Qing Qu

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Zhihui ZhuAssistant Professor, Ohio State UniversityVerified email at osu.edu
John WrightElectrical Engineering, Columbia UniversityVerified email at columbia.edu
Ju SunAssistant Professor, Computer Science & Engineering, University of Minnesota at Twin CitiesVerified email at umn.edu
Xiao Li (李虓)Ph.D. candidate at University of MichiganVerified email at umich.edu
Chong YouGoogleVerified email at google.com
PENG WANGPostdoc Fellow, Department of Electrical Engineering and Computer Science, University of MichiganVerified email at umich.edu
Trac D. TranProsessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerified email at jhu.edu
Nasser M NasrabadiProfessor, CSEE, West Virginia UniversityVerified email at mail.wvu.edu
Xiao LiThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Laura BalzanoUniversity of Michigan, Ann ArborVerified email at umich.edu
Jinxin ZhouOhio State UniversityVerified email at osu.edu
Yuqian ZhangAssistant Professor, Rutgers UniversityVerified email at rutgers.edu
Sheng LiuStanford UniversityVerified email at stanford.edu
Can YarasPhD Student, University of MichiganVerified email at umich.edu
Yuexiang ZhaiUC BerkeleyVerified email at berkeley.edu
Xiaoxia Sun (孙骁遐)RobloxVerified email at roblox.com
Tianyu Ding, Ph.D.Senior Researcher, Microsoft | Johns Hopkins UniversityVerified email at microsoft.com
Yi Ma (马毅)Professor of EECS, UC Berkeley; Director of IDS & Head of CS, University of Hong KongVerified email at eecs.berkeley.edu
Carlos Fernandez-GrandaCourant Institute and Center for Data Science, New York UniversityVerified email at cims.nyu.edu
Saiprasad RavishankarMichigan State UniversityVerified email at msu.edu

Qing Qu

Assistant Professor, Dept. of EECS, University of Michigan

Verified email at umich.edu - Homepage

Machine Learning Nonconvex Optimization High Dimensional Data Analysis Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A geometric analysis of phase retrieval J Sun, Q Qu, J Wright Foundations of Computational Mathematics 18, 1131-1198, 2018	611	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	322	2016
When are nonconvex problems not scary? J Sun, Q Qu, J Wright arXiv preprint arXiv:1510.06096, 2015	186	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	157	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	152	2021
Complete dictionary recovery using nonconvex optimization J Sun, Q Qu, J Wright International Conference on Machine Learning, 2351-2360, 2015	141*	2015
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	139	2013
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	126	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	120	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	99	2022
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	80	2022
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	77*	2021
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	64*	2024
From symmetry to geometry: Tractable nonconvex problems Y Zhang, Q Qu, J Wright arXiv preprint arXiv:2007.06753, 2020	59	2020
Convolutional phase retrieval via gradient descent Q Qu, Y Zhang, YC Eldar, J Wright IEEE Transactions on Information Theory 66 (3), 1785-1821, 2019	56*	2019
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	47*	2019
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	46	2022
A nonconvex approach for exact and efficient multichannel sparse blind deconvolution Q Qu, X Li, Z Zhu Advances in neural information processing systems 32, 2019	45*	2019
Neural collapse with normalized features: A geometric analysis over the riemannian manifold C Yaras, P Wang, Z Zhu, L Balzano, Q Qu Advances in neural information processing systems 35, 11547-11560, 2022	35	2022
Robust recovery via implicit bias of discrepant learning rates for double over-parameterization C You, Z Zhu, Q Qu, Y Ma Neural Information Processing Systems 2020, 2020	34	2020

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