Quanquan Gu

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	すべて	2020 年以来
引用	23065	17436
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150 件の論文

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共著者

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

フォロー

Quanquan Gu

Associate Professor of Computer Science, UCLA

確認したメールアドレス: cs.ucla.edu - ホームページ

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


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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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