个人信息Personal Information
出生日期：1996-08-08
学历：博士研究生毕业
学位：理学博士学位
性别：男
在职信息：在岗
毕业院校：电子科技大学
学科：数学
所在单位：数学学院
联系方式Other Contact Information
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个人简介Personal 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; ...