 | 刘新武，男，博士，副教授，硕士生导师。主要从事图像处理、数值最优化、深度学习方面的研究。近年来，主持国家自然科学基金项目1项、广西自然科学基金项目1项、湖南省自然科学基金项目2项以及湖南省教育厅项目3项；以第一或通讯作者在IEEE Transactions on Circuits and Systems II、Signal Processing、Applied Numerical Mathematics、Mathematics and Computers in Simulation、IEEE Signal Processing Letters、Journal of Computational and Applied Mathematics和Computers & Mathematics with Applications等国际期刊发表SCI论文30余篇。 电子邮箱：xinwul@126.com |
l 2023/07～迄今，广西民族大学，数学科学学院，教师
l 2011/06～2023/06，湖南科技大学，数学与统计学院，教师
l 2006/09～2011/06，湖南大学，应用数学，硕博连读
l 国家自然科学基金青年项目，基于全广义变差和小波变换的图像卡通-纹理分解研究。
l 广西自然科学基金面上项目，纹理图像复原的非凸振荡TGV正则化模型与高效算法研究。
l 湖南省自然科学基金面上项目，非凸全广义变差正则化的图像复原模型和快速算法研究。
l 湖南省自然科学基金青年项目，全广义变差正则化的图像复原模型及算法研究。
l 湖南省教育厅重点项目，图像复原的非凸分数阶变分模型和优化算法研究。
l 湖南省教育厅优秀青年项目，基于非凸TGV和小波框架的图像恢复新方法研究。
l 湖南省教育厅一般项目，图像复原与分解的变分PDE新方法研究。
l Xinwu Liu*, Xiang Yu, Jiangli Liang, Minimax concave penalty-based TGV model for Poissonian image restoration, Mathematics and Computers in Simulation, 2025, 238, 25-44. (SCI)
l Xinwu Liu*, Hyperspectral mixed noise removal using nonconvex low-rank and total generalized variation, Signal Processing: Image Communication, 2025, 138, 117344. (SCI)
l Wenhui Lian, Xinwu Liu*, Yue Chen, Non-convex fractional-order TV model for image inpainting, Multimedia Systems, 2025, 31(1), 17. (SCI)
l Xinwu Liu*, Ting Sun, Mixed Gaussian-impulse noise removal using non-convex high-order TV penalty, Applied Numerical Mathematics, 2024, 201, 72-84. (SCI)
l Xinwu Liu*, Yingying Li, Wenhui Lian, Impulse noise removal by using nonconvex TGV regularizer and nonconvex fidelity, Journal of the Franklin Institute, 2023, 360(11), 7357-7379. (SCI)
l Ting Sun, Xinwu Liu*, Non-convex TGV regularized ℓ0-norm fidelity model for impulse noise removal, Signal Processing, 2023, 212, 109125. (SCI)
l Wenhui Lian, Xinwu Liu*, Non-convex fractional-order TV model for impulse noise removal, Journal of Computational and Applied Mathematics, 2023, 417, 114615. (SCI)
l Daiqin Li, Xinwu Liu*, Anisotropic total generalized variation model for Poisson noise removal, Multimedia Tools and Applications, 2023, 82(13), 19607-19620. (SCI)
l Xinwu Liu*, Wenhui Lian, Non-convex high-order TV and ℓ0-norm wavelet frame-based speckle noise reduction, IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(12), 5174-5178. (SCI)
l Xinwu Liu*, Ting Sun, Hybrid non-convex regularizers model for removing multiplicative noise, Computers & Mathematics with Applications, 2022, 126, 182-195. (SCI)
l Xinwu Liu*, Wenhui Lian, Restoration of Poissonian images using non-convex regularizer with overlapping group sparsity, Informatica, 2022, 33(3), 573-592. (SCI)
l Xinwu Liu*, Non-convex variational model for image restoration under impulse noise, Signal, Image and Video Processing, 2022, 16(6), 1549-1557. (SCI)
l Xinwu Liu*, Yingying Li, Poisson noise removal using non-convex total generalized variation, Iranian Journal of Science and Technology, Transaction A: Science, 2021, 45(6), 2073-2084. (SCI)
l Xinwu Liu*, Adaptive regularization parameter for nonconvex TGV based image restoration, Signal Processing, 2021, 188, 108247. (SCI)
l Xinwu Liu*, Nonconvex total generalized variation model for image inpainting, Informatica, 2021, 32(2), 357-370. (SCI)
l Xinwu Liu*, Proximal alternating minimization method for adaptive TGV-based image restoration, Multimedia Tools and Applications, 2021, 80(7), 10601-10614. (SCI)
l Xinwu Liu*, Yue Chen, NLTV-Gabor-based models for image decomposition and denoising, Signal, Image and Video Processing, 2020, 14(2), 305-313. (SCI)
l Xinwu Liu*, Total generalized variation and wavelet frame-based adaptive image restoration algorithm, The Visual Computer, 2019, 35(12), 1883-1894. (SCI)
l Xinwu Liu*, Total generalized variation and shearlet transform based Poissonian image deconvolution, Multimedia Tools and Applications, 2019, 78(13), 18855-18868. (SCI)
l Xinwu Liu*, Primal-dual method for hybrid regularizers-based image restoration with impulse noise, Circuits, Systems, and Signal Processing, 2019, 38(3), 1318-1332. (SCI)
l Xinwu Liu*, A new TGV-Gabor model for cartoon-texture image decomposition, IEEE Signal Processing Letters, 2018, 25(8), 1221-1225. (SCI)
l Xinwu Liu*, Alternating direction method for image reconstruction corrupted by impulse noise, Multimedia Tools and Applications, 2017, 76(10), 12505-12516. (SCI)
l Xinwu Liu*, Augmented Lagrangian method for total generalized variation based Poissonian image restoration, Computers & Mathematics with Applications, 2016, 71(8), 1694-1705. (SCI)
l Xinwu Liu*, Weighted total generalised variation scheme for image restoration, IET Image Processing, 2016, 10(1), 80-88. (SCI)
l Xinwu Liu*, Efficient algorithms for hybrid regularizers based image denoising and deblurring, Computers & Mathematics with Applications, 2015, 69(7), 675-687. (SCI)
l Xinwu Liu*, Lihong Huang, An efficient algorithm for adaptive total variation based image decomposition and restoration, International Journal of Applied Mathematics and Computer Science, 2014, 24(2), 405-415. (SCI)
l Xinwu Liu*, Lihong Huang, A new nonlocal total variation regularization algorithm for image denoising, Mathematics and Computers in Simulation, 2014, 97, 224-233. (SCI)
l Xinwu Liu*, Lihong Huang, Poissonian image reconstruction using alternating direction algorithm, Journal of Electronic Imaging, 2013, 22(3), 033007. (SCI)
l Xinwu Liu*, Lihong Huang, Total bounded variation based Poissonian images recovery by split Bregman iteration, Mathematical Methods in the Applied Sciences, 2012, 35(5), 520-529. (SCI)
l Xinwu Liu, Lihong Huang*, Zhenyuan Guo, Adaptive fourth-order partial differential equation filter for image denoising, Applied Mathematics Letters, 2011, 24(8), 1282-1288. (SCI)
l Xinwu Liu, Lihong Huang*, Split Bregman iteration algorithm for total bounded variation regularization based image deblurring, Journal of Mathematical Analysis and Applications, 2010, 372 (2), 486-495. (SCI)
