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Yuqian Zhang
Yuqian Zhang
Assistant Professor, Rutgers University
Verified email at rutgers.edu - Homepage
Title
Cited by
Cited by
Year
Scalable robust matrix recovery: Frank--Wolfe meets proximal methods
C Mu, Y Zhang, J Wright, D Goldfarb
SIAM Journal on Scientific Computing 38 (5), A3291-A3317, 2016
772016
On the global geometry of sphere-constrained sparse blind deconvolution
Y Zhang, Y Lau, H Kuo, S Cheung, A Pasupathy, J Wright
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
742017
Structured local optima in sparse blind deconvolution
Y Zhang, HW Kuo, J Wright
IEEE Transactions on Information Theory 66 (1), 419-452, 2019
69*2019
Convolutional phase retrieval via gradient descent
Q Qu, Y Zhang, YC Eldar, J Wright
IEEE Transactions on Information Theory 66 (3), 1785-1821, 2019
51*2019
Geometry and symmetry in short-and-sparse deconvolution
HW Kuo, Y Zhang, Y Lau, J Wright
SIAM Journal on Mathematics of Data Science 2 (1), 216–245, 2020
482020
From symmetry to geometry: tractable nonconvex problems
Y Zhang, Q Qu, J Wright
arXiv preprint arXiv:2007.06753, 2020
442020
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
37*2019
Short-and-sparse deconvolution --- a geometric approach
Y Lau, Q Qu, HW Kuo, P Zhou, Y Zhang, J Wright
arXiv preprint arXiv:1908.10959, 2019
292019
Polynomial matrix completion for missing data imputation and transductive learning
J Fan, Y Zhang, M Udell
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3842-3849, 2020
262020
Dictionary learning in Fourier-transform scanning tunneling spectroscopy
SC Cheung, JY Shin, Y Lau, Z Chen, J Sun, Y Zhang, MA Müller, ...
Nature communications 11 (1), 1081, 2020
18*2020
Toward guaranteed illumination models for non-convex objects
Y Zhang, C Mu, HW Kuo, J Wright
Proceedings of the IEEE International Conference on Computer Vision, 937-944, 2013
152013
Structures of Spurious Local Minima in k-Means
W Qian, Y Zhang, Y Chen
IEEE Transactions on Information Theory 68 (1), 395-422, 2021
112021
Global convergence of least squares EM for demixing two log-concave densities
W Qian, Y Zhang, Y Chen
Neural Information Processing Systems Conference (NeurIPS), 2019, 2019
102019
Efficient point-to-subspace query in with application to robust object instance recognition
J Sun, Y Zhang, J Wright
SIAM Journal on Imaging Sciences, 2014 7 (4), 2105–2138, 2014
4*2014
A Geometric Approach to -means
J Hong, W Qian, Y Chen, Y Zhang
arXiv preprint arXiv:2201.04822, 2022
12022
Unique sparse decomposition of low rank matrices
D Jin, X Bing, Y Zhang
Advances in Neural Information Processing Systems, 2021, 2021
12021
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle
L Ding, Y Zhang, Y Chen
arXiv preprint arXiv:2008.13777, 2020
12020
Low-complexity modeling for visual data: representations and algorithms
Y Zhang
Columbia University, 2018
2018
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