Jie Lin（林杰）

I received the Ph.D. degree (supervisor: Prof. Ting-Zhu Huang) in Mathematics at University of Electronic Science and Technology of China (UESTC), Chengdu, China

Research Interest: low-rank and sparse modeling, tensor decomposition, and high-dimensional image processing
E-mail: jielin96@126.com
[Google Scholar]   [ResearchGate]   [GitHub]

Publication

• Journal:

  [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, Accepted. [PDF]

  [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] 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]

  [12] 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]

  [13] 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]

• Conference:

  [1] J. Lin, T.-Z. Huang, X.-L. Zhao, M. Ding, Y. Chen, T.-X. Jiang, “A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images”, IEEE International Geoscience and Remote Sensing Symposium, 2021. [PDF] [Code]

  [2] M. Ding, T.-Z. Huang, X.-L. Zhao, J. Lin, J.-H. Yang, “Factor-Regularized Nonnegative Tensor Decomposition for Blind Hyperspectral Unmixing”, IEEE International Geoscience and Remote Sensing Symposium, 2021. [PDF]

Report

• 08/2023: “Remote Sensing Image Reconstruction from the Subspace Perspective”, ICIAM 2023, Tokyo, Japan. [Link]
• 11/2022: “Robust Thick Cloud Removal for Multi-Temporal Remote Sensing Images Using Coupled Tensor Factorization”, CSIAM 2022, Online. [Slides]
• 10/2021: “A Tensor Subspace Representation Based Method for Hyperspectral Image Denoising”, CSIAM 2021, Hefei, China. [Slides]
• 07/2021: “A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images”, IGARSS 2021, Online. [Slides]

Experience

• 05/2023-11/2023: Tensor Learning Team, RIKEN Center for Advanced Intelligence Project, Japan; Intern (Supervisor: Prof. Qibin Zhao)

Education

• 09/2020-12/2023: University of Electronic Science and Technology of China (UESTC); Ph. D. student in Mathematics (Supervisor: Prof. Ting-Zhu Huang)
• 09/2018-06/2020: University of Electronic Science and Technology of China (UESTC); Master student in Mathematics (Supervisor: Prof. Ting-Zhu Huang)
• 09/2014-06/2018: Anhui University of Finance and Economics (AUFE); Bachelor student in Information and Computing Science

Award

• Outstanding Graduate in Sichuan, UESTC, 2024
• National Scholarship for Ph.D. Student, UESTC, 2022
• Academic Rookie, UESTC, 2022
• First-class Academic Scholarship, UESTC, 2021
• Special Postgraduate Scholarship of Science, UESTC, 2020
• Outstanding Undergraduate, AUFE, 2018
• National Scholarship for Bachelor Student, AUFE, 2015