| L1/2 regularization Z Xu, H Zhang, Y Wang, X Chang, Y Liang Science China Information Sciences 53 (6), 1159-1169, 2010 | 452 | 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 | 324 | 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 | 176 | 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 | 165 | 2019 |
| 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 | 164 | 2014 |
| 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 | 160 | 2016 |
| Representative of L1/2 regularization among Lq Lq Lq (0< q 1) regularizations: an experimental study based on phase diagram ZB Xu, HL Guo, Y Wang, H Zhang Acta Autom Sin 38 (7), 1225-1228, 2012 | 141 | 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 | 93* | 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 | 85 | 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 | 73 | 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 | 69 | 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 | 68 | 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 | 64* | 2018 |
| On recovery of block-sparse signals via mixed l 2/lq (0< q≤ 1) norm minimization Y Wang, J Wang, Z Xu EURASIP Journal on Advances in Signal Processing 2013 (1), 1-17, 2013 | 56 | 2013 |
| 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 | 49 | 2015 |
| Restricted p-isometry properties of nonconvex block-sparse compressed sensing Y Wang, J Wang, Z Xu Signal Processing 104, 188-196, 2014 | 47 | 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 | 46 | 2015 |
| Sparse recovery: from vectors to tensors Y Wang, D Meng, M Yuan National Science Review 5 (5), 756-767, 2018 | 42 | 2018 |
| Divide and conquer local average regression X Chang, SB Lin, Y Wang | 42 | 2017 |
| Robust tensor factorization with unknown noise X Chen, Z Han, Y Wang, Q Zhao, D Meng, Y Tang proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 37 | 2016 |
