A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Yao Wang 003 (CVPR, 2017)

Patch-Based Principal Component Analysis for Face Recognition. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Tian-Hui Ma (Comput. Intell. Neurosci., 2017)

A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng (CoRR, 2017)

Adaptive Hyperspectral Mixed Noise Removal. - Tai-Xiang Jiang; Lina Zhuang; Ting-Zhu Huang; José M. Bioucas-Dias (IGARSS, 2018)

Rain Streak Removal for Single Image via Kernel Guided CNN. - Ye-Tao Wang; Xi-Le Zhao; Tai-Xiang Jiang; Liang-Jian Deng; Yi Chang 002; Ting-Zhu Huang (CoRR, 2018)

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)

Matrix factorization for low-rank tensor completion using framelet prior. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Liang-Jian Deng (Inf. Sci., 2018)

Rain Streaks Removal for Single Image Via Directional Total Variation Regularization. - Yugang Wang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Tai-Xiang Jiang (ICIP, 2019)

Constrained Low-Tubal-Rank Tensor Recovery for Hyperspectral Images Mixed Noise Removal by Bilateral Random Projections. - Hao Zhang 103; Xi-Le Zhao; Tai-Xiang Jiang; Michael Kwok-Po Ng (IGARSS, 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 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)

A total variation and group sparsity based tensor optimization model for video rain streak removal. - Ye-Tao Wang; Xi-Le Zhao; Tai-Xiang Jiang; Liang-Jian Deng; Tian-Hui Ma; Yue-Tian Zhang; Ting-Zhu Huang (Signal Process. Image Commun., 2019)

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Yao Wang 003 (IEEE Trans. Image Process., 2019)

Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks. - Jin-Fan Hu; Ting-Zhu Huang; Liang-Jian Deng; Tai-Xiang Jiang; Gemine Vivone; Jocelyn Chanussot (CoRR, 2020)

Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images. - Tai-Xiang Jiang; Michael K. Ng 001; Junjun Pan; Guang-Jing Song (CoRR, 2020)

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)

Deep plug-and-play prior for low-rank tensor completion. - Xi-Le Zhao; Wen-Hao Xu; Tai-Xiang Jiang; Yao Wang 003; Michael K. Ng 001 (Neurocomputing, 2020)

Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. - Xi-Le Zhao; Hao Zhang 103; Tai-Xiang Jiang; Michael K. Ng 001; Xiongjun Zhang (Neurocomputing, 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)

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng (J. Comput. Appl. Math., 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)

Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. - Tai-Xiang Jiang; Michael K. Ng 001; Xi-Le Zhao; Ting-Zhu Huang (IEEE Trans. Image Process., 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)

A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images. - Jie Lin; Ting-Zhu Huang; Xi-Le Zhao; Meng Ding 002; Yong Chen 013; Tai-Xiang Jiang (IGARSS, 2021)

Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior. - Jian-Li Wang; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Tai-Xiang Jiang (IGARSS, 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)

LAConv: Local Adaptive Convolution for Image Fusion. - Zi-Rong Jin; Liang-Jian Deng; Tai-Xiang Jiang; Tian-Jing Zhang (CoRR, 2021)

An approximation method of CP rank for third-order tensor completion. - Chao Zeng 003; Tai-Xiang Jiang; Michael K. Ng 001 (Numerische Mathematik, 2021)

Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal. - Jun-Hao Zhuang; Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang (IEEE Signal Process. Lett., 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 Collaborative Sparse and Low-Rank Transforms. - Ben-Zheng Li; Xi-Le Zhao; Jian-Li Wang; Yong Chen 013; Tai-Xiang Jiang; Jun Liu 012 (IEEE Trans. Computational Imaging, 2021)

A Tensor Subspace Representation-Based Method for Hyperspectral Image Denoising. - Jie Lin; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Lina Zhuang (IEEE Trans. Geosci. Remote. Sens., 2021)

Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform. - Jian-Li Wang; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Michael K. Ng 001 (IEEE Trans. Image Process., 2021)

Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network. - Ye-Tao Wang; Xi-Le Zhao; Tai-Xiang Jiang; Liang-Jian Deng; Yi Chang 002; Ting-Zhu Huang (IEEE Trans. Neural Networks Learn. Syst., 2021)

LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening. - Zi-Rong Jin; Tian-Jing Zhang; Tai-Xiang Jiang; Gemine Vivone; Liang-Jian Deng (AAAI, 2022)

HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging. - Yi-Si Luo; Xile Zhao; Deyu Meng; Tai-Xiang Jiang (CVPR, 2022)

Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion. - Yexun Hu; Tai-Xiang Jiang; Xi-Le Zhao (IJCAI, 2022)

UConNet: Unsupervised Controllable Network for Image and Video Deraining. - Jun-Hao Zhuang; Yi-Si Luo; Xile Zhao; Tai-Xiang Jiang; Bichuan Guo (ACM Multimedia, 2022)

Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery. - Hao Zhang 103; Xi-Le Zhao; Tai-Xiang Jiang; Michael K. Ng 001; Ting-Zhu Huang (IEEE Trans. Cybern., 2022)

Adaptive Hyperspectral Mixed Noise Removal. - Tai-Xiang Jiang; Lina Zhuang; Ting-Zhu Huang; Xi-Le Zhao; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery. - Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yi Chang 002; Michael K. Ng 001; Chao Li 013 (IEEE Trans. Image Process., 2022)

Tensor Completion via Complementary Global, Local, and Nonlocal Priors. - Xi-Le Zhao; Jinghua Yang; Tian-Hui Ma; Tai-Xiang Jiang; Michael K. Ng 001; Ting-Zhu Huang (IEEE Trans. Image Process., 2022)

Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks. - Jin-Fan Hu; Ting-Zhu Huang; Liang-Jian Deng; Tai-Xiang Jiang; Gemine Vivone; Jocelyn Chanussot (IEEE Trans. Neural Networks Learn. Syst., 2022)

Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion. - Shang-Qi Deng; RuoCheng Wu; Liang-Jian Deng; Ran Ran; Tai-Xiang Jiang (CoRR, 2023)

Nonnegative low rank tensor approximations with multidimensional image applications. - Tai-Xiang Jiang; Michael K. P. Ng 001; Junjun Pan; Guang-Jing Song (Numerische Mathematik, 2023)

SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution. - Xiao Qian; Tai-Xiang Jiang; Xi-Le Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution. - Ran Ran; Liang-Jian Deng; Tai-Xiang Jiang; Jin-Fan Hu; Jocelyn Chanussot; Gemine Vivone (IEEE Trans. Cybern., 2023)

Essential tensor learning for multimodal information-driven stock movement prediction. - Jun Wang 089; Yexun Hu; Tai-Xiang Jiang; Jinghua Tan; Qing Li 005 (Knowl. Based Syst., 2023)

Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion. - Tai-Xiang Jiang; Xi-Le Zhao; Hao Zhang 103; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. - Guang-Jing Song; Michael K. Ng 001; Tai-Xiang Jiang (IEEE Trans. Knowl. Data Eng., 2023)

Sparsity Regularized Rank-(L,M,N) Block Term Decomposition for Hyperspectral Image Mixed Noise Removal. - Hao Zhang 103; Ting-Zhu Huang; Jie Lin; Tai-Xiang Jiang (IGARSS, 2024)

Randomized Quaternion UTV Decomposition and Randomized Quaternion Tensor UTV Decomposition. - Liqiao Yang; Jifei Miao; Tai-Xiang Jiang; Yanlin Zhang; Kit Ian Kou (CoRR, 2024)

Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images. - Qin Jiang; Xi-Le Zhao; Jie Lin; Jinghua Yang; Jiangtao Peng; Tai-Xiang Jiang (IEEE Geosci. Remote. Sens. Lett., 2024)

Fast Large-Scale Hyperspectral Image Denoising via Noniterative Low-Rank Subspace Representation. - Yong Chen 013; Jinshan Zeng; Wei He 003; Xi-Le Zhao; Tai-Xiang Jiang; Qing Huang (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised video rain streaks removal with deep foreground-background modeling. - Jun-Hao Zhuang; Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yi Chang 002; Jun Liu 012 (J. Comput. Appl. Math., 2024)

A guidable nonlocal low-rank approximation model for hyperspectral image denoising. - Yong Chen 013; Juan Zhang; Jinshan Zeng; Wenzhen Lai; Xinfeng Gui; Tai-Xiang Jiang (Signal Process., 2024)

CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion. - Jian-Li Wang; Ting-Zhu Huang; Xi-Le Zhao; Yi-Si Luo; Tai-Xiang Jiang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhancing the Adversarial Robustness via Manifold Projection. - Zhiting Li; Shibai Yin; Tai-Xiang Jiang; Yexun Hu; Jia-Mian Wu; Guowei Yang 001; Guisong Liu (AAAI, 2025)

Spectral Low-Rank Attention with Flow-Based Refinement for Spectral Reconstruction. - Yiwen Wang; Zixin Tang; Yexun Hu; Guisong Liu; Tai-Xiang Jiang (ICASSP, 2025)

Model-Guided Stock Movements Prediction with Homogeneous-Heterogeneous pattern learning. - Yi Zhou; Tai-Xiang Jiang; Jun Wang 089; Jinghua Tan (Appl. Soft Comput., 2025)

Learning a more compact representation for low-rank tensor completion. - Xi-Zhuo Li; Tai-Xiang Jiang; Liqiao Yang; Guisong Liu (Neurocomputing, 2025)

Randomized quaternion tensor UTV decompositions for color image and color video processing. - Liqiao Yang; Jifei Miao; Tai-Xiang Jiang; Yanlin Zhang; Kit Ian Kou (Pattern Recognit., 2025)

Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery. - Hao Zhang 103; Ting-Zhu Huang; Xi-Le Zhao; Shuqin Zhang; Jin-Yu Xie; Tai-Xiang Jiang; Michael K. Ng 001 (ACM Trans. Knowl. Discov. Data, 2025)