Quanquan Gu

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Yuan CaoUniversity of California, Los AngelesVerified email at cs.ucla.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Yizhou SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu
Zhaoran WangAssistant Professor at Northwestern UniversityVerified email at northwestern.edu
Jian MaSchool of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
David EvansUniversity of Virginia, Computer ScienceVerified email at virginia.edu
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Spencer FreiPhD Student, UCLAVerified email at ucla.edu
S osherVerified email at math.ucla.edu
Lihong Li (李力鸿)AmazonVerified email at amazon.com
Hongning WangAssociate Professor, Department of Computer Science, University of VirginiaVerified email at virginia.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Guido F. MontufarUCLA Math / StatVerified email at math.ucla.edu
Vladimir BravermanAssociate Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
ChengXiang ZhaiUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Csaba SzepesvariDeepMind & Department of Computing Science, University of AlbertaVerified email at cs.ualberta.ca
Zheng WenDeepMindVerified email at google.com
Philip LongGoogleVerified email at google.com
Miryung KimFull Professor, Computer Science, University of California, Los AngelesVerified email at cs.ucla.edu

Quanquan Gu

Assistant Professor of Computer Science, UCLA

Verified email at cs.ucla.edu - Homepage

Statistical Machine Learning Nonconvex Optimization High-dimensional Statistics Reinforcement Learning Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Active learning: A survey CC Aggarwal, X Kong, Q Gu, J Han, SY Philip Data Classification: Algorithms and Applications, 571-605, 2014	2107*	2014
Generalized fisher score for feature selection Q Gu, Z Li, J Han Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2012	568	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	431	2014
Gradient descent optimizes over-parameterized deep ReLU networks D Zou, Y Cao, D Zhou, Q Gu Machine Learning, 1-26, 2019	276	2019
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	257	2010
Co-clustering on manifolds Q Gu, J Zhou Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	233	2009
Joint feature selection and subspace learning Q Gu, Z Li, J Han International Joint Conference on Artificial Intelligence 22 (1), 1294, 2011	196	2011
Learning a 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	155	2009
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	126	2013
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	125	2012
Clustered support vector machines Q Gu, J Han International Conference on Artificial Intelligence and Statistics, 307-315, 2013	121	2013
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	114	2014
Generalization bounds of stochastic gradient descent for wide and deep neural networks Y Cao, Q Gu Advances in neural information processing systems, 2019	110	2019
Stochastic nested variance reduction for nonconvex optimization D Zhou, P Xu, Q Gu Advances in Neural Information Processing Systems, 3921-3932, 2018	107*	2018
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), 1-21, 2012	104	2012
Generalization error bounds of gradient descent for learning overparameterized deep relu networks Y Cao, Q Gu AAAI, 2020	96*	2020
High dimensional em algorithm: Statistical optimization and asymptotic normality Z Wang, Q Gu, Y Ning, H Liu Advances in neural information processing systems 28, 2512, 2015	96*	2015
Global convergence of Langevin dynamics based algorithms for nonconvex optimization P Xu, J Chen, D Zou, Q Gu Advances in neural information processing systems, 2017	92	2017
Correlated multi-label feature selection Q Gu, Z Li, J Han Proceedings of the 20th ACM international conference on Information and …, 2011	88	2011
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), 1-11, 2014	80	2014

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