Tai-Xiang Jiang

74 papers A* 7B 1C 6Misc 1Journal 59
YearRankTypeTitle / Venue / Authors
2026 J jnl
DELTA: Deep Low-Rank Tensor Representation for Multi-Dimensional Data Recovery.
IEEE Trans. Pattern Anal. Mach. Intell.
Guowei Yang, Liqiao Yang, Tai-Xiang Jiang, Guisong Liu, Michael K. Ng
2026 J jnl
Degradation accordant plug-and-play for low-rank tensor recovery.
Pattern Recognit.
Yexun Hu, Zixin Tang, Tai-Xiang Jiang, Xi-Le Zhao, Guisong Liu
2026 J jnl
Nonlinear Transformed Low-Rank Quaternion Tensor Total Variation for Multidimensional Color Image Completion.
IEEE Trans. Image Process.
Liqiao Yang, Yexun Hu, Tai-Xiang Jiang, Yimin Wei, Guisong Liu, Michael K. Ng
2025 J jnl
Efficient FCTN Decomposition With Structural Sparsity for Noisy Tensor Completion.
IEEE Trans. Big Data
Wei-Jian Huang, Li Huang, Tai-Xiang Jiang, Yu-Bang Zheng, Guisong Liu
2025 A* conf
Enhancing the Adversarial Robustness via Manifold Projection.
AAAI
Zhiting Li, Shibai Yin, Tai-Xiang Jiang, Yexun Hu, Jia-Mian Wu, Guowei Yang, Guisong Liu
2025 J jnl
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery.
ACM Trans. Knowl. Discov. Data
Hao Zhang, Ting-Zhu Huang, Xi-Le Zhao, Shuqin Zhang, Jinyu Xie, Tai-Xiang Jiang, Michael K. Ng
2025 J jnl
Learning a more compact representation for low-rank tensor completion.
Neurocomputing
Xi-Zhuo Li, Tai-Xiang Jiang, Liqiao Yang, Guisong Liu
2025 J jnl
Model-Guided Stock Movements Prediction with Homogeneous-Heterogeneous pattern learning.
Appl. Soft Comput.
Yi Zhou, Tai-Xiang Jiang, Jun Wang, Jinghua Tan
2025 J jnl
Randomized quaternion tensor UTV decompositions for color image and color video processing.
Pattern Recognit.
Liqiao Yang, Jifei Miao, Tai-Xiang Jiang, Yanlin Zhang, Kit Ian Kou
2025 Misc conf
Spectral Low-Rank Attention with Flow-Based Refinement for Spectral Reconstruction.
ICASSP
Yiwen Wang, Zixin Tang, Yexun Hu, Guisong Liu, Tai-Xiang Jiang
2024 J jnl
A guidable nonlocal low-rank approximation model for hyperspectral image denoising.
Signal Process.
Yong Chen, Juan Zhang, Jinshan Zeng, Wenzhen Lai, Xinfeng Gui, Tai-Xiang Jiang
2024 J jnl
CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion.
IEEE Trans. Neural Networks Learn. Syst.
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Yi-Si Luo, Tai-Xiang Jiang
2024 J jnl
Fast Large-Scale Hyperspectral Image Denoising via Noniterative Low-Rank Subspace Representation.
IEEE Trans. Geosci. Remote. Sens.
Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Tai-Xiang Jiang, Qing Huang
2024 J jnl
Randomized Quaternion UTV Decomposition and Randomized Quaternion Tensor UTV Decomposition.
CoRR
Liqiao Yang, Jifei Miao, Tai-Xiang Jiang, Yanlin Zhang, Kit Ian Kou
2024 C conf
Sparsity Regularized Rank-(L,M,N) Block Term Decomposition for Hyperspectral Image Mixed Noise Removal.
IGARSS
Hao Zhang, Ting-Zhu Huang, Jie Lin, Tai-Xiang Jiang
2024 J jnl
Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett.
Qin Jiang, Xi-Le Zhao, Jie Lin, Jinghua Yang, Jiangtao Peng, Tai-Xiang Jiang
2024 J jnl
Unsupervised video rain streaks removal with deep foreground-background modeling.
J. Comput. Appl. Math.
Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Jun Liu
2023 J jnl
Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion.
IEEE Trans. Neural Networks Learn. Syst.
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng
2023 J jnl
Essential tensor learning for multimodal information-driven stock movement prediction.
Knowl. Based Syst.
Jun Wang, Yexun Hu, Tai-Xiang Jiang, Jinghua Tan, Qing Li
2023 J jnl
GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution.
IEEE Trans. Cybern.
Ran Ran, Liang-Jian Deng, Tai-Xiang Jiang, Jin-Fan Hu, Jocelyn Chanussot, Gemine Vivone
2023 J jnl
Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion.
CoRR
Shang-Qi Deng, RuoCheng Wu, Liang-Jian Deng, Ran Ran, Tai-Xiang Jiang
2023 J jnl
Nonnegative low rank tensor approximations with multidimensional image applications.
Numerische Mathematik
Tai-Xiang Jiang, Michael K. P. Ng, Junjun Pan, Guang-Jing Song
2023 J jnl
SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiao Qian, Tai-Xiang Jiang, Xi-Le Zhao
2023 J jnl
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation.
IEEE Trans. Knowl. Data Eng.
Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang
2022 J jnl
Adaptive Hyperspectral Mixed Noise Removal.
IEEE Trans. Geosci. Remote. Sens.
Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, Xi-Le Zhao, José M. Bioucas-Dias
2022 A* conf
Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion.
IJCAI
Yexun Hu, Tai-Xiang Jiang, Xi-Le Zhao
2022 A* conf
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging.
CVPR
Yi-Si Luo, Xile Zhao, Deyu Meng, Tai-Xiang Jiang
2022 J jnl
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot
2022 A* conf
LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening.
AAAI
Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng
2022 J jnl
Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery.
IEEE Trans. Cybern.
Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang
2022 J jnl
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery.
IEEE Trans. Image Process.
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li
2022 J jnl
Tensor Completion via Complementary Global, Local, and Nonlocal Priors.
IEEE Trans. Image Process.
Xi-Le Zhao, Jinghua Yang, Tian-Hui Ma, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang
2022 A* conf
UConNet: Unsupervised Controllable Network for Image and Video Deraining.
ACM Multimedia
Jun-Hao Zhuang, Yi-Si Luo, Xile Zhao, Tai-Xiang Jiang, Bichuan Guo
2021 C conf
A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images.
IGARSS
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Meng Ding, Yong Chen, Tai-Xiang Jiang
2021 J jnl
A Tensor Subspace Representation-Based Method for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Lina Zhuang
2021 J jnl
A novel non-convex low-rank tensor approximation model for hyperspectral image restoration.
Appl. Math. Comput.
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, Yu-Bang Zheng
2021 J jnl
An approximation method of CP rank for third-order tensor completion.
Numerische Mathematik
Chao Zeng, Tai-Xiang Jiang, Michael K. Ng
2021 A* conf
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion.
AAAI
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang
2021 C conf
Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior.
IGARSS
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Tai-Xiang Jiang
2021 J jnl
Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang
2021 J jnl
LAConv: Local Adaptive Convolution for Image Fusion.
CoRR
Zi-Rong Jin, Liang-Jian Deng, Tai-Xiang Jiang, Tian-Jing Zhang
2021 J jnl
Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform.
IEEE Trans. Image Process.
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng
2021 J jnl
Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, Ting-Zhu Huang
2021 J jnl
Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal.
IEEE Signal Process. Lett.
Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang
2021 J jnl
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery.
CoRR
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li
2021 J jnl
Tensor Completion Via Collaborative Sparse and Low-Rank Transforms.
IEEE Trans. Computational Imaging
Ben-Zheng Li, Xi-Le Zhao, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, Jun Liu
2020 J jnl
Deep plug-and-play prior for low-rank tensor completion.
Neurocomputing
Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
2020 J jnl
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion.
CoRR
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng
2020 J jnl
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising.
Neurocomputing
Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael K. Ng, Xiongjun Zhang
2020 J jnl
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion.
IEEE Trans. Image Process.
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang
2020 J jnl
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks.
CoRR
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot
2020 J jnl
Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization.
IEEE Trans. Geosci. Remote. Sens.
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Tian-Hui Ma, Teng-Yu Ji
2020 J jnl
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm.
J. Comput. Appl. Math.
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng
2020 J jnl
Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images.
CoRR
Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guang-Jing Song
2020 J jnl
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation.
CoRR
Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang
2020 J jnl
Tensor
Inf. Sci.
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma
2020 J jnl
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior.
CoRR
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang
2019 J jnl
A total variation and group sparsity based tensor optimization model for video rain streak removal.
Signal Process. Image Commun.
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Tian-Hui Ma, Yue-Tian Zhang, Ting-Zhu Huang
2019 C conf
Constrained Low-Tubal-Rank Tensor Recovery for Hyperspectral Images Mixed Noise Removal by Bilateral Random Projections.
IGARSS
Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael Kwok-Po Ng
2019 J jnl
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections.
CoRR
Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael Kwok-Po Ng
2019 J jnl
Deep Plug-and-play Prior for Low-rank Tensor Completion.
CoRR
Wen-Hao Xu, Xi-Le Zhao, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
2019 J jnl
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors.
IEEE Trans. Image Process.
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
2019 J jnl
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion.
CoRR
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang
2019 C conf
Hyperspectral Image Denoising Via Convex Low-Fibered-Rank Regularization.
IGARSS
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Jie Huang
2019 J jnl
Low-rank tensor completion via combined non-local self-similarity and low-rank regularization.
Neurocomputing
Xiao-Tong Li, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Teng-Yu Ji, Ting-Zhu Huang
2019 B conf
Rain Streaks Removal for Single Image Via Directional Total Variation Regularization.
ICIP
Yugang Wang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Tai-Xiang Jiang
2018 C conf
Adaptive Hyperspectral Mixed Noise Removal.
IGARSS
Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, José M. Bioucas-Dias
2018 J jnl
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors.
CoRR
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
2018 J jnl
Matrix factorization for low-rank tensor completion using framelet prior.
Inf. Sci.
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Liang-Jian Deng
2018 J jnl
Rain Streak Removal for Single Image via Kernel Guided CNN.
CoRR
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, Ting-Zhu Huang
2018 J jnl
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery.
CoRR
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma
2017 A* conf
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors.
CVPR
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
2017 J jnl
A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV.
CoRR
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng
2017 J jnl
Patch-Based Principal Component Analysis for Face Recognition.
Comput. Intell. Neurosci.
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma