Research-track Poster Papers
• 9 Where, When and What: Discover Spatio-Temporal Topics for Twitter Users
Quan Yuan, Nanyang Technological Univ.; Gao Cong, Nanyang Technological University; Zongyang Ma, Nanyang Technological University; Aixin Sun, Nanyang Technological University; Nadia Thalmann, Nanyang Technological University
• 10 Multi-Label Classification by Mining Label and Instance Correlations from Heterogeneous Information Networks
Xiangnan Kong, Univ. of Illinois at Chicago; Bokai Cao, Renmin University of China; Philip Yu, University of Illinois
• 40 Accurate Intelligible Models with Pairwise Interactions
Yin Lou, Cornell University; Rich Caruana, Microsoft Research; Johannes Gehrke, Cornell University; Giles Hooker, Cornell University
• 41 Spotting Opinion Spammers using Behavioral Footprints
ARJUN MUKHERJEE, UIC; Abhinav Kumar, ; Bing Liu, ; Junhui Wang, ; meichun Hsu, ; Malu Castellanos, ; riddhiman Ghosh,
• 132 An Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation Regularization Problems
Sen Yang, Arizona State University; Jie Wang, Arizona State University; Wei Fan, IBM Research; Xiatian Zhang, Huawei Technologies Co., Ltd; Peter Wonka, Arizona State University; Jieping Ye, Arizona State University
• 137 Speeding up Large-Scale Learning with a Social Prior
Deepayan Chakrabarti, Facebook; Ralf Herbrich,
• 146 FISM: Factored Item Similarity Models for Top-N Recommender Systems
Santosh Kabbur, University of Minnesota; George Karypis, University of Minnesota
• 165 Nonparametric Hierarchal Bayesian Modeling in Non-contractual Heterogeneous Survival Data
Shouichi Nagano, NTT; Yusuke Ichikawa, NTT; Noriko Takaya, NTT; Tadasu Uchiyama, NTT; Makoto Abe, Tokyo University
• 179 Cross-Task Crowdsourcing
Kaixiang Mo, HKUST; Erheng Zhong, HKUST; Qiang Yang, Hong Kong University of Science and Technology
• 194 Evaluating the Crowd with Confidence
Manas Joglekar, Stanford University; Hector Garcia-Molina, Stanford University; Aditya Parameswaran, Stanford University
• 200 Inferring Social Roles and Statuses in Social Networks
Yuchen Zhao, UIC; Guan Wang, Univ. of Illinois at Chicago; Philip Yu, University of Illinois; Shaobo Liu, Linkedin; Simon Zhang, Linkedin
• 211 Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models
Siyuan Liu, CMU; Yisong Yue, Carnegie Mellon University; Ramayya Krishnan, Carnegie Mellon University
• 235 Maximizing Acceptance Probability for Active Friending in On-Line Social Networks
De-Nian Yang, Academia Sinica; Hui-Ju Hung, Academia Sinica; Wang-Chien Lee, ; Wei Chen, Microsoft Research
• 250 Mining Evolutionary Multi-Branch Trees from Text Streams
Xiting Wang, Tsinghua University; Yangqiu Song, HKUST; Shixia Liu, Microsoft Research; Baining Guo, Microsoft Research Asai
• 261 Active Search on Graphs
Xuezhi Wang, Carnegie Mellon University; Jeff Schneider, ; Roman Garnett,
• 269 Fast Rank-2 Nonnegative Matrix Factorization for Hierarchical Document Clustering
Da Kuang, Georgia Institute of Technology; Haesun Park, Georgia Institute of Technology
• 294 Probabilistic Path Prediction in Dynamic Environments
Jingbo Zhou, NUS; Anthony TUNG , SoC,NUS; Wei Wu, I2R, Astar; Wee Siong Ng, I2R, Astar
• 301 Optimizing Parallel Belief Propagation in Junction Trees: Using Regression
Lu Zheng, Carnegie Mellon University; Ole Mengshoel, Carnegie Mellon University
• 324 Multi-Source Deep Learning for Information Trustworthiness Estimation
Liang Ge, University at Buffalo; Jing Gao, Univ. of Buffalo; Xiaoyi Li, The State University of New York; Aidong Zhang, University at Buffalo
• 345 Unsupervised Link Prediction Using Aggregative Statistics on Heterogeneous Social Networks
Tsung-Ting Kuo, National Taiwan University; Rui Yan, Peking University; Yu-Yang Huang, National Taiwan University; Perng-Hwa Kung, National Taiwan University; Shou-De Lin, National Taiwan University
• 347 Link Prediction with Social Vector Clocks
Conrad Lee, University College Dublin; Bobo Nick, Konstanz UniversitŠt; Ulrik Brandes, Konstanz UniversitŠt; P‡draig Cunningham, University College Dublin
• 355 Geo-Spotting: Mining Online Location-based Services for Optimal Retail Store Placement
Dmytro Karamshuk, University of Cambridge; Anastasios Noulas, University of Cambridge; Salvatore Scellato, University of Cambridge; Vincenzo Nicosia, University of Cambridge; Cecilia Mascolo, University of Cambridge
• 388 Location-Aware Publish/Subscribe
Guoliang Li, Tsinghua Univeristy
• 408 Quadratic Optimization to Identify Highly Heritable Quantitative Traits from Complex Disease Features
Jiangwen Sun, University of Connecticut; Jinbo Bi, University of Connecticut; Henry Kranzler, University of Pennsylvania
• 409 Repetition-Aware Content Placement in Navigational Networks
Dora Erdos, Boston University; Vatche Ishakian, Boston University; Evimaria Terzi, Boston University; Azer Bestavros, Boston University
• 427 Metric All-Pairs Similarity Search on MapReduce
Ye Wang, OSU; Ahmed Metwally, Google Inc.; Srinivasan Parthasarathy, The Ohio State University
• 454 Massively Parallel Expectation Maximization Using Graphics Processing Units
Muzaffer Can Altinigneli, University of Munich; Claudia Plant, Helmholtz Center Munich; Christian Bšhm, University of Munich
• 478 Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms
Chris Thornton, UBC; Frank Hutter, UBC; Holger Hoos, UBC; Kevin Leyton-Brown, UBC
• 479 Direct Optimization of Ranking Measures for Learning to Rank Models
Ming Tan, Wright State University; Tian Xia, Wright State University; Lily Guo, Wright State University; Shaojun Wang, Wright State University
• 510 Multi-space Probabilistic Sequence Modeling
Shuo Chen, Dept. of Computer Science, Cornell University; Jiexun Xu, Dept. of Computer Science, Cornell University; Thorsten Joachims, Cornell
• 516 Towards Never-Ending Learning from Time Series Streams
Yuan Hao, Univ of California, Riverside; Yanping Chen, UCR; Jesin Zakaria, ; Bing Hu, ; Thanawin Rakthanmanon, ; Eamonn Keogh, University of California – Riverside
• 526 Constrained Stochastic Gradient Descent for Large-scale Least Squares Problem
Yang Mu, UMass Boston; Wei Ding, University of Massachusetts Boston; Tianyi Zhou, University of Technology Sydney; Dacheng Tao, University of Technology Sydney
• 550 Making Recommendations from Multiple Domains
Wei Chen, National University of Singapore; Wynne Hsu, National University of Singapore; Mong-Li Lee, National University of Singapore
• 554 Cascading Outbreak Prediction in Networks: A Data-Driven Approach
Shifei JIN, Tsinghua University; Peng Cui, Tsinghua University; Linyun Yu, Tsinghua University; Fei Wang, IBM T. J. Watson Research Lab; Shiqiang Yang, Tsinghua University
• 589 Combining Latent Factor Model with Location Features for Event-based Group Recommendation
Wei Zhang, Department of Computer Science; Jianyong Wang, Tsinghua University
• 596 Cost-Sensitive Online Active Learning with Application to Malicious URL Detection
Peilin ZHAO, Nanyang Technological University; Steven Hoi, Nanyang Technological University, Singapore.
• 618 The Bang for the Buck: Fair Competitive Viral Marketing from the Host Perspective
Wei Lu, University of British Columbia; Francesco Bonchi, Yahoo! Research; Amit Goyal, University of British Columbia; Laks V.S. Lakshmanan,
• 629 Modeling the Dynamics of Composite Social Networks
Erheng Zhong, HKUST; Wei Fan, IBM Research; Yin Zhu, ; Qiang Yang, Hong Kong University of Science and Technology
• 685 Time-Dependent Loss Enhanced SVM for Time Series Regression
Goce Ristanoski, The University of Melbourne; Wei Liu, The University of Melbourne; James Bailey, The University of Melbourne
• 688 A New Collaborative Filtering Approach for Increasing the Aggregate Diversity of Recommender Systems
Katja Niemann, Fraunhofer FIT; Martin Wolpers, Fraunhofer Institute for Applied Information Technology
• 720 Scalable Inference in Max-margin Supervised Topic Models
Jun Zhu, Tsinghua University; Xun Zheng, Beihang University; Li Zhou, Tsinghua University; Zhang Bo, Tsinghua University
• 724 A Data-driven Method for In-game Decision Making in MLB
Gartheeban Ganeshapillai, Massachusetts Institute of Tec; John Guttag, Massachusetts Institute of Technology
• 743 Exploiting User Clicks for Automatic Seed Set Generation for Entity Matching
Xiao Bai, Yahoo! Research Barcelona; Srinivasan Sengamedu, Komli Labs; Flavio Junqueira, Microsoft Research
• 748 Silence is also evidence: Interpreting dwell time for recommendation from Psychological Perspective
Peifeng Yin, Pennsylvania State University; Ping Luo, HP Lab; Wang-Chien Lee, ; Min Wang, Google Research
• 761 Efficient Single-Source Shortest Path and Distance Queries on Large Graphs
Xiaokui Xiao, Nanyang Technological University ; Andy Diwen Zhu, Nanyang Technological University; Sibo Wang, Nanyang Technological University; Wenqing Lin, Nanyang Technological University
• 765 On Community Detection in Real-World Networks and the Importance of Degree Assortativity
Marek Ciglan, IISAS; Kjetil N¿rvŒg, NTNU; Michal Laclav’k, IISAS
• 795 Trial and Error in Influential Social Networks
Xiaohui Bei, Nanyang Technological University; Ning Chen, Nanyang Technological Univ; Liyu Dou, Nanyang Technological University; Xiangru Huang, Shanghai Jiao Tong University; Ruixin Qiang, Shanghai Jiao Tong University
• 797 Collaborative Matrix Factorization with Multiple Similarities for Predictin Drug-Target Interactions
Xiaodong Zheng, Fudan University; Hao Ding, Fudan University; Hiroshi Mamitsuka, Kyoto University; Shanfeng Zhu, Fudan University
• 801 FeaFiner: Biomarker Identification from Medical Data through Feature Generalization and Selection
Jiayu Zhou, Arizona State University; Zhaosong Lu, Simon Fraser University; Jimeng Sun, IBM Research ; Lei Yuan, Arizona State University; Fei Wang, IBM T. J. Watson Research Lab; Jieping Ye, Arizona State University
• 854 Learning Geographical Preferences for Point-of-Interest Recommendation
Bin Liu, Rutgers Univ; Yanjie Fu, Rutgers University; ZIjun Yao, Rutgers Univ; Hui Xiong, Rutgers, the State University of New Jersey
• 884 Learning Mixed Kronecker Product Graph Models with Simulated Method of Moments
Sebastian Moreno, Purdue University; Jennifer Neville, Purdue University; Sergey Kirshner, Purdue University
• 928 Measuring spontaneous devaluations in user preferences
Komal Kapoor, University of Minnesota Twin C; Nisheeth Srivastava, ; Jaideep Srivastava, University of Minnesota; Paul Schrater, University of Minnesota Twin Cities
• 963 Mining Evidences for Named Entity Disambiguation
Yang Li, University of California Santa Barbara; Chi Wang, University of Illinois; Fangqiu Han, University of California Santa Barbara; Jiawei Han, University of Illinois at Urbana-Champaign; Dan Roth, UIUC; Xifeng Yan, University of California at Santa
Barbara
• 1052 Privacy-Preserving Data Exploration in Genome-Wide Association Studies
Aaron Johnson, U.S. Naval Research Laboratory; Vitaly Shmatikov, The University of Texas at Austin
• 1076 Synthetic Review Spamming and Defense
Alex Morales, ; Huan Sun, UCSB; Xifeng Yan, University of California at Santa Barbara
• 1097 Information Cartography: Creating Zoomable, Large-Scale Maps of Information
Dafna Shahaf, Stanford; Jaewon Yang, Stanford University; Caroline Suen, ; Jeff Jacobs, ; Heidi Wang, ; Jure Leskovec, Stanford University
• 1192 Restreaming Graph Partitioning: Simple Versatile Algorithms for Advanced Balancing
Joel Nishimura, Cornell University; Johan Ugander, Cornell University
• 1202 Understanding Evolution of Research Themes: A Probabilistic Generative Model for Citations
Xiaolong Wang, UIUC; ChengXiang Zhai, UIUC; Dan Roth, UIUC
• 1289 Discriminant Low-Rank Regression: On The Equivalence of Low-Rank Regression and Discriminant Analysis
Xiao Cai, Chris Ding, Feiping Nie, Heng Huang, University of Texas, Arlington