Jie Lin

According to our database, Jie Lin authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

An Arbitrary Mode-3 Dimensional Tensor-Tensor Product for Tensor Train Decomposition From Interaction Perspective.

Qin Jiang, Xi-Le Zhao, Wei-Hao Wu, Wen-Jie Zheng, Jie Lin

IEEE Trans. Circuits Syst. Video Technol., August, 2025

Tensor Robust Kernel PCA for Multidimensional Data.

Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Qibin Zhao

IEEE Trans. Neural Networks Learn. Syst., February, 2025

A Unified Data-Aware Fidelity and Regularization Learning Paradigm for Thick Cloud Removal of Multitemporal Remote Sensing Images.

Hao Peng, Ting-Zhu Huang, Xi-Le Zhao, Wei-Hao Wu, Jie Lin, Teng-Yu Ji

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Deep Domain Fidelity and Low-Rank Tensor Ring Regularization for Thick Cloud Removal of Multitemporal Remote Sensing Images.

Hao Peng, Ting-Zhu Huang, Xi-Le Zhao, Jie Lin, Wei-Hao Wu, Li-Yuan Li

IEEE Trans. Geosci. Remote. Sens., 2024

Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images.

Qin Jiang, Xi-Le Zhao, Jie Lin, Jinghua Yang, Jiangtao Peng, Tai-Xiang Jiang

IEEE Geosci. Remote. Sens. Lett., 2024

Sparsity Regularized Rank-(L,M,N) Block Term Decomposition for Hyperspectral Image Mixed Noise Removal.

Hao Zhang, Ting-Zhu Huang, Jie Lin, Tai-Xiang Jiang

Proceedings of the IGARSS 2024, 2024

2023

Superpixel-based robust tensor low-rank approximation for multimedia data recovery.

Qin Jiang, Xi-Le Zhao, Jie Lin, Yaru Fan, Jiangtao Peng, Guo-Cheng Wu

Knowl. Based Syst., October, 2023

Thick Cloud Removal for Multitemporal Remote Sensing Images: When Tensor Ring Decomposition Meets Gradient Domain Fidelity.

Li-Yuan Li, Ting-Zhu Huang, Yu-Bang Zheng, Wen-Jie Zheng, Jie Lin, Guo-Cheng Wu, Xi-Le Zhao

IEEE Trans. Geosci. Remote. Sens., 2023

Irregular Tensor Representation for Superpixel- Guided Hyperspectral Image Denoising.

Yi-Jie Pan, Chun Wen, Xi-Le Zhao, Meng Ding, Jie Lin, Ya-Ru Fan

IEEE Geosci. Remote. Sens. Lett., 2023

2022

Robust Thick Cloud Removal for Multitemporal Remote Sensing Images Using Coupled Tensor Factorization.

Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Yong Chen, Qiang Zhang, Qiangqiang Yuan

IEEE Trans. Geosci. Remote. Sens., 2022

Low-Rank Tensor Optimization With Nonlocal Plug-and-Play Regularizers for Snapshot Compressive Imaging.

Huan Li, Xi-Le Zhao, Jie Lin, Yong Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Nonlocal-based tensor-average-rank minimization and tensor transform-sparsity for 3D image denoising.

Zhi-Yuan Chen, Xi-Le Zhao, Jie Lin, Yong Chen

Knowl. Based Syst., 2022

2021

A Tensor Subspace Representation-Based Method for Hyperspectral Image Denoising.

Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Lina Zhuang

IEEE Trans. Geosci. Remote. Sens., 2021

T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation.

Shanshan Xu, Ting-Zhu Huang, Jie Lin, Yong Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Bilateral Joint-Sparse Regression for Hyperspectral Unmixing.

Jie Huang, Wu-Chao Di, Jin-Ju Wang, Jie Lin, Ting-Zhu Huang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A novel non-convex low-rank tensor approximation model for hyperspectral image restoration.

Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, Yu-Bang Zheng

Appl. Math. Comput., 2021

A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images.

Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Meng Ding, Yong Chen, Tai-Xiang Jiang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Factor-Regularized Nonnegative Tensor Decomposition for Blind Hyperspectral Unmixing.

Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Jie Lin, Jinghua Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021