Publications

All papers are listed below in reverse chronological order in which they appeared online.

2025

Zhi-Long Han, Ting-Zhu Huang^*, Xi-Le Zhang^*, Hao Zhang, "Frequency-Aware Tensor Network Decomposition for Multi-Dimensional Image Recovery", Journal of Scientific Computing, 2025: 105: 21 [PDF]
Jin-Yu Xie, Hao Zhang^*, Xi-Le Zhao, Yi-Si Luo, "IRTF: A New Tensor Factorization for Irregular Multidimensional Data Recovery", Knowledge-Based Systems, 2025, 33: 114372 [PDF]
Hao Zhang, Ting-Zhu Huang, Xi-Le Zhao, Lu-Bin Cui, Michael K. Ng, "Slice-Wise Irregular Tensor Decomposition and Its Application", Journal of Scientific Computing, 2025, 104: 48 [PDF]

Hao Zhang, Ting-Zhu Huang^*, Xi-Le Zhao^*, Shuqin Zhang, Jin-Yu Xie, Tai-Xiang Jiang, Michael K. Ng, "Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery", ACM Transactions on Knowledge Discovery from Data, 2025, 19(1): Art. no. 1-23 [PDF]
Zhi-Long Han, Ting-Zhu Huang^*, Xi-Le Zhao^*, Hao Zhang,, "Nested Fully-Connected Tensor Network Decomposition for Multi-Dimensional Visual Data Recovery", EEE Transactions on Circuits and Systems for Video Technology, 2024, 34(10): 10092-10106 [PDF]
Wei-Hao Wu, Ting-Zhu Huang^*, Xi-Le Zhao^*, Hao Zhang, Zhi-Long Han, "Nonlinear Hierarchical Matrix Factorization-Based Tensor Ring Approximation for Multi-dimensional Image Recovery", Journal of Scientific Computing, 2024, 101: 31 [PDF]
Hao Zhang, Ting-Zhu Huang, Xi-Le Zhao^*, Maolin Che, "A Fast Algorithm for Rank-(L, M, N) Block Term Decomposition of Multi-Dimensional Data", Journal of Scientific Computing, 2024, 101: 16 [PDF]

Zhi-Long Han, Ting-Zhu Huang^*, Xi-Le Zhao^*, Hao Zhang, Yun-Yang Liu, "Multi-Dimensional Data Recovery via Feature-Based Fully-Connected Tensor Network Decomposition", IEEE Transactions on Big Data, 2023, 10(4): 386-399 [PDF]
Wei-Hao Wu, Ting-Zhu Huang^*, Hao Zhang^*, Jian-Li Wang, Xi-Le Zhao, "Untrained Low-Rank Neural Network Prior for Multi-Dimensional Image Recovery", IEEE Signal Processing Letters, 2023, 30: 1647–1651 [PDF]
Chuan Wang, Xi-Le Zhao^*, Hao Zhang, Ben-Zheng Li, "Hyperspectral Image Mixed Noise Removal via Nonlinear Transform-Based Block-Term Tensor Decomposition", IEEE Geoscience and Remote Sensing Letters, 2023, 20: Art. no. 5502605 [PDF]
Hao Zhang, Ting-Zhu Huang^*, Xi-Le Zhao^*, Wei He, Jae Kyu Choi, Yu-Bang Zheng, "Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain", IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: Art. no. 5502313 [PDF]
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng^*, "Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion", IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(2): 932–946 [PDF]

Cheng-Yao lyu, Xi-Le Zhao^*, Hao Zhang, Beng-Zheng Li, "Multi-Dimensional Image Recovery via Fully-Connected Tensor Network Decomposition Under the Learnable Transforms", Journal of Scientific Computing, 2022, 93: 49 [PDF]
Hao Zhang, Ting-Zhu Huang^*, Xi-Le Zhao^*, "A Fast Sketching-Based Algorithm for Rank-(L,L,1) Block Term Decomposition", Applied Mathematics Letters, 2022, 133: 108252 [PDF]

Hao Zhang, Xi-Le Zhao^*, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang, "Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery", IEEE Transactions on Cybernetics, 2022, 52(12): 13395–13410 [PDF]

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