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Qing Qu
Qing Qu
Assistant Professor, Dept. of EECS, University of Michigan
Adresă de e-mail confirmată pe umich.edu - Pagina de pornire
Titlu
Citat de
Citat de
Anul
A geometric analysis of phase retrieval
J Sun, Q Qu, J Wright
Foundations of Computational Mathematics 18, 1131-1198, 2018
6092018
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
3212016
When are nonconvex problems not scary?
J Sun, Q Qu, J Wright
arXiv preprint arXiv:1510.06096, 2015
1832015
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
1562016
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
1412021
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
1382013
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
1262014
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
1162013
Robust training under label noise by over-parameterization
S Liu, Z Zhu, Q Qu, C You
International Conference on Machine Learning, 14153-14172, 2022
902022
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
732022
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
73*2021
From symmetry to geometry: Tractable nonconvex problems
Y Zhang, Q Qu, J Wright
arXiv preprint arXiv:2007.06753, 2020
552020
Convolutional phase retrieval via gradient descent
Q Qu, Y Zhang, YC Eldar, J Wright
IEEE Transactions on Information Theory 66 (3), 1785-1821, 2019
55*2019
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
49*2024
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
45*2019
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
43*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
422022
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
322020
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
312022
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