👤 About Me
I am currently working with the School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China. I received the Ph.D. degree (advised by Ting-Zhu Huang) from the School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China, in 2022.
My current research interests include tensor modeling and computing, high-dimensional image processing, computer vision, and deep learning.
📢 My group recruits 1–2 PhD students and 7–10 Master’s students each year. Undergraduate students interested in gaining hands-on research experience are also welcome to join our research training program. I especially encourage self-motivated students to reach out. Please feel free to contact me!
📧 E-mail: wangjianli_123@163.com 🎓 Google Scholar 🏫 Faculty Homepage
🔔 News
- 2024.7.1: Two papers have been accepted by European Conference on Computer Vision (ECCV) 2024.
- 2024.1.11: One paper “Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior” has been accepted by IEEE Transactions on Computational Imaging.
- 2023.7.11: One paper “Unsupervised Domain Factorization Network for Thick Cloud Removal of Multi-temporal Remotely Sensed Images” has been accepted by IEEE Transactions on Geoscience and Remote Sensing.
📚 Publications
2026

Multimodal Quaternion Representation Network for Multisource Remote Sensing Data Classification
Yu-Le Wei, Heng-Chao Li, Jian-Li Wang, Yu-Bang Zheng, Jie Pan, Qian Du
IEEE Transactions on Neural Networks and Learning Systems, vol. 37, no. 2, pp. 711-725, 2026

Incomplete Multi-View Kernel Subspace Clustering via Tensor Correlated Total Variation Regularization
Feng Liu, Jian-Li Wang, Danyang Zheng, Jiashu Zhang, Yong-Guo Shi
IEEE Signal Processing Letters, vol 33, pp. 1921-1925, 2026

Superpixel-Informed Continuous Low-Rank Tensor Representation for Multi-Dimensional Data Recovery
Zhizhou Wang, Jianli Wang, Ruijing Zheng, Zhenyu Wu
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 10952-10956, 2026
2025

DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery
Ting-Wei Zhou, Xi-Le Zhao, Jian-Li Wang, Yi-Si Luo, Min Wang, Xiao-Xuan Bai, Hong Yan
IEEE Transactions on Multimedia, vol. 27, pp. 6347-6357, 2025

Frequency-Aware Implicit Neural Representation for Multi-Dimensional Data Recovery
Ting-Wei Zhou, Xi-Le Zhao, Wei-Hao Wu, Jian-Li Wang, Yi-Si Luo
IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 11, pp. 10862-10874, 2025
Low-Rank Regularized Correlation Filter for Hyperspectral Video Object Tracking
Na-Na Li, Heng-Chao Li, Jian-Li Wang, Xiong-Fei Geng, Jie Pan
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 17513-17525, 2025
2024

Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior
Yu-Chun Miao, Xi-Le Zhao, Jian-Li Wang, Xiao Fu, Yao Wang
IEEE Transactions on Computational Imaging, vol. 10, pp. 93-102, 2024

Hyperspectral Images Mixed Noise Removal via Group-Tube Transform Induced Collaborative Sparsity and Low-Rankness
Ben-Zhang Li, Teng-Yu Ji, Jian-Li Wang
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 7618-7621, 2024

Hyperspectral Image Denoising via Generalized Kronecker Decomposition-Based Subspace Representation
Wei-Hao Wu, Ting-Zhu Huang, Min Wang, Yong Chen, Jian-Li Wang, Zhi-Long Han, Jia-Yi Li
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 7622-7625, 2024

Functional Transform-Based Low-Rank Tensor Factorization for Multi-dimensional Data Recovery
Jianli Wang, Xile Zhao
Proceedings of the European Conference on Computer Vision, pp. 39-56, 2024
Superpixel-Informed Implicit Neural Representation for Multi-dimensional Data
Jiayi Li, Xile Zhao, Jianli Wang, Chao Wang, Min Wang
Proceedings of th European Conference on Computer Vision, pp. 258-276, 2024

CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Yi-Si Luo, Tai-Xiang Jiang
IEEE Transactions on Neural Networks and Learning Systems, vol 35, no. 7, pp. 8969-8983, 2024
2023

Unsupervised Domain Factorization Network for Thick Cloud Removal of Multi-temporal Remotely Sensed Images
Jian-Li Wang, Xi-Le Zhao, Heng-Chao Li, Ke-Xiang Cao, Jiaqing Miao
IEEE Transactions on Geoscience and Remote Sensing, vol. 61, vol. 61, pp. 1-12, Art no. 5405912, 2023

Untrained Low-Rank Neural Network Prior for Multi-dimensional Image Recovery
Wei-Hao Wu, Ting-Zhu Huang, Hao Zhang, Jian-Li Wang, Xi-Le Zhao
IEEE Signal Processing Letters, vol. 30, pp. 1647-1651, 2023

H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization
Jia-Yi Li, Jin-Yu Xie, Yi-Si Luo, Xi-Le Zhao, Jian-Li Wang
IEEE Geoscience and Remote Sensing Letters, vol 20, pp. 1-5, Art no. 5506705, 2023

Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior
Xiaole Tang, Xile Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9883-9892, 2023
2022

Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior
Wei-Hao Wu, Ting-Zhu Huang, Xi-Le Zhao, Jian-Li Wang, Yu-Bang Zheng
IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, Art no. 5545514, 2022

Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors
Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng
IEEE Transactions on Geoscience and Remote Sensing, vol 60, pp. 1-16, Art no. 5513916, 2022

Complex Video Completion Fusing Low-Rank Background and Deep Foreground Priors
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Yu-Chun Miao
IEEE Signal Processing Letters, vol 29, pp. 2737-2741, 2022
2021

Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng
IEEE Transactions on Image Processing, vol 30, pp. 3581-3596, 2021

Tensor Completion via Collaborative Sparse and Low-Rank Transforms
Ben-Zheng Li, Xi-Le Zhao, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, Jun Liu
Proceedings of the IEEE Transactions on Computational Imaging, vol. 7, pp. 1289-1303, 2021
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Hyperspectral Denoising via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Tai-Xiang Jiang
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 4119-4122, 2021
2019

Reweighted Block Sparsity Regularization for Remote Sensing Images Destriping
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Jie Huang, Tian-Hui Ma, Yu-Bang Zheng
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 12, no 12, pp. 4951-4963, 2019

A Sheared Low-Rank Model for Oblique Stripe Removal
Jian-Li Wang, Ting-Zhu Huang, Tian-Hui Ma, Xi-Le Zhao, Yong Chen
Applied Mathematics and Computation, vol 360, pp. 167-180, 2019
🎓 Education
- 2024.09-2025.03: Hong Kong Baptist University, Research Assistant in Faculty of Science, Supervisor: NG, Michael Kwok-Po
- 2019.09-2022.06: University of Electronic Science and Technology of China, Ph. D. student in Applied Mathematics, Supervisor: Prof. Ting-Zhu Huang (黄廷祝教授)
- 2017.09-2019.06: University of Electronic Science and Technology of China, Master student in Applied Mathematics, Supervisor: Prof. Ting-Zhu Huang (黄廷祝教授)
- 2013.09-2017.06: Neijiang Normal University, Bachelor student in Applied Mathematics
💰 Fundings
- 国家自然科学基金青年项目, 2024.01-2026.12
- 四川省自然科学基金青年项目, 2025.01-2026.12
- 国家资助博士后研究人员计划, 2024.01-2025.12
- 数据恢复四川省重点实验室开放课题重点项目, 2024.06-2026.06
🏆 Awards
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🎤 Activities
- 10/2021: “Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform”, China Society for Industrial and Applied Mathematics, 2021, Anhui, China, [Slide]
- 07/2021: “Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior”, IEEE International Geoscience and Remote Sensing Symposium, 2021, Online, [Slide]
