Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Teng-Yu Ji; Tian-Hui Ma (CoRR, 2018)

Tensor Completion via Global Low-Tubal-Rankness and Nonlocal Self-Similarity. - Tian Lu; Xi-Le Zhao; Yu-Bang Zheng; Meng Ding 002; Xiao-Tong Li (GlobalSIP, 2019)

Hyperspectral Image Denoising Via Convex Low-Fibered-Rank Regularization. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Jie Huang 005 (IGARSS, 2019)

Low-Rank Tensor Completion via Tensor Nuclear Norm With Hybrid Smooth Regularization. - Xi-Le Zhao; Xin Nie; Yu-Bang Zheng; Teng-Yu Ji; Ting-Zhu Huang (IEEE Access, 2019)

Low-rank tensor completion via combined non-local self-similarity and low-rank regularization. - Xiao-Tong Li; Xi-Le Zhao; Tai-Xiang Jiang; Yu-Bang Zheng; Teng-Yu Ji; Ting-Zhu Huang (Neurocomputing, 2019)

Reweighted Block Sparsity Regularization for Remote Sensing Images Destriping. - Jian-Li Wang; Ting-Zhu Huang; Xi-Le Zhao; Jie Huang 005; Tian-Hui Ma; Yu-Bang Zheng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior. - Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yu-Bang Zheng; Yi Chang 002 (CoRR, 2020)

Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Teng-Yu Ji; Tian-Hui Ma (Inf. Sci., 2020)

Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Yong Chen 013; Wei He 003 (IEEE Trans. Geosci. Remote. Sens., 2020)

Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Tian-Hui Ma; Teng-Yu Ji (IEEE Trans. Geosci. Remote. Sens., 2020)

Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Qibin Zhao; Tai-Xiang Jiang (AAAI, 2021)

Three-dimensional fractional total variation regularized tensor optimized model for image deblurring. - Lin Guo; Xi-Le Zhao; Xian-Ming Gu; Yong-Liang Zhao; Yu-Bang Zheng; Ting-Zhu Huang (Appl. Math. Comput., 2021)

A novel non-convex low-rank tensor approximation model for hyperspectral image restoration. - Jie Lin; Ting-Zhu Huang; Xi-Le Zhao; Tian-Hui Ma; Tai-Xiang Jiang; Yu-Bang Zheng (Appl. Math. Comput., 2021)

Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors. - Yu-Chun Miao; Xi-Le Zhao; Xiao Fu 001; Jian-Li Wang; Yu-Bang Zheng (CoRR, 2021)

Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Remote Sensing Image Inpainting. - Wen-Jie Zheng; Xi-Le Zhao; Yu-Bang Zheng; Zhi-Feng Pang (CoRR, 2021)

Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem. - Yun-Yang Liu; Xi-Le Zhao; Guang-Jing Song; Yu-Bang Zheng; Ting-Zhu Huang (CoRR, 2021)

Adaptive total variation and second-order total variation-based model for low-rank tensor completion. - Xin Li; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Yu-Bang Zheng; Liang-Jian Deng (Numer. Algorithms, 2021)

Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior. - Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yu-Bang Zheng; Yi Chang 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Qibin Zhao (J. Sci. Comput., 2022)

Nonlocal Patch-Based Fully Connected Tensor Network Decomposition for Multispectral Image Inpainting. - Wen-Jie Zheng; Xi-Le Zhao; Yu-Bang Zheng; Zhi-Feng Pang (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Image Restoration by Tensor Fibered Rank Constrained Optimization and Plug-and-Play Regularization. - Yun-Yang Liu; Xi-Le Zhao; Yu-Bang Zheng; Tian-Hui Ma; Hongyan Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors. - Yu-Chun Miao; Xi-Le Zhao; Xiao Fu 001; Jian-Li Wang; Yu-Bang Zheng (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior. - Wei-Hao Wu; Ting-Zhu Huang; Xi-Le Zhao; Jian-Li Wang; Yu-Bang Zheng (IEEE Trans. Geosci. Remote. Sens., 2022)

Fully Tensorized Convolutional Long Short-Term Memory for Hyperspectral Image Classification. - Tian-Yu Ma; Heng-Chao Li 001; Yu-Bang Zheng; Qian Du 001 (WHISPERS, 2023)

SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search. - Yu-Bang Zheng; Xi-Le Zhao; Junhua Zeng; Chao Li 013; Qibin Zhao; Heng-Chao Li 001; Ting-Zhu Huang (CoRR, 2023)

Tensor ring decomposition-based model with interpretable gradient factors regularization for tensor completion. - Peng-Ling Wu; Xi-Le Zhao; Meng Ding 002; Yu-Bang Zheng; Lu-Bin Cui; Ting-Zhu Huang (Knowl. Based Syst., 2023)

Quaternion Convolutional Neural Network With EMAP Representation for Multisource Remote-Sensing Data Classification. - Yu-Le Wei; Yu-Bang Zheng; Rui Wang 090; Heng-Chao Li 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Thick Cloud Removal for Multitemporal Remote Sensing Images: When Tensor Ring Decomposition Meets Gradient Domain Fidelity. - Li-Yuan Li; Ting-Zhu Huang; Yu-Bang Zheng; Wen-Jie Zheng; Jie Lin; Guo-Cheng Wu 001; Xi-Le Zhao (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain. - Hao Zhang 103; Ting-Zhu Huang; Xi-Le Zhao; Wei He 003; Jae Kyu Choi; Yu-Bang Zheng (IEEE Trans. Geosci. Remote. Sens., 2023)

SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective. - Yu-Bang Zheng; Xi-Le Zhao; Junhua Zeng; Chao Li 013; Qibin Zhao; Heng-Chao Li 001; Ting-Zhu Huang (CVPR, 2024)

Infrared Small Target Detection Based on Weighted Tensor Average Rank Minimization and Directional Structure Tensor. - Xi-Hu Yang; Yu-Bang Zheng; Jia-Jie Yin; Shi-Jun Yang; Heng-Chao Li 001 (IGARSS, 2024)

Feature-Domain Fidelity and Tensor Low-Rank Regularization for Cloud Removal in Remote Sensing Images. - Wen-Jie Zheng; Xiao-Xuan Bai; Yu-Bang Zheng; Ya-Ru Fan; Ting-Zhu Huang; Xi-Le Zhao (IGARSS, 2024)

Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network. - Yong Chen 013; Maolin Chen; Wei He 003; Jinshan Zeng; Min Huang 005; Yu-Bang Zheng (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatial-Temporal Weighted and Regularized Tensor Model for Infrared Dim and Small Target Detection. - Jia-Jie Yin; Heng-Chao Li 001; Yu-Bang Zheng; Gui Gao; Yuxin Hu; Ran Tao 003 (IEEE Trans. Geosci. Remote. Sens., 2024)

Provable Stochastic Algorithm for Large-Scale Fully-Connected Tensor Network Decomposition. - Wen-Jie Zheng; Xi-Le Zhao; Yu-Bang Zheng; Ting-Zhu Huang (J. Sci. Comput., 2024)

Tensor network decomposition for data recovery: Recent advancements and future prospects. - Yu-Bang Zheng; Xi-Le Zhao; Heng-Chao Li 001; Chao Li 013; Ting-Zhu Huang; Qibin Zhao (Neural Networks, 2025)

Multidimensional nonlinear transform-based tensor representation for high-dimensional image reconstruction. - Zhi-Wei Shi; Yu-Bang Zheng; Yi Zhang; Heng-Chao Li 001 (Pattern Recognit., 2025)

Functional Tensor Singular Value Decomposition. - Chuan Wang; Xi-Le Zhao; Yu-Bang Zheng; Ben-Zheng Li; Michael K. Ng 001 (SIAM J. Sci. Comput., 2025)

Fully-connected tensor network decomposition with gradient factors regularization for robust tensor completion. - Bin Xiao; Heng-Chao Li 001; Rui Wang 090; Yu-Bang Zheng (Signal Process., 2025)

Spectral-Temporal Consistency Prior for Cloud Removal From Remote Sensing Images. - Shi-Jun Yang; Yu-Bang Zheng; Heng-Chao Li 001; Yong Chen 013; Qing Zhu (IEEE Trans. Geosci. Remote. Sens., 2025)

Bilateral Tensor Ring Decomposition for Thick Cloud Removal in Multitemporal Remote Sensing Images. - Yu-Bang Zheng; Jia-Le Ma; Heng-Chao Li 001; Zhi-Wei Shi; Qing Zhu (IEEE Trans. Geosci. Remote. Sens., 2025)

Fully Tensorized Lightweight ConvLSTM Neural Networks for Hyperspectral Image Classification. - Tian-Yu Ma; Heng-Chao Li 001; Yu-Bang Zheng; Qian Du 001; Antonio Plaza (IEEE Trans. Neural Networks Learn. Syst., 2025)