About Me My research interests include Data Mining, Social Computing, and Computational Advertising. I am now the Chief Data Scientist at Clari, a startup focusing on predictive analytics for enterprise sales. Before that, I was a principal data scientist @WalmartLabs, and a scientist in Yahoo! Labs. I received my Ph.D. from Arizona State University in 2010 and B.S. from Fudan University, China in 2004. Email:     Twitter: @leitang

Updates

• 2016/07: I will speak at the Dato Data Science Summit in San Francisco, 2016
• 2016/03: My thoughts on AlphaGo and AI for enterprise published at venturebeat. Also got mentioned by MIT Tech Savvy
• 2015/08: Co-organizing workshop on Big Data for B2B Marketing and Sales (BigB2B)
• 2015/06: Paper Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging to be published at Transactions on Big Data (pdf)
• 2015/05: Thresholding for Top-k Recommendation with Temporal Dynamics uploaded to arXiv
• 2014/07: Paper What is Tumblr? A Statistical Overview and Comparison will be published @SIGKDD Explorations; Covered story from MIT Technology Review
• 2014/04: Paper "Bundle Recommendation in eCommerce" is accepted @SIGIR, 2014 (paper)
• 2013/07: Present @UAI workshop on New Challenges in e-Commerce Product Recommendation.
• 2013/07: Present Adaptive User Segmentation for Recommendation @GraphLab Workshop on large scale machine learning.
• 2013/03: Poster paper Scaling Matrix Factorization for Recommendation with Randomness is accepted @WWW, 2013.
• 2012/11: paper Exploiting Social Relations for Sentiment Analysis in Microblogging is accpeted @WSDM, 2013.
• 2012/08: paper A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks is accepted @TPAMI.
• 2012/07: My article "scalable learning of collective behavior" is featured in IEEE Special Technical Community on Social Networks [link]
• 2011/09: Lecture on "Community Detection for Social Computing" for the Social Computing Class @UCBekeley.

Book Lei Tang and Huan Liu. Community Detection and Mining in Social Media, Morgan & Claypool Publishers, 2010. [slides available at 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.

Software, Source Code and Data Sets

• 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


• 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

Recent Publications

Complete list can be found here or google scholar

• Tao Zhu, Patrick Harrington, Junjun Li, and Lei Tang. Bundle Recommendation in eCommerce, SIGIR, 2014. (paper)
• Lei Tang and Patrick Harrington. Scaling Matrix Factorization for Recommendation with Randomness, WWW, 2013.
• Jianhui Chen, Lei Tang, Jun Liu and Jieping Ye. A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks, Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, no. 5, pp. 1025-1038, May 2013.
• Xufei Wang, Lei Tang, Huan Liu and Lei Wang. Learning with Multi-Resolution Overlapping Communities. Knowledge and Information Systems (KAIS), 2012
• Xia Hu, Lei Tang, Jiliang Tang, and Huan Liu. Exploiting Social Relations for Sentiment Analysis in Microblogging, In Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM), 2013. (Best Paper Shortlist)
• Lei Tang, Xufei Wang, and Huan Liu. Community Detection via Heterogeneous Interaction Analysis. Knowledge Discovery and Data Mining (DMKD), 2012
• Nitin Agarwal, Huan Liu, Lei Tang and Philip Yu. Modeling Blogger Influence in a Community. Social Network Analysis and Mining journal, 2012
• Lei Tang, Xufei Wang and Huan Liu. Scalable Learning of Collective Behavior. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012. (Featured in IEEE Special Technical Community on Social Networks link)
• Lei Tang, Huan Liu and Jianping Zhang. Identifying Evolving Groups in Dynamic Multi-Mode Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(1): 72-85, 2012
• Kun Liu and Lei Tang. Large Scale Behavioral Targeting with a Social Twist, In Proceedings of The 20th ACM Conference on Information and Knowledge Managment (CIKM'11), pages 1815-1824, 2011
• Xia Hu, Lei Tang and Huan Liu. Enhancing Accessibility of Microblogging Messages Using Semantic Knowledge, In Proceedings of The 20th ACM Conference on Information and Knowledge Managment (CIKM'11), pages 2465-2468, 2011
• Lei Tang, and Huan Liu. Leveraging Social Media Networks for Classification. Journal of Data Mining and Knowledge Discovery (DMKD), 23:447-478, 2011.