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Jin-Liang Xiao
(肖金良)

Ph.D. Student
UESTC
jinliang_xiao@163.com


About Me

I’m currently working toward the Ph.D. degree (advised by Prof. Ting-Zhu Huang and Prof. Liang-Jian Deng) in mathematics with the School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China.

Before that, I received the B.S. degree in mathematics and applied mathematics from the Yunnan University, Kunming, Yunnan, China. In 2016 and 2017, I was a Joint-Training B.S. student in Fudan University.

From Nov. 2023 to Oct. 2024, I was an intern with the Tensor Learning Team, RIKEN AIP, Tokyo, Japan, under the supervision of Prof. Qibin Zhao.

My research interest is mainly focusing on image fusion, Tensor Learning, Deep Learning.

Publications [Google Scholar][DBLP]

  1. CVPR
    Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
    Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng, Guang Lin, Zihan Cao, Chao Li, Qibin Zhao*
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025.
    PDF Code BibTex
  2. IPI
    A novel L0 minimization framework of tensor tubal rank and its multi-dimensional image completion application
    Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Hong-Xia Dou
    Inverse Problems and Imaging, 2024.
    PDF Code Project Page BibTex
  3. EAJAM
    A Novel Nonconvex Rank Approximation with Application to the Matrix Completion
    Jin-Liang Xiao, Ting-Zhu Huang*, Zhong-Cheng Wu, and Liang-Jian Deng*
    East Asian Journal on Applied Mathematics, 2024.
    PDF Code BibTex
  4. IGARSS
    A Novel Fidelity Based on the Adaptive Domain for Pansharpening
    Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Ting Xu
    IEEE International Geoscience and Remote Sensing Symposium, 2024.
    PDF Code Slide BibTex
  5. TGRS
    Variational Pansharpening Based on Coefficient Estimation with Nonlocal Regression
    Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Zhong-Cheng Wu, Xiao Wu, and Gemine Vivone
    IEEE Transactions on Geoscience and Remote Sensing, 2023.
    PDF Code Project Page BibTex
  6. TGRS
    A New Context-Aware Details Injection Fidelity with Adaptive Coefficients Estimation for Variational Pansharpening
    Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Zhong-Cheng Wu, and Gemine Vivone
    IEEE Transactions on Geoscience and Remote Sensing, 2022.
    PDF Code Project Page BibTex

  7. Deep Learning in Remote Sensing Image Fusion: Methods, protocols, data, and future perspectives
    Gemine Vivone, Liang-Jian Deng, Shangqi Deng, Danfeng Hong, Menghui Jiang, Chenyu Li, Wei Li, Huanfeng Shen, Xiao Wu, Jin-Liang Xiao, Jing Yao, Mengmeng Zhang, Jocelyn Chanussot, Salvador García, Antonio Plaza
    IEEE Geoscience and Remote Sensing Magazine, 2024.

  8. A Coupled Tensor Double-Factor Method for Hyperspectral and Multispectral Image Fusion
    Ting Xu, Ting-Zhu Huang*, Liang-Jian Deng*, Jin-Liang Xiao, Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya
    IEEE Transactions on Geoscience and Remote Sensing, 2024.

  9. Endmember Distinguished Low-Rank and Sparse Representation for Hyperspectral Unmixing
    Ruifeng Ren, Jin-Liang Xiao, Jie Huang*
    IEEE International Geoscience and Remote Sensing Symposium, 2024. [Slide]


Experiences

Educations

Reviewer

Awards and Honors