Smart Computational Imaging (SCI) Lab
智能计算成像实验室

Personal Resume

李艺璇.jpg

姓名李艺璇性别
出生年月1995.01邮箱

liyixuan@njust.edu.cn

学历硕士电话

15996269251

学位

硕士

通讯地址南京理工大学

教育经历

   

     2019.09 - 至今         南京理工大学     光学工程    博士

     2016.09 - 2019.06    昆明理工大学     控制工程    硕士

     2012.09 - 2016.06    曲阜师范大学      自动化      本科

   




荣誉获奖

(按时间先后)

  • 2023年全国光学与光学工程博士生学术联赛   全国百强

  • 2023中俄工业创新大赛国际总决赛   二等奖(中国赛区一等奖)

  • 第二届国际3D视觉感知与应用大会   优秀学生报告奖

  • 2022年 国奖奖学金

  • 南京理工大学“优秀博士培养对象”;

  • 2022年 OEA“优秀封面奖”

  • 第七届中国国际“互联网+大学生创新创业大赛   金奖

  • 第十六届中国研究生电子设计竞赛   全国一等奖

  • 第八届全国大学生光电设计竞赛   全国二等奖


掌握技能


   英语能力:      CET-6

   研究方向:      快速光学三维传感、条纹投影、深度学习

   计算机能力:   计算机三级;熟悉Matlab、C++、Python等软件语言;


发表论文

   

1. Y. Li§, J. Qian§, S. Feng, Q. Chen, and C. Zuo*, “Deep-learning-enableddual-frequency composite fringe projection profilometry for single-shotabsolute 3D shape measurement,” Opto-Electronic Adv. 5, 210021 (2022).(IF: 14.1, 受邀期刊封面,获评“OEA年度优秀封面”)

2. Y. Li, J. Qian, S. Feng, Q. Chen, and C. Zuo*, “Composite fringe projection deep learning profilometryfor single-shot absolute 3D shape measurement,” Opt. Express. 30, 3424 (2022).

3. X. Guo§, Y. Li§, J. Qian S. Feng, Q. Chen, and C. Zuo*, “Unifying temporal phase unwrapping framework using deep learning,” Opt. Express. 31 16659-166753 (2023).

4. 许新傲§, 李艺璇§, 钱佳铭, 冯世杰, 左超*, “基于全局优化的实时高精度模型重建[J],” 液晶与显示,38, 6(2023).

5. C. Zuo§, J. Qian§, S. Feng, W. Yin, Y. Li, P. Fan, J. Han, K.Qian, and Q. Chen, “Deep learning in optical metrology: a review,” Light: Science & Applications 11, 1 (2022).

6. S. Feng, C. Zuo, Y. Hu, Y. Li, and Q. Chen, “Deep-learning-basedfringe-pattern analysis with uncertainty estimation,” Optica 8,1507 (2022).

7. J. Qian, S. Feng, Y. Li, T. Tao, J. Han, Q. Chen,and C. Zuo*, “Single-shot absolute 3D shape measurement withdeep-learning-based color fringe projection profilometry,” Opt. Lett. 45,1842–1845 (2020). (光学TOP期刊IF:3.776, ESI高被引、热点论文)

8. J. Qian, S. Feng, T. Tao, Y. Hu, Y. Li, Q. Chen,and C. Zuo*, “Deep-learning-enabled geometric constraints and phase unwrappingfor single-shot absolute 3D shape measurement,” APL Photonics 5, 046105(2020). (JCR光学一区,IF:5.672ESI高被引、热点论文,入选APL Photonics virtual special issue on Photonics and AI)

9. Y. Li, J. Qian, S. Feng, Q. Chen, and C. Zuo,“Single-shot spatial frequency multiplex fringe pattern for phase unwrappingusing deep learning,” in Optics Frontier Online 2020: Optics Imaging andDisplay, vol. 11571 (International Society for Optics and Photonics, 2020),p.1157118

10. Y. Li, J. Qian, S. Feng, Q. Chen, and C. Zuo,“End-to-end single-shot composite fringe projection profilometry based on deeplearning,” in Fourth International Conference on Photonics and OpticalEngineering, vol. 11761 (International Society for Optics and Photonics, 2021),p.117611T.

11. Y. Li, J. Qian, S. Feng, T. Tao, Q. Chen, and C. Zuo,“Stereo phase unwrapping method based on feedback projection,” in OpticalMetrology and Inspection for Industrial Applications VII, vol. 11552(International Society for Optics and Photonics, 2020), p. 1155209.




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