Liang-Jian Deng  (邓良剑)

   

    University of Electronic Science and Technology of China

    Email: liangjian.deng@uestc.edu.cn

    Office: Innovation Center A-401, Qingshuihe Campus, Chengdu, Sichuan, China

I am a professor in the School of Mathematical Sciences of UESTC (电子科技大学).

I received B.S. and Ph.D. degrees (supervised by Prof. Ting-Zhu Huang) from the School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), in 2010 and 2016, respectively. From Sept. 2013 to Sept. 2014, I followed Prof. Weihong Guo at Case Western Reserve University (CWRU), Cleveland, USA, as a Joint-Training Ph.D. student. In 2017, I was working as a postdoc. by Prof. Xue-Cheng Tai in HKBU (Hong Kong, China). In addition, I also stayed at Isaac Newton Institute for Mathematical Sciences (Cambridge University) and HKBU for short visits. My research interest is mainly focusing on using PDE, Optimization modeling and Deep learning to address several tasks in image processing and computer vision, e.g., resolution enhancement, restoration, etc.

 

Research Projects (Click logos):

                                      

 

Publications (Selected):

More papers info., please visit: Google Scholar Profile (300+ citations)


  • Laplacian Pyramid Networks: A New Approach for Multispectral Pansharpening
    Cheng Jin, Liang-Jian Deng*, Ting-Zhu Huang, Gemine Vivone
    Information Fusion, 2022.
    [PDF]  [BibTeX]
    @ARTICLE{jinif2021,
    	author={Jin, Cheng and Deng, Liang-Jian and Huang, Ting-Zhu and Vivone, Gemine},
    	journal={Information Fusion}, 
    	title={Laplacian Pyramid Networks: A New Approach for Multispectral Pansharpening}, 
    	year={2022},
    	volume={78},
    	number={},
    	pages={158-170},
    	doi={}
       }
    
     [Project Page]

  • Dynamic Cross Feature Fusion for Remote Sensing Pansharpening
    Xiao Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Tian-Jing Zhang
    IEEE International Conference on Computer Vision (ICCV), 2021.
    [PDF]  [Poster]  [BibTeX]
    @InProceedings{Wu_2021_ICCV,
        author    = {Wu, Xiao and Huang, Ting-Zhu and Deng, Liang-Jian and Zhang, Tian-Jing},
        title     = {Dynamic Cross Feature Fusion for Remote Sensing Pansharpening},
        booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
        month     = {October},
        year      = {2021},
        pages     = {14687-14696}
    }
    
     [Project Page will be available]

  • SSconv: Explicit Spectral-to-Spatial Convolution for Pansharpening
    Yudong Wang, Liang-Jian Deng*, Tian-Jing Zhang, Xiao Wu
    ACM International Conference on Multimedia (ACM MM), 2021.
    [PDF]  [BibTeX]
    @ARTICLE{mucnn,
    author={Yudong Wang, Liang-Jian Deng, Tian-Jing Zhang, Xiao Wu},
    booktitle={Proceedings of the 29th ACM International Conference on Multimedia (ACM MM)},
    title={SSconv: Explicit Spectral-to-Spatial Convolution for Pansharpening},
    year={2021},
    pages={DOI: 10.1145/3474085.3475600.},
    }
    
     [Project Page]

  • BAM: Bilateral Activation Mechanism for Image Fusion
    Zi-Rong Jin, Liang-Jian Deng*, Tian-Jing Zhang, Xiaoxu Jin
    ACM International Conference on Multimedia (ACM MM), 2021.
    [PDF]  [BibTeX]
    @ARTICLE{BAM,
    author={Zi-Rong Jin , Liang-Jian Deng, Tian-Jing Zhang, Xiaoxu Jin},
    journal={Proceedings of the 29th ACM International Conference on Multimedia (ACM MM)},
    title={BAM: Bilateral Activation Mechanism for Image Fusion},
    year={2021},
    volume={},
    number={},
    pages={DOI: 10.1145/3474085.3475571},
    }
    
     [Project Page]

  • Hyperspectral Image Super-resolution via Deep Spatio-spectral Attention Convolutional Neural Networks
    Jin-Fan Hu, Ting-Zhu Huang*, Liang-Jian Deng*, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot
    IEEE Transactions on Neural Networks and Learning Systems , 2021.
    [PDF]  [BibTeX]
    @ARTICLE{Hutnnls,
    	author={Hu, Jin-Fan and Huang, Ting-Zhu and Deng, Liang-Jian and Jiang, Tai-Xiang and Vivone, Gemine and Chanussot, Jocelyn},
    	journal={IEEE Transactions on Neural Networks and Learning Systems}, 
    	title={Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks}, 
    	year={2021},
    	doi={10.1109/TNNLS.2021.3084682}
       }
    
     [Project Page]

  • A Multigrid Algorithm For Maxflow And Min-Cut Problems With Applications To Multiphase Image Segmentation
    Xue-Cheng Tai, Liang-Jian Deng*, Ke Yin
    Journal of Scientific Computing, 2021.
    [PDF]  [BibTeX]
    @ARTICLE{taijsc,
    	author={Tai, Xue-Cheng and Deng, Liang-Jian and Yin, Ke},
    	journal={Journal of Scientific Computing}, 
    	title={A Multigrid Algorithm for Maxflow and Min-Cut Problems with Applications to Multiphase Image Segmentation}, 
    	year={2021},
    	volume={87},
    	number={101},
    	doi={10.1007/s10915-021-01458-3}
       }
    

  • VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening
    Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Jin-Fan Hu, Gemine Vivone
    IEEE Transactions on Geoscience and Remote Sensing, 2021.
    [PDF]  [BibTeX]
    @ARTICLE{wutgrs,
      author={Wu, Zhong-Cheng and Huang, Ting-Zhu and Deng, Liang-Jian and Hu, Jin-Fan and Vivone, Gemine},
      journal={IEEE Transactions on Geoscience and Remote Sensing}, 
      title={VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening}, 
      year={2021},
      volume={},
      number={},
      pages={1-16},
      doi={10.1109/TGRS.2021.3066425}}
    
     [Project Page]

  • Detail Injection-based Deep Convolutional Neural Networks for Pansharpening
    Liang-Jian Deng, Gemine Vivone*, Cheng Jin, Jocelyn Chanussot
    IEEE Transactions on Geoscience and Remote Sensing, 2021.
    [PDF]  [BibTeX]
    @ARTICLE{dengtgrs,
      author={Deng, Liang-Jian and Vivone, Gemine and Jin, Cheng and Chanussot, Jocelyn},
      journal={IEEE Transactions on Geoscience and Remote Sensing}, 
      title={Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening}, 
      year={2021},
      volume={59},
      number={8},
      pages={6995-7010},
      doi={10.1109/TGRS.2020.3031366}}
    
     [Project Page]

  • Nonlocal Tensor-Based Sparse Hyperspectral Unmixing
    Jie Huang*, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng
    IEEE Transactions on Geoscience and Remote Sensing, 2021.
    [PDF]  [BibTeX]
    @ARTICLE{huangtgrs,
      author={Huang, Jie and Huang, Ting-Zhu and Zhao, Xi-Le and Deng, Liang-Jian},
      journal={IEEE Transactions on Geoscience and Remote Sensing}, 
      title={Nonlocal Tensor-Based Sparse Hyperspectral Unmixing}, 
      year={2021},
      volume={59},
      number={8},
      pages={6854-6868},
      doi={10.1109/TGRS.2020.3030233}}
    
     [Matlab_Code]

  • A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-spectral Image Fusion
    Zhong-Chen Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Gemine Vivone, Jia-Qing Miao, Jin-Fan Hu, Xi-Le Zhao
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.
    [PDF]  [BibTeX]
    @ARTICLE{wujstars2020,
      author={Wu, Zhong-Cheng and Huang, Ting-Zhu and Deng, Liang-Jian and Vivone, Gemine and Miao, Jia-Qing and Hu, Jin-Fan and Zhao, Xi-Le},
      journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
      title={A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-Spectral Image Fusion}, 
      year={2020},
      volume={13},
      number={},
      pages={6277-6290},
      doi={10.1109/JSTARS.2020.3030129}}
    
     [Project Page]

  • Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network
    YT Wang, XL Zhao, TX Jiang, Liang-Jian Deng, Y Chang, TZ Huang
    IEEE Transactions on Neural Networks and Learning Systems, 2020.
    [PDF]  [Code_Link]

  • Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition
    Ting-Xu, Ting-Zhu Huang*, Liang-Jian Deng*, Xi-Le Zhao, Jie Huang
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.
    [PDF]  [BibTeX]
    @ARTICLE{xujstars2020,
      author={Xu, Ting and Huang, Ting-Zhu and Deng, Liang-Jian and Zhao, Xi-Le and Huang, Jie},
      journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
      title={Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition}, 
      year={2020},
      volume={13},
      number={},
      pages={4381-4398},
      doi={10.1109/JSTARS.2020.3012566}}
    
     [Matlab_Code]

  • A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing
    Liang-Jian Deng, Roland Glowinski, Xue-Cheng Tai
    SIAM Journal on Imaging Sciences, 12(2):1190-1230, 2019.
    [PDF]  [Matlab_Code]

  • The Fusion of Panchromatic and Multispectral Remote Sensing Images via Tensor-based Sparse Modeling and Hyper-Laplacian Prior
    Liang-Jian Deng, Minyu Feng, Xue-Cheng Tai
    Information Fusion, 52: 76-89, 2019.
    [PDF]  [Matlab_Code]

  • Fastderain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
    Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
    IEEE Transactions on Image Processing, 28(4): 2089-2102, 2019.
    [PDF]  [Code_link]

  • A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function
    Liang-Jian Deng, Gemine Vivone, Weihong Guo*, Mauro Dalla Mura, Jocelyn Chanussot
    IEEE Transactions on Image Processing, 27(9): 4330-4344, 2018.
    [PDF]  [Code will be available]

  • A Total Variation and Group Sparsity Based Tensor Optimization Model for Video Rain Streak Removal
    YT Wang, XL Zhao, TX Jiang, Liang-Jian Deng, TH Ma, YT Zhang, TZ Huang
    Signal Processing: Image Communication, 73:96-108, 2019.
    [PDF]  [Code_link]

  • Joint-Sparse-Blocks and Low-Rank Representation for Hyperspectral Unmixing
    Jie Huang, Ting-Zhu Huang, Liang-Jian Deng Xi-Le Zhao
    IEEE Transactions on Geoscience and Remote Sensing, 57(4):2419-2438, 2018.
    [PDF]  [Matlab_Code]

  • A Directional Global Sparse Model for Single Image Rain Removal
    Liang-Jian Deng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang
    Applied Mathematical Modelling, 59: 662-679, 2018.
    [PDF]  [Matlab_Code]

  • Directional l0 Sparse Modeling for Image Stripe Noise Removal
    Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jie Huang
    Remote Sensing, 10(3): 361, 2018.
    [PDF]  [Matlab_Code]

  • A Novel Tensor-based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors
    Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
     [PDF]  [Supplementary]  [Code_Link]

  • Single Image Super-resolution via An Iterative Reproducing Kernel Hilbert Space Method
    Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang
    IEEE Transactions on Circuits and Systems for Video Technology, 26(11): 2001-2014, 2016, 2016
    [PDF]  [Matlab_Code]

  • Exemplar-based Image Inpainting Using A Modified Priority Definition
    Liang-Jian Deng, Ting-Zhu Huang, Xi-Le Zhao
    PLoS One, 10(10), 2015
    [PDF]  [Matlab_Code]
 

Academic Activities: