Yong Chen | UESTC

Experiences:

I am now working at the School of Computer and Information Engineering, Jiangxi Normal University, Nanchang.

In 2020, I received my Ph.D. degree in the School of Mathematical Science at University of Electronic Science and Technology of China (UESTC), advised by Prof. Ting-Zhu Huang and Prof. Xi-Le Zhao.

From Oct. 2018 to Sept. 2019, I was a Research Intern with Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project, Japan, advised by Prof. Naoto Yokoya and Prof. Wei He.

My research interests are remote sensing image processing, computer vision, and machine learning.

Publications (*Corresponding author):

Google Scholar Profile (1300+ citations)

[30] Fast Large-Scale Hyperspectral Image Denoising via Non-Iterative Low-Rank Subspace Representation
Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Tai-Xiang Jiang, and Qing Huang
IEEE Transactions on Geoscience and Remote Sensing, 62: 1-14, 2024. [pdf] [Code]

[29] An Unsupervised Dehazing Network With Hybrid Prior Constraints for Hyperspectral Image
Wei He, Mengyuan Wang, Yong Chen, and Hongyan Zhang
IEEE Transactions on Geoscience and Remote Sensing, 62: 1-15, 2024. [Link]

[28] Unidirectional Spatial and Spectral Smoothed Tensor Ring Decomposition for Hyperspectral Image Denoising and Destriping
Yang Zhou, Yong Chen*, Jinshan Zeng, Wei He, and Min Huang
IEEE Geoscience and Remote Sensing Letters, 21: 1-5, 2024. [pdf]

[27] Remote Sensing Image Destriping by an ℓ₀-Based Nonconvex Model With Overlapping Group Sparse Hyper-Laplacian Prior
Hong-Xia Dou, Miao-Miao Zhang, Rui Wen, Yong Chen, Jun Liu, and Liang-Jian Deng
IEEE Geoscience and Remote Sensing Letters, 21: 1-5, 2024. [Link]

[26] Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network
Yong Chen, Wenzhen Lai, Wei He, Xi-Le Zhao, and Jinshan Zeng
IEEE Transactions on Image Processing, 33: 926-941, 2024. [pdf] [Code]

[25] Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network
Yong Chen, Maolin Chen, Wei He, Jinshan Zeng, Min Huang, and Yu-Bang Zheng
IEEE Transactions on Geoscience and Remote Sensing, 62: 1-13, 2024. [pdf]

[24] A Guidable Nonlocal Low-Rank Approximation Model for Hyperspectral Image Denoising
Yong Chen, Juan Zhang, Jinshan Zeng, Wenzhen Lai, Xinfeng Gui, and Tai-Xiang Jiang
Signal Processing, 215: 109266, 2024. [pdf]

[23] Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging
Yong Chen, Xinfeng Gui, Jinshan Zeng, Xi-Le Zhao, Wei He
IEEE Transactions on Neural Networks and Learning Systems, 2023. [pdf]

[22] Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising
Yong Chen, Wei He, Xi-Le Zhao, Ting-Zhu Huang, Jinshan Zeng, Hui Lin
IEEE Transactions on Geoscience and Remote Sensing, 60, 1-18, 2022. [pdf]

[21] Coupled Tensor Factorization based Robust Thick Cloud Removal for Multi-temporal Remote Sensing Images
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Yong Chen, Qiang Zhang, Qiang-Qiang Yuan
IEEE Transactions on Geoscience and Remote Sensing, 60: 1-16, 2022. [Link] [Code]

[20] Nonlocal-based tensor-average-rank minimization and tensor transform-sparsity for 3D image denoising
Zhi-Yuan Chen, Xi-Le Zhao, Jie Lin, Yong Chen
Knowledge-Based Systems, 244: 108590, 2022. [Link]

[19] Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition
Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Ting-Zhu Huang
IEEE Transactions on Geoscience and Remote Sensing, 60, 1-17, 2022. [pdf]

[18] Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation
Yong Chen, Ting-Zhu Huang, Wei He, Xi-Le Zhao, Hongyan Zhang, and Jinshan Zeng
IEEE Transactions on Geoscience and Remote Sensing, 60, 1-16, 2022. [pdf] [Matlab_Code]

[17] Hyperspectral super-resolution via coupled tensor ring factorization
Wei He, Yong Chen*, Naoto Yokoya, Chao Li, and Qibin Zhao
Pattern Recognition, 108: 108280, 2022. [pdf]

[16] Tensor Completion via Collaborative Sparse and Low-Rank Transform
Ben-Zheng Li, Xi-Le Zhao, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, Jun Liu
IEEE Transactions on Computational Imaging, 7: 1289-1303, 2021. [Link]

[15] Low-Rank Tensor Optimization with Nonlocal Plug-and-Play Regularizers for Snapshot Compressive Imaging
Huan Li, Xi-Le Zhao, Jie Lin, and Yong Chen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 581-593. 2022. [Link]

[14] Nonlocal Block Term Decomposition for Hyperspectral Image Mixed Noise Removal
Zeyu Zeng, Ting-Zhu Huang*, Yong Chen*, and Xi-Le Zhao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 5406-5420, 2021. [Link]

[13] T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation
Shan-Shan Xu, Ting-Zhu Huang, Jie Lin, and Yong Chen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 4842-4853, 2021. [Link]

[12] Hyperspectral image compressive sensing reconstruction using subspace-based nonlocal tensor ring decomposition
Yong Chen, Ting-Zhu Huang, Wei He, Naoto Yokoya, and Xi-Le Zhao
IEEE Transactions on Image Processing, 29: 6813-6828, 2020. [pdf]

[11] Nonlocal tensor ring decomposition for hyperspectral Image denoising
Yong Chen, Wei He, Naoto Yokoya, Ting-Zhu Huang, and Xi-Le Zhao
IEEE Transactions on Geoscience and Remote Sensing, 58(2): 1348-1362, 2020. [pdf] [Matlab_Code]

[10] Hyperspectral image restoration using weighted group sparsity-regularized low-rank tensor decomposition
Yong Chen, Wei He, Naoto Yokoya, and Ting-Zhu Huang
IEEE Transactions on Cybernetics, 50(8): 3556-3570, 2020. [pdf] [Matlab_Code]

[9] Double-factor-regularized low-rank tensor factorization for mixed noise removal in hyperspectral image
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Yong Chen, and Wei He
IEEE Transactions on Geoscience and Remote Sensing, 58(12): 8450-8464, 2020. [pdf] [Matlab_Code]

[8] Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization
Jing-Hua Yang, Xi-Le Zhao, Tian-Hui Ma, Yong Chen, and Meng Ding
Journal of Computational and Applied Mathematics, 363: 124-144, 2020 [pdf]

[7] Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition
Yong Chen, Wei He, Naoto Yokoya, and Ting-Zhu Huang
ISPRS Journal of Photogrammetry and Remote Sensing, 157: 93-107, 2019. [pdf] [Matlab_Code]

[6] A sheared low-rank model for oblique stripe removal
Jian-Li Wang, Ting-Zhu Huang*, Tian-Hui Ma, Xi-Le Zhao, and Yong Chen
Applied Mathematics and Computation, 360: 167-180, 2019 [pdf] [Matlab_Code]

[5] Remote sensing image stripe detecting and destriping using the joint sparsity constraint with iterative support detection
Yun-Jia Sun, Ting-Zhu Huang, Tian-Hui Ma, and Yong Chen
Remote Sensing, 11(6): 608, 2019

[4] Destriping of multispectral remote sensing image using low-rank tensor decomposition
Yong Chen, Ting-Zhu Huang, and Xi-Le Zhao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12): 4950-4967, 2018. [pdf] [Matlab_Code]

[3] Hyperspectral image restoration using framelet-regularized low-rank nonnegative matrix factorization
Yong Chen, Ting-Zhu Huang, Xi-Le Zhao, and Liang-Jian Deng
Applied Mathematical Modelling, 63: 128-147, 2018. [pdf] [Matlab_Code]

[2] Group sparsity regularization model for remote sensing image stripe noise removal
Yong Chen, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, and Min Wang
Neurocomputing, 267: 95-106, 2017. [pdf] [Matlab_Code]

[1] Stripe noise removal of remote sensing images by total variation regularization and group sparsity constraint
Yong Chen, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, and Jie Huang
Remote Sensing, 9(6): 559, 2017. [pdf]

Experiences:

Publications (*Corresponding author):

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