Quanquan Gu - Google Scholar Citations

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Citations	5110	4793
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i10-index	71	67

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Pan XuUCLAVerified email at ucla.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Yuan CaoUniversity of California, Los AngelesVerified email at cs.ucla.edu
Yizhou SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu
Jian MaSchool of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Thomas La PortaPenn State UniversityVerified email at cse.psu.edu
Tong ZhangHKUSTVerified email at tongzhang-ml.org
David EvansUniversity of Virginia, Computer ScienceVerified email at cs.virginia.edu
Hongning WangAssistant Professor, Department of Computer Science, University of VirginiaVerified email at virginia.edu
Tarek AbdelzaherUniversity of IllinoisVerified email at illinois.edu
S osherVerified email at math.ucla.edu
Simon Shaolei DuPostdoc Fellow at Institute for Advanced StudyVerified email at cs.cmu.edu
James BaileyProfessor, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
ChengXiang ZhaiUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
David M. GilbertBiological Science, Florida State UniversityVerified email at bio.fsu.edu
Aditya ChaudhryUniversity of Chicago, Booth School of BusinessVerified email at chicagobooth.edu
Spencer FreiPhD Student, UCLAVerified email at ucla.edu
Lihong Li (李力鸿)Research Scientist, GoogleVerified email at google.com
Kamin WhitehouseAssociate Professor of Computer Science, University of VirginiaVerified email at virginia.edu

Quanquan Gu

Assistant Professor of Computer Science, UCLA

Verified email at cs.ucla.edu - Homepage

Statistical Machine Learning Nonconvex Optimization High-dimensional Statistics Data Mining


Title	Cited by	Year
Active learning: A survey CC Aggarwal, X Kong, Q Gu, J Han, SY Philip Data Classification, 599-634, 2014	1488*	2014
Generalized fisher score for feature selection Q Gu, Z Li, J Han arXiv preprint arXiv:1202.3725, 2012	390	2012
Personalized entity recommendation: A heterogeneous information network approach X Yu, X Ren, Y Sun, Q Gu, B Sturt, U Khandelwal, B Norick, J Han Proceedings of the 7th ACM international conference on Web search and data …, 2014	280	2014
Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs Q Gu, J Zhou, C Ding Proceedings of the 2010 SIAM international conference on data mining, 199-210, 2010	210	2010
Co-clustering on manifolds Q Gu, J Zhou Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	200	2009
Joint feature selection and subspace learning Q Gu, Z Li, J Han Twenty-Second International Joint Conference on Artificial Intelligence, 2011	163	2011
Learning the shared subspace for multi-task clustering and transductive transfer classification Q Gu, J Zhou 2009 Ninth IEEE International Conference on Data Mining, 159-168, 2009	134	2009
Citation prediction in heterogeneous bibliographic networks X Yu, Q Gu, M Zhou, J Han Proceedings of the 2012 SIAM International Conference on Data Mining, 1119-1130, 2012	99	2012
Clustered support vector machines Q Gu, J Han Artificial Intelligence and Statistics, 307-315, 2013	98	2013
Stochastic gradient descent optimizes over-parameterized deep relu networks D Zou, Y Cao, D Zhou, Q Gu arXiv preprint arXiv:1811.08888, 2018	91	2018
Recommendation in heterogeneous information networks with implicit user feedback X Yu, X Ren, Y Sun, B Sturt, U Khandelwal, Q Gu, B Norick, J Han Proceedings of the 7th ACM conference on Recommender systems, 347-350, 2013	89	2013
Latent community topic analysis: Integration of community discovery with topic modeling Z Yin, L Cao, Q Gu, J Han ACM Transactions on Intelligent Systems and Technology (TIST) 3 (4), 63, 2012	88	2012
Cluscite: Effective citation recommendation by information network-based clustering X Ren, J Liu, X Yu, U Khandelwal, Q Gu, L Wang, J Han Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	76	2014
Correlated multi-label feature selection Q Gu, Z Li, J Han Proceedings of the 20th ACM international conference on Information and …, 2011	73	2011
High dimensional em algorithm: Statistical optimization and asymptotic normality Z Wang, Q Gu, Y Ning, H Liu Advances in neural information processing systems, 2521-2529, 2015	63*	2015
A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression Y Liu, Q Gu, JP Hou, J Han, J Ma BMC bioinformatics 15 (1), 37, 2014	59	2014
Linear discriminant dimensionality reduction Q Gu, Z Li, J Han Joint European conference on machine learning and knowledge discovery in …, 2011	57	2011
Local learning regularized nonnegative matrix factorization Q Gu, J Zhou Twenty-First International Joint Conference on Artificial Intelligence, 2009	57	2009
Trustworthiness analysis of sensor data in cyber-physical systems LA Tang, X Yu, S Kim, Q Gu, J Han, A Leung, T La Porta Journal of Computer and System Sciences 79 (3), 383-401, 2013	50	2013
Towards feature selection in network Q Gu, J Han Proceedings of the 20th ACM international conference on Information and …, 2011	50	2011

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