Chi Wang

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisDirección de correo verificada de cs.uiuc.edu
Jialu LiuGoogle ResearchDirección de correo verificada de illinois.edu
Wei Chen （陈卫）Microsoft ResearchDirección de correo verificada de microsoft.com
Yajun WangMicrosoft CorporationDirección de correo verificada de microsoft.com
Bolin DingAlibaba GroupDirección de correo verificada de alibaba-inc.com
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityDirección de correo verificada de purdue.edu
Tang JieWeBank Chair Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Nihit DesaiStanford, Facebook, Refuel.aiDirección de correo verificada de cs.stanford.edu
Yizhou SunProfessor, Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignDirección de correo verificada de illinois.edu
Clare R. VossARLDirección de correo verificada de acm.org
Susan Xueqing LiuStevens Institute of TechnologyDirección de correo verificada de stevens.edu
Yanglei SongAssistant Professor, Queen's UniversityDirección de correo verificada de queensu.ca
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarDirección de correo verificada de illinois.edu
Zi YangGoogle DeepMindDirección de correo verificada de google.com
ChengXiang ZhaiUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Duo ZhangTwitter, Inc.Dirección de correo verificada de illinois.edu
Philip A. BernsteinMicrosoft ResearchDirección de correo verificada de microsoft.com
Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Kevin Chen-Chuan ChangUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu

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Chi Wang

Microsoft Research

Dirección de correo verificada de microsoft.com - Página principal

AI Large Language Models AI Agents Machine Learning Data Mining


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Scalable influence maximization for prevalent viral marketing in large-scale social networks W Chen, C Wang, Y Wang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	2206	2010
Social influence analysis in large-scale networks J Tang, J Sun, C Wang, Z Yang Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	1342	2009
Multi-view clustering via joint nonnegative matrix factorization J Liu, C Wang, J Gao, J Han Proceedings of the 2013 SIAM international conference on data mining, 252-260, 2013	1035	2013
Autogen: Enabling next-gen llm applications via multi-agent conversation framework Q Wu, G Bansal, J Zhang, Y Wu, S Zhang, E Zhu, B Li, L Jiang, X Zhang, ... arXiv preprint arXiv:2308.08155, 2023	591	2023
Scalable influence maximization for independent cascade model in large-scale social networks C Wang, W Chen, Y Wang Data Mining and Knowledge Discovery 25, 545-576, 2012	420	2012
On community outliers and their efficient detection in information networks J Gao, F Liang, W Fan, C Wang, Y Sun, J Han Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	381	2010
ALEX: an updatable adaptive learned index J Ding, UF Minhas, J Yu, C Wang, J Do, Y Li, H Zhang, B Chandramouli, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020	334	2020
Mining quality phrases from massive text corpora J Liu, J Shang, C Wang, X Ren, J Han Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015	278	2015
Scalable topical phrase mining from text corpora A El-Kishky, Y Song, C Wang, C Voss, J Han arXiv preprint arXiv:1406.6312, 2014	278	2014
Mining advisor-advisee relationships from research publication networks C Wang, J Han, Y Jia, J Tang, D Zhang, Y Yu, J Guo Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	259	2010
Netsmf: Large-scale network embedding as sparse matrix factorization J Qiu, Y Dong, H Ma, J Li, C Wang, K Wang, J Tang The World Wide Web Conference, 1509-1520, 2019	211	2019
Flaml: A fast and lightweight automl library C Wang, Q Wu, M Weimer, E Zhu arXiv preprint arXiv:1911.04706, 2019	208	2019
Clustype: Effective entity recognition and typing by relation phrase-based clustering X Ren, A El-Kishky, C Wang, F Tao, CR Voss, J Han Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	138	2015
Mining evidences for named entity disambiguation Y Li, C Wang, F Han, J Han, D Roth, X Yan Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	136	2013
Sample+ seek: Approximating aggregates with distribution precision guarantee B Ding, S Huang, S Chaudhuri, K Chakrabarti, C Wang Proceedings of the 2016 International Conference on Management of Data, 679-694, 2016	135	2016
User profiling in an ego network: co-profiling attributes and relationships R Li, C Wang, KCC Chang Proceedings of the 23rd international conference on World wide web, 819-830, 2014	126	2014
A phrase mining framework for recursive construction of a topical hierarchy C Wang, M Danilevsky, N Desai, Y Zhang, P Nguyen, T Taula, J Han Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	126	2013
Selectivity estimation for range predicates using lightweight models A Dutt, C Wang, A Nazi, S Kandula, V Narasayya, S Chaudhuri Proceedings of the VLDB Endowment 12 (9), 1044-1057, 2019	115	2019
Azade Nazi, Srikanth Kandula, Vivek Narasayya, and Surajit Chaudhuri. 2019. Selectivity estimation for range predicates using lightweight models A Dutt, C Wang Proceedings of the VLDB Endowment 12 (9), 1044-1057, 2019	112	2019
Qd-tree: Learning data layouts for big data analytics Z Yang, B Chandramouli, C Wang, J Gehrke, Y Li, UF Minhas, PÅ Larson, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020	110	2020

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