| 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 | 227 | 2019 |
| Normalized iterative hard thresholding for matrix completion J Tanner, K Wei SIAM Journal on Scientific Computing 35 (5), S104-S125, 2013 | 168 | 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 | 150 | 2016 |
| Low rank matrix completion by alternating steepest descent methods J Tanner, K Wei Oxford Numerical Analysis Group Preprint, 2014 | 143 | 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 | 125 | 2021 |
| Solving systems of phaseless equations via Kaczmarz methods: A proof of concept study K Wei arXiv preprint arXiv:1502.01822, 2015 | 124 | 2015 |
| CGIHT: Conjugate Gradient Iterative Hard Thresholding for Compressed Sensing and Matrix Completion JD Blanchard, J Tanner, K Wei | 104 | 2014 |
| 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 | 96 | 2019 |
| Riemannian proximal gradient methods W Huang, K Wei Mathematical Programming 194 (1), 371-413, 2022 | 78 | 2022 |
| Guarantees of Riemannian optimization for low rank matrix completion K Wei, JF Cai, TF Chan, S Leung arXiv preprint arXiv:1603.06610, 2016 | 71 | 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 | 67 | 2019 |
| 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 | 53 | 2020 |
| Spectral compressed sensing via projected gradient descent JF Cai, T Wang, K Wei SIAM Journal on Optimization 28 (3), 2625-2653, 2018 | 52 | 2018 |
| Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing JD Blanchard, J Tanner, K Wei | 51 | 2014 |
| 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 | 45* | 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 | 28 | 2019 |
| Solving systems of phaseless equations via Riemannian optimization with optimal sampling complexity JF Cai, K Wei arXiv preprint arXiv:1809.02773, 2018 | 23 | 2018 |
| Fast iterative hard thresholding for compressed sensing K Wei | 23 | 2014 |
| Exploiting the structure effectively and efficiently in low-rank matrix recovery JF Cai, K Wei Handbook of Numerical Analysis 19, 21-51, 2018 | 17 | 2018 |
| Primal-dual method for continuous max-flow approaches K Wei, X Tai, T Chan, S Leung Proceedings of 5th ECCOMAS Conference on Computational Vision and Medical …, 2016 | 15 | 2016 |
Jian-Feng CaiProfessor of Mathematics, Hong Kong University of Science and Technologyust.hk의 이메일 확인됨
