Xiongjun Zhang
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Papers

Preprints

  1. Xiongjun Zhang and Michael K. Ng. Sparse Nonnegative Tucker Decomposition and Completion under Noisy Observations, 2022. arXiv

Publications

  1. Duo Qiu, Michael K. Ng, and Xiongjun Zhang. Low-Rank Matrix Completion with Poisson Observations via Nuclear Norm and Total Variation Constraints, Journal of Computational Mathematics, accepted, 2023.

  2. Sijia Xia, Duo Qiu, and Xiongjun Zhang. Tensor Factorization via Transformed Tensor-Tensor Product for Image Alignment, Numerical Algorithms, 95(3): 1251-1289, 2024. Code

  3. Ben-Zheng Li, Xi-Le Zhao, Xiongjun Zhang, Teng-Yu Ji, Xinyu Chen, and Michael K. Ng. A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion, SIAM Journal on Imaging Sciences, 16(3):1370-1397, 2023.

  4. Yao Li, Duo Qiu, and Xiongjun Zhang. Robust Low Transformed Multi-Rank Tensor Completion with Deep Prior Regularization for Multi-Dimensional Image Recovery, IEEE Transactions on Big Data, 9(5):1288-1301, 2023. Code

  5. Xiongjun Zhang, Jin Wu, and Michael K. Ng. Multilinear Multitask Learning by Transformed Tensor Singular Value Decomposition, Machine Learning with Applications, 13:100478, 2023. Code

  6. Tianchi Liao, Zhebin Wu, Chuan Chen, Zibin Zheng, and Xiongjun Zhang. Tensor Completion via Convolutional Sparse Coding with Small Samples-Based Training, Pattern Recognition, 141:109624, 2023.

  7. Guang-Jing Song, Michael K. Ng, and Xiongjun Zhang. Tensor Completion by Multi-Rank via Unitary Transformation, Applied and Computational Harmonic Analysis, 65:348-373, 2023.

  8. Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji, Xiong-Jun Zhang, and Ting-Zhu Huang. Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion, Journal of Scientific Computing, 92(3):Article number: 83, 2022. Code

  9. Xiongjun Zhang and Michael K. Ng. Low Rank Tensor Completion with Poisson Observations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(8):4239-4251, 2022. Code

  10. Xiongjun Zhang and Michael K. Ng. Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations, IEEE Transactions on Information Theory, 68(4):2551-2572, 2022.

  11. Xiongjun Zhang and Michael K. Ng. Robust Tensor Train Component Analysis, Numerical Linear Algebra with Applications, 29(1):e2403, 2022.

  12. Chuan Chen, Zhe-Bin Wu, Zi-Tai Chen, Zi-Bin Zheng, and Xiong-Jun Zhang. Auto-weighted Robust Low-Rank Tensor Completion via Tensor-Train, Information Sciences, 567:100-115, 2021.

  13. Duo Qiu, Minru Bai, Michael K. Ng, and Xiongjun Zhang. Robust Low Transformed Multi-Rank Tensor Methods for Image Alignment, Journal of Scientific Computing, 87(1):Article number: 24, 2021. Code

  14. Duo Qiu, Minru Bai, Michael K. Ng, and Xiongjun Zhang. Nonlocal Robust Tensor Recovery with Nonconvex Regularization, Inverse Problems, 37(3):035001, 2021.

  15. Duo Qiu, Minru Bai, Michael K. Ng, and Xiongjun Zhang. Robust Low-Rank Tensor Completion via Transformed Tensor Nuclear Norm with Total Variation Regularization, Neurocomputing, 435:197-215, 2021. Code, PDF

  16. Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, and Hong Yan. Orthogonal Nonnegative Tucker Decomposition, SIAM Journal on Scientific Computing, 43(1):B55-B81, 2021.

  17. Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael K. Ng, and Xiong-Jun Zhang. Fast Algorithm with Theoretical Guarantees for Constrained Low-Tubal-Rank Tensor Recovery in Hyperspectral Images Denoising, Neurocomputing, 413:397-409, 2020.

  18. Guangjing Song, Michael K. Ng, and Xiongjun Zhang. Robust Tensor Completion Using Transformed Tensor Singular Value Decomposition, Numerical Linear Algebra with Applications, 27(3):e2299, 2020. Code

  19. Michael K. Ng, Xiongjun Zhang, and Xi-Le Zhao. Patched-Tubes Unitary Transform for Robust Tensor Completion, Pattern Recognition, 100:107181, 2020.

  20. Xiongjun Zhang and Michael K. Ng. A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion, SIAM Journal on Imaging Sciences, 12(2):1231-1273, 2019.

  21. Xiongjun Zhang. A Nonconvex Relaxation Approach to Low-Rank Tensor Completion, IEEE Transactions on Neural Networks and Learning Systems, 30(6):1659-1671, 2019. Code

  22. Xiongjun Zhang and Michael K. Ng. A Fast Algorithm for Solving Linear Inverse Problems with Uniform Noise Removal, Journal of Scientific Computing, 79(2):1214-1240, 2019.

  23. Junjun Pan, Michael K. Ng, and Xiongjun Zhang. Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization, 2018 24th International Conference on Pattern Recognition, 459-464, 2018.

  24. Xiongjun Zhang, Michael K. Ng, and Minru Bai. A Fast Algorithm for Deconvolution and Poisson Noise Removal, Journal of Scientific Computing, 75(3):1535-1554, 2018.

  25. Xiongjun Zhang, Minru Bai, and Michael K. Ng. Nonconvex-TV Based Image Restoration with Impulse Noise Removal, SIAM Journal on Imaging Sciences, 10(3):1627-1667, 2017. Code

  26. Duo Qiu, Xiongjun Zhang, and Lei Zhang. Distributed Optimization Operation Strategy for Charging Stations Under Demand Response, International Journal of Emerging Electric Power Systems, 18(4):20160278, 2017.

  27. Xiongjun Zhang, Bahram Javidi, and Michael K. Ng. Automatic regularization parameter selection by generalized cross-validation for total variational Poisson noise removal, Applied Optics. 56(9):D47-D51, 2017.

  28. Minru Bai, Xiongjun Zhang, Guyan Ni, and Chunfeng Cui. An Adaptive Correction Approach for Tensor Completion, SIAM Journal on Imaging Sciences, 9(3):1298-1323, 2016.

  29. Minru Bai, Xiongjun Zhang, and Qianqian Shao. Adaptive correction procedure for TVL1 image deblurring under impulse noise, Inverse Problems, 32(8):085004, 2016. This paper was selected into Highlights of 2016 in Invserse Problems.