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  • Fang Li, Yamin Ru and Xiao-Guang Lv. Patch-based weighted SCAD prior for Rician noise removal. Journal of Scientific Computing 90(1):1-19, 2022.

  • Ruizhi Hou, Fang Li and Guixu Zhang. Truncated residual based Plug-and-Play ADMM algorithm for MRI reconstruction. IEEE Transactions on Computational Imaging, vol. 8, pp. 96-108, 2022.

  • Yamin Ru, Fang Li, Faming Fang, and Guixu Zhang. Patch-based weighted SCAD prior for compressive sensing. Information Sciences 592:137–155, 2022.

  • Ruizhi Hou and Fang Li, IDPCNN: Iterative denoising and projecting CNN for MRI reconstruction. Journal of Computational and Applied Mathematics, 406, 113973. 2022.

  • Deiliang Wei and Fang Li. Flexible parameter selection methods for Rician noise removal with convergence guarantee. International Journal of Computer Mathematics. 1-22, 2022.

  • Xiao-Guang Lv, Fang Li, Jun Liu and Sheng-Tai Lu, A patch-based low-rank minimization approach for speckle noise reduction in ultrasound images, Advances in Applied Mathematics and Mechanics, 14: 155-180. 2022.


  • Fang Li and Yuanmin Zhu. Smoothing and Clustering Guided Image Decolorization. Image Analysis & Stereology, 40(1): 17-27, 2021.

  • Ruizhi Hou and Fang Li. Error feedback denoising network. IET Image Processing, 15(7): 1508-1517, 2021.

  • Yu, Jing, Fang Li and Xiaoguang Lv. Contrast preserving decolorization based on the weighted normalized L1 norm. Multimedia Tools and Applications, 80(21): 31753-31782, 2021.

  • Xiao-Guang Lv, Jun Liu, Fang Li and Xuan-Liang Yao, Blind motion deconvolution for binary images, Journal of Computational and Applied Mathematics, 393, 113500, 2021.


  • Zhihao Gu, Fang Li, Faming Fang, and Guixu Zhang. A novel retinex-based fractional-order variational model for images with severely low light. IEEE Transactions on Image Processing, 29:3239–3253, 2020.

  • Xiao-Guang Lv and Fang Li. An iterative decoupled method with weighted nuclear norm minimization for image restoration. International Journal of Computer Mathematics, 97(3):602–623, 2020.

  • Liang Chen, Faming Fang, Shen Lei, Fang Li, and Guixu Zhang. Enhanced sparse model for blind deblurring. In European Conference on Computer Vision, pages 631–646. Springer, 2020.

  • Jiaqian Li, Juncheng Li, Faming Fang, Fang Li, and Guixu Zhang. Luminance-aware pyramid network for low-light image enhancement. IEEE Transactions on Multimedia, 23: 3153–3165, 2020.


  • Zhihao Gu, Fang Li, and Xiao-Guang Lv. A detail preserving variational model for image retinex. Applied Mathematical Modelling, 68:643–661, 2019.

  • Wei Wang, Fang Li, and Michael K Ng. Structural similarity-based nonlocal variational models for image restoration. IEEE Transactions on Image Processing, 28(9):4260–4272, 2019.

  • Fang Li and Michael K Ng. Image colorization by using graph bi-Laplacian. Advances in Computational Mathematics, 45(3):1521–1549, 2019.

  • Jiuning Chen and Fang Li. Denoising convolutional neural network with mask for salt and pepper noise. IET Image Processing, 13(13):2604–2613, 2019.

  • Tingting Wang, Faming Fang , Fang Li and Guixu Zhang. High-Quality Bayesian Pansharpening. IEEE Transactions on Image Processing, 28(1):227-239,2019.











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