Quanquan Gu

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Pan XuCalifornia Institute of TechnologyVerified email at caltech.edu
Jinghui ChenAssistant Professor of Information Sciences and Technology, Penn State UniversityVerified email at psu.edu
Yizhou SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu
Jian MaRay and Stephanie Lane Professor of Computational Biology, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Spencer FreiPostdoctoral Researcher, UC BerkeleyVerified email at berkeley.edu
Lihong Li (李力鸿)AmazonVerified email at amazon.com
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Vladimir BravermanAssociate Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca
Guido F. MontufarUCLA Math / StatVerified email at math.ucla.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, UCSDVerified email at ucsd.edu
Panagiotis D. ChristofidesWilliam D. Van Vorst Distinguished Professor and Department Chair of Chemical Engineering, UCLAVerified email at seas.ucla.edu
Philip LongGoogleVerified email at google.com
Miryung KimFull Professor, Computer Science, University of California, Los AngelesVerified email at cs.ucla.edu
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu
Zheng WenDeepMindVerified email at google.com
Amy ZhangUC Berkeley / FacebookVerified email at fb.com

Quanquan Gu

Assistant Professor of Computer Science, UCLA

Verified email at cs.ucla.edu - Homepage

Statistical Machine Learning Nonconvex Optimization Deep Learning Theory High-dimensional Statistics Reinforcement Learning


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, 599-634, 2014	2541*	2014
Generalized fisher score for feature selection Q Gu, Z Li, J Han Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2012	735	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	592	2014
Gradient descent optimizes over-parameterized deep ReLU networks D Zou, Y Cao, D Zhou, Q Gu Machine Learning, 1-26, 2019	423*	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	281	2010
Co-clustering on manifolds Q Gu, J Zhou Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	259	2009
Improving adversarial robustness requires revisiting misclassified examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu International Conference on Learning Representations, 2020	228	2020
Joint feature selection and subspace learning Q Gu, Z Li, J Han International Joint Conference on Artificial Intelligence 22 (1), 1294, 2011	217	2011
Generalization bounds of stochastic gradient descent for wide and deep neural networks Y Cao, Q Gu Advances in neural information processing systems, 2019	190	2019
On the Convergence and Robustness of Adversarial Training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu International Conference on Machine Learning 1, 2, 2019	174	2019
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	170	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	156	2013
Stochastic nested variance reduction for nonconvex optimization D Zhou, P Xu, Q Gu Advances in Neural Information Processing Systems, 3921-3932, 2018	145*	2018
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	137	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	134	2014
An improved analysis of training over-parameterized deep neural networks D Zou, Q Gu Advances in neural information processing systems, 2019	130	2019
Clustered support vector machines Q Gu, J Han International Conference on Artificial Intelligence and Statistics, 307-315, 2013	129	2013
Generalization error bounds of gradient descent for learning overparameterized deep relu networks Y Cao, Q Gu Proceedings of the AAAI Conference on Artificial Intelligence, 2020	126*	2020
Global convergence of Langevin dynamics based algorithms for nonconvex optimization P Xu, J Chen, D Zou, Q Gu Advances in Neural Information Processing Systems 31, 2018	124	2018
Collaborative filtering with entity similarity regularization in heterogeneous information networks X Yu, X Ren, Q Gu, Y Sun, J Han IJCAI HINA 27, 2013	115	2013

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