Quanquan Gu

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Soavtorji

Dongruo ZhouIndiana University BloomingtonPreverjeni e-poštni naslov na iu.edu
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisPreverjeni e-poštni naslov na cs.uiuc.edu
Difan ZouThe University of Hong KongPreverjeni e-poštni naslov na cs.hku.hk
Yuan CaoThe University of Hong KongPreverjeni e-poštni naslov na hku.hk
Pan XuDuke UniversityPreverjeni e-poštni naslov na duke.edu
Jinghui ChenAssistant Professor of Information Sciences and Technology, Penn State UniversityPreverjeni e-poštni naslov na psu.edu
Weitong ZhangAssistant Professor, SDSS, UNC Chapel HillPreverjeni e-poštni naslov na unc.edu
Huizhuo YuanUniversity of California, Los AngelesPreverjeni e-poštni naslov na ucla.edu
Yizhou SunProfessor, Computer Science, UCLAPreverjeni e-poštni naslov na cs.ucla.edu
Tong ZhangUIUCPreverjeni e-poštni naslov na tongzhang-ml.org
Vladimir BravermanProfessor of Computer Science, Johns Hopkins University; Google Research; Adjunct Professor, Rice U.Preverjeni e-poštni naslov na cs.jhu.edu
Sham M KakadeHarvard UniversityPreverjeni e-poštni naslov na seas.harvard.edu
Jian MaRay and Stephanie Lane Professor, School of Computer Science, Carnegie Mellon UniversityPreverjeni e-poštni naslov na cs.cmu.edu
Spencer FreiGoogle DeepMindPreverjeni e-poštni naslov na google.com
Yuanzhi LiAssistant Professor at CMUPreverjeni e-poštni naslov na andrew.cmu.edu
Lihong Li (李力鸿)AmazonPreverjeni e-poštni naslov na amazon.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
Chenlu YeComputer Science, University of Illinois Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarPreverjeni e-poštni naslov na ucsd.edu
Panagiotis D. ChristofidesWilliam D. Van Vorst Distinguished Professor and Department Chair of Chemical Engineering, UCLAPreverjeni e-poštni naslov na seas.ucla.edu

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Quanquan Gu

Associate Professor of Computer Science, UCLA

Preverjeni e-poštni naslov na cs.ucla.edu - Domača stran

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


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Active learning: A survey CC Aggarwal, X Kong, Q Gu, J Han, SY Philip Data classification, 599-634, 2014	3692*	2014
Generalized fisher score for feature selection Q Gu, Z Li, J Han Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2012	1095	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	937	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	869	2020
Gradient descent optimizes over-parameterized deep ReLU networks D Zou, Y Cao, D Zhou, Q Gu Machine Learning, 1-26, 2019	771	2019
Self-play fine-tuning converts weak language models to strong language models Z Chen, Y Deng, H Yuan, K Ji, Q Gu arXiv preprint arXiv:2401.01335, 2024	464	2024
Generalization bounds of stochastic gradient descent for wide and deep neural networks Y Cao, Q Gu Advances in neural information processing systems, 2019	451	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	440	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	369	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	324*	2024
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	316	2010
Neural Contextual Bandits with Upper Confidence Bound-Based Exploration D Zhou, L Li, Q Gu International Conference on Machine Learning, 2020	306	2020
Co-clustering on manifolds Q Gu, J Zhou Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	305	2009
An improved analysis of training over-parameterized deep neural networks D Zou, Q Gu Advances in neural information processing systems, 2019	286	2019
Joint feature selection and subspace learning Q Gu, Z Li, J Han International Joint Conference on Artificial Intelligence 22 (1), 1294, 2011	256	2011
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	255	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	250	2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes D Zhou, Q Gu, C Szepesvari COLT, 2021	247	2021
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	244	2013
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	239	2018

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