📝 Preprints

• Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Ben-Zheng Li, “Parameterized Convolutional Tensor Representation for Spatio-Irregular Multi-Dimensional Data Recovery,” submitted.

📄 Publications

• Yu-Bang Zheng, Jian-Li Wang, Xi-Le Zhao, “Hyperspectral Image Denoising Based on Tensor Models,” Book Chapter In Machine-Learning-Based Hyperspectral Image Processing, Bing Zhang (Book Editor), Wiley, 2026. [Website]

2026

• Yu-Bang Zheng, Xi-Le Zhao*, Heng-Chao Li*, Junhua Zeng, Chao Li, Qibin Zhao, Ting-Zhu Huang, Qing Zhu, “A Structure-Revealing Tensor Network Paradigm and Its Applications,” IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2026.3735826, 2026.

• Zhi-Wei Shi, Yu-Bang Zheng*, Heng-Chao Li, “Self-Attention Driven Tensor Representation for High-Order Data Recovery,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 26399-26408, 2026. [PDF] [Poster] (Poster-Highlight)

• Tian-Yu Ma, Heng-Chao Li, Yu-Bang Zheng*, Lianru Gao, Qian Du, “Low-Rank Tensor Representation Learning Network for Robust Hyperspectral Image Classification against Adversarial Attacks,” IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2026.3727195, 2026. [Website]

• Zhi-Wei Shi, Yu-Bang Zheng, Heng-Chao Li*, Antonio Plaza, “Multidimensional Image Reconstruction via Deep Nonlinear Low-Rank Tensor Decomposition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, no. 6, pp. 8260-8273, 2026. [Website] [Code]

• Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Teng-Yu Ji, “Neural Operator-Based Continuous Tensor Representation for Thick Cloud Removal in Multi-Resolution Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2026.3731463, 2026. [Website]

• Zhe-Min Wei, Yu-Bang Zheng, Heng-Chao Li*, Lianru Gao, “Latent Diffusion Prior Enhanced Frequency-Aware Deep Unfolding Network for Hyperspectral Image Denoising,” IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2026.3731221, 2026. [Website]

• Bin Xiao, Yu-Bang Zheng, Heng-Chao Li*, “High-Order Tensor Completion via A Learnable T-product-Induced Fully-Connected Tensor Network Decomposition,” Pattern Recognition, vol. 180, pp. 114332, 2026. [Website]

• Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Ting-Zhu Huang, “Proximal Interaction-Driven Rank-(Lr,Lr,1) Block-Term Decomposition for Multimedia Data Recovery,” IEEE Transactions on Multimedia, doi: 10.1109/TMM.2026.3721314, 2026. [Website]

• Jia-Jie Yin, Heng-Chao Li*, Yu-Bang Zheng, Xiong-Fei Geng, Jie Pan, “DNN-Aided Low-Rank and Sparse Decomposition Model for Infrared Small Target Detection,” Pattern Recognition, vol. 175, pp. 113070, 2026. [Website]

• Sheng Liu, Xi-Le Zhao*, Yu-Bang Zheng, “Block Customized Topology Term Decomposition for High-Dimensional Image Reconstruction,” IEEE Transactions on Image Processing, vol. 35, pp. 4558-4570, 2026. [Website]

• Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Teng-Yu Ji, Ben-Zheng Li, “Dynamic Low-Rank Tensor Decomposition for Video Applications,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, no. 1, pp. 449-462, 2026. [Website]

• Yu-Le Wei, Heng-Chao Li*, Jian-Li Wang, Yu-Bang Zheng, Jie Pan, Qian Du, “Multimodal Quaternion Representation Network for Multisource Remote Sensing Data Classification,” IEEE Transactions on Neural Networks and Learning Systems, vol. 37, no. 2, pp. 711-725, 2026. [Website]

2025

• Yu-Bang Zheng, Jia-Le Ma, Heng-Chao Li*, Zhi-Wei Shi, Qing Zhu, “Bilateral Tensor Ring Decomposition for Thick Cloud Removal in Multitemporal Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, art no. 5406215, pp. 1-15, 2025. [Website] [Code]

• Yu-Bang Zheng, Xi-Le Zhao*, Heng-Chao Li*, Chao Li, Ting-Zhu Huang, Qibin Zhao, “Tensor Network Decomposition for Data Recovery: Recent Advancements and Future Prospects,” Neural Networks, vol. 191, pp. 107808, 2025. [Website]

• Shi-Jun Yang, Yu-Bang Zheng*, Heng-Chao Li, Yong Chen, Qing Zhu, “Spectral–Temporal Consistency Prior for Cloud Removal From Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, art no. 5400212, pp. 1-12, 2025. [Website]

• Zhi-Wei Shi, Yu-Bang Zheng*, Yi Zhang, Heng-Chao Li, “Multidimensional Nonlinear Transform-Based Tensor Representation for High-Dimensional Image Reconstruction,” Pattern Recognition, vol. 168, pp. 111734, 2025. [Website] [Code]

• Chuan Wang, Xi-Le Zhao*, Yu-Bang Zheng, Ben-Zheng Li, Michael K. Ng, “Functional Tensor Singular Value Decomposition,” SIAM Journal on Scientific Computing, vol. 47, no. 4, pp. A2180-A2204, 2025. [Website]

• Tian-Yu Ma, Heng-Chao Li*, Yu-Bang Zheng, Qian Du, Antonio Plaza, “Fully Tensorized Lightweight ConvLSTM Neural Networks for Hyperspectral Image Classification,” IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 8, pp. 14213-14227, 2025. [Website]

• Wei-Hao Wu, Ting-Zhu Huang*, Xi-Le Zhao*, Xingwen Quan, Yu-Bang Zheng, Deyu Meng, “A Unified Sentinel-2 Imagery Thick Cloud Removal and Rescaling Framework From a Continuous Perspective,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, art no. 5525112, pp. 1-12, 2025. [Website]

• Teng-Yu Ji, Zirui Song*, Dong-Lin Sun*, Yu-Bang Zheng, “Multitemporal Thick Cloud Removal via Temporal Smoothness in Image and Gradient Domains,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, art no. 5645715, pp. 1-15, 2025. [Website]

• Wei-Jian Huang, Li Huang, Tai-Xiang Jiang*, Yu-Bang Zheng, Guisong Liu, “Efficient FCTN Decomposition with Structural Sparsity for Noisy Tensor Completion,” IEEE Transactions on Big Data, vol. 11, no. 6, pp. 3225-3239, 2025. [Website]

• Zhe-Min Wei, Heng-Chao Li*, Yu-Bang Zheng, Jian-Li Wang, Qian Du, “ULADiff: Unmixing-Guided Learnable Abundance-Latent Diffusion for Hyperspectral Image Denoising,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, art no. 5530015, pp. 1-15, 2025. [Website]

• Bin Xiao, Heng-Chao Li*, Rui Wang, Yu-Bang Zheng, “Fully-Connected Tensor Network Decomposition with Gradient Factors Regularization for Robust Tensor Completion,” Signal Processing, vol. 233, pp. 109933, 2025. [Website]

2024

• Yu-Bang Zheng, Xi-Le Zhao*, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang, “SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 26254-26263, 2024. [Website] [PDF] [Supplementary Material] [Poster] [Code] (Poster-Highlight, 11.9% of Accepted Papers)

• Jia-Jie Yin, Heng-Chao Li, Yu-Bang Zheng*, Gui Gao, Yuxin Hu, Ran Tao, “Spatial-Temporal Weighted and Regularized Tensor Model for Infrared Dim and Small Target Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, art no. 5005317, pp. 1-17, 2024. [Website]

• Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Ting-Zhu Huang, “Provable Stochastic Algorithm for Large-Scale Fully-Connected Tensor Network Decomposition,” Journal of Scientific Computing, vol. 98, art no. 16, pp. 1-27, 2024. [Website]

• Wen-Jie Zheng, Xiao-Xuan Bai, Yu-Bang Zheng, Ya-Ru Fan, Ting-Zhu Huang, Xi-Le Zhao*, “Feature-Domain Fidelity and Tensor Low-Rank Regularization for Cloud Removal in Remote Sensing Images,” IEEE International Geoscience and Remote Sensing Symposium, pp. 8274-8277, 2024. [Website]

• Yong Chen, Maolin Chen, Wei He, Jinshan Zeng, Min Huang, Yu-Bang Zheng, “Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, art no. 5506613, pp. 1-13, 2024. [Website] (ESI Highly Cited Paper)

2023

• Li-Yuan Li, Ting-Zhu Huang*, Yu-Bang Zheng*, Wen-Jie Zheng, Jie Lin, Guo-Cheng Wu, Xi-Le Zhao, “Thick Cloud Removal for Multitemporal Remote Sensing Images: When Tensor Ring Decomposition Meets Gradient Domain Fidelity,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, art no. 5512414, pp. 1-14, 2023. [Website]

• Yu-Le Wei, Yu-Bang Zheng*, Rui Wang, Heng-Chao Li, “Quaternion Convolutional Neural Network with EMAP Representation for Multisource Remote Sensing Data Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 20, art no. 5508805, pp. 1-5, 2023. [Website]

• Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Jie Lin, Lina Zhuang, Ting-Zhu Huang, “Spatial-Spectral-Temporal Connective Tensor Network Decomposition for Thick Cloud Removal,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 199, pp. 182-194, 2023. [Website] [Code]

• Yun-Yang Liu, Xi-Le Zhao*, Guang-Jin Song, Yu-Bang Zheng, Michael K. Ng, Ting-Zhu Huang, “Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem,” Inverse Problems and Imaging, 2024, vol. 18, no. 1, pp. 208-238, 2023. [Website]

• 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, vol. 61, art no. 5502313, pp. 1-13, 2023. [Website]

• Peng-Ling Wu, Xi-Le Zhao*, Meng Ding, Yu-Bang Zheng, Lu-Bin Cui, Ting-Zhu Huang, “Tensor Ring Decomposition-Based Model with Interpretable Gradient Factors Regularization for Tensor Completion,” Knowledge-Based Systems, vol. 259, pp. 110094, 2023. [Website]

• Peng-Ling Wu, Meng Ding*, Yu-Bang Zheng, “Spatiotemporal Traffic Data Imputation by Synergizing Low Tensor Ring Rank and Nonlocal Subspace Regularization,” IET Intelligent Transport Systems, vol. 17, pp. 1908–1923, 2023. [Website]

2022

• Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Qibin Zhao, “Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors,” Journal of Scientific Computing, vol. 92, art no. 8, pp. 1-35, 2022. [Website] [Code] (ESI Highly Cited Paper)

• Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng*, Zhi-Feng Pang, “Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Multispectral Image Inpainting,” IEEE Geoscience and Remote Sensing Letters, vol. 19, art no. 8025105, pp. 1-5, 2022. [Website] [Code]

• 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 Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5500717, pp. 1-17, 2022. [Website] [Code] (ESI Highly Cited Paper)

• Yu-Chun Miao, Xi-Le Zhao*, Xiao Fu*, Jian-Li Wang, Yu-Bang Zheng, “Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5513916, pp. 1-16, 2022. [Website]

• Wei-Hao Wu, Ting-Zhu Huang*, Xi-Le Zhao*, Jian-Li Wang, Yu-Bang Zheng, “Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5545514, pp. 1-14, 2022. [Website]

2021

• Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Qibin Zhao, Tai-Xiang Jiang, “Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021), vol. 35, no. 12, pp. 11071-11078, 2021. [Website] [Supplementary Material] [Slide] [Poster] [Code]

• Xin Li, Ting-Zhu Huang*, Xi-Le Zhao*, Teng-Yu Ji, Yu-Bang Zheng, Liang-Jian Deng, “Adaptive Total Variation and Second-Order Total Variation-Based Model for Low-Rank Tensor Completion,” Numerical Algorithms, vol. 86, pp. 1-24, 2021. [Website]

• Lin Guo, Xi-Le Zhao*, Xian-Ming Gu, Yong-Liang Zhao, Yu-Bang Zheng, Ting-Zhu Huang, “Three-Dimensional Fractional Total Variation Regularized Tensor Optimized Model for Image Deblurring,” Applied Mathematics and Computation, vol. 404, pp. 126224, 2021. [Website]

• 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,” Applied Mathematics and Computation, vol. 408, pp. 126342, 2021. [Website]

• Yisi Luo, Xi-Le Zhao*, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang, “Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Unsupervised Deep Image Prior,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 9435-9449, 2021. [Website]

2020

• 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 Transactions on Geoscience and Remote Sensing, vol. 58, no. 1, pp. 734-749, 2020. [Website] [Code] (ESI Highly Cited Paper)

• Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Yong Chen, Wei He, “Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 12, pp. 8450-8464, 2020. [Website] [Code] (2021川渝科技学术大会优秀论文一等奖)

• 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,” Information Sciences, vol. 532, pp. 170-189, 2020. [Website] [Code]

2019

• Yu-Bang Zheng, Ting-Zhu Huang*, Teng-Yu Ji, Xi-Le Zhao*, Tai-Xiang Jiang, Tian-Hui Ma, “Low-Rank Tensor Completion via Smooth Matrix Factorization,” Applied Mathematical Modelling, vol. 70, pp. 677-695, 2019. [Website] [Code]

• Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Tai-Xiang Jiang, Jie Huang, “Hyperspectral Image Denoising via Convex Low-Fibered-Rank Regularization,” in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, pp. 222-225. (Oral) [Website] [Slide] [Code]

• Xiao-Tong Li, Xi-Le Zhao*, Tai-Xiang Jiang, Yu-Bang Zheng, Teng-Yu Ji, Ting-Zhu Huang, “Low-Rank Tensor Completion via Combined Non-local Self-Similarity and Low-Rank Regularization,” Neurocomputing, vol. 367, pp. 1-12, 2019. [Website]

• 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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 12, pp. 4951-4963, 2019. [Website] [Code]