Tai-Xiang Jiang  蒋太翔

    Southwestern University of Finance and Economics (SWUFE)

    Emails: taixiangjiang AT gmail DOT com; jiangtx AT swufe DOT edu DOT cn

    Address: Room 422, Tongbo Building, 555, Liutai Avenue, Wenjiang District, Chengdu, Sichuan, P. R. China, 611130

    Self-motivated students are welcome to join my research group. Please feel free to contact me. 长期招收本科科研实训,硕士、博士研究生。

Experiences:

I am a Professor in the School of Computing and Artificial Intelligence at SWUFE (西南财经大学).

In 2019, I received my Ph.D. in Mathematics from UESTC, advised by Prof. Ting-Zhu Huang (黄廷祝 教授).

From 2017 to 2018, I was a co-training Ph.D. student advised by Prof. Jose M. Bioucas Dias at Instituto Superior Técnico.

In 2019, I was a research assistant advised by Prof. Michael Ng (吴国宝 教授) at Hong Kong Baptist University.

My research interest is image processing, computer vision, and machine learning.

 

Publications (* corresponding author)


Book Chapter
  • Transform Based Tensor Singular Value Decomposition in Multi dimensional Image Completion
    Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao
    in Book: Tensors for Data Processing: Theory, Methods and Applications (Elsevier)
Online
  • Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation
    Guangjing Song, Michael K. Ng, Tai-Xiang Jiang* 
    IEEE Trans. Knowl. Data. Eng.   [PDF] [ArXiv]
  • 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, and Tai-Xiang Jiang
    IEEE Trans. Neural Netw. Learn. Syst.  [PDF] 
2023
  • Nonnegative Low Rank Tensor Approximations with Multidimensional Image Applications
    Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guangjing Song* 
    Numerische Mathematik   [PDF] [ArXiv]
  • Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion
    Tai-Xiang Jiang,Xi-Le Zhao, Hao Zhang, Michael K. Ng*
    IEEE Trans. Neural Netw. Learn. Syst.  [PDF][Matlab Demo] 
  • Essential tensor learning for multimodal information-driven stock movement prediction
    Jun Wang, Yexun Hu, Tai-Xiang Jiang*, Jinghua Tan*, Qing Li 
    Knowl Based Syst.   [PDF]
  • 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. Tcyb.  [PDF][Project Page] 
  • SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multi-Spectral Images Super-Resolution  
    Xiao Qian, Tai-Xiang Jiang*, Xi-Le Zhao
    IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.   [PDF]  [PyTorch Demo]

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.   [PDF]  [PyTorch Demo]

  • Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion
    Yexun Hu, Tai-Xiang Jiang*, Xi-Le Zhao
    IJCAI 2022   [PDF]  [Supplementary_Material]

  • HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging
    Yisi Luo, Xi-Le Zhao*, Deyu Meng, Tai-Xiang Jiang
    IEEE CVPR 2022   [PDF]
  • UConNet: Unsupervised Controllable Network for Image and Video Deraining
    Junhao Zhuang, Yisi Luo, Xile Zhao*, Taixiang Jiang, Bichuan Guo
    ACM MM 2022   [PDF]
  • Tensor Completion via Complementary Global, Local, and Nonlocal Priors(ESI Highly Cited)
    Xi-Le Zhao#, Jing-Hua Yang#, Tian-Hui Ma, Tai-Xiang Jiang*, Michael K. Ng, Ting-Zhu Huang
    IEEE Trans. Image Process.   [PDF]
  • Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
    Yi-Si Luo, Xi-Le Zhao*, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li
    IEEE Trans. Image Process.   [PDF]
  • 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 [PDF]
    [code]
  • Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery
    Hao Zhang, Xi-Le Zhao*, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang
    IEEE Trans. Cybern.  [PDF]
  • 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
    IEEE Trans. Neural Netw. Learn. Syst.  [PDF]  [Project Page]
2021
  • An Approximation Method of CP Rank for Third-order Tensor Completion
    Chao Zeng*, Tai-Xiang Jiang, Michael K. Ng
    Numerische Mathematik   [PDF]
  • 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, Ting-Zhu Huang
    IEEE Trans. Neural Netw. Learn. Syst.   [PDF]  [Pyhton Demo]
  • Fully-Connected Tensor Network Decomposition for Higher-Order Tensor Completion
    Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Qi-Bin Zhao, Tai-Xiang Jiang
    AAAI 2021   [PDF]  [Matlab Demo]
  • 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
    IEEE Trans. Image Process.   [PDF]
  • A Tensor Subspace Representation Method for Hyperspectral Image Denoising
    Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Lina Zhuang
    IEEE Trans. Geosci. Remote Sens.   [PDF]  [Matlab Demo]

 
2020
  • Deep Plug-And-Play Prior for Low-Rank Tensor Completion
    Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang*, Yao Wang, Michael K. Ng
    Neurocomputing   [PDF]  [Matlab Demo]

  • Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion
    Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao*, Ting-Zhu Huang
    IEEE Trans. Image Process.   [PDF]  [Matlab Demo]

  • Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization  (ESI Highly Cited)
    Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang
    IEEE Trans. Geosci. Remote Sens.   [PDF]  [Matlab Demo]

  • Fast Algorithm with Theoretical Guarantees for Constrained Low-Tubal-Rank Tensor Recovery in Hyperspectral Images Denoising
    Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael Ng, Xiong-Jun Zhang
    Neurocomputing   [PDF] 
  • Video Deraining via Nonlocal Low-Rank Regularization
    Yu-Gang Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang
    Applied Mathematical Modelling   [PDF] 
  • Multi-Dimensional Imaging Data Recovery via Minimizing the Partial Sum of Tubal Nuclear Norm (ESI Highly Cited)
    Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng
    Journal of Computational and Applied Mathematics   [PDF]  [Matlab Demo]

  • Tensor N-Tubal Rank and Its Convex Relaxation for Low-Rank Tensor Recovery
    Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Tai-Xiang Jiang, Tian-Hui Ma
    Applied Mathematical Modelling   [PDF]  [Matlab Demo]

 
2019
  • FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors  (ESI Highly Cited)
    Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng,Yao Wang
    IEEE Trans. Image Process.   [PDF]  [Matlab Demo]

  • Low-Rank Tensor Completion via Smooth Matrix Factorization
    Yu-Bang Zheng, Ting-Zhu Huang, Teng-Yu Ji, Xi-Le Zhao, Tai-Xiang Jiang, Tian-Hui Ma
    Applied Mathematical Modelling   [PDF]  [Matlab Demo]

  • 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   [PDF]  [Matlab Demo]

  • 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 Processing: Image Communication   [PDF]  [Matlab Demo]

 
2018
  • Adaptive hyperspectral mixed noise removal
    Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, José M Bioucas-Dias
    IEEE International Geoscience and Remote Sensing Symposium (IGARSS)   [PDF]
  • A Directional Global Sparse Model for Single Image Rain Removal
    Liang-Jian Deng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang
    Applied Mathematical Modelling   [PDF]  [Matlab Demo]

  • 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
    Information Sciences   [PDF]  [Matlab Demo]

 
2017
  • 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
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)   [PDF]  [Supp]  [Poster]  [Matlab Demo]

 

Fundings:

  • Fundamental Research Funds for the Central Universities, PI (中央高校基本科研业务费, 主持), 2020, 2021

  • National Natural Science Foundation of China, Youth Program, PI (国家自然科学基金青年项目, NSFC 12001446, 主持), 2021-2023

  • National Natural Science Foundation of China, general program, Participant (国家自然科学面上项目, 参与), 2018-2021, 2019-2022, 2022-2025

 

Academic Activities:

    Journal Reviewer:

       International Journal of Computer Vision
       IEEE Transactions on Cybernetics
       IEEE Transactions on Image Processing
       IEEE Transactions on Signal Processing
       IEEE Transactions on Geoscience and Remote Sensing
       IEEE Transactions on Neural Networks and Learning Systems
       IEEE Transactions on Pattern Analysis and Machine Intelligence
       IEEE Transactions on Circuits and Systems for Video Technology
       IEEE Journal of Selected Topics in Signal Processing
       IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
       IEEE Signal Processing Letters
       IEEE Access
       Neurocomputing
       Pattern Recognition
       Applied Mathematical Modeling
       Journal of Scientific Computing
       Signal Processing: Image Communication

    Conference Reviewer:

        CVPR  2021,2022     ICCV  2021     ICME  2021
 

Awards:

    2022   四川省计算机 科学技术奖,一等奖(2/8)Link)

    2022   2020年度西南财经大学优秀科研成果奖Link)

    2020   首届川渝科学技术大会优秀论文, 一等奖LinkNews

    2019   第九届计算数学优秀青年论文奖, 二等奖Link

    2019   National Scholarship  (highest national wide scholarship for students in China)

    2019   Outstanding student of USETC 成电杰出学生 (研究生)  (highest personal honor for graduate students in UESTC, Link)

 

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