| 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 | 248 | 2019 |
| Is attention better than matrix decomposition? Z Geng, MH Guo, H Chen, X Li, K Wei, Z Lin ICLR, 2021 | 186 | 2021 |
| Normalized iterative hard thresholding for matrix completion J Tanner, K Wei SIAM Journal on Scientific Computing 35 (5), S104-S125, 2013 | 186 | 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 | 176 | 2016 |
| Low rank matrix completion by alternating steepest descent methods J Tanner, K Wei Applied and Computational Harmonic Analysis 40 (2), 417-429, 2016 | 158 | 2016 |
| Solving systems of phaseless equations via Kaczmarz methods: A proof of concept study K Wei Inverse Problems 31 (12), 125008, 2015 | 129 | 2015 |
| 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 | 113 | 2019 |
| CGIHT: Conjugate Gradient Iterative Hard Thresholding for Compressed Sensing and Matrix Completion JD Blanchard, J Tanner, K Wei Information and Inference: A Journal of IMA 4 (4), 289-327, 2015 | 113 | 2015 |
| Riemannian proximal gradient methods W Huang, K Wei Mathematical Programming 194 (1), 371-413, 2022 | 103 | 2022 |
| Accelerated alternating projections for robust principal component analysis HQ Cai, JF Cai, K Wei Journal of Machine Learning Research 20 (20), 1-33, 2019 | 89 | 2019 |
| Guarantees of Riemannian optimization for low rank matrix completion K Wei, JF Cai, TF Chan, S Leung Inverse Problem and Imaging 14 (2), 233-265, 2020 | 82* | 2020 |
| Spectral compressed sensing via projected gradient descent JF Cai, T Wang, K Wei SIAM Journal on Optimization 28 (3), 2625-2653, 2018 | 60 | 2018 |
| Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing JD Blanchard, J Tanner, K Wei IEEE Transactions on Signal Processing 63 (2), 528-537, 2015 | 60 | 2015 |
| 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 | 54 | 2020 |
| An extension of fast iterative shrinkagethresholding algorithm to Riemannian optimization for sparse principal component analysis W Huang, K Wei Numerical Linear Algebra with Applications 29 (1), 2049, 2022 | 51* | 2022 |
| 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 | 30 | 2019 |
| Fast iterative hard thresholding for compressed sensing K Wei IEEE Signal Processing Letters 22 (5), 593-597, 2015 | 24 | 2015 |
| Exploiting the structure effectively and efficiently in low-rank matrix recovery JF Cai, K Wei Handbook of Numerical Analysis 19, 21-51, 2018 | 23 | 2018 |
| Solving systems of phaseless equations via Riemannian optimization with optimal sampling complexity JF Cai, K Wei Journal of Computational Mathematics, 2022 | 22* | 2022 |
| New region force for variational models in image segmentation and high dimensional data clustering K Wei, K Yin, XC Tai, TF Chan Annals of Mathematical Sciences and Applications 3 (1), 255-286, 2018 | 15 | 2018 |
Jian-Feng CaiProfessor of Mathematics, Hong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
