个人简介

yl6809永利教师，南开大学博士，博士期间曾公派到新加坡国立大学数学系联合培养。现就职于yl6809永利。主要研究兴趣包括图像重建、数值优化等。在国际图像科学及计算数学杂志比如 SIAM J. Scientific Computing, SIAM J. Imaging Sciences, Math. Comput.等上发表多篇学术论文，主持国家自然科学基金青年项目1项，参与多项国家自然科学基金项目。

研究方向

图像重建、数值优化

承担课程

本科生课程:《数学模型与实验》、《数值分析》、《C语言基础》、《数据库原理与应用》

硕士研究生课程: 《数字图像处理》

科研项目

主持项目：

2. 基于球面约束和小波框架正则化的磁共振图像处理变分模型与快速算法，国家自然科学基金青年项目(No. 12301545)，2024年1月-2026年12月

1. 求解一类非凸信号和图像处理模型的快速算法研究，yl6809永利博士基金项目(No. 52XB2013)，2020年1月-2021年12月

主要参与项目：

4. 高维叠层成像重建及并行计算，国家自然科学基金面上项目(No.12271404)，2023年1月-2026年12月

3. 图像恢复与分解问题中非凸非光滑模型的下界理论和快速算法，国家自然科学基金面上项目(No.11871035)，2019年1月-2022年12月

2. 总变差正则化模型的区域分解算法及其医学图像应用，国家自然科学基金青年项目(No.11501413)，2016年1月-2018年12月

1. 非局部总变差正则化图像恢复模型的快速子空间校正算法，国家自然科学基金专项基金项目(No.11426165)，2015年1月-2015年12月

学术论文

已在 SIAM Journal on Scientific Computing，SIAM Journal on Imaging Sciences，Mathematics of Computation 等 SCI 期刊上发表十多篇论文。

15. Yuxuan Wang, Zhifang Liu, and Tongke Wang, Hybrid Methods of Series Decomposition and Legendre Collocation for the Emden-Fowler Equation With Blow-Up, Mathematical Methods in the Applied Sciences, 2026.

14. Zhifang Liu, Huibin Chang, and Yiming Gao. Minimizing Mean Curvature of Image Surface via Bilinear Decomposition for Image Reconstruction, Journal of Mathematical Imaging and Vision, 2025, 67(6): 55.

13. Zhifang Liu, Tongke Wang, and Yuyu Li, A Hybrid of Psi-Series Approach and Spectral Collocation Method for Two-Term Fractional Differential Equation with Singular Solution, Calcolo, 2025, 62(4): 43.

12. Zhifang Liu, Baochen Sun, Xue-Cheng Tai, Qi Wang, and Huibin Chang, A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition, SIAM Journal on Scientific Computing, 2024, 46(1): A290–A312.

11. Yu Gan, Zhifang Liu, and Huibin Chang, Reciprocal transformation based convex variational image restoration with multiplicative noise, Inverse Problems and Imaging, 2024, 19(2): 297–333.

10. Li Yang, Zhifang Liu, Guoan Zheng, and Huibin Chang, Batch-based alternating direction methods of multipliers for Fourier ptychography, Optics Express, 2022, 30(19): 34750–34764.

9. Zhifang Liu, Huibin Chang and Yuping Duan, Variational Rician Noise Removal via Splitting on Spheres, SIAM Journal on Imaging Sciences, 2022, 15(2): 521–549.

8. Tongke Wang, Zhifang Liu and Yiting Kong, The series expansion and Chebyshev collocation method for nonlinear singular two-point boundary value problems, Journal of Engineering Mathematics, 2021, 126(1): 1-28.

7. Tongyao Pang, Chunlin Wu and Zhifang Liu*, A cubic spline penalty for sparse approximation under tight frame balanced model, Advances in Computational Mathematics, 2020, 46(2): 36.

6. Zhifang Liu, Samad Wali, Yuping Duan, Huibin Chang, Chunlin Wu and Xue-Cheng Tai, Proximal ADMM for Euler's Elastica Based Image Decomposition Model, Numerical Mathematics: Theory, Methods and Applications, 2019, 12(2): 370–402.

5. Chunlin Wu, Zhifang Liu*, and Shuang Wen, A general truncated regularization framework for contrast-preserving variational signal and image restoration: Motivation and implementation, Science China Mathematics, 2018, 61(9): 1711–1732.

4. Samad Wali, Zhifang Liu, Chunlin Wu, and Huibin Chang, A Boosting Procedure for Variational-Based Image Restoration, Numerical Mathematics: Theory, Methods and Applications, 2018, 11(1): 49–73.

3. Tongke Wang, Zhiyue Zhang, and Zhifang Liu, The practical Gauss type rules for Hadamard finite-part integrals using Puiseux expansions, Advances in Computational Mathematics, 2017, 43(2): 319–350.

2. Tongke Wang, Zhifang Liu, and Zhiyue Zhang, The modified composite Gauss type rules for singular integrals using Puiseux expansions, Mathematics of Computation, 2017, 86(303): 345–373.

1. Zhifang Liu, Tongke Wang, and Guanghua Gao, A Local Fractional Taylor Expansion and Its Computation for Insufficiently Smooth Functions, East Asian Journal on Applied Mathematics, 2015, 5(2): 176–191.

专著章节

1. Zhifang Liu, Yuping Duan, Chunlin Wu and Xue-Cheng Tai, On variable splitting and augmented Lagrangian method for total variation-related image restoration models, In: K. Chen, C.-B. Schönlieb, X.-C. Tai, and L. Younces (eds.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, Springer, 2022.