Yao Wang
Yao Wang
Verified email at xjtu.edu.cn
Cited by
Cited by
L1/2 regularization
Z Xu, H Zhang, Y Wang, X Chang, Y Liang
Science China Information Sciences 53 (6), 1159-1169, 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
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
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
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 Automatica Sinica. 2012a 38 (7), 1225-1228, 2012
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
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
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
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
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
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
Restricted p-isometry properties of nonconvex block-sparse compressed sensing
Y Wang, J Wang, Z Xu
Signal Processing 104, 188-196, 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
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
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
Divide and conquer local average regression
X Chang, SB Lin, Y Wang
Electronic Journal of Statistics 11 (1), 1326-1350, 2017
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
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
Sparse recovery: from vectors to tensors
Y Wang, D Meng, M Yuan
National Science Review 5 (5), 756-767, 2018
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
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