| Cross-validation P Refaeilzadeh, L Tang, H Liu Encyclopedia of Database Systems, 532-538, 2009 | 3320 | 2009 |
| Relational learning via latent social dimensions L Tang, H Liu Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 877 | 2009 |
| Identifying the influential bloggers in a community N Agarwal, H Liu, L Tang, PS Yu Proceedings of the international conference on Web search and web data …, 2008 | 762 | 2008 |
| Community detection and mining in social media L Tang, H Liu Springer Nature, 2022 | 591 | 2022 |
| Leveraging social media networks for classification L Tang, H Liu Data Mining and Knowledge Discovery, 1-32, 2011 | 452 | 2011 |
| Exploiting Social Relations for Sentiment Analysis in Microblogging X Hu, L Tang, J Tang, H Liu | 447 | 2013 |
| Community evolution in dynamic multi-mode networks L Tang, H Liu, J Zhang, Z Nazeri Proceeding of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 364 | 2008 |
| Scalable learning of collective behavior based on sparse social dimensions L Tang, H Liu Proceeding of the 18th ACM conference on Information and knowledge …, 2009 | 324 | 2009 |
| Large scale multi-label classification via metalabeler L Tang, S Rajan, VK Narayanan Proceedings of the 18th international conference on World Wide Web, 211-220, 2009 | 307 | 2009 |
| Community detection via heterogeneous interaction analysis L Tang, X Wang, H Liu Data Mining and Knowledge Discovery, 1-33, 2012 | 274* | 2012 |
| Extracting shared subspace for multi-label classification S Ji, L Tang, S Yu, J Ye Proceeding of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 248 | 2008 |
| Uncovering Groups via Heterogeneous Interaction Analysis L Tang, X Wang, H Liu Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on, 503-512, 2009 | 245* | 2009 |
| Discovering overlapping groups in social media X Wang, L Tang, H Gao, H Liu 2010 IEEE international conference on data mining, 569-578, 2010 | 212 | 2010 |
| A convex formulation for learning shared structures from multiple tasks J Chen, L Tang, J Liu, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009 | 200 | 2009 |
| Graph mining applications to social network analysis L Tang, H Liu Managing and Mining Graph Data, 487-513, 2010 | 186 | 2010 |
| What is tumblr: A statistical overview and comparison Y Chang, L Tang, Y Inagaki, Y Liu ACM SIGKDD explorations newsletter 16 (1), 21-29, 2014 | 184 | 2014 |
| A shared-subspace learning framework for multi-label classification S Ji, L Tang, S Yu, J Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 4 (2), 1-29, 2010 | 174 | 2010 |
| Identifying evolving groups in dynamic multi-mode networks L Tang, H Liu, J Zhang Knowledge and Data Engineering, IEEE Transactions on, 1-1, 2012 | 129 | 2012 |
| Bundle Recommendation in eCommerce T Zhu, P Harrington, J Li, L Tang SIGIR, 657-666, 2014 | 127 | 2014 |
| Method and system for predicting task completion of a time period based on task completion rates and data trend of prior time periods in view of attributes of tasks using … X Xu, L Tang, V Rangan US Patent 10,846,643, 2020 | 125 | 2020 |
Huan LiuRegents Professor, Arizona State University在 asu.edu 的电子邮件经过验证
