Qing Qu

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Zhihui ZhuAssistant Professor, Ohio State UniversityVerificeret mail på osu.edu
John WrightElectrical Engineering, Columbia UniversityVerificeret mail på columbia.edu
Ju SunAssistant Professor, Computer Science & Engineering, University of Minnesota at Twin CitiesVerificeret mail på umn.edu
PENG WANGPostdoc Fellow, Department of Electrical Engineering and Computer Science, University of MichiganVerificeret mail på umich.edu
Xiao Li (李虓)Ph.D. candidate at University of MichiganVerificeret mail på umich.edu
Chong YouGoogleVerificeret mail på google.com
Can YarasPhD Student, University of MichiganVerificeret mail på umich.edu
Laura BalzanoUniversity of Michigan, Ann ArborVerificeret mail på umich.edu
Jinxin ZhouOhio State UniversityVerificeret mail på osu.edu
Trac D. TranProsessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerificeret mail på jhu.edu
Nasser M NasrabadiProfessor, CSEE-WVU, ECE-JHUVerificeret mail på jhu.edu
Xiao LiThe Chinese University of Hong Kong, ShenzhenVerificeret mail på cuhk.edu.cn
Yuqian ZhangAssistant Professor, Rutgers UniversityVerificeret mail på rutgers.edu
Saiprasad RavishankarMichigan State UniversityVerificeret mail på msu.edu
Yuexiang ZhaiUC Berkeley | Google DeepMindVerificeret mail på berkeley.edu
Sheng LiuStanford UniversityVerificeret mail på stanford.edu
Tianyu Ding, Ph.D.Principal Researcher, Microsoft | Johns Hopkins UniversityVerificeret mail på microsoft.com
Huijie ZhangGraduate Student, University of Michigan, Ann ArborVerificeret mail på umich.edu
Yi Ma (马毅)Director of School of Computing & Data Science, Hong Kong University; Professor of EECS, UC BerkeleyVerificeret mail på hku.hk
Soo Min KwonPhD Student, University of MichiganVerificeret mail på umich.edu

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Qing Qu

Assistant Professor, Dept. of EECS, University of Michigan

Verificeret mail på umich.edu - Startside

Machine Learning Nonconvex Optimization High Dimensional Data Analysis Deep Learning Theory


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
A geometric analysis of phase retrieval J Sun, Q Qu, J Wright Foundations of Computational Mathematics 18, 1131-1198, 2018	642	2018
Complete dictionary recovery over the sphere I: Overview and the geometric picture J Sun, Q Qu, J Wright IEEE Transactions on Information Theory 63 (2), 853-884, 2016	333	2016
A geometric analysis of neural collapse with unconstrained features Z Zhu, T Ding, J Zhou, X Li, C You, J Sulam, Q Qu Advances in Neural Information Processing Systems 34, 29820-29834, 2021	205	2021
When are nonconvex problems not scary? J Sun, Q Qu, J Wright arXiv preprint arXiv:1510.06096, 2015	193	2015
Complete dictionary recovery over the sphere ii: Recovery by riemannian trust-region method J Sun, Q Qu, J Wright IEEE Transactions on Information Theory 63 (2), 885-914, 2016	162	2016
Structured priors for sparse-representation-based hyperspectral image classification X Sun, Q Qu, NM Nasrabadi, TD Tran IEEE geoscience and remote sensing letters 11 (7), 1235-1239, 2013	146	2013
Robust training under label noise by over-parameterization S Liu, Z Zhu, Q Qu, C You International Conference on Machine Learning, 14153-14172, 2022	132	2022
Finding a sparse vector in a subspace: Linear sparsity using alternating directions Q Qu, J Sun, J Wright Advances in Neural Information Processing Systems 27, 2014	131	2014
Abundance estimation for bilinear mixture models via joint sparse and low-rank representation Q Qu, NM Nasrabadi, TD Tran IEEE Transactions on Geoscience and Remote Sensing 52 (7), 4404-4423, 2013	126	2013
Investigating the catastrophic forgetting in multimodal large language model fine-tuning Y Zhai, S Tong, X Li, M Cai, Q Qu, YJ Lee, Y Ma Conference on Parsimony and Learning, 202-227, 2024	123*	2024
On the optimization landscape of neural collapse under mse loss: Global optimality with unconstrained features J Zhou, X Li, T Ding, C You, Q Qu, Z Zhu International Conference on Machine Learning, 27179-27202, 2022	107	2022
Complete dictionary recovery over the sphere J Sun, Q Qu, J Wright 2015 International Conference on Sampling Theory and Applications (SampTA …, 2015	106	2015
Weakly convex optimization over Stiefel manifold using Riemannian subgradient-type methods X Li, S Chen, Z Deng, Q Qu, Z Zhu, AMC So SIAM Journal on Optimization 31 (3), 1605–1634, 2021	95*	2021
Solving inverse problems with latent diffusion models via hard data consistency B Song, SM Kwon, Z Zhang, X Hu, Q Qu, L Shen International Conference on Learning Representations, 2024	64	2024
From symmetry to geometry: Tractable nonconvex problems Y Zhang, Q Qu, J Wright arXiv preprint arXiv:2007.06753, 2020	62	2020
Are all losses created equal: A neural collapse perspective J Zhou, C You, X Li, K Liu, S Liu, Q Qu, Z Zhu Advances in Neural Information Processing Systems 35, 31697-31710, 2022	59	2022
Convolutional phase retrieval via gradient descent Q Qu, Y Zhang, YC Eldar, J Wright IEEE Transactions on Information Theory 66 (3), 1785-1821, 2019	58*	2019
The emergence of reproducibility and consistency in diffusion models H Zhang, J Zhou, Y Lu, M Guo, P Wang, L Shen, Q Qu Forty-first International Conference on Machine Learning, 2023	48	2023
Geometric analysis of nonconvex optimization landscapes for overcomplete learning Q Qu, Y Zhai, X Li, Y Zhang, Z Zhu International Conference on Learning Representations 2020, 2019	48*	2019
Complete dictionary recovery using nonconvex optimization J Sun, Q Qu, J Wright International Conference on Machine Learning, 2351-2360, 2015	47	2015

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