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Xiongjun Zhang
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2020 – today
- 2024
- [j21]Sijia Xia, Duo Qiu, Xiongjun Zhang:
Tensor factorization via transformed tensor-tensor product for image alignment. Numer. Algorithms 95(3): 1251-1289 (2024) - 2023
- [j20]Tianchi Liao, Zhebin Wu, Chuan Chen, Zibin Zheng, Xiongjun Zhang:
Tensor completion via convolutional sparse coding with small samples-based training. Pattern Recognit. 141: 109624 (2023) - [j19]Ben-Zheng Li, Xi-Le Zhao, Xiongjun Zhang, Teng-Yu Ji, Xinyu Chen, Michael K. P. Ng:
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion. SIAM J. Imaging Sci. 16(3): 1370-1397 (2023) - [j18]Yao Li, Duo Qiu, Xiongjun Zhang:
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery. IEEE Trans. Big Data 9(5): 1288-1301 (2023) - 2022
- [j17]Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji, Xiongjun Zhang, Ting-Zhu Huang:
Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion. J. Sci. Comput. 92(3): 83 (2022) - [j16]Xiongjun Zhang, Michael K. Ng:
Robust tensor train component analysis. Numer. Linear Algebra Appl. 29(1) (2022) - [j15]Xiongjun Zhang, Michael K. Ng:
Low Rank Tensor Completion With Poisson Observations. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4239-4251 (2022) - [j14]Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tensor Factorization and Completion With Noisy Observations. IEEE Trans. Inf. Theory 68(4): 2551-2572 (2022) - [i7]Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tucker Decomposition and Completion under Noisy Observations. CoRR abs/2208.08287 (2022) - [i6]Sijia Xia, Duo Qiu, Xiongjun Zhang:
Tensor Factorization via Transformed Tensor-Tensor Product for Image Alignment. CoRR abs/2212.05719 (2022) - 2021
- [j13]Duo Qiu, Minru Bai, Michael K. Ng, Xiongjun Zhang:
Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization. Neurocomputing 435: 197-215 (2021) - [j12]Chuan Chen, Zhebin Wu, Zitai Chen, Zibin Zheng, Xiongjun Zhang:
Auto-weighted robust low-rank tensor completion via tensor-train. Inf. Sci. 567: 100-115 (2021) - [j11]Duo Qiu, Minru Bai, Michael K. Ng, Xiongjun Zhang:
Robust Low Transformed Multi-Rank Tensor Methods for Image Alignment. J. Sci. Comput. 87(1): 24 (2021) - [j10]Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan:
Orthogonal Nonnegative Tucker Decomposition. SIAM J. Sci. Comput. 43(1): B55-B81 (2021) - [i5]Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji, Xiongjun Zhang, Ting-Zhu Huang:
Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion. CoRR abs/2110.08774 (2021) - 2020
- [j9]Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael K. Ng, Xiongjun Zhang:
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. Neurocomputing 413: 397-409 (2020) - [j8]Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
Robust tensor completion using transformed tensor singular value decomposition. Numer. Linear Algebra Appl. 27(3) (2020) - [j7]Michael K. Ng, Xiongjun Zhang, Xi-Le Zhao:
Patched-tube unitary transform for robust tensor completion. Pattern Recognit. 100: 107181 (2020) - [i4]Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations. CoRR abs/2007.10626 (2020) - [i3]Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
On O( max {n1, n2} log ( max {n1, n2} n3)) Sample Entries for n1 × n2 × n3 Tensor Completion via Unitary Transformation. CoRR abs/2012.08784 (2020)
2010 – 2019
- 2019
- [j6]Xiongjun Zhang, Michael K. Ng:
A Fast Algorithm for Solving Linear Inverse Problems with Uniform Noise Removal. J. Sci. Comput. 79(2): 1214-1240 (2019) - [j5]Xiongjun Zhang, Michael K. Ng:
A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion. SIAM J. Imaging Sci. 12(2): 1231-1273 (2019) - [j4]Xiongjun Zhang:
A Nonconvex Relaxation Approach to Low-Rank Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1659-1671 (2019) - [i2]Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
Robust Tensor Completion Using Transformed Tensor SVD. CoRR abs/1907.01113 (2019) - [i1]Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan:
Orthogonal Nonnegative Tucker Decomposition. CoRR abs/1910.09979 (2019) - 2018
- [j3]Xiongjun Zhang, Michael K. Ng, Minru Bai:
A Fast Algorithm for Deconvolution and Poisson Noise Removal. J. Sci. Comput. 75(3): 1535-1554 (2018) - [c2]JunJun Pan, Michael K. Ng, Xiongjun Zhang:
Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization. ICPR 2018: 459-464 - [c1]Duo Qiu, Hu Zhu, Xiongjun Zhang:
An Implementable Accelerated Alternating Direction Method of Multipliers for Low-Rank Tensor Completion. iThings/GreenCom/CPSCom/SmartData 2018: 537-541 - 2017
- [j2]Xiongjun Zhang, Minru Bai, Michael K. Ng:
Nonconvex-TV Based Image Restoration with Impulse Noise Removal. SIAM J. Imaging Sci. 10(3): 1627-1667 (2017) - 2016
- [j1]Minru Bai, Xiongjun Zhang, Guyan Ni, Chunfeng Cui:
An Adaptive Correction Approach for Tensor Completion. SIAM J. Imaging Sci. 9(3): 1298-1323 (2016)
Coauthor Index
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