教育经历：

2009.09-2013.07 北京大学 计算数学 博士，指导老师：周铁 教授.

2006.09-2009.07 河南大学 应用数学 硕士，指导教师：宋锦萍 教授.

2002.09-2006.07 河南大学 信息与计算科学，本科.

工作经历：

2021.01-至今， 河南大学数学与统计学院 副教授

2013.07-2020.12， 河南大学数学与统计学院 讲师.

2019.12-2020.02，香港浸会大学 访问学者，合作导师：台雪成教授.

2017.12-2019.11，北京计算科学研究中心/香港科技大学数学系 博士后，合作导师：台雪成教授/汪扬教授.

2016.09-2017.08，佐治亚理工大学数学系 访问学者，合作导师：周好民教授.

主持项目

• 国家自然科学基金青年基金项目，单光子发射计算机断层成像(SPECT)重建算法研究 (No. 1140117)，2015.1-2017.12.

• 河南省科技攻关项目，基于自适应紧框架的谱CT图像正则化重建方法，(192102310181), 2019.1-2020.12.

学术成果

• 已完成、投稿论文

1. Shousheng Luo, Xue-Cheng Tai, and Yang Wang. Convex shape representation with binary labels for image segmentation: models and fast algorithms. Submitted to Analysis and Applications.

2. Shousheng Luo, Xue-Cheng Tai, Roland Glowinski. Level Set Representation for Convex object(s) with Application in Image Segmentation, submitted to Journal of Mathematical Imaging and Vision.  

• 期刊论文

1. Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang. A level set representation method for N-dimensional convex shape and applications，Communications in Mathematical Research 37(2):180-208, 2021.

2. Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang. A new variational approach based on level-set function for convex hull problem with outliers, Inverse Problems and Imaging, 15(2): 315-338, 2021.

3. Shousheng Luo, Yanchun Zhang, Tie Zhou, Jinping Song and Yanfei Wang, XCT image reconstruction by a modified superiorized iteration and theoretical analysis, Optimization Methods and Software, 35(6): 1080-1097, 2020.

4. Yanfei Wang, Shousheng Luo, L. H. Wang, J. Q. Wang and C. Jin, Synchrotron radiation-basedl1-normregularization on micro-CT imaging in shale structureanalysis, Journal of Inverse and Ill-Posed Problems, , vol.25, no.4, pp. 483-497, 2017.

5. Shousheng Luo, Qian Lv, Heshan Chen and Jinping Song, Second-order total variation and primary-dual algorithm for CT image reconstruction, International Journal of Numerical Analysis and Modeling vol. 14, no.1, pp.76-87, 2017 (SCI).

6. Shousheng Luo and Tie Zhou, Superiorization of EM algorithm and its application in single-photon emission computed tomography (SPECT), Inverse Problems and Imaging,vol.8, no.1,pp.223-246, 2014.

7. Shousheng Luo, Jiansheng Yang and Tie Zhou, A numerical algorithm for cosh-Hilbert transform and the SPECT reconstruction with truncated data, Chinese Journal of Computed Physics, vol.30, no. 6, pp. 95-103, 2013.

• 会议论文

1. Shousheng Luo, Xue-Cheng Tai, Limei Huo, Yang Wang and Roland Glowinski, Convex shape prior for multi-object segmentation using a single level set function, In Proceedings of the IEEE International Conference on Computer Vision, pp. 613-621, 2019.

2. Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, and Yang Wang. Data-driven method for 3D axis-symmetric object reconstruction from single cone-beam projection data. In Proceedings of the Third International Symposium on Image Computing and Digital Medicine, pp. 288-292. 2019.

3. Shousheng Luo, Keke Kang, Yang Wang, and Xue-Cheng Tai. Low-dose x-ray computedtomography image reconstruction using edge sparsity regularization. In Proceedings of the Third International Symposium on Image Computing and Digital Medicine, pp. 303-307.2019.

4. Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, and Jiang Yang. A variational convex hull algorithm. In International Conference on Scale Space and Variational Methods in Computer Vision, pp. 224-235. Springer, Cham, 2019.

5. Limei Huo, Shousheng Luo, Yiqiu Dong, Xue-Cheng Tai, and Yang Wang. An iteration method for x-ray CT reconstruction from variable-truncation projection data. In International Conference on Scale Space and Variational Methods in Computer Vision, pp. 144-155. Springer, Cham, 2019.

• 参编书籍

1. Glowinski, Roland, Shousheng Luo, and Xue-Cheng Tai. Fast operator-splitting algorithms for variational imaging models: Some recent developments. In Handbook of Numerical Analysis, vol. 20, pp. 191-232. Elsevier, 2019.

Teaching：

《Operations Research》《Numerical analysis》《Numerical Methods For Differential Equations》

学术报告：

1. Image segmentation with convexity prior, Efficient Algorithms in Data Science, Learning and Computational Physics, Tsinghua Sanya International Mathematics Forum(TSIMF) , January 12-16, 2020 (国际会议).

2. XCT image reconstruction by a modified superiorized iteration and theoretical analysis, The Fifth International Workshop on Computational Inverse Problems and Applications (CIPA2019), Longyan, July 25 – 29, 2019 (国际会议).

3. Convex shape priori with level set representation, Efficient Operator Splitting Techniques for Complex System and Large Scale Data Analysis, Tsinghua Sanya International Mathematics Forum(TSIMF) , January 14-18, 2019 (国际会议).

4. Superiorization of iteration and its applications in image reconstruction, the 14th Conference of China Society for Industrial and Applied Mathematics, Xiangtan, China, August 12-15, 2016 (国内年会).

5. Superiorization of EM iteration and applications in SPECT image reconstruction, SIAM Conference on Image Sciences (SIAM-IS14), Baptist University, Hong Kong, May 12-14, 2014 (国际会议).

6. Superiorization of EM algorithm and its applications in SPECT image reconstruction, the 2nd International Conference on Interdisciplinary Applied Mathematics and Computational Mathematics, Hangzhou, China, June 19-22, 2013 (国际会议).