Jian-Li Wang (Jianli Wang)

Biography

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.

📢 Self-motivated students are welcome to join my research group. Please feel free to contact me.
Email: wangjianli_123@163.com; wangjianli@swjtu.edu.cn
Follow me: Google Scholar Researchgate GitHub

News

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.
2023.2.28: One paper “Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior” has been accepted by IEEE Conference on Computer Vision and Pattern Recognition.
2023.1.3: One paper “Complex Video Completion Fusing Low-Rank Background and Deep Foreground Priors” has been accepted by IEEE Signal Processing Letters.
2022.12.7: One paper “Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior” has been accepted by IEEE Transactions on Geoscience and Remote Sensing.
2022.10.14: One paper “CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion” has been accepted by IEEE Transactions on Neural Networks and Learning Systems.

Publications

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

@article{wangCTLRTC_TIP2021,
  title={Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform}, 
  author={Wang, Jian-Li and Huang, Ting-Zhu and Zhao, Xi-Le and Jiang, Tai-Xiang and Michael K. Ng}, 
  journal={IEEE Transactions on Image Processing},
  volume={30},
  pages={3581-3596},
  year={2021},  
}

Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Yi-Si Luo, Tai-Xiang Jiang, “CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion”, IEEE Transactions on Neural Networks and Learning Systems, accepted, 2022. [BibTeX] [PDF]

@ARTICLE{wangCoNoT_TNNLS2022,
  author={Wang, Jian-Li and Huang, Ting-Zhu and Zhao, Xi-Le and Luo, Yi-Si and Jiang, Tai-Xiang},
  journal={IEEE Transactions on Neural Networks and Learning Systems}, 
  title={CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion}, 
  year={2022},
  volume={},
  number={},
  pages={1-15},
  doi={10.1109/TNNLS.2022.3217198}
 }

Jian-Li Wang, Xi-Le Zhao, Heng-Chao Li, Ke-Xiang Cao, Jiaqing Miao, Ting-Zhu Huang, “Unsupervised Domain Factorization Network for Thick Cloud Removal of Multi-temporal Remotely Sensed Images”, IEEE Transactions on Geoscience and Remote Sensing, accepted, 2023. [BibTeX] [PDF]

@ARTICLE{wangUnDFN_TGRS2023,
  author={Wang, Jian-Li and Zhao, Xi-Le and Li, Heng-Chao and Cao, Ke-Xiang and Miao, Jiaqing and Huang, Ting-Zhu},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Unsupervised Domain Factorization Network for Thick Cloud Removal of Multi-temporal Remotely Sensed Images}, 
  year={2023},
  volume={},
  number={},
  pages={1-15},
  doi={10.1109/TGRS.2023.3303169}
 }

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

@ARTICLE{wangLRDP_SPL2022,
  author={Wang, Jian-Li and Huang, Ting-Zhu and Zhao, Xi-Le and Miao, Yu-Chun},
  journal={IEEE Signal Processing Letters}, 
  title={Complex Video Completion Fusing Low-Rank Background and Deep Foreground Priors}, 
  year={2022},
  volume={29},
  pages={2737-2741},
  doi={10.1109/LSP.2023.3236585}
 }

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

@article{wangRBSUTV_JSTAR2019,
  title={Reweighted Block Sparsity Regularization for Remote Sensing Images Destriping}, 
  author={Wang, Jian-Li and Huang, Ting-Zhu and Zhao, Xi-Le and Huang, Jie and Ma, Tian-Hui and Zheng, Yu-Bang}, 
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={12},
  number={12},
  pages={4951-4963},
  year={2019},  
}

Jian-Li Wang, Ting-Zhu Huang, Tian-Hui Ma, Xi-Le Zhao, Yong Chen, “A Sheared Low-Rank Model for Oblique Stripe Removal”, Applied Mathematics and Computation, vol. 360, pp. 167-180, 2019. [BibTeX] [PDF] [Code]

@article{wangsheared_AMC2019,
  title={A Sheared Low-Rank Model for Oblique Stripe Removal}, 
  author={Wang, Jian-Li and Huang, Ting-Zhu and Ma, Tian-Hui and Zhao, Xi-Le and Chen, Yong}, 
  journal={Applied Mathematics and Computation},
  volume={360},
  pages={167-180},
  year={2019},  
}

Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Tai-Xiang Jiang, “Hyperspectral Denoising via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021, pp. 11-16. [BibTeX] [PDF]

@inproceedings{wangDIP_TR_IGARSS2021,
  title={Hyperspectral Denoising via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior}, 
  author={Wang, Jian-Li and Huang, Ting-Zhu and Zhao, Xi-Le and Ji, Teng-Yu and Jiang, Tai-Xiang}, 
  booktitle={IEEE International Geoscience and Remote Sensing Symposium},
  volume = { },
  pages = { },
  year = {2021},
  pages={11-16},
}

Xiaole Tang, Xile Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng, “Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 9883-9892. [BibTeX] [PDF]

@InProceedings{Tang_CVPR2023,
    author    = {Tang, Xiaole and Zhao, Xile and Liu, Jun and Wang, Jianli and Miao, Yuchun and Zeng, Tieyong},
    title     = {Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {9883-9892}
}

Wei-Hao Wu, Ting-Zhu Huang, Xi-Le Zhao, Jian-Li Wang, Yu-Bang Zheng, “Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior”, IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3228927, 2022. [BibTeX] [PDF]

@article{wu_TGRS2022,
  author={Wu, Wei-Hao and Huang, Ting-Zhu and Zhao, Xi-Le and Wang, Jian-Li and Zheng, Yu-Bang},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior}, 
  year={2022},
  volume={60},
  number={},
  pages={1-14},
  doi={10.1109/TGRS.2022.3228927}}

Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng, “Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors”, IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3106380, 2021. [BibTeX] [PDF]

@article{miaoDS2DP_TGRS2021,
  author={Miao, Yu-Chun and Zhao, Xi-Le and Fu, Xiao and Wang, Jian-Li and Zheng, Yu-Bang},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors}, 
  year={2022},
  volume={60},
  number={},
  pages={1-16},
  doi={10.1109/TGRS.2021.3106380}}

Ben-Zheng Li, Xi-Le Zhao, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, Jun liu, “Tensor Completion via Collaborative Sparse and Low-Rank Transforms”, IEEE Transactions on Computational Imaging, doi: 10.1109/TCI.2021.3126232, 2021. [BibTeX] [PDF]

@article{liCSLRT_TCI2021,
  title={Tensor Completion via Collaborative Sparse and Low-Rank Transforms}, 
  author={Li, Ben-Zheng and Zhao, Xi-Le and Wang, Jian-Li and Chen, Yong and Jiang, Tai-Xiang and Liu, Jun}, 
  journal={IEEE Transactions on Computational Imaging},
  volume = { },
  pages = { },
  year = {2021},
  note = {doi: 10.1109/TCI.2021.3126232},
}

Jia-Yi Li, Jin-Yu Xie, Yi-Si Luo, Xi-Le Zhao, Jian-Li Wang, “H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization”, IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2023.3294933, 2023. [BibTeX] [PDF]

@ARTICLE{jiayiH2TF_LGRS2023,
  author={Li, Jia-Yi and Xie, Jin-Yu and Luo, Yi-Si and Zhao, Xi-Le and Wang, Jian-Li},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization}, 
  year={2023},
  volume={20},
  number={},
  pages={1-5},
  doi={10.1109/LGRS.2023.3294933}}

Experiences

09/2019-Current: University of Electronic Science and Technology of China (UESTC); Ph. D. student in Applied Mathematics (Supervisor: Prof. Ting-Zhu Huang)
09/2017-06/2019: University of Electronic Science and Technology of China (UESTC); Master student in Applied Mathematics (Supervisor: Prof. Ting-Zhu Huang)
09/2013-06/2017: Neijiang Normal University; Bachelor student in the School of Mathematical Sciences (Supervisor: Prof. Yongguo Shi)

Awards and Honors

Academic Scholarship for Ph. D. student, UESTC, 2021
Academic Scholarship for Ph. D. student, UESTC, 2020
Special postgraduate scholarship of science, UESTC, 2019

Academic Activities

Reports

10/2021: “Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform”, CSIAM 2021, Anhui, China, [Slide]
07/2021: “Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior”, IGARSS 2021, Online, [Slide]