
一、个人简介
吕小光,男,教授,博士生导师(中国矿业大学和南京信息工程大学兼职)。电子科技大学获得博士学位,南京师范大学博士后、加州大学洛杉矶分校访问学者、香港浸会大学访问学者、江苏省数学会理事、江苏省工业与应用数学学会理事、江苏省运筹学会理事、江苏省数学会计算数学分会会常务理事,连云港市数学会理事长、连云港市全民健康信息化专家委员会副主任、江苏省高校“青蓝工程”学术带头人、优秀青年骨干教师,连云港市“521高层次人才培养工程”、连云港市“海燕计划”。
从事大规模结构系统高性能算法和预处理技术及在数字图像处理中的应用研究,发表SCI检索学术论文56篇、EI检索学术论文6篇,主持国家自然科学基金2项、江苏省自然科学基金2项、国家博士后基金1项、省博士后基金1项,获得江苏省科学技术二等奖1项、四川省科技进步一等奖1项、江苏省教育科学研究成果二等奖1项、连云港市青年科技奖1项、校优秀教学成果一等奖2项。
联系电话:15961307352
E-Mail: xiaoguanglv@jou.edu.cn
通讯地址:江苏省连云港市苍梧路59号江苏海洋大学理学院
二、研究方向
科学工程与计算、数值线性代数、数值优化算法、数字图像处理及应用。
三、教育经历
1998.09-2002.07 中国地质大学(武汉)\数理系,学士
2004.09-2007.04 电子科技大学\数学科学学院,硕士,导师:黄廷祝
2008.09-2011.12电子科技大学\数学科学学院,博士,导师:黄廷祝
四、工作经历
2002.08-今 江苏海洋大学\理学院 讲师、副教授、教授
2013.03-2015.12 南京师范大学\数学科学学院,博士后,导师:宋永忠
2014.11-2015.11 加州大学洛杉矶分校\数学系,访问学者,导师:Stanley Osher
2016.07-2016.08 香港浸会大学\数学系,访问学者,导师:曾铁勇
五、社会兼职
2022年至今 江苏省工业与应用数学学会理事
2022年至今 江苏省运筹学会理事
2022年至今 江苏省数学会计算数学分会常务理事
2023年至今 江苏省连云港市数学会理事长
六、代表性科研项目
序号 | 项目来源与项目类别 | 项目名称 | 起讫时间 | 经费(万元) |
1 | 国家自然科学基金面上项目 | 基于非凸优化的图像平滑和纹理提取问题研究 | 2022.01-2025.12 | 51 |
2 | 国家自然科学基金青年项目 | 凸优化及稀疏相似性与图像恢复问题研究 | 2015.01-2017.12 | 24 |
3 | 江苏省科技厅自然科学基金面上项目 | 图像盲复原问题的高性能算法研究 | 2018.07-2021.06 | 10 |
4 | 江苏省科技厅自然科学基金面上项目 | 基于成像原理的数字图像复原算法研究 | 2013.07-2016.06 | 10 |
七、代表性科研论文
按文献著录格式
[1] Biao Fang, Xiao-Guang Lv*, Guo-Liang Zhu, Le Jiang, Jia-Qi Mei, An effective lp-nonconvex regularization method for image smoothing, Advances in Applied Mathematics and Mechanics, 2026, 18: 267-295. (SCI)
[2] Jia-Qi Mei, Xiao-Guang Lv*, Biao Fang, Le Jiang, Contrast-preserving image smoothing via the truncated first-order rational function, Signal Processing, 2025, 227: 109700. (SCI)
[3] Biao Fang, Xiao-Guang Lv∗, Guo-Liang Zhu, Jia-Qi Mei, Le Jiang, Edge-preserving smoothing using the truncated minimization, Signal Processing: Image Communication, 2025, 138: 117378. (SCI)
[4] Fang Li and Xiao-Guang Lv, A Nonconvex nonsmooth image prior based on the Hyperbolic tangent function, Journal of Scientific Computing, 2023, 97: 55. (SCI)
[5] Guo-Liang Zhu, Xiao-Guang Lv*, Le Jiang, Xue-Man Sun and Biao Fang, Nonconvex regularization for convex image smoothing, Signal Processing, 2023, 205, 108862. (SCI)
[6] 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, 2022, 14: 155-180. (SCI)
[7] Fang Li, Ya-Min Ru and Xiao-Guang Lv, Patch-based weighted SCAD prior for Rician noise removal, Journal of Scientific Computing, 2022, 90:26. (SCI)
[8] Chang-Qing Yang, Jian-Hua Hou, Xiao-Guang Lv, Jacobi spectral collocation method for solving fractional pantograph delay differential equations, Engineering with Computers, 2022, 38: 1985–1994. (SCI)
[9] Xiao-Guang Lv, Jun Liu, Fang Li and Xuan-Liang Yao, Blind motion deconvolution for binary images, Journal of Computational and Applied Mathematics, 2021, 393: 113500. (SCI)
[10] Xiao-Guang Lv, Fang Li, An iterative decoupled method with weighted nuclear norm minimization for image restoration, International Journal of Computer Mathematics, 2020, 97(3): 602-623. (SCI)
[11] Zhihao Gu, Fang Li, Xiao-Guang Lv, A detail preserving variational model for image retinex, Applied Mathematical Modelling, 2019, 68: 643–661. (SCI)
[12] Fang Li and Xiao-Guang Lv*, Zi-Wei Deng, Regularized iterative weiner filter method for blind image deconvolution, Journal of Computational and Applied Mathematics, 2018, 336: 425–438. (SCI)
[13] Xiao-Guang Lv, Fang Li and Tieyong Zeng, Convex blind image deconvolution with inverse filtering, Inverse Problems, 2018, 34: 035003 (29pp). (SCI)
[14] Xiao-Guang Lv, Fang Li, Binary image deblurring with automatic binary value estimation, Journal of Electronic Imaging, 2018, 27(3), 033043. (SCI)
[15] Fang Li and Xiao-Guang Lv*, A Decoupled method for image inpainting with patch-based low rank regularization, Applied Mathematics and Computation, 2017, 314: 334–348. (SCI)
[16] Jun Liu, Ting-Zhu Huang, Xiao-Guang Lv, Si Wang, High-order total variation-based Poissonian image deconvolution with spatially adapted regularization parameter, Applied Mathematical Modelling, 2017, 45: 516–529. (SCI)
[17] Xiao-Guang Lv, Le Jiang, Jun Liu. Deblurring Poisson noisy images by total variation with overlapping group sparsity, Applied Mathematics and Computation, 2016, 289: 132-148. (SCI)
[18] Jun Liu, Ting-Zhu Huang, Gang Liu, Si Wang, Xiao-Guang Lv, Total variation with overlapping group sparsity for speckle noise, Neurocomputing, 2016, 216: 502-513. (SCI)
[19] Gang Liu, Ting-Zhu Huang, Xiao-Guang Lv and Jun Liu, New inexact explicit thresholding/shrinkage formulas for inverse problems with overlapping group sparsity, EURASIP Journal on Image and Video Processing, 2016, 2016:18, DOI 10.1186/s13640-016-0118-5. (SCI)
[20] Xiao-Guang Lv, Yong-Zhong Song, Fang Li. An efficient nonconvex regularization for wavelet frame and total variation based image restoration, Journal of Computational and Applied Mathematics, 2015, 290: 553-566. (SCI)
[21] Le Jiang, Jin Huang, Xiao-Guang Lv* and Jun Liu. Alternating direction method for the high-order total variation-based Poisson noise removal problem, Numerical algorithms, 2015, 69: 495-516. (SCI)
[22] Jun Liu, Ting -Zhu Huang, Ivan W. Selesnick, Xiao-Guang Lv, Po -Yu Chen. Image restoration using total variation with overlapping group sparsity, Information Sciences, 2015, 295: 232-246. (SCI)
[23] Jun Liu, Ting-Zhu Huang, Xiao-Guang Lv, Restoration of blurred color images with impulse noise, Computers and Mathematics with Applications, 2015, 70(6):1255-1265. (SCI)
[24] Le Jiang, Jin Huang, Jun Liu, Xiao-Guang Lv*, A combined first-order and second-order variation approach for multiplicative noise removal, ANZIAM Journal, 2014, 56(2): 116-137. (SCI)
[26] Yi Xu, Ting-Zhu Huang, Jun Liu, Xiao-Guang Lv. An augmented Lagrangian algorithm for total bounded variation regularization based image deblurring, Journal of the Franklin Institute, 2014, 351: 3053–3067. (SCI)
[27] Si Wang, Ting-Zhu Huang, Jun Liu, Xiao-Guang Lv. An alternating iterative algorithm for image deblurring and denoising problems, Communications in Nonlinear Science and Numerical Simulation, 2014, 19(3): 617-626. (SCI)
[28] Xiao-Guang Lv, Yong-Zhong Song, Shun-Xu Wang and Le Jiang. Image restoration with a high-order total variation minimization method, Applied Mathematical Modelling, 2013, 37: 8210–8224. (SCI)
[29] Jun Liu, Ting-Zhu Huang, Zong-Ben Xu, Xiao-Guang Lv. High-order total variation-based multiplicative noise removal with spatially adapted parameter selection, JOSA A, 2013, 30(10): 1956-1966. (SCI)
[30] Xiao-Guang Lv, Ting-Zhu Huang, Zong-Ben Xu and Xi-Le Zhao. A special Hermitian and skew-Hermitian splitting method for image restoration, Applied Mathematical Modelling, 2013, 37: 1069-1082. (SCI)
[31] Xiao-Guang Lv, Ting-Zhu Huang, Zong-Ben Xu and Xi-Le Zhao. Kronecker product approximations for image restoration with whole-sample symmetric boundary conditions. Information Sciences, 2012, 186: 150–163. (SCI)
[32] Xi-Le Zhao, Ting-Zhu Huang, Xiao-Guang Lv, Zong-Ben Xu and Jie Huang. Kronecker product approximations for image restoration with new boundary conditions. Applied Mathematical Modelling, 2012, 36: 225-237. (SCI)
[33] Le Jiang, Jin Huang, Xiao-Guang Lv and Qing-Song Cheng. A preconditioned method for the solution of the Robbins problem for the Helmholtz equation. ANZIAM J., 2010, 52: 87-100. (SCI)
[341] Xiao-Guang Lv, Ting-Zhu Huang and Zhi-Guang Ren. A new algorithm for linear systems of the Pascal type. Journal of Computational and Applied Mathematics, 2009, 225: 309-315. (SCI)
[35] Xiao-Guang Lv, Ting-Zhu Huang and Zhi-Guang Ren. A modified T. Chan’s preconditioner for Toeplitz systems. Computers and Mathematics with Applications, 2009, 58: 693-699. (SCI)
[36] Xiao-Guang Lv, Ting-Zhu Huang and Le Jiang. A note on computing the inverse and the determinant of a pentadiagonal Toeplitz matrix. Applied Mathematics and Computation, 2008, 206: 327-331. (SCI)
[37] Xiao-Guang Lv, Jiang Le. A note on solving nearly penta-diagonal linear systems, Applied Mathematics and Computation, 2008, 204: 707-712. (SCI)
[38] Xiao-Guang Lv, Ting-Zhu Huang. A note on inversion of Toeplitz matrices, Applied Mathematics Letters, 2007, 20: 1189-1193. (SCI)
八、代表性获奖成果
1. 散射介质环境光学成像校正及复原,江苏省科学技术奖,二等奖,江苏省人民政府,2022.02,3/9。
2. 水下图像评价及图像增强系统,江苏省教育科学研究成果奖,二等奖,江苏省教育厅,2018.08,4/7。
3. 基于重叠组稀疏全变分方法的泊松噪声图像复原,连云港市自然科学优秀学术成果奖,二等奖,连云港市人民政府,2018.12,1/3,第一。
4. 连云港市青年科技奖,连云港市人民政府,2013.12,1/1,第一。
5. 大规模代数系统新型快速算法及信息科学的交叉研究,四川省科技进步奖,一等奖,四川省人民政府,2013.01,7/10。