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Qing Qu
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
5872018
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
3152016
When are nonconvex problems not scary?
J Sun, Q Qu, J Wright
arXiv preprint arXiv:1510.06096, 2015
1812015
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
1512016
Complete dictionary recovery using nonconvex optimization
J Sun, Q Qu, J Wright
International Conference on Machine Learning, 2351-2360, 2015
140*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
1222014
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
1212021
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
1172013
Robust training under label noise by over-parameterization
S Liu, Z Zhu, Q Qu, C You
International Conference on Machine Learning, 14153-14172, 2022
752022
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
66*2021
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
612022
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
From symmetry to geometry: Tractable nonconvex problems
Y Zhang, Q Qu, J Wright
arXiv preprint arXiv:2007.06753, 2020
522020
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
43*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
302022
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
302020
Short-and-Sparse Deconvolution--A Geometric Approach
Y Lau, Q Qu, HW Kuo, P Zhou, Y Zhang, J Wright
International Conference on Learning Representations 2020, 2019
292019
Robust zero‐point attraction least mean square algorithm on near sparse system identification
J Jin, Q Qu, Y Gu
IET Signal Processing 7 (3), 210-218, 2013
262013
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Articles 1–20