Quanquan Gu

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

追蹤

Quanquan Gu

Associate Professor of Computer Science, UCLA

在 cs.ucla.edu 的電子郵件地址已通過驗證 - 首頁

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


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
Active learning: A survey CC Aggarwal, X Kong, Q Gu, J Han, SY Philip Data classification, 599-634, 2014	3660*	2014
Generalized fisher score for feature selection Q Gu, Z Li, J Han Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2012	1092	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	928	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	860	2020
Gradient descent optimizes over-parameterized deep ReLU networks D Zou, Y Cao, D Zhou, Q Gu Machine Learning, 1-26, 2019	768	2019
Generalization bounds of stochastic gradient descent for wide and deep neural networks Y Cao, Q Gu Advances in neural information processing systems, 2019	454	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	363	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	294	2020
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	287*	2024
An improved analysis of training over-parameterized deep neural networks D Zou, Q Gu Advances in neural information processing systems, 2019	287	2019
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	248	2022
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	246	2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes D Zhou, Q Gu, C Szepesvari COLT, 2021	245	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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