متابعة
Qing Qu
Qing Qu
Assistant Professor, Dept. of EECS, University of Michigan
بريد إلكتروني تم التحقق منه على umich.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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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مقالات 1–20