吴春林，南开大学数学科学学院副教授。吴博士分别于2001年和2006年在中国科学技术大学获得学士和博士学位。曾在中国科学技术大学，新加坡南洋理工大学，新加坡国立大学从事博士后研究工作。2012年吴春林加入南开大学数学科学学院。他的研究兴趣包括图像与几何计算，数值逼近与优化。近年来吴博士在国际图像科学及计算数学知名杂志比如SIAM J. Imaging Sciences, SIAM J. Numerical Analysis，Inverse Problems, Adv. Comput. Math., J. Sci. Comput., Inverse Prob. Imaging, ACM TOG, IEEE TVCG,IEEE TIP, IEEE TMI等上发表多篇学术论文。 教育经历 中国科学技术大学 博士 2001/09-2006/07； 中国科学技术大学 学士 1997/09-2001/07； 工作经历 南开大学数学科学学院 副教授 2012/12 - ； 新加坡国立大学 博士后 2010/07 - 2012/07； 新加坡南洋理工大学 博士后 2008/03 - 2010/06； 中国科学技术大学 博士后 2006/07 - 2008/03； 教学工作 本科课程：《最优化方法》，《计算几何》，《高等数学》，《高等数学》习题课； 研究生课程：《函数逼近论》； 科研项目 1. 国家自然科学基金青年基金 1 项， 2014/01-2016/12, 已结题，主持; 2. 国家自然科学基金面上项目 1 项, 2019/01-2022/12, 在研,主持; 3. 国家自然科学基金重点项目 1 项, 2016/01-2020/12, 在研, 参加; 荣誉奖励 “史树中奖教金”

图像几何计算，数值逼近与优化

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On dynamical system modeling of learned primal-dual with a linear operator K: stability and convergence properties Jinshu Huang, Yiming Gao and Chunlin Wu Published 4 June 2024 DOI 10.1088/1361-6420/ad49ca Non-Lipschitz Attack: A More Sparse Adversarial Attack via Non-Lipshitz $ℓ_p$ Regularization Lin Xuan,Xie Haidong,null Chunlin Wu,Xiang Xueshuang Page:797-819 ISSN:2708-0560 Container-title:CSIAM Transactions on Applied Mathematics Two-Phase Image Segmentation by Nonconvex Nonsmooth Models with Convergent Alternating Minimization Algorithms Wang Weina,null Nannan Tian,Wu Chunlin Page:544-578 ISSN:0254-9409 Container-title:Journal of Computational Mathematics Liu, Z., Duan, Y., Wu, C., Tai, XC. (2023). On Variable Splitting and Augmented Lagrangian Method for Total Variation-Related Image Restoration Models. In: Chen, K., Schönlieb, CB., Tai, XC., Younes, L. (eds) Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging. Springer, Cham. https://doi.org/10.1007/978-3-030-98661-2_84 Yang, Y., Li, Y., Wu, C. et al. A Convergent Iterative Support Shrinking Algorithm for Non-Lipschitz Multi-phase Image Labeling Model. J Sci Comput 96, 47 (2023). https://doi.org/10.1007/s10915-023-02268-5 A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm Wu Chunlin,Guo Xueyan,Gao Yiming,Xue Yunhua Page:1499-1538 ISSN:1936-4954 Container-title:SIAM Journal on Imaging Sciences An accelerated majorization-minimization algorithm with convergence guarantee for non-Lipschitz wavelet synthesis model * Inverse Problems 2022-01-01 | Journal article DOI: 10.1088/1361-6420/ac38b8 CONTRIBUTORS: Yanan Zhao; Chunlin Wu; Qiaoli Dong; Yufei Zhao A fast method for simultaneous reconstruction and segmentation in X-ray CT application Yiqiu Dong,Chunlin Wu &Shi Yan Pages 3342-3359 | Received 13 Nov 2019, Accepted 23 Oct 2021, Published online: 15 Nov 2021 https://doi.org/10.1080/17415977.2021.1999941 Pang, T., Wu, C. & Liu, Z. A cubic spline penalty for sparse approximation under tight frame balanced model. Adv Comput Math 46, 36 (2020). https://doi.org/10.1007/s10444-020-09786-y Wang, W., Wu, C. & Tai, XC. A Globally Convergent Algorithm for a Constrained Non-Lipschitz Image Restoration Model. J Sci Comput 83, 14 (2020). https://doi.org/10.1007/s10915-020-01190-4 Liu, Z., Wu, C. & Zhao, Y. A new globally convergent algorithm for non-Lipschitz ℓp-ℓq minimization. Adv Comput Math 45, 1369–1399 (2019). https://doi.org/10.1007/s10444-019-09668-y C. Zeng, R. Jia, C. Wu. An Iterative Support Shrinking Algorithm for Non-Lipschitz Optimization in Image Restoration. J. Mathematical Imaging and Vision, available online 2018. W. Wang, S. Wen, C. Wu, J. Deng. Denoising Piecewise Constant Images with Selective Averaging and Outlier Removal. Numerical Mathematics: Theory, Methods and Applications, available online 2018. C. Zeng, C. Wu, On the discontinuity of images recovered by noncovex nonsmooth regularized isotropic models with box constraints. Adv. Comput. Math., available online 2018. C. Zeng, C. Wu, On the edge recovery property of noncovex nonsmooth regularization in image restoration. SIAM J. Numer. Anal., 56:1168-1182, 2018. H. Zhang, C. Wu, J. Deng, Z. Liu, Y. Yang. A new two-stage mesh surface segmentation method. The Visual Computer,34: 1597-1615, 2018. C. Wu, Z. Liu, S. Wen, A general truncated regularization framework for contrast-preserving variational signal and image restoration: motivation and implementation. SCI. CHINA Mathematics., 61:1711-1732, 2018. X. Feng, C. Wu, C. Zeng, On the local and global minimizers of L0 gradient regularized model with box constraints for image restoration. Inverse Problems, 34, 095007, 2018. W. Wang, C. Wu, J. Deng, A general selective averaging method for piecewise constant signal and image processing. J. Scientific Computing., 76:1078-1104, 2018. S. Wali, Z. Liu, C. Wu, H. Chang. A boosting procedure for variational-based image restoration. Numerical Mathematics: Theory, Methods and Applications,11:49-73, 2018.