Xiao Li
Xiao Li
The Chinese University of Hong Kong, Shenzhen
Verified email at cuhk.edu.cn - Homepage
Cited by
Cited by
Nonconvex robust low-rank matrix recovery
X Li, Z Zhu, A Man-Cho So, R Vidal
SIAM Journal on Optimization 30 (1), 660-686, 2020
Designing robust sensing matrix for image compression
G Li, X Li, S Li, H Bai, Q Jiang, X He
IEEE Transactions on Image Processing 24 (12), 5389-5400, 2015
A nonconvex approach for exact and efficient multichannel sparse blind deconvolution
Q Qu, X Li, Z Zhu
Advances in Neural Information Processing Systems, 4015-4026, 2019
Convergence analysis of alternating nonconvex projections
Z Zhu, X Li
arXiv preprint arXiv:1802.03889, 2018
Incremental methods for weakly convex optimization
X Li, Z Zhu, AMC So, JD Lee
arXiv preprint arXiv:1907.11687, 2019
Dropping symmetry for fast symmetric nonnegative matrix factorization
Z Zhu, X Li, K Liu, Q Li
Advances in Neural Information Processing Systems, 5154-5164, 2018
Nonsmooth optimization over stiefel manifold: Riemannian subgradient methods
X Li, S Chen, Z Deng, Q Qu, Z Zhu, AMC So
arXiv preprint arXiv:1911.05047, 2019
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods
X Li, S Chen, Z Deng, Q Qu, Z Zhu, AMC So
arXiv, arXiv: 1911.05047, 2019
Optimized structured sparse sensing matrices for compressive sensing
T Hong, X Li, Z Zhu, Q Li
Signal Processing 159, 119-129, 2019
Geometric analysis of nonconvex optimization landscapes for overcomplete learning
Q Qu, Y Zhai, X Li, Y Zhang, Z Zhu
International Conference on Learning Representations, 2019
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
Q Qu, Z Zhu, X Li, MC Tsakiris, J Wright, R Vidal
arXiv preprint arXiv:2001.06970, 2020
Analysis of the Optimization Landscapes for Overcomplete Representation Learning
Q Qu, Y Zhai, X Li, Y Zhang, Z Zhu
arXiv preprint arXiv:1912.02427, 2019
A new approach to sensing matrix optimization using steepest descent algorithm
X Li, JH Ye, G Li, H Bai, Q Jiang
2015 34th Chinese Control Conference (CCC), 4939-4944, 2015
On optimal sparsifying dictionary design with application to image inpainting
H Bai, X Li, Q Jiang, S Li
2015 IEEE International Conference on Digital Signal Processing (DSP), 361-365, 2015
Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent
Q Qu, X Li, Z Zhu
SIAM Journal on Imaging Sciences 13 (3), 1630-1652, 2020
Exact and Efficient Multi-Channel Sparse Blind Deconvolution—A Nonconvex Approach
Q Qu, X Li, Z Zhu
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 640-644, 2019
Designing Sparse Sensing Matrices for Image Compression
T Hong, X Li, Z Zhu, Q Li
arXiv preprint arXiv:1709.06895, 2017
Optimized Sparse Projections for Compressive Sensing.
T Hong, X Li, Z Zhu, Q Li
CoRR, 2017
Designing optimal sparsifying dictionary using first order series expansion
JH Ye, X Li, QR Jiang
2015 IEEE International Conference on Signal Processing, Communications and …, 2015
Sensing matrix optimization for compressed sensing with consideration of sparse representation error and rank constraint
X Li, J Ye, G Li, X He, H Bai
2015 IEEE International Conference on Cyber Technology in Automation …, 2015
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