Xiao Li
Xiao Li
The Chinese University of Hong Kong, Shenzhen
Verified email at - 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
Weakly convex optimization over Stiefel manifold using Riemannian subgradient-type methods
X Li, S Chen, Z Deng, Q Qu, Z Zhu, A Man-Cho So
SIAM Journal on Optimization 31 (3), 1605-1634, 2021
Dropping symmetry for fast symmetric nonnegative matrix factorization
Z Zhu, X Li, K Liu, Q Li
Advances in Neural Information Processing Systems 31, 2018
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
Incremental methods for weakly convex optimization
X Li, Z Zhu, AMC So, JD Lee
arXiv preprint arXiv:1907.11687, 2019
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 32, 2019
Optimized structured sparse sensing matrices for compressive sensing
T Hong, X Li, Z Zhu, Q Li
Signal processing 159, 119-129, 2019
Convergence of random reshuffling under the Kurdyka-Lojasiewicz inequality
X Li, A Milzarek, J Qiu
SIAM Journal on Optimization 33 (2), 1092-1120, 2023
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
A provable splitting approach for symmetric nonnegative matrix factorization
X Li, Z Zhu, Q Li, K Liu
IEEE Transactions on Knowledge and Data Engineering 35 (3), 2206-2219, 2021
Distributed random reshuffling over networks
K Huang, X Li, A Milzarek, S Pu, J Qiu
IEEE Transactions on Signal Processing 71, 1143-1158, 2023
Convergence analysis of alternating nonconvex projections
Z Zhu, X Li
arXiv preprint arXiv:1802.03889, 2018
A unified convergence theorem for stochastic optimization methods
X Li, A Milzarek
Advances in Neural Information Processing Systems 35, 33107-33119, 2022
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
Nonconvex robust synchronization of rotations
H Liu, Z Deng, X Li, S Chen, AMC So
Proc. NeurIPS Annu. Workshop Optim. Mach. Learn.(OPT), 1-7, 2020
Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity
X Li, L Zhao, D Zhu, AMC So
arXiv preprint arXiv:2305.14161, 2023
Distributed stochastic optimization under a general variance condition
K Huang, X Li, S Pu
arXiv preprint arXiv:2301.12677, 2023
Finite-Time Analysis of Decentralized Single-Timescale Actor-Critic
Q Luo, X Li
Transactions on Machine Learning Research, 2023
Randomized Coordinate Subgradient Method for Nonsmooth Optimization
L Zhao, D Chen, D Zhu, X Li
arXiv preprint arXiv:2206.14981, 2022
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