Tai-Xiang Jiang (蒋太翔)

About Tai-Xiang Jiang (蒋太翔)

Tai-Xiang Jiang (蒋太翔), With an exceptional h-index of 24 and a recent h-index of 24 (since 2020), a distinguished researcher at Southwestern University of Finance and Economics, specializes in the field of Multi-dimenssional image processing, Tensor completion.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unsupervised video rain streaks removal with deep foreground–background modeling

Incremental algorithms for truncated higher-order singular value decompositions

A guidable nonlocal low-rank approximation model for hyperspectral image denoising

GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution

Dictionary learning with low-rank coding coefficients for tensor completion

Superpixel-Oriented Thick Cloud Removal Method for Multi-Temporal Remote Sensing Images

Tangent space based alternating projections for nonnegative low rank matrix approximation

Transformer-Based Tensor Nuclear Norm for Multi-Dimensional Image Completion

Tai-Xiang Jiang (蒋太翔) Information

University

Position

(SWUFE)

Citations(all)

1916

Citations(since 2020)

1872

Cited By

466

hIndex(all)

24

hIndex(since 2020)

24

i10Index(all)

31

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Tai-Xiang Jiang (蒋太翔) Skills & Research Interests

Multi-dimenssional image processing

Tensor completion

Top articles of Tai-Xiang Jiang (蒋太翔)

Title

Journal

Author(s)

Publication Date

Unsupervised video rain streaks removal with deep foreground–background modeling

Journal of Computational and Applied Mathematics

Jun-Hao Zhuang

Yi-Si Luo

Xi-Le Zhao

Tai-Xiang Jiang

Yi Chang

...

2024/1/15

Incremental algorithms for truncated higher-order singular value decompositions

BIT Numerical Mathematics

Chao Zeng

Michael K Ng

Tai-Xiang Jiang

2024/3

A guidable nonlocal low-rank approximation model for hyperspectral image denoising

Signal Processing

Yong Chen

Juan Zhang

Jinshan Zeng

Wenzhen Lai

Xinfeng Gui

...

2024/2/1

GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution

IEEE Transactions on Cybernetics

Ran Ran

Liang-Jian Deng

Tai-Xiang Jiang

Jin-Fan Hu

Jocelyn Chanussot

...

2023/2/2

Dictionary learning with low-rank coding coefficients for tensor completion

IEEE Transactions on Neural Networks and Learning Systems

Tai-Xiang Jiang

Xi-Le Zhao

Hao Zhang

Michael K Ng

2023/2

Superpixel-Oriented Thick Cloud Removal Method for Multi-Temporal Remote Sensing Images

IEEE Geoscience and Remote Sensing Letters

Qin Jiang

Xi-Le Zhao

Jie Lin

Jing-Hua Yang

Jiangtao Peng

...

2023/12/18

Tangent space based alternating projections for nonnegative low rank matrix approximation

IEEE Transactions on Knowledge and Data Engineering

Guangjing Song

Michael K Ng

Tai-Xiang Jiang

2023/11/30

Transformer-Based Tensor Nuclear Norm for Multi-Dimensional Image Completion

Guowei Yang

Taixiang Jiang

2023/11/3

Essential tensor learning for multimodal information-driven stock movement prediction

Knowledge-Based Systems

Jun Wang

Yexun Hu

Tai-Xiang Jiang

Jinghua Tan

Qing Li

2023/2/28

LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening

Proceedings of the AAAI Conference on Artificial Intelligence

Zi-Rong Jin

Tian-Jing Zhang

Tai-Xiang Jiang

Gemine Vivone

Liang-Jian Deng

2022/6/28

Self-supervised nonlinear transform-based tensor nuclear norm for multi-dimensional image recovery

IEEE Transactions on Image Processing

Yi-Si Luo

Xi-Le Zhao

Tai-Xiang Jiang

Yi Chang

Michael K Ng

...

2022/5/24

SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Xiao Qian

Tai-Xiang Jiang

Xi-Le Zhao

2022/11/28

HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging

Yisi Luo

Xi-Le Zhao

Deyu Meng

Tai-Xiang Jiang

2022

Transform-based tensor singular value decomposition in multidimensional image recovery

Tai-Xiang Jiang

Michael K Ng

Xi-Le Zhao

2022/1/1

CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion

IEEE Transactions on Neural Networks and Learning Systems

Jian-Li Wang

Ting-Zhu Huang

Xi-Le Zhao

Yi-Si Luo

Tai-Xiang Jiang

2022/11/11

UConNet: Unsupervised Controllable Network for Image and Video Deraining

Junhao Zhuang

Yisi Luo

Xile Zhao

Taixiang Jiang

Bichuan Guo

2022/10/10

An approximation method of CP rank for third-order tensor completion

Numerische Mathematik

Chao Zeng

Tai-Xiang Jiang

Michael K Ng

2021/3

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

2021/7/11

A novel non-convex low-rank tensor approximation model for hyperspectral image restoration

Applied Mathematics and Computation

Jie Lin

Ting-Zhu Huang

Xi-Le Zhao

Tian-Hui Ma

Tai-Xiang Jiang

...

2021/11/1

A tensor subspace representation-based method for hyperspectral image denoising

IEEE Transactions on Geoscience and Remote Sensing

Jie Lin

Ting-Zhu Huang

Xi-Le Zhao

Tai-Xiang Jiang

Lina Zhuang

2021

See List of Professors in Tai-Xiang Jiang (蒋太翔) University(Southwestern University of Finance and Economics)

Co-Authors

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