern University
Deep Visual-Semantic Hashing for Cross-Modal Retrieval Author(s): Yue Cao, Tsinghua university; Mingsheng Long*, Tsinghua University; Jianmin Wang, Tsinghua University; Qiang Yang, HKUST; Philip Yu, UIC
Collaborative Multi-View Denoising Author(s): Lei Zhang, Institute of Information Engin; Shupeng Wang, Iie; Xiao-Yu Zhang, IIE, CAS; Yong Wang, IIE,CAS; BinBin Li, Iie; Dinggang Shen, ; Shuiwang Ji*, Washington State University
Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stocko Author(s): Ben Letham*, Facebook; Lydia Letham, MIT; Cynthia Rudin, MIT

 
 
 
 

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