L1/2 regularization Z Xu, H Zhang, Y Wang, X Chang, Y Liang Science China Information Sciences 53 (6), 1159-1169, 2010 | 465 | 2010 |
Hyperspectral image restoration via total variation regularized low-rank tensor decomposition Y Wang, J Peng, Q Zhao, D Meng, Y Leung, XL Zhao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 359 | 2018 |
A novel tensor-based video rain streaks removal approach via utilizing discriminatively intrinsic priors TX Jiang, TZ Huang, XL Zhao, LJ Deng, Y Wang Proceedings of the ieee conference on computer vision and pattern …, 2017 | 185 | 2017 |
Fastderain: A novel video rain streak removal method using directional gradient priors TX Jiang, TZ Huang, XL Zhao, LJ Deng, Y Wang IEEE Transactions on Image Processing 28 (4), 2089-2102, 2019 | 174 | 2019 |
Total variation regularized tensor RPCA for background subtraction from compressive measurements W Cao, Y Wang, J Sun, D Meng, C Yang, A Cichocki, Z Xu IEEE Transactions on Image Processing 25 (9), 4075-4090, 2016 | 171 | 2016 |
Regularization: Convergence of Iterative Half Thresholding Algorithm J Zeng, S Lin, Y Wang, Z Xu IEEE Transactions on Signal Processing 62 (9), 2317-2329, 2014 | 168 | 2014 |
Representative of L1/2 regularization among Lq (0< q≤ 1) regularizations: an experimental study based on phase diagram XU Zong-Ben, G Hai-Liang, W Yao, H Zhang Acta Automatica Sinica 38 (7), 1225-1228, 2012 | 158 | 2012 |
Enhanced 3DTV regularization and its applications on HSI denoising and compressed sensing J Peng, Q Xie, Q Zhao, Y Wang, Y Leung, D Meng IEEE Transactions on Image Processing 29, 7889 - 7903, 2020 | 109* | 2020 |
Low-rank matrix factorization under general mixture noise distributions X Cao, Y Chen, Q Zhao, D Meng, Y Wang, D Wang, Z Xu Proceedings of the IEEE international conference on computer vision, 1493-1501, 2015 | 90 | 2015 |
Deep plug-and-play prior for low-rank tensor completion XL Zhao, WH Xu, TX Jiang, Y Wang, MK Ng Neurocomputing 400, 137-149, 2020 | 83 | 2020 |
Compressive sensing of hyperspectral images via joint tensor tucker decomposition and weighted total variation regularization Y Wang, L Lin, Q Zhao, T Yue, D Meng, Y Leung IEEE Geoscience and Remote Sensing Letters 14 (12), 2457-2461, 2017 | 78 | 2017 |
Hyperspectral image super-resolution via nonlocal low-rank tensor approximation and total variation regularization Y Wang, X Chen, Z Han, S He Remote Sensing 9 (12), 1286, 2017 | 73 | 2017 |
A Generalized Model for Robust Tensor Factorization with Noise Modeling by Mixture of Gaussians X Chen, Z Han, Y Wang, Q Zhao, D Meng, L Lin, Y Tang IEEE Transactions on Neural Networks and Learning Systems, 1-14, 2018 | 67* | 2018 |
On recovery of block-sparse signals via mixed l 2 /l q (0 < q ≤ 1) norm minimization Y Wang, J Wang, Z Xu EURASIP Journal on Advances in Signal Processing 2013, 1-17, 2013 | 59 | 2013 |
Restricted p-isometry properties of nonconvex block-sparse compressed sensing Y Wang, J Wang, Z Xu Signal Processing 104, 188-196, 2014 | 51 | 2014 |
Folded-concave penalization approaches to tensor completion W Cao, Y Wang, C Yang, X Chang, Z Han, Z Xu Neurocomputing 152, 261-273, 2015 | 50 | 2015 |
A novel sparsity measure for tensor recovery Q Zhao, D Meng, X Kong, Q Xie, W Cao, Y Wang, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 271-279, 2015 | 50 | 2015 |
Deep generative learning via variational gradient flow Y Gao, Y Jiao, Y Wang, Y Wang, C Yang, S Zhang ICML, 2019 | 42 | 2019 |
Divide and conquer local average regression X Chang, SB Lin, Y Wang | 42 | 2017 |
Sparse recovery: from vectors to tensors Y Wang, D Meng, M Yuan National Science Review 5 (5), 756-767, 2018 | 41 | 2018 |