linjie

  • Date of Birth: 1996-08-08

  • Education Level: PhD graduate

  • Degree: Doctor of science

  • Gender: Male

  • Status: 在岗

  • Alma Mater: 电子科技大学

  • School/Department: 数学学院

  • Discipline:Mathematics
  • MORE>
    Language: 中文

    Profile

    林杰,2023年在电子科技大学获得理学博士学位,导师为黄廷祝教授。主要研究领域为低秩张量建模高维数据(图像)处理等。个人主页:https://jielin96.github.io/

    论文发表:

    [1] J. Lin, T.-Z. Huang*, X.-L. Zhao*, T.-Y. Ji, Q. Zhao, “Tensor Robust Kernel PCA for Multi-dimensional Data”, IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 2, pp. 2662-2674, 2025[PDF] [Code]

    [2] J. Lin, T.-Z. Huang*, X.-L. Zhao*, Y. Chen, Q. Zhang, Q. Yuan, “Robust Thick Cloud Removal for Multi-Temporal Remote Sensing Images Using Coupled Tensor Factorization”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5406916. [PDF] [Code] [Dataset]

    [3] J. Lin, T.-Z. Huang*, X.-L. Zhao*, T.-X. Jiang, L. Zhuang, “A Tensor Subspace Representation Based Method for Hyperspectral Image Denoising”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7739-7757, 2021. [PDF] [Code]

    [4] J. Lin, T.-Z. Huang*, X.-L. Zhao, T.-H. Ma, T.-X. Jiang, Y.-B. Zheng, “A Novel Non-Convex Low-Rank Tensor Approximation Model for Hyperspectral Image Restoration”, Applied Mathematics and Computation, vol. 408, pp. 126342, 2021. [PDF] [Code]

    [5] S.-S. Xu, T.-Z. Huang*J. Lin*, Y. Chen, “T-Hy-Demosaicing: Hyperspectral Reconstruction via Tensor Subspace Representation under Orthogonal Transformation”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 4842-4853, 2021. [PDF]

    [6] Z.-Y. Chen, X.-L. Zhao*J. Lin, Y. Chen, “Nonlocal-Based Tensor-Average-Rank Minimization and Tensor Transform-Sparsity for 3D Image Denoising”, Knowledge-Based Systems, vol. 244, pp. 108590, 2022. [PDF] [Code]

    [7] Q. Jiang, X.-L. Zhao*J. Lin, Y.-R. Fan, J. Peng, G.-C. Wu, “Superpixel-based Robust Tensor Low-Rank Approximation for Multimedia Data Recovery”, Knowledge-Based Systems, vol. 277, pp. 110812, 2023. [PDF]

    [8] Q. Jiang, X.-L. Zhao*J. Lin, J. -H. Yang, J. Peng, T. -X. Jiang, “Superpixel-oriented Thick Cloud Removal Method for Multi-Temporal Remote Sensing Images”, IEEE Geoscience and Remote Sensing Letters, vol.21, pp. 1-5, 2024, Art no. 5500805. [PDF]

    [9] H. Li, X.-L. Zhao*J. Lin, Y. Chen, “Low-Rank Tensor Optimization with Nonlocal Plug-and-Play Regularizers for Snapshot Compressive Imaging”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 581-593, 2021. [PDF]

    [10] W.-J. Zheng, X.-L. Zhao*, Y.-B. Zheng, J. Lin, L. Zhuang, T.-Z. Huang, “Spatial-Spectral-Temporal Connective Tensor Network Decomposition for Thick Cloud Removal”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 199, pp. 182-194, 2023. [PDF] [Code]

    [11] H. Peng, T.-Z. Huang*, X.-L. Zhao^, J. Lin, W.-H. Wu, L.-Y. Li, "Deep Domain Fidelity and Low-Rank Tensor Ring Regularization for Thick Cloud Removal of Multitemporal Remote Sensing Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024, Art no. 5409314. [PDF]

    [12] Q. Jiang, X.-L. Zhao*, W.-H. Wu, W.-J. Zheng, J. Lin, "An Arbitrary Mode-3 Dimensional Tensor-Tensor Product for Tensor Train Decomposition From Interaction Perspective", IEEE Transactions on Circuits and Systems for Video Technology, 2025. [PDF]

    [13] L.-Y. Li, T.-Z. Huang*, Y.-B. Zheng^, W.-J. Zheng, J. Lin, G.-C. Wu, X.-L. Zhao, "Thick Cloud Removal for Multitemporal Remote Sensing Images: When Tensor Ring Decomposition Meets Gradient Domain Fidelity", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023, Art no. 5512414. [PDF]

    [14] Y.-J. Pan, C. Wen, X.-L. Zhao*, M. Ding, J. Lin, Y.-R. Fan, “Irregular Tensor Representation for Superpixel-Guided Hyperspectral Image Denoising”, IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 5512305. [PDF]

    [15] J. Huang*, W.-C. Di, J.-J. Wang, J. Lin, T.-Z. Huang, “Bilateral Joint-Sparse Regression for Hyperspectral Unmixing,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 10147-10161, 2021. [PDF]

    学术报告:

    [1] 08/2023: “Remote Sensing Image Reconstruction from the Subspace Perspective”, ICIAM 2023, Tokyo, Japan. [Link]

    [2] 11/2022: “Robust Thick Cloud Removal for Multi-Temporal Remote Sensing Images Using Coupled Tensor Factorization”, CSIAM 2022, Online. [Slides]

    [3] 10/2021: “A Tensor Subspace Representation Based Method for Hyperspectral Image Denoising”, CSIAM 2021, Hefei, China. [Slides]

    [4] 07/2021: “A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images”, IGARSS 2021, Online. [Slides]

    期刊审稿:

    Transactions on Geoscience and Remote Sensing; ISPRS Journal of Photogrammetry and Remote Sensing; Information Sciences; Signal Processing; Numerical Algorithms; Machine Learning; Remote Sensing; ...  

    科研项目:

    目前主持国家自然科学基金青年项目1项、四川省青年基金1项;参与国家自然科学基金面上项目1项、四川省应用基础研究重点项目1项、中央军委科学技术委员会国防科技创新特区项目1项

    Educational Experience

    • 2018.9-2023.12  

      University of Electronic Science and Technology of       Mathematics       PhD graduate       Doctor of science

    • 2023.5-2023.11  

      RIKEN, Center for Advanced Intelligence Project      Intern

    Work Experience

    • 数学学院      数据科学与大数据技术系

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