Research Interests

My research interests include Social Computing, Data Mining and Computational Advertising.

• Social Computing: Social Media Mining, Emergent Intelligence in Social Media, Large-Scale Social Network Analysis, Collective Behavior Modeling and Prediction, Influence Modeling, and Network Evolution.


• Data Mining: Computational Advertising, Graph Mining, Relational Learning, Community Detection; Text Mining, Large-Scale Multi-Label Classification, Hierarchical Classification.

Research Experience

• Scientist, Advertising Sciences, Yahoo! Labs, September 2010 - Present.


• Research Intern, Yahoo! Data Mining and Research Group, Summer 2008.


• Research Intern, America Online Inc. (AOL), Summer 2005

Research Projects, Data and Source Code

During my PhD study, I was actively involved in the following projects:

• Social Dimension Approach to Classification in Large-Scale Networks, including source code and data
• Community Identification in Dynamic Heterogeneous Networks, including source code and data
• Modeling Group Interaction via Open Data Sources
• Social Computing Data Repository at ASU
• Source code and data for Extracting Shared Subspace for Multi-Label Classification
• Source code for Multiple Kernel Learning with Multiple Labels

Collaborators

Dr. Nitin Agarwal, University of Arkansas at Little Rock Geoffrey Barbier, Air Force Research Laboratory Dr. Sun-Ki Chai, University of Hawaii Jianhui Chen, Arizona State University Huiji Gao, Arizona State University Dr. Shuiwang Ji, Old Dominion University Dr. Kun Liu, Yahoo! Labs Dr. Vijay K. Narayanan, Yahoo! Inc.

Dr. Suju Rajan, Yahoo! Inc. Payam Refaeilzadeh, Microsoft Inc. Dr. John Salerno, Air Force Office of Scientific Research Dr. Lei Wang, The Australian National University Xufei Wang, Arizona State University Dr. Jieping Ye, Arizona State University Dr. Jianping Zhang, Financial Adverory Service, Deloitte Reza Zafarani, Arizona State University

Publications

Book Lei Tang and Huan Liu. Community Detection and Mining in Social Media, Morgan & Claypool Publishers, 2010. [book website] Tutorial Huan Liu, Lei Tang and Nitin Agarwal. Tutorial on Community Detection and Behavior Study for Social Computing. Presented in The 1st IEEE International Conference on Social Computing (SocialCom'09), 2009.

Book Chapters and Encyclopedia Articles

• Lei Tang and Huan Liu. Understanding Group Structures and Properties in Social Media. In Link Mining: Models, Algorithms and Applications, Editors: Christos Faloutsos, Jiawei Han and Philip S. Yu. In press.
• Lei Tang and Huan Liu. Graph Mining Applications to Social Network Analysis. In Managing and Mining Graph Data, Editors: Charu Aggarwal and Haixun Wang. Springer, 2010.
• Payam Refaeilzadeh, Lei Tang and Huan Liu. Cross Validation. In Encyclopedia of Database Systems, Editors: M. Tamer Özsu and Ling Liu. Springer, 2009.
• Lei Tang, Huan Liu and Jianping Zhang. Bridging Taxonomic Semantics to Accurate Hierarchical Classification. In Encyclopedia of Data Warehousing and Mining, 2nd Edition, Editor: John Wang. Idea Group, 2008.

Refereed Journal Articles

• Lei Tang, Xufei Wang, and Huan Liu. Community Detection via Heterogeneous Interaction Analysis. Knowledge Discovery and Data Mining (DMKD), 2011
• Nitin Agarwal, Huan Liu, Lei Tang and Philip Yu. Modeling Blogger Influence in a Community. Social Network Analysis and Mining journal, forthcoming
• Lei Tang, Xufei Wang, and Huan Liu. Group Profiling for Understanding Social Structures. ACM Transactions on Intelligent Systems and Technology (TIST), forthcoming
• Geoffrey Barbier, Lei Tang and Huan Liu. Understanding Online Groups through Social Media. WIREs Data Mining and Knowledge Discovery, forthcoming
• Lei Tang, Xufei Wang and Huan Liu. Scalable Learning of Collective Behavior. IEEE Transactions on Knowledge and Data Engineering (TKDE), To appear.
• Lei Tang, and Huan Liu. Leveraging Social Media Networks for Classification. Journal of Data Mining and Knowledge Discovery (DMKD), 2011.
• Lei Tang, Huan Liu and Jianping Zhang. Identifying Evolving Groups in Dynamic Multi-Mode Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), To appear.
• Lei Tang and Huan Liu. Toward Predicting Collective Behavior via Social Dimension Extraction. IEEE Intelligent Systems, vol.25, no.4, pp.19-25, July-Aug. 2010.
• Shuiwang Ji, Lei Tang, Shipeng Yu and Jieping Ye. A Shared-Subspace Learning Framework for Multi-Label Classification. ACM Transactions on Knowledge Discovery from Data (TKDD), vol 4, issue 2, 1-29, 2010.
• Lei Tang, Huan Liu, Jianping Zhang, Nitin Agarwal and John Salerno. Topic Taxonomy Adaptation for Group Profiling. ACM Transactions on Knowledge Discovery from Data (TKDD), vol 1, issue 4, 1-28, 2008.

Conference and Workshop Papers

• Kun Liu and Lei Tang. Large Scale Behavioral Targeting with a Social Twist, CIKM, 2011
• Xia Hu, Lei Tang and Huan Liu. Enhancing Accessibility of Microblogging Messages Using Semantic Knowledge, CIKM, 2011
• Xufei Wang, Lei Tang, Huiji Gao, and Huan Liu. Discovering Overlapping Groups in Social Media. In Proceedings of The 10th IEEE International Conference on Data Mining (ICDM'10), 2010.
• Lei Tang, Huiji Gao, and Huan Liu. Network Quantification Despite Biased Labels. In Workshop on Mining and Learning with Graphs, KDD 2010.
• Lei Tang, Xufei Wang, Huan Liu and Lei Wang. A Multi-Resolution Approach to Learning with Overlapping Communities. In Workshop on Social Media Analytics, KDD 2010.
• Lei Tang, Geoffrey Barbier, Huan Liu and Jianping Zhang. A Social Network Analysis Approach to Detecting Suspicious Online Financial Activities. In Proceedings of International Conference on Social Computing, Behavioral Modeling and Prediction (SBP'10), pages 390-397, 2010.
• Lei Tang, Xufei Wang and Huan Liu. Uncovering Groups via Heterogeneous Interaction Analysis. In Proceedings of IEEE International Conference on Data Mining (ICDM'09), pages 503-512, 2009. [data, slides]
• Lei Tang and Huan Liu. Scalable Learning of Collective Behavior based on Sparse Social Dimensions. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), pages 1107-1116, 2009. [slides, data, code]
• Lei Tang and Huan Liu. Relational Learning via Latent Social Dimensions. In Proceedings of The 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'09), pages 817-826, 2009. [slides, poster, data, code]
• Lei Tang. Collective Behavior Prediction in Social Media. In Doctoral Student Forum, SIAM International Conference on Data Mining (SDM'09), 2009.
• Lei Tang, Jianhui Chen and Jieping Ye. On Multiple Kernel Learning with Multiple Labels. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI'09), pages 1255-1260, 2009. [slides, code]
• Jianhui Chen, Lei Tang, Jun Liu and Jieping Ye. A Convex Formulation for Learning Shared Structures from Multiple Tasks. In Proceedings of The 26th International Conference on Machine Learning (ICML'09), pages 137–144, 2009. [slides]
• Lei Tang, Suju Rajan and Vijay K. Narayanan. Large Scale Multi-Label Classification via MetaLabeler. In Proceedings of The 18th International World Wide Web Conference (WWW'09), pages 211-220, 2009. [slides]
• Shuiwang Ji, Lei Tang, Shipeng Yu and Jieping Ye. Extracting Shared Subspace for Multi-label Classification. In Proceedings of The 14th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'08), pages 381-389, 2008. [slides, code]
• Lei Tang, Huan Liu, Jianping Zhang and Zohreh Nazeri. Community Evolution in Dynamic Multi-mode Networks. In Proceedings of The 14th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'08), pages 677-685, 2008. [data]
• Nitin Agarwal, Huan Liu, Lei Tang and Philip Yu (alphabetical order). Identifying the Influential Bloggers in a Community. In Proceedings of The 1st ACM Conference on Web Search and Data Mining (WSDM'08), pages 207-218, 2008. [data]
• Payam Refaeilzadeh, Lei Tang and Huan Liu. On Comparison of Feature Selection Algorithms. In Proceedings of AAAI Workshop on Evaluation Methods for Machine Learning II (AAAI'07), pages 34-39, 2007.
• Lei Tang, Jianping Zhang and Huan Liu. Acclimatizing Taxonomic Semantics for Hierarchical Content Categorization. In Proceedings of The 12th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'06), pages 384-393, 2006. [slides]
• Lei Tang and Huan Liu. Bias Analysis in Text Classification for Highly Skewed Data. In Proceedings of The 5th IEEE International Conference on Data Mining (ICDM'05), pages 781-784, 2005. [slides]
• Ronglu Li, Xiaopeng Tao, Lei Tang and Yunfa Hu. Using Maximum Entropy Model for Chinese Text Categorization. In Proceedings of the 6th Asia Pacific Web Conference (APWeb'04), pages 578-587, 2004.

Dissertation

• Lei Tang. Learning with Large Scale Social Media Networks, July 2010. Thesis Committee: Huan Liu, Subbarao Kambhampati, Pat Langley and Jieping Ye.