Suivre
Qing Qu
Titre
Citée par
Citée par
Année
A geometric analysis of phase retrieval
J Sun, Q Qu, J Wright
Foundations of Computational Mathematics 18, 1131-1198, 2018
6412018
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
3332016
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
2052021
When are nonconvex problems not scary?
J Sun, Q Qu, J Wright
arXiv preprint arXiv:1510.06096, 2015
1932015
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
1632016
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
1462013
Robust training under label noise by over-parameterization
S Liu, Z Zhu, Q Qu, C You
International Conference on Machine Learning, 14153-14172, 2022
1322022
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
1322014
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
126*2024
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
1262013
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
1072022
Complete dictionary recovery over the sphere
J Sun, Q Qu, J Wright
2015 International Conference on Sampling Theory and Applications (SampTA …, 2015
1062015
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
672024
From symmetry to geometry: Tractable nonconvex problems
Y Zhang, Q Qu, J Wright
arXiv preprint arXiv:2007.06753, 2020
622020
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
592022
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
512023
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
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
472022
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