| Line: Large-scale information network embedding J Tang, M Qu, M Wang, M Zhang, J Yan, Q Mei Proceedings of the 24th international conference on world wide web, 1067-1077, 2015 | 5184 | 2015 |
| Topic sentiment mixture: modeling facets and opinions in weblogs Q Mei, X Ling, M Wondra, H Su, CX Zhai Proceedings of the 16th international conference on World Wide Web, 171-180, 2007 | 1088 | 2007 |
| Rumor has it: Identifying misinformation in microblogs V Qazvinian, E Rosengren, D Radev, Q Mei Proceedings of the 2011 conference on empirical methods in natural language …, 2011 | 971 | 2011 |
| Pte: Predictive text embedding through large-scale heterogeneous text networks J Tang, M Qu, Q Mei Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 817 | 2015 |
| Discovering evolutionary theme patterns from text: an exploration of temporal text mining Q Mei, CX Zhai Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 768 | 2005 |
| Enquiring minds: Early detection of rumors in social media from enquiry posts Z Zhao, P Resnick, Q Mei Proceedings of the 24th international conference on world wide web, 1395-1405, 2015 | 643 | 2015 |
| Automatic labeling of multinomial topic models Q Mei, X Shen, CX Zhai Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 523 | 2007 |
| Topic modeling with network regularization Q Mei, D Cai, D Zhang, CX Zhai Proceedings of the 17th international conference on World Wide Web, 101-110, 2008 | 515 | 2008 |
| The DARPA Twitter bot challenge VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ... Computer 49 (6), 38-46, 2016 | 478 | 2016 |
| Visualizing large-scale and high-dimensional data J Tang, J Liu, M Zhang, Q Mei Proceedings of the 25th international conference on world wide web, 287-297, 2016 | 426 | 2016 |
| A probabilistic approach to spatiotemporal theme pattern mining on weblogs Q Mei, C Liu, H Su, CX Zhai Proceedings of the 15th international conference on World Wide Web, 533-542, 2006 | 421 | 2006 |
| Query suggestion using hitting time Q Mei, D Zhou, K Church Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 413 | 2008 |
| Understanding the limiting factors of topic modeling via posterior contraction analysis J Tang, Z Meng, X Nguyen, Q Mei, M Zhang International conference on machine learning, 190-198, 2014 | 329 | 2014 |
| Supporting information retrieval from electronic health records: A report of University of Michigan’s nine-year experience in developing and using the Electronic Medical Record … DA Hanauer, Q Mei, J Law, R Khanna, K Zheng Journal of biomedical informatics 55, 290-300, 2015 | 320 | 2015 |
| Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA Y Lu, Q Mei, CX Zhai Information Retrieval 14, 178-203, 2011 | 313 | 2011 |
| We know what@ you# tag: does the dual role affect hashtag adoption? L Yang, T Sun, M Zhang, Q Mei Proceedings of the 21st international conference on World Wide Web, 261-270, 2012 | 310 | 2012 |
| Deepcas: An end-to-end predictor of information cascades C Li, J Ma, X Guo, Q Mei Proceedings of the 26th international conference on World Wide Web, 577-586, 2017 | 279 | 2017 |
| Information retrieval Q Mei, D Radev The Oxford Handbook of Computational Linguistics 2nd edition, 2016 | 251* | 2016 |
| Divrank: the interplay of prestige and diversity in information networks Q Mei, J Guo, D Radev Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 236 | 2010 |
| Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users X Lu, W Ai, X Liu, Q Li, N Wang, G Huang, Q Mei Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016 | 217 | 2016 |
ChengXiang ZhaiUniversity of Illinois at Urbana-Champaignillinois.edu의 이메일 확인됨
