李斯

作者: 时间:2020-01-10 点击数:

李斯LiSi副教授

所属学院:

计算机学院

导师类别:

硕士生导师

科研方向:

l医学影像,图像处理及分析,最优化理论和深度学习

联系方式:

reesiloveu@163.com

硕士招生学院:

计算机学院

个人简述

(300)

2008年和2013年分别获得中山大学信息与计算科学学士学位和计算数学博士学位,期间自201011月至20123月访问美国纽约州立大学上州医科大学(SUNY Upstate)放射系。尔后至201510月于中山大学数学与计算科学学院从事博士后研究工作,201511月至20185月于中山大学数据科学与计算机学院任特聘研究员,20186月至201912月于广东工业大学计算机学院任讲师,20201月至今于计算机学院任副教授。主要研究方向为医学影像重建、最优化理论与算法、反问题与积分方程。获美国专利授权1件,主持国家自然科学基金青年基金1项,参与国家重点研发计划高性能计算重点专项子课题1项,发表学术论文近二十篇,曾获广东省计算数学优秀青年论文奖一等奖。

学科领域

科学学位:计算机科学与技术

专业学位:计算机科学与技术

教育背景

20089月至20136月,中山大学,数学与计算科学学院,博士.

20049月至20086月,中山大学,数学与计算科学学院,本科.

工作经历

20201月至今,广东工业大学,计算机学院,副教授.

20186月至201912月,广东工业大学,计算机学院,讲师.

201511月至20185月,中山大学,数据科学与计算机学院,特聘研究员.

l20138月至201510月,中山大学,数学与计算科学学院,广东省计算科学重点实验室,博士后.

l201011月至20123月,美国纽约州立大学上州医科大学,学术访问.

学术兼职

广东省计算数学学会 监事

广东省高性能计算学会 会员

主要论文

1.Yun Chen, Jiasheng Huang,Si Li, Yao Lu, and Yuesheng Xu.

A content-adaptive unstructured grid based integral equation method with the TV regularization for SPECT reconstruction. Inverse Problems and Imaging,14(1): 27-52, 2020.

2.Wei Zheng,Si Li, Andrzej Krol, C. Ross Schmidtlein, Xueying Zeng, and Yuesheng Xu.

Sparsity promoting regularization for effective noise suppression in SPECT image reconstruction. Inverse Problems, 35(115011), 2019.

3.Yizun Lin, C. Ross Schmidtlein, Qia Li,Si Li, and Yuesheng Xu.

A Krasnoselskii-Mann algorithm with an improved EM preconditioner for PET image reconstruction. IEEE Transactions on Medical Imaging,38(9): 2114-2126, 2019.

4.Ying Jiang*,Si Li*, and Yuesheng Xu#.

A higher-order polynomial method for SPECT reconstruction. IEEE Transactions on Medical Imaging,38(5): 1271-1283, 2019.*共同第一作者,#通讯作者)

5.Jiahan Zhang,Si Li#, Andrzej Krol, C. Ross Schmidtlein, Edward Lipson, David Feiglin, and

Yuesheng Xu.

Infimal convolution-based regularization for SPECT reconstruction. Medical Physics, 45(12): 5397-5410, 2018.#通讯作者)

6.Si Li, Jiahan Zhang, Andrzej Krol, C. Ross Schmidtlein, David Feiglin, and Yuesheng Xu.

Preconditioned alternating projection algorithm for solving the penalized-likelihood SPECT reconstruction problem. Physica Medica-European Journal of Medical Physics, 38: 23-35, 2017.

7.C. Ross Schmidtlein, Yizun Lin,Si Li, Andrzej Krol, Bradley Beattie, John Humm, and Yuesheng Xu.

Relaxed ordered subset preconditioned alternating projection algorithm for PET reconstruction with automated penalty weight selection. Medical Physics, 44(8): 4083-4097, 2017.

8.Zhifeng Wu,Si Li, Xueying Zeng, Yuesheng Xu, and Andrzej Krol.

Reducing staircasing artifacts in SPECT reconstruction by an infimal convolution regularization. Journal of Computational Mathematics, 34(6): 624-645, 2016.

9.Si Li, Jiahan Zhang, Andrzej Krol, C. Ross Schmidtlein, Levon Vogelsang, Lixin Shen,

Edward Lipson, David Feiglin, and Yuesheng Xu.

Effective noise-suppressed and artifact-reduced reconstruction of SPECT data using a preconditioned alternating projection algorithm. Medical Physics, 42(8): 4872-4887, 2015.

10.Andrzej Krol,Si Li, Lixin Shen, and Yuesheng Xu.

Preconditioned alternating projection algorithms for maximum a posteriori ECT reconstruction. Inverse Problems, 28, 115005, 34pp, 2012.

11.Si Li, Andrzej Krol, Zhifeng Wu, Jiahan Zhang, Levon Vogelsang, Lixin Shen, Yuesheng Xu, Edward Lipson, and David Feiglin.

Reduction of staircasing artifacts in tomographic reconstruction with total variation regularization. European Journal of Nuclear Medicine and Molecular Imaging, 40:S109-S110. 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER, October 2013.SCI收录)

12.Andrzej Krol,Si Li, Jiahan Zhang, Levon Vogelsang, Lixin Shen, Yuesheng Xu, Edward Lipson, and David Feiglin.

Low-noise reconstruction of the Monte Carlo simulated SPECT data using a preconditioned alternating projection algorithm. European Journal of Nuclear Medicine and Molecular Imaging, 40:S110-S110. 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER, October 2013.SCI收录)

13.Jiahan Zhang, Andrzej Krol,Si Li, Zhifeng Wu, Levon Vogelsang, Lixin Shen, Charles Schmidtlein, Edward Lipson, Yuesheng Xu, and David Feiglin.

Comparison of SPECT lesion detectability between preconditioned alternating projection algorithm (PAPA) and expectation-maximization algorithm with total variation regularizer (EM-TV). Journal of Nuclear Medicine, 55(supplement 1): 543-543, May 2014.SCI收录)

14.Si Li, Andrzej Krol, Lixin Shen, and Yuesheng Xu.

Fast proximity algorithm for MAP ECT reconstruction. Proc. SPIE. 8313, Medical Imaging 2012: Physics of Medical Imaging 831340, 2012.

15.Andrzej Krol,Si Li, Yuesheng Xu, Jiahan Zhang, Levon O. Vogelsang, Lixin Shen, and David H. Feiglin.

Semi-dynamic preconditioned alternating projection MAP ECT reconstruction from low-dose ECT. Proc. SPIE. 8668, Medical Imaging 2013: Physics of Medical Imaging 86685F, 2013.

16.Andrzej Krol,Si Li, Lixin Shen, Yuesheng Xu, and David Feiglin.

Very low noise fast proximity algorithm for maximum a posteriori ECT reconstruction. Journal of Nuclear Medicine, 53(supplement 1): 2367-2367, May 2012.

17.Jiahan Zhang,Si Li, Yuesheng Xu, C. Ross Schmidtlein, Edward Lipson, David Feiglin, and Andrzej Krol.

SPECT reconstruction using DCT-induced tight framelet regularization. Proc. SPIE. 9412, Medical Imaging 2015: Physics of Medical Imaging 94123H, 2015.

18.C. Ross Schmidtlein,Si Li, Zhifeng Wu, Jiahan Zhang, Levon Vogelsang, Lixin Shen, Yuesheng Xu, David Feiglin, Bradley J. Beattie, John Humm, and Andrzej Krol.

Improved Image Quality in Brain F-18 FDG PET Using Penalized-Likelihood Image Reconstruction Via a Generalized Preconditioned Alternating Projection Algorithm: The First Patient Results. Medical Physics, 41: 438-438, 2014.

19.Xueying Zeng andSi Li.

An efficient adaptive total variation regularization for image denoising. 2013 Seventh International Conference on Image and Graphics (ICIG), pp. 55-59, doi:10.1109/ICIG.2013.17, 2013.

科研项目

1.国家自然科学基金青年基金项目,11601537SPECT/CT成像与图像重建的数学建模及快速科学计算方法,2017/01-2019/1218万元,结题,主持.

2.国家自然科学基金面上项目,11771464PET医学图像重构的积分方程方法,2018/01-2021/1248万元,在研,第一参与人.

3.国家重点研发计划高性能计算重点专项,2016YFB0200600,适应于E级计算的可计算物理建模与新型计算方法,2016/07-2020/12982万元,在研,参加.

4.国家自然科学基金重大研究计划培育项目,91530117,植物分子设计中高维数据的低维稀疏逼近方法(延续资助),2016/01-2016/1230万元,结题,第六参与人.

5.国家自然科学基金面上项目,11471013,医学图像的积分方程成像模型及不动点重构算法,2015/01-2018/1260万元,结题,第二参与人.

教学活动

本科生课程:《信息安全数学基础》、《计算机图形学》

地址:广州市番禺区广州大学城外环西路100号广东工业大学行政楼325 邮编:510006

电话:020-39322722 邮箱:yzb@gdut.edu.cn粤ICP备05008833号

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