n 教师简介
蒋太翔，理学博士，教授，博（硕）士生导师，入选四川省学术和技术带头人后备人选，入选“全球前2%顶尖科学家榜单”，喀什地区智库专家，中国运筹学会数学与智能分会青年理事，中国图象图形学会遥感图像专业委员会委员，四川省人工智能学会常务理事。主要研究兴趣为人工智能中的共性关键基础问题，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60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.、反问题权威期刊Inverse Problems、IEEE汇刊系列（包括人工智能顶级期刊IEEE TPAMI、数据挖掘顶级期刊IEEE TKDE、图像处理顶级期刊IEEE TIP、人工智能权威期刊IEEE TNNLS、遥感领域顶级期刊IEEE TGRS）以及人工智能顶会CVPR、AAAI、IJCAI等，谷歌学术引用3000余次，入选ESI高被引论文6篇。主持国家级、省部级项目4项，参与华为合作项目。获四川省科学技术奖自然科学三等奖、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、四川省数学会第二届应用数学奖一等奖、四川省计算机科学技术奖一等奖、刘诗白奖励基金优秀科研成果奖二等奖、华为公司技术技术合作成果转化二等奖和西南财经大学优秀科研成果奖。
长期招收： 本科生科研实训（欢迎全校大二大三同学进组学习，直接发邮件给我即可，记得附简历） 硕士/博士研究生 博士后（西南财经大学“一流学科培优”和“财经科技创新”两大集成创新平台博士后研究人员专项招聘公告） 欢迎具有较强自驱能力的同学通过邮件联系我，我将为每位学生（本、硕、博）提供独立的研究项目并全程指导，同时团队（人工智能与行业大数据创新团队&可信人工智能研发与应用研究团队）和实验室（新财经综合实验室）将会提供优渥的硬件资源。 目前指导本、硕、博学生以第一作者发表外论文多篇（含外A+期刊IEEE TPAMI），入选首批中国科协青年人才托举工程博士生专项计划、四川省计算机学会优秀学生论文提名奖、ACM成都分会优秀硕士论文提名奖、西南财大优秀硕士学位论文光华奖、国家奖学金、光华学子综合素质50强、校优秀学生干部和三好学生等荣誉。 n 研究方向 张量建模与计算 计算机视觉-底层视觉-图像处理 遥感高光谱图像处理 单曝光压缩成像关键重建理论与新型重建方法 可信人工智能-算法攻击与防御 详见新财经综合实验室介绍 n 讲授课程 人工智能数学基础与实验（面向全校本科生）、矩阵分析、计算机导论、数字图像处理、算法分析与设计、人工智能实训、高维数据分析等 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 · Guo-Wei Yang（杨国威，所指导博士生-硕博连读）, Liqiao Yang, Tai-Xiang Jiang*, Guisong Liu, Michael K. Ng, DELTA: Deep Low-Rank Tensor Representation for Multi-Dimensional Data Recovery, IEEE Trans. Pattern Analysis Machine Intell.. （CCF-A，外文A+） · Wei-Jian Huang（黄维坚，所指导硕士生）, Li Huang, Tai-Xiang Jiang*, Yu-Bang Zheng, Guisong Liu, Efficient FCTN Decomposition with Structural Sparsity for Noisy Tensor Completion, IEEE Trans. Big Data. 2025 · Yexun Hu（胡业勋，所指导博士生-硕博连读）, Zixin Tang, Tai-Xiang Jiang*, Xi-Le Zhao, Guisong Liu, Degradation Accordant Plug-and-Play for Low-Rank Tensor Recovery, Pattern Recognition. （外文A，一区TOP期刊） · Yi Zhou（周怡，所指导博士生-硕博连读）, Tai-Xiang Jiang, Jun Wang, Jinghua Tan*, Model-Guided Stock Movements Prediction with Homogeneous–Heterogeneous pattern learning, Applied Soft Computing. （外文A） · Liqiao Yang, Jifei Miao, Tai-Xiang Jiang, Yanlin Zhang, Kit Ian Kou, Randomized quaternion tensor UTV decompositions for color image and color video processing, Pattern Recognition. （外文A，一区TOP） · Zhiting Li（李志挺，所指导博士生-硕博连读）, Shibai Yin, Tai-Xiang Jiang*, Yexun Hu, Jia-Mian Wu, Guowei Yang, Guisong Liu, Enhancing the adversarial robustness via manifold projection, AAAI （CCF-A，外文A） · Jia-Mian Wu（吴佳勉，所指导博士生）, Shibai Yin, Tai-Xiang Jiang*, Guilong Liu, Xi-Le Zhao, PALADIN: A novel plug-and-play 3D CS-MRI reconstruction method, Inverse Problems. （外文A） · Zixin Tang, Yexun Hu, Chen Duo, Guowei Yang, Tai-Xiang Jiang*, Daqing Guo*. "Fourier single-pixel spectral imaging via local low-rank tensor nuclear norm and deep tensor priors." Optics Letters. （外文B） · Xi-Zhuo Li（李席卓，所指导硕士生）, Tai-Xiang Jiang, Liqiao Yang, Guisong Liu, Learning a more compact representation for low-rank tensor completion, Neurocomputing. （外文A） · Xuan Chen（陈萱，所指导本科生，现在澳门大学攻读博士学位）, Tai-Xiang Jiang, Yexun Hu,. Michael K. Ng. "Adaptive sampling with tensor leverage scores for exact low-rank third-order tensor completion." Applied Mathematical Modelling. （一区期刊） 2024 · Chao Zeng, Michael K. Ng, Tai-Xiang Jiang*, Incremental algorithms for truncated higher-order singular value decompositions, BIT Numer. Math. · 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） · Hao Zhang, Ting-Zhu Huang, Xi-Le Zhao, Shuqin Zhang, Jin-Yu Xie, Tai-Xiang Jiang, Michael K. Ng, Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery, ACM Transactions on Knowledge Discovery from Data. （外文B） · Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Tai-Xiang Jiang, Qing Huang, Fast Large-Scale Hyperspectral Image Denoising via Non-Iterative Low-Rank Subspace Representation, IEEE Transactions on Geoscience and Remote Sensing. （外文A） · Yun-Yang Liu, Xi-Le Zhao, Meng Ding, Jianjun Wang, Tai-Xiang Jiang, Ting-Zhu Huang, The Generalized Tensor Decomposition with Heterogeneous Tensor Product for Third-Order Tensors, Journal of Scientific Computing. （外文A） · Hao Zhang, Ting-Zhu Huang, Jie Lin,Tai-Xiang Jiang, Sparsity Regularized Rank-(L, M, N) Block Term Decomposition for Hyperspectral Image Mixed Noise Removal, IGARSS 2024. · Yong Chen, Juan Zhang, Jinshan Zeng, Wenzhen Lai, Xinfeng Gui, Tai-Xiang Jiang, A guidable nonlocal low-rank approximation model for hyperspectral image denoising, Signal Processing. · Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Jun Liu, Unsupervised video rain streaks removal with deep foreground–background modeling, Journal of Computational and Applied Mathematics. · 2023 · 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） · 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.（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，ESI高被引）（外文A） · Xiao Qian（钱霄，所指导本科生，现在特拉华大学攻读博士学位）, 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. 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） · 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高被引） · 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. （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，ESI高被引） 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高被引） · 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. （外文B） · 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高被引） · 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.（一区期刊） 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） · 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 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 获奖 v 2024 四川省科学技术奖自然科学奖，三等奖 v 2024 刘诗白奖励基金优秀科研成果奖，二等奖 v 2024 华为公司技术技术合作成果转化二等奖 v 2023 四川省数学会第二届应用数学奖，一等奖 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 2019 成电杰出学生 (研究生) n 学术活动 期刊审稿人: Journal of the American Statistical Association International Journal of Computer Vision IEEE Transactions on Pattern Analysis and Machine Intelligence
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 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
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