Chenhao Tan

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Lillian LeeProfessor of Computer Science, Cornell University. Pls see my homepg for data+updates+slides+etcVerified email at cs.cornell.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Tang JieProfessor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Vivian LaiUniversity of Colorado BoulderVerified email at colorado.edu
Amit SharmaSenior Researcher, Microsoft ResearchVerified email at cornell.edu
Cristian Danescu-Niculescu-MizilAssociate Professor, Cornell UniversityVerified email at cs.cornell.edu
Ramaravind Kommiya MothilalEverwell Health SolutionsVerified email at everwell.org
Daniel RomeroUniversity of MichiganVerified email at umich.edu
Yangfeng JiComputer Science, University of VirginiaVerified email at virginia.edu
Bo PangGoogle Inc.Verified email at google.com
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)Verified email at chuangxin.com
Michael WeisbachProfessor of Finance, Ohio State UniversityVerified email at fisher.osu.edu
Isil ErelDavid A. Rismiller Chair in Finance; Academic Director, Risk Institute, Fisher College of BusinessVerified email at osu.edu
Dallas CardUniversity of MichiganVerified email at umich.edu
Qin LvUniversity of Colorado BoulderVerified email at colorado.edu
Johan UganderAssistant Professor, Stanford UniversityVerified email at stanford.edu
Vlad NiculaeUniversity of AmsterdamVerified email at uva.nl
Jason Shuo ZhangMachine Learning Scientist, ASOS.comVerified email at colorado.edu
Anne Spencer RossBucknell UniversityVerified email at bucknell.edu
Divyat MahajanGraduate Student, MILAVerified email at mila.quebec

Chenhao Tan

University of Chicago

Verified email at chenhaot.com - Homepage

natural language processing human-centered machine learning human-AI interaction computational social science pubs verified


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
User-level sentiment analysis incorporating social networks C Tan, L Lee, J Tang, L Jiang, M Zhou, P Li Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	527	2011
Explaining machine learning classifiers through diverse counterfactual explanations RK Mothilal, A Sharma, C Tan Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020	306	2020
Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions C Tan, V Niculae, C Danescu-Niculescu-Mizil, L Lee Proceedings of the 25th international conference on world wide web, 613-624, 2016	284	2016
The effect of wording on message propagation: Topic-and author-controlled natural experiments on Twitter C Tan, L Lee, B Pang Proceedings of ACL, 2014	195	2014
On human predictions with explanations and predictions of machine learning models: A case study on deception detection V Lai, C Tan Proceedings of the conference on fairness, accountability, and transparency …, 2019	147	2019
Social action tracking via noise tolerant time-varying factor graphs C Tan, J Tang, J Sun, Q Lin, F Wang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	131	2010
On the interplay between social and topical structure DM Romero, C Tan, J Ugander Proc. 7th International AAAI Conference on Weblogs and Social Media (ICWSM), 2013	128	2013
Creative writing with a machine in the loop: Case studies on slogans and stories E Clark, AS Ross, C Tan, Y Ji, NA Smith 23rd International Conference on Intelligent User Interfaces, 329-340, 2018	111	2018
Efficient document clustering via online nonnegative matrix factorizations F Wang, P Li, C König Proceedings of the 11th SIAM Conference on Data Mining, 2011	102	2011
Joint bilingual sentiment classification with unlabeled parallel corpora B Lu, C Tan, C Cardie, BK Tsou Proceedings of the 49th annual meeting of the association for computational …, 2011	101	2011
Selecting directors using machine learning I Erel, LH Stern, C Tan, MS Weisbach The Review of Financial Studies 34 (7), 3226-3264, 2021	100	2021
Dynamic entity representations in neural language models Y Ji, C Tan, S Martschat, Y Choi, NA Smith arXiv preprint arXiv:1708.00781, 2017	97	2017
Neural models for documents with metadata D Card, C Tan, NA Smith arXiv preprint arXiv:1705.09296, 2017	92*	2017
All who wander: On the prevalence and characteristics of multi-community engagement C Tan, L Lee Proceedings of the 24th International Conference on World Wide Web, 1056-1066, 2015	92	2015
Preserving causal constraints in counterfactual explanations for machine learning classifiers D Mahajan, C Tan, A Sharma arXiv preprint arXiv:1912.03277, 2019	86	2019
Does bad news go away faster? S Wu, C Tan, J Kleinberg, M Macy Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011	83	2011
Expertise matching via constraint-based optimization W Tang, J Tang, C Tan 2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010	56	2010
Science, askscience, and badscience: On the coexistence of highly related communities J Hessel, C Tan, L Lee Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016	53	2016
To each his own: personalized content selection based on text comprehensibility C Tan, E Gabrilovich, B Pang Proceedings of the fifth ACM international conference on Web search and data …, 2012	47	2012
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans V Lai, H Liu, C Tan arXiv preprint arXiv:2001.05871, 2020	42	2020

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