Qiaozhu Mei

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ChengXiang ZhaiUniversity of Illinois at Urbana-ChampaignEmail verificata su illinois.edu
Xuanzhe LiuBoya Distinguished Professor of Computer Science, Peking University, ACM Distinguished ScientistEmail verificata su pku.edu.cn
Jian Tang (唐建）Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI ChairEmail verificata su hec.ca
Ming Zhang（张铭）Professor,Peking UniversityEmail verificata su pku.edu.cn
Jiaqi W. MaAssistant Professor, University of Illinois Urbana-ChampaignEmail verificata su illinois.edu
Cheng LiGoogleEmail verificata su google.com
David A HanauerUniversity of MichiganEmail verificata su umich.edu
Xuan LuAssistant Professor, University of ArizonaEmail verificata su arizona.edu
Meng QuQuebec AI Institute (Mila)Email verificata su umontreal.ca
Huoran LiSoftware Engineering Institute, Peking University, Beijing, ChinaEmail verificata su pku.edu.cn
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisEmail verificata su cs.uiuc.edu
Paul ResnickUniversity of MichiganEmail verificata su umich.edu
Zhe ZhaoDepartment of Computer Science, University of California, DavisEmail verificata su ucdavis.edu
Gang Huangpeking universityEmail verificata su pku.edu.cn
Dragomir RadevProfessor, Computer Science, Yale UniversityEmail verificata su yale.edu
V.G.Vinod VydiswaranAssociate Professor of Learning Health Sciences and of Information, University of MichiganEmail verificata su umich.edu
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityEmail verificata su yale.edu
Zhenpeng ChenResearch Fellow, Nanyang Technological UniversityEmail verificata su ntu.edu.sg
Mingzhe WangPhD student, Princeton UniversityEmail verificata su cs.princeton.edu
Xiaoxiao GuoLinkedInEmail verificata su fb.com

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Qiaozhu Mei

Professor, University of Michigan

Email verificata su umich.edu - Home page

Data mining machine learning information retrieval natural language processing health informatics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	6566	2015
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	1177	2022
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	1141	2011
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	1140	2007
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	986	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	802	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	789	2015
Automatic labeling of multinomial topic models Q Mei, X Shen, CX Zhai Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	587	2007
The DARPA Twitter bot challenge VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ... Computer 49 (6), 38-46, 2016	579	2016
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	530	2008
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	525	2016
Query suggestion using hitting time Q Mei, D Zhou, K Church Proceedings of the 17th ACM conference on Information and knowledge …, 2008	437	2008
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	434	2006
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	415	2015
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	381	2014
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	372	2017
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	357	2012
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	354	2011
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	283	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	251	2010

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