※教师简介
陈勇，1993年出生，硕士生导师，首批赣鄱俊才支持计划·青年科技人才托举项目入选者，江西省杰出青年基金获得者。2020年12月毕业于电子科技大学数学科学学院，获理学博士学位。博士期间（2018-2019）获日本理化学研究所（RIKEN AIP）全额资助，前往访问一年。从事于问题驱动的应用数学和计算机学科交叉研究，包括人工智能、计算机视觉、遥感图像处理与应用的研究。截至目前，在其研究领域的重要期刊和会议上发表高水平学术论文30余篇，包括IEEE TIP, IEEE TNNLS, IEEE TCYB, ISPRS P&RR, IEEE TGRS, IEEE TCI和PR等期刊，ESI高被引论文2篇。Google Scholar总引用1000余次。主持国家自然科学基金青年项目和江西省自然科学基金杰出青年项目等4项。目前担任IEEE TIP, IEEE TNNLS, IEEE TGRS, IEEE TCI, RSE, ISPRS&RS, PR等主流SCI期刊的审稿人。详情请见个人主页：
Github：https://chenyong1993.github.io/yongchen.github.io/
ResearchGate：https://www.researchgate.net/profile/Yong-Chen-10
Google Scholar: https://scholar.google.com/citations?user=lds7VxMAAAAJ&hl=cs
※研究领域
从事于问题驱动的应用数学和计算机学科交叉研究，包括人工智能、机器学习、计算机视觉、图像处理与应用的研究。
※研究成果 (第一作者/通讯作者，详情见个人主页)
[1] Yong Chen, Wenzhen Lai, Wei He*, Xi-Le Zhao, and Jinshan Zeng*, Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network, IEEE Transactions on Image Processing, 33: 926-941, 2024. (中科院一区)
[2] Yong Chen, Xinfeng Gui, Jinshan Zeng*, Xi-Le Zhao, and Wei He, Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging, IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-13, doi: 10.1109/TNNLS.2023.3294262. (中科院一区)
[3] Yong Chen, Maolin Chen, Wei He, Jinshan Zeng*, Min Huang, and Yu-Bang Zheng, Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network, IEEE Transactions on Geoscience and Remote Sensing, 62: 1-13, 2024. (中科院一区)
[4] Yong Chen, Juan Zhang, Jinshan Zeng, Wenzhen Lai, Xinfeng Gui, and Tai-Xiang Jiang, A Guidable Nonlocal Low-Rank Approximation Model for Hyperspectral Image Denoising, Signal Processing, 215: 109266, 2024. (中科院二区)
[5] Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao, Ting-Zhu Huang, Hyperspectral and multispectral image fusion using factor smoothed tensor ring decomposition, IEEE Transactions on Geoscience and Remote Sensing, 60:1-17, 2022. (中科院一区)
[6] Yong Chen, Wei He, Xi-Le Zhao, Ting-Zhu Huang, Jinshan Zeng, Hui Lin, Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising, IEEE Transactions on Geoscience and Remote Sensing, 60:1-18, 2022. (中科院一区)
[7] Yong Chen, Ting-Zhu Huang, Wei He, Xi-Le Zhao, Hongyan Zhang, Jinshan Zeng, Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation, IEEE Transactions on Geoscience and Remote Sensing, 60:1-16, 2022. (中科院一区)
[8] Wei He, Yong Chen*, Naoto Yokoya, Chao Li, and Qibin Zhao, Hyperspectral super-resolution via coupled tensor ring factorization, Pattern Recognition, 108: 108280, 2022. (中科院一区)
[9] Yong Chen, Ting-Zhu Huang, Wei He, Naoto Yokoya, and Xi-Le Zhao, Hyperspectral image compressive sensing reconstruction using subspace-based nonlocal tensor ring decomposition. IEEE Transactions on Image Processing, 29: 6813-6828, 2020. (中科院一区)
[10] Yong Chen, Wei He, Naoto Yokoya, and Ting-Zhu Huang, Hyperspectral image restoration using weighted group sparsity-regularized low-rank tensor decomposition. IEEE Transactions on Cybernetics, 50(8): 3556-3570, 2020. (中科院一区)
[11] Yong Chen, Wei He, Naoto Yokoya, Ting-Zhu Huang, and Xi-Le Zhao Non-local tensor ring decomposition for hyperspectral Image denoising, IEEE Transactions on Geoscience and Remote Sensing, 58(2): 1348-1342, 2020. (中科院一区)
[12] Yong Chen, Wei He, Naoto Yokoya, and Ting-Zhu Huang, Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition. ISPRS Journal of Photogrammetry and Remote Sensing, 157: 93-107, 2019. (中科院一区)
[13] Yong Chen, Ting-Zhu Huang, and Xi-Le Zhao, Destriping of multispectral remote sensing image using low-rank tensor decomposition, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12): 4950-4967, 2018. (中科院二区)
[14] Yong Chen, Ting-Zhu Huang, Xi-Le Zhao, and Liang-Jian Deng, Hyperspectral image restoration using framelet-regularized low-rank nonnegative matrix factorization, Applied Mathematical Modelling, 63:128-147, 2018. (中科院二区)
[15] Yong Chen, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, and Min Wang, Group sparsity regularization model for remote sensing image stripe noise removal, Neurocomputing, 267:95-106, 2017. (中科院二区)
[16] Yong Chen, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, and Jie Huang, Stripe noise removal of remote sensing images by total variation regularization and group sparsity constraint, Remote Sensing, 2017, 9(6):559. (中科院二区)
※主持科研项目
国家自然科学基金青年项目，2022-01至2024-12，主持
赣鄱俊才支持计划·青年科技人才托举项目，2023-12-2026-11，主持
江西省自然科学基金青年项目，2023-01至2024-12，主持
江西师范大学博士启动金 2021.03--- 主持
※获奖和荣誉
赣鄱俊才支持计划·青年科技人才托举项目
江西省杰出青年人才资助
2021川渝科学技术大会优秀论文, 一等奖
2020电子科技大学优秀博士（链接）
本科、硕士、博士国家奖学金（链接）
※团队优势
1）实验配置：RTX3090Ti显卡以上；2）学校标准奖助学金+科研绩效+奖励；3）国内外知名教授共同指导；4）导师本人带头冲在一线，随时展开讨论；5）完善的传帮带指导体系；6）不定时组内团建；7）每周打一次篮球等。
※团队招生
长期招收本科科研实训，硕士研究生。欢迎各位青年才俊联系我，我会尽快回复邮件并安排面谈，指导期间会提供充足的资源和耐心的指导，推荐至知名高校深造。欢迎具有扎实的数学和计算机学科专业基础，热爱科研，具备勤奋、刻苦、乐观的学习态度和良好的团队合作精神的同学加入课题组。如对我们研究小组研究感兴趣，请通过电子邮件将相关申请材料发送至邮箱：chenyong1872008@163.com。招生合作老师：曾锦山老师。
※学生科研情况
赖文震（21级硕士研究生）：IEEE Transactions on Image Processing (中科院一区, CCF-A, IF: 10.6)， IJCAI 2024在投, 授权国家发明专利一项
桂鑫锋（21级硕士研究生）： IEEE Transactions on Neural Networks and Learning Systems (中科院一区, IF: 10.4)，授权国家发明专利一项，2022年度研究生省级创新基金，国家奖学金
张娟（21级硕士研究生）：Signal Processing (中科院二区)
陈茂林（22级硕士研究生）： IEEE Transactions on Geoscience and Remote Sensing (中科院一区, IF: 8.2)，授权国家发明专利一项
