n 教师简介

蒋太翔，理学博士，教授，博（硕）士生导师，四川省学术和技术带头人后备人选，四川省人工智能学会理事。主要研究兴趣为张量建模与计算方法，受邀撰写Elsevier出版社的学术专著1章，在高水平期刊和会议发表学术论文40余篇（其中中国计算机学会（CCF）A类推荐10余篇），包括计算数学顶级期刊Numer. Math.，IEEE汇刊系列（TKDE、TIP、TNNLS、TGRS、TCyb）以及人工智能顶会CVPR、AAAI、IJCAI、ACM MM等，谷歌学术引用1300余次，入选ESI高被引论文4篇。主持国家自然科学基金青年项目和四川省自然基金青年项目。曾获第九届计算数学优秀青年论文奖二等奖、首届川渝科学技术大会优秀论文一等奖、四川省计算机科学技术奖一等奖和西南财经大学优秀科研成果奖。

团队和实验室长期招收本科科研实训、硕士/博士研究生、博士后。欢迎感兴趣的同学发送简历到我邮箱，我会尽快回复邮件，团队和实验室将会提供非常充足的计算资源。

n 研究方向

张量建模与计算

计算机视觉

图像处理

金融数据挖掘

可信人工智能

n 讲授课程

      矩阵分析、计算机导论、数字图像处理、算法分析与设计等

n 研究成果 (*通讯作者)

Book Chapter

• Tai-Xiang Jiang, Michael K. Ng, Xi-Le      Zhao, Transform Based Tensor Singular Value Decomposition in      Multidimensional Image Completion, in Book: Tensors for Data      Processing: Theory, Methods and Applications (Elsevier)

Online

• Guangjing Song, Michael K. Ng, Tai-Xiang Jiang*, Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation, IEEE Trans. Knowl. Data. Eng. （CCF-A，外文A+）

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

2023

• Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guangjing Song*,      Nonnegative Low Rank Tensor Approximations with Multidimensional Image Applications,      Numerische      Mathematik （外文A）

• Tai-Xiang Jiang,Xi-Le Zhao, Hao Zhang, Michael K. Ng*, Dictionary      Learning with Low-rank Coding Coefficients for Tensor Completion,      IEEE Trans.      Neural Netw. Learn. Syst. （外文A）

• Jun Wang, Yexun Hu, Tai-Xiang Jiang*,      Jinghua Tan*, Qing Li,Essential tensor learning for multimodal      information-driven stock movement prediction, Knowl Based Syst. （学生一作胡业勋为所指导硕士生，外文A）

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

• Xiao Qian, Tai-Xiang Jiang*,      Xi-Le Zhao, SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multi-Spectral      Images Super-Resolution, IEEE      J. Sel. Top. Appl. Earth Obs. Remote Sens. （第一作者钱霄为所指导本科生）

2022

• Tai-Xiang Jiang, Lina Zhuang*, Ting-Zhu Huang, Xi-Le Zhao,      José M      Bioucas-Dias, Adaptive hyperspectral mixed noise removal, IEEE Trans. Geosci. Remote Sens.（外文A）

• Tai-Xiang Jiang*, Xi-Le Zhao,Degradation Accordant      Plug-and-Play for Low-Rank Tensor Completion, Yexun Hu,  IJCAI（第一作者胡业勋为所指导硕士生，CCF-A，外文A）

• Yisi Luo, Xi-Le Zhao*, Deyu Meng, Tai-Xiang      Jiang, HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse      Problems in Multi-Dimensional Imaging, IEEE CVPR  （CCF-A，外文A）

• Yisi Luo, Xile Zhao*, Taixiang Jiang,      Bichuan Guo, UConNet: Unsupervised Controllable Network for Image and      Video Deraining, Junhao Zhuang, ACM      MM（CCF-A，外文A）

• Xi-Le Zhao#, Jing-Hua Yang#, Tian-Hui      Ma, Tai-Xiang Jiang*, Michael K. Ng, Ting-Zhu Huang, Tensor      Completion via Complementary Global, Local, and Nonlocal Priors, IEEE Trans. Image Process. （CCF-A，外文A，ESI Highly Cited）

• Yi-Si Luo, Xi-Le Zhao*, Tai-Xiang      Jiang, Yi Chang, Michael K. Ng, Chao Li, Self-Supervised Nonlinear      Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery, IEEE Trans. Image Process.  （C CCF-A，外文A）

• Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang      Jiang, Gemine Vivone, Liang-Jian Deng*, LAGConv: Local-context      Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening, AAAI（CCF-A，外文A）

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

• Jin-Fan Hu, Ting-Zhu Huang*, Liang-Jian      Deng*, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot, Hyperspectral      Image Super-resolution via Deep Spatio-spectral Convolutional Neural      Networks, IEEE Trans.      Neural Netw. Learn. Syst. （外文A）

2021

• Chao Zeng*, Tai-Xiang Jiang,      Michael K. Ng, An Approximation Method of CP Rank for Third-order Tensor      Completion, Numerische Mathematik （外文A）

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

• Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*,      Qi-Bin Zhao, Tai-Xiang Jiang, Fully-Connected Tensor Network      Decomposition for Higher-Order Tensor Completion, AAAI（CCF-A，外文A）

• Jian-Li Wang, Ting-Zhu Huang*, Xi-Le      Zhao*, Tai-Xiang Jiang, Michael K. Ng, Multi-dimensional      Visual Data Completion via Low-Rank Tensor Representation under Coupled      Transform, IEEE Trans.      Image Process. （CCF-A，外文A）

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

2020

• Xi-Le      Zhao, Wen-Hao Xu, Tai-Xiang Jiang*, Yao Wang, Michael K. Ng, Deep      Plug-And-Play Prior for Low-Rank Tensor Completion, Neurocomputing（外文A）

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

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

• Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang,      Michael Ng, Xiong-Jun Zhang, Fast Algorithm with Theoretical Guarantees      for Constrained Low-Tubal-Rank Tensor Recovery in Hyperspectral Images      Denoising, Neurocomputing（外文A）

• Yu-Gang Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang      Jiang, Video Deraining via Nonlocal Low-Rank Regularization, Applied Mathematical Modelling

• Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Multi-Dimensional      Imaging Data Recovery via Minimizing the Partial Sum of Tubal Nuclear Norm,      Journal of      Computational and Applied Mathematics (ESI Highly      Cited)

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

2019

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

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

• Xiao-Tong Li, Xi-Le Zhao, Tai-Xiang Jiang,      Yu-Bang Zheng, Teng-Yu Ji, Ting-Zhu Huang, Low-Rank Tensor Completion via      Combined Non-Local Self-Similarity and Low-Rank Regularization, Neurocomputing（外文A）

• Ye-Tao Wang, Xi-Le Zhao*, Tai-Xiang Jiang*,      Liang-Jian Deng, Tian-Hui Ma, Yue-Tian Zhang, Ting-Zhu Huang, A Total      Variation and Group Sparsity based Tensor Optimization Model for Video      Rain Streak Removal, Signal      Processing: Image Communication

2018

• Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, José M Bioucas-Dias, Adaptive      hyperspectral mixed noise removal, IGARSS

• Liang-Jian Deng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang      Jiang, A Directional Global Sparse Model for Single Image Rain Removal,      Applied Mathematical      Modelling

• Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Liang-Jian      Deng, Matrix factorization for low-rank tensor completion using framelet      prior, Information      Sciences（外文A）

2017

• Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang,      A Novel Tensor-based Video Rain Streaks Removal Approach via Utilizing      Discriminatively Intrinsic Priors, IEEE      CVPR（CCF-A，外文A）

n 科研项目

l 国家自然科学基金青年项目，2021-2023，主持

l 四川省自然科学基金青年项目，2022-2023，主持

l 中央高校基本科研业务费，2020，2021，2022主持

n 学术活动

期刊审稿人:

International Journal of Computer Vision

IEEE Transactions on Big Data

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

会议审稿人:

CVPR，ICCV，ECCV，IJCAI，AAAI，ICASSP，ICME, AISTATS

n 获奖

v 2022 四川省计算机科学技术奖，一等奖

v 2020 首届川渝科学技术大会优秀论文, 一等奖

v 2019 第九届计算数学优秀青年论文奖, 二等奖

v 2019 成电杰出学生(研究生)