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ORCIDFang Li 0004
Person information
- affiliation (PhD 2007): East China Normal University, Department of Mathematics, Shanghai, China
Other persons with the same name
- Fang Li — disambiguation page
- Fang Li 0001 — Shanghai Jiao Tong University, Department of Computer Science, China
- Fang Li 0002 — Chinese Academy of Sciences, Institute of Electronics, Beijing, China (and 1 more)
- Fang Li 0003 — Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China
- Fang Li 0005
![[0000-0002-4195-9475]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4195-9475")
— South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more) - Fang Li 0006 — Henan University of Technology, College of Science, Zhengzhou, China
- Fang Li 0007 — TU Munich, Germany
- Fang Li 0008 — Wuhan University of Technology, School of Automation, China (and 2 more)
- Fang Li 0009 — Nanyang Technological University, School of Computer Engineering, Singapore
- Fang Li 0010 — University of Texas at Dallas, Computer Science Department, Richardson, TX, USA
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2020 – today
- 2025
[j57]Tingting Li, Fang Li, Huiqing Qi:
A piecewise gradient prior for small structures and contrast preserving image smoothing. Appl. Math. Comput. 507: 129557 (2025)- [j56]Ruizhi Hou, Fang Li:
Hyperspectral image denoising via cooperated self-supervised CNN transform and nonconvex regularization. Neurocomputing 616: 128912 (2025) - [j55]Haobo Xu, Fang Li:
Blind deconvolution via a tensor adaptive non-convex total variation prior. J. Comput. Appl. Math. 463: 116511 (2025) - [j54]Xuesong Chen, Fang Li:
Single-Shot Phase Retrieval Via Gradient-Sparse Non-Convex Regularization Integrating Physical Constraints. J. Sci. Comput. 102(3): 63 (2025) - [j53]Faming Fang, Tingting Wang, Guixu Zhang, Fang Li:
Digging Deeper in Gradient for Unrolling-Based Accelerated MRI Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 4156-4169 (2025) - [j52]Haobo Xu, Fang Li:
Smoothing Priors for Blind Image Deblurring. SIAM J. Imaging Sci. 18(1): 216-245 (2025) - [j51]Ruizhi Hou, Fang Li:
Denoising Knowledge Transfer Model for Zero-Shot MRI Reconstruction. IEEE Trans. Computational Imaging 11: 52-64 (2025) - [j50]Peng Chen, Fang Li, Deliang Wei, Changhong Lu:
Low-Rank and Deep Plug-and-Play Priors for Missing Traffic Data Imputation. IEEE Trans. Intell. Transp. Syst. 26(2): 2690-2706 (2025) - [j49]Ruizhi Hou, Fang Li, Tieyong Zeng:
Fast and Reliable Score-Based Generative Model for Parallel MRI. IEEE Trans. Neural Networks Learn. Syst. 36(1): 953-966 (2025) - [c5]Huiqing Qi, Xiaoliu Luo, Tingting Li, Fang Li:
Edge-aware Image Smoothing with Relative Wavelet Domain Representation. ICLR 2025 - 2024
- [j48]Tingting Li, Fang Li, Huiqing Qi:
A Weibull gradient prior for image restoration. J. Comput. Appl. Math. 439: 115594 (2024) - [c4]Zhenggang Yang, Faming Fang, Qiaosi Yi, Guixu Zhang, Fang Li:
HFF-Net: A High-Frequency Fidelity Model for Accelerated Parallel MRI Reconstruction. ICME 2024: 1-6 - [c3]Deliang Wei, Peng Chen, Fang Li:
Learning Pseudo-Contractive Denoisers for Inverse Problems. ICML 2024 - [i2]Deliang Wei, Peng Chen, Fang Li:
Learning pseudo-contractive denoisers for inverse problems. CoRR abs/2402.05637 (2024) - 2023
- [j47]Deliang Wei, Fang Li, Shiyang Weng:
Cauchy Noise Removal via Convergent Plug-and-Play Framework with Outliers Detection. J. Sci. Comput. 96(3): 76 (2023) - [j46]Fang Li, Xiao-Guang Lv:
A Nonconvex Nonsmooth Image Prior Based on the Hyperbolic Tangent Function. J. Sci. Comput. 97(3) (2023) - [j45]Deliang Wei, Peng Chen, Fang Li, Xiangyun Zhang:
Efficient second-order optimization with predictions in differential games. Optim. Methods Softw. 38(5): 861-886 (2023) - [j44]Jing Yu, Fang Li, Xuyue Hu:
Two-Stage Decolorization Based on Histogram Equalization and Local Variance Maximization. SIAM J. Imaging Sci. 16(2): 740-769 (2023) - [j43]Fang Li, Faming Fang, Zhi Li, Tieyong Zeng:
Single image noise level estimation by artificial noise. Signal Process. 213: 109215 (2023) - 2022
- [j42]Deliang Wei, Fang Li:
Flexible parameter selection methods for Rician noise removal with convergence guarantee. Int. J. Comput. Math. 99(11): 2250-2271 (2022) - [j41]Yamin Ru, Fang Li, Faming Fang, Guixu Zhang:
Patch-based weighted SCAD prior for compressive sensing. Inf. Sci. 592: 137-155 (2022) - [j40]Ruizhi Hou, Fang Li:
IDPCNN: Iterative denoising and projecting CNN for MRI reconstruction. J. Comput. Appl. Math. 406: 113973 (2022) - [j39]Fang Li, Yamin Ru, Xiao-Guang Lv:
Patch-Based Weighted SCAD Prior for Rician Noise Removal. J. Sci. Comput. 90(1): 26 (2022) - [j38]Ruizhi Hou, Fang Li, Guixu Zhang:
Truncated Residual Based Plug-and-Play ADMM Algorithm for MRI Reconstruction. IEEE Trans. Computational Imaging 8: 96-108 (2022) - 2021
- [j37]Ruizhi Hou, Fang Li:
Error feedback denoising network. IET Image Process. 15(7): 1508-1517 (2021) - [j36]Xiao-Guang Lv, Jun Liu, Fang Li, Xuan-Liang Yao:
Blind motion deconvolution for binary images. J. Comput. Appl. Math. 393: 113500 (2021) - [j35]Jing Yu, Fang Li, Xiao-Guang Lv:
Contrast preserving decolorization based on the weighted normalized L1 norm. Multim. Tools Appl. 80(21): 31753-31782 (2021) - [j34]Jiaqian Li, Juncheng Li, Faming Fang, Fang Li, Guixu Zhang:
Luminance-Aware Pyramid Network for Low-Light Image Enhancement. IEEE Trans. Multim. 23: 3153-3165 (2021) - 2020
- [j33]Zhihao Gu, Fang Li, Faming Fang, Guixu Zhang:
A Novel Retinex-Based Fractional-Order Variational Model for Images With Severely Low Light. IEEE Trans. Image Process. 29: 3239-3253 (2020) - [c2]Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang:
Enhanced Sparse Model for Blind Deblurring. ECCV (25) 2020: 631-646
2010 – 2019
- 2019
- [j32]Fang Li, Michael K. Ng:
Image colorization by using graph bi-Laplacian. Adv. Comput. Math. 45(3): 1521-1549 (2019) - [j31]Jiuning Chen, Fang Li:
Denoising convolutional neural network with mask for salt and pepper noise. IET Image Process. 13(13): 2604-2613 (2019) - [j30]Tingting Wang, Faming Fang, Fang Li, Guixu Zhang:
High-Quality Bayesian Pansharpening. IEEE Trans. Image Process. 28(1): 227-239 (2019) - [j29]Wei Wang, Fang Li, Michael K. Ng:
Structural Similarity-Based Nonlocal Variational Models for Image Restoration. IEEE Trans. Image Process. 28(9): 4260-4272 (2019) - 2018
- [j28]Fang Li, Xiao-Guang Lv, Ziwei Deng:
Regularized iterative Weiner filter method for blind image deconvolution. J. Comput. Appl. Math. 336: 425-438 (2018) - [j27]Xiao-Guang Lv, Fang Li:
Binary image deblurring with automatic binary value estimation. J. Electronic Imaging 27(03): 033043 (2018) - 2017
- [j26]Fang Li, Xiao-Guang Lv:
A Decoupled method for image inpainting with patch-based low rank regulariztion. Appl. Math. Comput. 314: 334-348 (2017) - [j25]Fang Li, Jing Qin:
Robust fuzzy local information and L p -norm distance-based image segmentation method. IET Image Process. 11(4): 217-226 (2017) - [j24]Congkun Chen, Yun Sheng, Fang Li, Guixu Zhang, Hassan Ugail:
A PDE-based head visualization method with CT data. Comput. Animat. Virtual Worlds 28(1) (2017) - 2016
- [j23]Fang Li, Stanley J. Osher, Jing Qin, Ming Yan:
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity. J. Sci. Comput. 69(1): 82-106 (2016) - [j22]Fang Li, Tieyong Zeng:
A New Algorithm Framework for Image Inpainting in Transform Domain. SIAM J. Imaging Sci. 9(1): 24-51 (2016) - 2015
- [j21]Xiao-Guang Lv, Yongzhong Song, Fang Li:
An efficient nonconvex regularization for wavelet frame and total variation based image restoration. J. Comput. Appl. Math. 290: 553-566 (2015) - [i1]Fang Li, Stanley J. Osher, Jing Qin, Ming Yan:
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity. CoRR abs/1504.02206 (2015) - 2014
- [j20]Faming Fang, Guixu Zhang, Fang Li, Chaomin Shen:
Framelet based pan-sharpening via a variational method. Neurocomputing 129: 362-377 (2014) - [j19]Zhengmeng Jin, Fang Li, Michael K. Ng:
A Variational Approach for Image Decolorization by Variance Maximization. SIAM J. Imaging Sci. 7(2): 944-968 (2014) - [j18]Faming Fang, Fang Li, Tieyong Zeng:
Single Image Dehazing and Denoising: A Fast Variational Approach. SIAM J. Imaging Sci. 7(2): 969-996 (2014) - [j17]Fang Li, Tieyong Zeng:
A Universal Variational Framework for Sparsity-Based Image Inpainting. IEEE Trans. Image Process. 23(10): 4242-4254 (2014) - 2013
- [j16]Fang Li, Tieyong Zeng:
Image Restoration via Tight Frame Regularization and Local Constraints. J. Sci. Comput. 57(2): 349-371 (2013) - [j15]Faming Fang, Fang Li, Chaomin Shen, Guixu Zhang:
A Variational Approach for Pan-Sharpening. IEEE Trans. Image Process. 22(7): 2822-2834 (2013) - 2012
- [j14]Fang Li, Tieyong Zeng, Guixu Zhang:
Lagrangian multipliers and split Bregman methods for minimization problems constrained on Sn-1. J. Vis. Commun. Image Represent. 23(7): 1041-1050 (2012) - [j13]Fang Li, Michael K. Ng, Robert J. Plemmons:
Coupled segmentation and denoising/deblurring models for hyperspectral material identification. Numer. Linear Algebra Appl. 19(1): 153-173 (2012) - [j12]Fang Li, Ling Pi, Tieyong Zeng:
Explicit Coherence Enhancing Filter With Spatial Adaptive Elliptical Kernel. IEEE Signal Process. Lett. 19(9): 555-558 (2012) - 2011
- [j11]Fang Li, Chaomin Shen, Ruihua Liu, Jinsong Fan:
A fast implementation algorithm of TV inpainting model based on operator splitting method. Comput. Electr. Eng. 37(5): 782-788 (2011) - [j10]Fang Li, Zheng Bao, Ruihua Liu, Guixu Zhang:
Fast image inpainting and colorization by Chambolle's dual method. J. Vis. Commun. Image Represent. 22(6): 529-542 (2011) - 2010
- [j9]Fang Li, Chaomin Shen, Chunming Li:
Multiphase Soft Segmentation with Total Variation and H1 Regularization. J. Math. Imaging Vis. 37(2): 98-111 (2010) - [j8]Fang Li, Michael K. Ng, Chunming Li:
Variational Fuzzy Mumford--Shah Model for Image Segmentation. SIAM J. Appl. Math. 70(7): 2750-2770 (2010) - [j7]Fang Li, Michael K. Ng, Chaomin Shen:
Multiplicative Noise Removal with Spatially Varying Regularization Parameters. SIAM J. Imaging Sci. 3(1): 1-20 (2010) - [j6]Fang Li, Michael K. Ng, Tieyong Zeng, Chunli Shen:
A Multiphase Image Segmentation Method Based on Fuzzy Region Competition. SIAM J. Imaging Sci. 3(3): 277-299 (2010) - [c1]Fang Li, Michael K. Ng, Robert J. Plemmons, Sudhakar Prasad, Qiang Zhang:
Hyperspectral image segmentation, deblurring, and spectral analysis for material identification. Visual Information Processing 2010: 770103
2000 – 2009
- 2009
- [j5]Fang Li, Chaomin Shen, Chunli Shen, Guixu Zhang:
Variational denoising of partly textured images. J. Vis. Commun. Image Represent. 20(4): 293-300 (2009) - [j4]Xiaoxia Guo, Fang Li, Michael K. Ng:
A Fast l1-TV Algorithm for Image Restoration. SIAM J. Sci. Comput. 31(3): 2322-2341 (2009) - 2007
- [j3]Ling Pi, Chaomin Shen, Fang Li, Jinsong Fan:
A variational formulation for segmenting desired objects in color images. Image Vis. Comput. 25(9): 1414-1421 (2007) - [j2]Fang Li, Chaomin Shen, Jingsong Fan, Chunli Shen:
Image restoration combining a total variational filter and a fourth-order filter. J. Vis. Commun. Image Represent. 18(4): 322-330 (2007) - 2006
- [j1]Fang Li, Chaomin Shen, Ling Pi:
A New Diffusion-Based Variational Model for Image Denoising and Segmentation. J. Math. Imaging Vis. 26(1-2): 115-125 (2006)
Coauthor Index
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