Lei Tang Ph.D Candidate Brickyard Suite 501, 699 S. Mill Ave.       Computer Science and Engineering       Arizona State University       PO Box 878809       Tempe, AZ 85287-8809, USA (480) 727-7808     (480) 965-2751

Here are my latest Curriculum Vitae, Publications, Presentations, Collaborators and past TA work.

I received my B.S. from Department of Computer Science, Fudan University, China in 2004. Then, I joined the Ph.D program of Computer Science & Engineering at Arizona State University.

My research interests are in the area of Social Computing and Data Mining. More specifically,  Relatinal Learning with Heterogeneous Networks, Group Profiling and Evolution, Dynamic Network Analysis and Behavior Modeling in Social Media.

I am one of the founding members of Social Computing Group in Data Mining and Machine Learning Lab @ ASU. My advisor is Professor Huan Liu.

Currently, I am actively involved in the following projects: Modeling Group Interaction via Open Data Sources Community Identification in Dynamic Heterogeneous Networks Social Dimension Approach to Classification in Large-Scale Networks The figure on the right is the word cloud based on the title of my pulications.

 

Publications and Tutorials

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

• Lei Tang and Huan Liu. Community Detection and Mining in Social Media, Morgan & Claypool Publishers, to be published in 2010.

Refereed Book Chapters

• 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, in press.
• 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 and Huan Liu. Toward Collective Behavior Prediction via Social Dimension Extraction. To appear in IEEE Intelligent Systems.
• 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), To appear.
• 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, 2008.

Refereed Conference Papers

• 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.