Ke Wei
Cited by
Cited by
Rapid, robust, and reliable blind deconvolution via nonconvex optimization
X Li, S Ling, T Strohmer, K Wei
Applied and computational harmonic analysis 47 (3), 893-934, 2019
Normalized iterative hard thresholding for matrix completion
J Tanner, K Wei
SIAM Journal on Scientific Computing 35 (5), S104-S125, 2013
Guarantees of Riemannian Optimization for Low Rank Matrix Recovery
K Wei, JF Cai, TF Chan, S Leung
SIAM Journal on Matrix Analysis and Applications 37 (3), 1198-1222, 2016
Low rank matrix completion by alternating steepest descent methods
J Tanner, K Wei
Oxford Numerical Analysis Group Preprint, 2014
Is attention better than matrix decomposition?
Z Geng, MH Guo, H Chen, X Li, K Wei, Z Lin
arXiv preprint arXiv:2109.04553, 2021
Solving systems of phaseless equations via Kaczmarz methods: A proof of concept study
K Wei
arXiv preprint arXiv:1502.01822, 2015
CGIHT: Conjugate Gradient Iterative Hard Thresholding for Compressed Sensing and Matrix Completion
JD Blanchard, J Tanner, K Wei
Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion
JF Cai, T Wang, K Wei
Applied and Computational Harmonic Analysis 46 (1), 94-121, 2019
Riemannian proximal gradient methods
W Huang, K Wei
Mathematical Programming 194 (1), 371-413, 2022
Guarantees of Riemannian optimization for low rank matrix completion
K Wei, JF Cai, TF Chan, S Leung
arXiv preprint arXiv:1603.06610, 2016
Accelerated alternating projections for robust principal component analysis
HQ Cai, JF Cai, K Wei
Journal of Machine Learning Research 20 (20), 1-33, 2019
Spectral compressed sensing via projected gradient descent
JF Cai, T Wang, K Wei
SIAM Journal on Optimization 28 (3), 2625-2653, 2018
When do birds of a feather flock together? k-Means, proximity, and conic programming
X Li, Y Li, S Ling, T Strohmer, K Wei
Mathematical Programming 179, 295-341, 2020
Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing
JD Blanchard, J Tanner, K Wei
An extension of fast iterative shrinkage‐thresholding algorithm to Riemannian optimization for sparse principal component analysis
W Huang, K Wei
arXiv preprint arXiv:1909.05485, 2019
Toward the optimal construction of a loss function without spurious local minima for solving quadratic equations
Z Li, JF Cai, K Wei
IEEE Transactions on Information Theory 66 (5), 3242-3260, 2019
Fast iterative hard thresholding for compressed sensing
K Wei
Solving systems of phaseless equations via Riemannian optimization with optimal sampling complexity
JF Cai, K Wei
arXiv preprint arXiv:1809.02773, 2018
Exploiting the structure effectively and efficiently in low-rank matrix recovery
JF Cai, K Wei
Handbook of Numerical Analysis 19, 21-51, 2018
New region force for variational models in image segmentation and high dimensional data clustering
K Wei, K Yin, XC Tai, TF Chan
arXiv preprint arXiv:1704.08218, 2017
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