Quanquan Gu

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	总计	2020 年至今
引用	22985	17354
h 指数	69	62
i10 指数	215	195

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Dongruo ZhouIndiana University Bloomington在 iu.edu 的电子邮件经过验证
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinois在 cs.uiuc.edu 的电子邮件经过验证
Difan ZouThe University of Hong Kong在 cs.hku.hk 的电子邮件经过验证
Yuan CaoThe University of Hong Kong在 hku.hk 的电子邮件经过验证
Pan XuDuke University在 duke.edu 的电子邮件经过验证
Jinghui ChenAssistant Professor of Information Sciences and Technology, Penn State University在 psu.edu 的电子邮件经过验证
Weitong ZhangAssistant Professor, SDSS, UNC Chapel Hill在 unc.edu 的电子邮件经过验证
Huizhuo YuanUniversity of California, Los Angeles在 ucla.edu 的电子邮件经过验证
Yizhou SunProfessor, Computer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
Tong ZhangUIUC在 tongzhang-ml.org 的电子邮件经过验证
Vladimir BravermanProfessor of Computer Science, Johns Hopkins University; Google Research; Adjunct Professor, Rice U.在 cs.jhu.edu 的电子邮件经过验证
Sham M KakadeHarvard University在 seas.harvard.edu 的电子邮件经过验证
Jian MaRay and Stephanie Lane Professor of Computational Biology, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Lihong Li (李力鸿)Amazon在 amazon.com 的电子邮件经过验证
Spencer FreiGoogle DeepMind在 google.com 的电子邮件经过验证
Yuanzhi LiAssistant Professor at CMU在 andrew.cmu.edu 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon Scholar在 ucsd.edu 的电子邮件经过验证
Panagiotis D. ChristofidesWilliam D. Van Vorst Distinguished Professor and Department Chair of Chemical Engineering, UCLA在 seas.ucla.edu 的电子邮件经过验证
Carl J. YangAssistant Professor of Computer Science at Emory University在 emory.edu 的电子邮件经过验证

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Quanquan Gu

Associate Professor of Computer Science, UCLA

在 cs.ucla.edu 的电子邮件经过验证 - 首页

Statistical Machine Learning Nonconvex Optimization Deep Learning Theory Reinforcement Learning AI for Science


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Active learning: A survey CC Aggarwal, X Kong, Q Gu, J Han, SY Philip Data classification, 599-634, 2014	3654*	2014
Generalized fisher score for feature selection Q Gu, Z Li, J Han Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2012	1090	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	927	2014
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	859	2020
Gradient descent optimizes over-parameterized deep ReLU networks D Zou, Y Cao, D Zhou, Q Gu Machine Learning, 1-26, 2019	766	2019
Generalization bounds of stochastic gradient descent for wide and deep neural networks Y Cao, Q Gu Advances in neural information processing systems, 2019	452	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	436	2019
Layer-dependent importance sampling for training deep and large graph convolutional networks D Zou, Z Hu, Y Wang, S Jiang, Y Sun, Q Gu Advances in neural information processing systems, 2019	361	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	317	2010
Co-clustering on manifolds Q Gu, J Zhou Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	306	2009
Neural Contextual Bandits with Upper Confidence Bound-Based Exploration D Zhou, L Li, Q Gu International Conference on Machine Learning, 2020	292	2020
An improved analysis of training over-parameterized deep neural networks D Zou, Q Gu Advances in neural information processing systems, 2019	285	2019
Position: TrustLLM: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning, 20166-20270, 2024	280*	2024
Neural Thompson Sampling W Zhang, D Zhou, L Li, Q Gu International Conference on Learning Representations, 2021	280	2021
Joint feature selection and subspace learning Q Gu, Z Li, J Han International Joint Conference on Artificial Intelligence 22 (1), 1294, 2011	256	2011
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	249	2013
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022	246	2022
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes D Zhou, Q Gu, C Szepesvari COLT, 2021	244	2021
Towards understanding the spectral bias of deep learning Y Cao, Z Fang, Y Wu, DX Zhou, Q Gu International Joint Conference on Artificial Intelligence, 2021	244	2021
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	236	2018

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