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Tian-Hui Ma
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2020 – today
- 2022
- [j23]Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma:
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence. Signal Process. 194: 108425 (2022) - [j22]Yun-Yang Liu, Xi-Le Zhao
, Yu-Bang Zheng
, Tian-Hui Ma
, Hongyan Zhang
:
Hyperspectral Image Restoration by Tensor Fibered Rank Constrained Optimization and Plug-and-Play Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j21]Xi-Le Zhao
, Jinghua Yang
, Tian-Hui Ma
, Tai-Xiang Jiang
, Michael K. Ng
, Ting-Zhu Huang
:
Tensor Completion via Complementary Global, Local, and Nonlocal Priors. IEEE Trans. Image Process. 31: 984-999 (2022) - 2021
- [j20]Jie Lin
, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, Yu-Bang Zheng:
A novel non-convex low-rank tensor approximation model for hyperspectral image restoration. Appl. Math. Comput. 408: 126342 (2021) - [j19]Tian-Hui Ma
, Zongben Xu, Deyu Meng
, Xi-Le Zhao
:
Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1628-1644 (2021) - 2020
- [j18]Jinghua Yang, Xi-Le Zhao
, Teng-Yu Ji, Tian-Hui Ma, Ting-Zhu Huang
:
Low-rank tensor train for tensor robust principal component analysis. Appl. Math. Comput. 367 (2020) - [j17]Meng Ding, Ting-Zhu Huang, Tian-Hui Ma, Xi-Le Zhao, Jinghua Yang:
Cauchy noise removal using group-based low-rank prior. Appl. Math. Comput. 372 (2020) - [j16]Yu-Bang Zheng
, Ting-Zhu Huang
, Xi-Le Zhao, Tai-Xiang Jiang
, Teng-Yu Ji
, Tian-Hui Ma:
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. Inf. Sci. 532: 170-189 (2020) - [j15]Jinghua Yang, Xi-Le Zhao
, Tian-Hui Ma, Yong Chen, Ting-Zhu Huang
, Meng Ding:
Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization. J. Comput. Appl. Math. 363: 124-144 (2020) - [j14]Tian-Hui Ma, Zongben Xu, Deyu Meng:
Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling. Remote. Sens. 12(8): 1278 (2020) - [j13]Yu-Bang Zheng
, Ting-Zhu Huang
, Xi-Le Zhao
, Tai-Xiang Jiang
, Tian-Hui Ma
, Teng-Yu Ji
:
Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization. IEEE Trans. Geosci. Remote. Sens. 58(1): 734-749 (2020) - [i3]Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Michael K. Ng, Tian-Hui Ma:
Tensor train rank minimization with nonlocal self-similarity for tensor completion. CoRR abs/2004.14273 (2020) - [i2]Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma:
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence. CoRR abs/2005.09674 (2020)
2010 – 2019
- 2019
- [j12]Jian-Li Wang, Ting-Zhu Huang, Tian-Hui Ma, Xi-Le Zhao, Yong Chen:
A sheared low-rank model for oblique stripe removal. Appl. Math. Comput. 360: 167-180 (2019) - [j11]Jinghua Yang, Xi-Le Zhao
, Jin-Jin Mei, Si Wang
, Tian-Hui Ma, Ting-Zhu Huang
:
Total variation and high-order total variation adaptive model for restoring blurred images with Cauchy noise. Comput. Math. Appl. 77(5): 1255-1272 (2019) - [j10]Yun-Jia Sun
, Ting-Zhu Huang
, Tian-Hui Ma, Yong Chen:
Remote Sensing Image Stripe Detecting and Destriping Using the Joint Sparsity Constraint with Iterative Support Detection. Remote. Sens. 11(6): 608 (2019) - [j9]Wen-Hao Xu, Xi-Le Zhao
, Teng-Yu Ji, Jiaqing Miao, Tian-Hui Ma, Si Wang
, Ting-Zhu Huang:
Laplace function based nonconvex surrogate for low-rank tensor completion. Signal Process. Image Commun. 73: 62-69 (2019) - [j8]Ye-Tao Wang, Xi-Le Zhao
, Tai-Xiang Jiang
, Liang-Jian Deng, Tian-Hui Ma, Yue-Tian Zhang, Ting-Zhu Huang:
A total variation and group sparsity based tensor optimization model for video rain streak removal. Signal Process. Image Commun. 73: 96-108 (2019) - [j7]Jian-Li Wang
, Ting-Zhu Huang
, Xi-Le Zhao
, Jie Huang
, Tian-Hui Ma
, Yu-Bang Zheng
:
Reweighted Block Sparsity Regularization for Remote Sensing Images Destriping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4951-4963 (2019) - 2018
- [i1]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma:
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. CoRR abs/1812.00688 (2018) - 2017
- [j6]Tai-Xiang Jiang, Ting-Zhu Huang
, Xi-Le Zhao, Tian-Hui Ma
:
Patch-Based Principal Component Analysis for Face Recognition. Comput. Intell. Neurosci. 2017: 5317850:1-5317850:9 (2017) - [j5]Tian-Hui Ma, Ting-Zhu Huang, Xi-Le Zhao, Yifei Lou
:
Image deblurring with an inaccurate blur kernel using a group-based low-rank image prior. Inf. Sci. 408: 213-233 (2017) - [j4]Yaru Fan, Ting-Zhu Huang
, Tian-Hui Ma, Xi-Le Zhao:
Cartoon-texture image decomposition via non-convex low-rank texture regularization. J. Frankl. Inst. 354(7): 3170-3187 (2017) - [j3]Tian-Hui Ma, Yifei Lou
, Ting-Zhu Huang:
Truncated l1-2 Models for Sparse Recovery and Rank Minimization. SIAM J. Imaging Sci. 10(3): 1346-1380 (2017) - [c1]Tian-Hui Ma, Yifei Lou, Ting-Zhu Huang, Xi-Le Zhao:
Group-based truncated l1-2 model for image inpainting. ICIP 2017: 2079-2083 - 2016
- [j2]Teng-Yu Ji
, Ting-Zhu Huang
, Xi-Le Zhao
, Tian-Hui Ma, Gang Liu:
Tensor completion using total variation and low-rank matrix factorization. Inf. Sci. 326: 243-257 (2016) - [j1]Tian-Hui Ma, Ting-Zhu Huang
, Xi-Le Zhao
:
Group-based image decomposition using 3-D cartoon and texture priors. Inf. Sci. 328: 510-527 (2016)
Coauthor Index
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