Qing Qu

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Soavtorji

Zhihui ZhuAssistant Professor, Ohio State UniversityPreverjeni e-poštni naslov na osu.edu
John WrightElectrical Engineering, Columbia UniversityPreverjeni e-poštni naslov na columbia.edu
Ju SunAssistant Professor, Computer Science & Engineering, University of Minnesota at Twin CitiesPreverjeni e-poštni naslov na umn.edu
PENG WANGPostdoc Fellow, Department of Electrical Engineering and Computer Science, University of MichiganPreverjeni e-poštni naslov na umich.edu
Xiao Li (李虓)Ph.D. candidate at University of MichiganPreverjeni e-poštni naslov na umich.edu
Chong YouGooglePreverjeni e-poštni naslov na google.com
Can YarasPhD Student, University of MichiganPreverjeni e-poštni naslov na umich.edu
Laura BalzanoUniversity of Michigan, Ann ArborPreverjeni e-poštni naslov na umich.edu
Jinxin ZhouOhio State UniversityPreverjeni e-poštni naslov na osu.edu
Trac D. TranProsessor of Electrical and Computer Engineering, Johns Hopkins UniversityPreverjeni e-poštni naslov na jhu.edu
Nasser M NasrabadiProfessor, CSEE-WVU, ECE-JHUPreverjeni e-poštni naslov na jhu.edu
Xiao LiThe Chinese University of Hong Kong, ShenzhenPreverjeni e-poštni naslov na cuhk.edu.cn
Sheng LiuStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Saiprasad RavishankarMichigan State UniversityPreverjeni e-poštni naslov na msu.edu
Yuqian ZhangAssistant Professor, Rutgers UniversityPreverjeni e-poštni naslov na rutgers.edu
Tianyu Ding, Ph.D.Principal Researcher, Microsoft | Johns Hopkins UniversityPreverjeni e-poštni naslov na microsoft.com
Yuexiang ZhaiUC Berkeley | Google DeepMindPreverjeni e-poštni naslov na berkeley.edu
Huijie ZhangGraduate Student, University of Michigan, Ann ArborPreverjeni e-poštni naslov na umich.edu
Yi Ma (马毅)Director of School of Computing & Data Science, Hong Kong University; Professor of EECS, UC BerkeleyPreverjeni e-poštni naslov na hku.hk
Ismail R. AlkhouriDARPA, UMich, and MSUPreverjeni e-poštni naslov na darpa.mil

Spremljaj

Qing Qu

Assistant Professor, Dept. of EECS, University of Michigan

Preverjeni e-poštni naslov na umich.edu - Domača stran

Machine Learning Nonconvex Optimization High Dimensional Data Analysis Deep Learning Theory


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
A geometric analysis of phase retrieval J Sun, Q Qu, J Wright Foundations of Computational Mathematics 18, 1131-1198, 2018	647	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	334	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	218	2021
When are nonconvex problems not scary? J Sun, Q Qu, J Wright arXiv preprint arXiv:1510.06096, 2015	192	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
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	138*	2024
Robust training under label noise by over-parameterization S Liu, Z Zhu, Q Qu, C You International Conference on Machine Learning, 14153-14172, 2022	138	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	133	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	128	2013
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	111	2022
Complete dictionary recovery over the sphere J Sun, Q Qu, J Wright 2015 International Conference on Sampling Theory and Applications (SampTA …, 2015	105	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	75	2024
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	63	2022
From symmetry to geometry: Tractable nonconvex problems Y Zhang, Q Qu, J Wright arXiv preprint arXiv:2007.06753, 2020	61	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	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 (Best Paper at …, 2024	55	2024
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	49	2022
Complete dictionary recovery using nonconvex optimization J Sun, Q Qu, J Wright International Conference on Machine Learning, 2351-2360, 2015	48	2015

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