导师简介-林永平

电子邮箱：pr162@163.com; yplin@xmut.edu.cn

个人简介：

林永平，男，博士，光电与通信工程学院副教授；2019年6月毕业于福建师范大学光学工程，获工学博士学位；2018年至2019年赴新西兰维多利亚大学计算机科学和工程学院人工智能小组访问学者。目前以第一作者、通信作者发表论文近四十篇，其中 SCI期刊近二十篇。

研究领域：

l 人工智能（深度学习、图像处理、自然语言处理、演化计算）

l 信息光电技术（光学成像技术）

部分主持科研项目情况：

[1] 2021年度福建省科技创新联合资金项目、2021Y9166、基于深度学习宫颈癌多药联合治疗的作用机制与疗效研究、2022.10-2025.10、45万元、进行中、合作单位负责人

[2] 福建省自然科学基金项目面上项目、2021J011216、基于多级联卷积神经网络的早期子宫内膜癌临床分期关键技术研究、2021.11-2024.11、10万元、已结题、主持

[3] 企业横向课题、ZK-HX21043、物业管理系统平台开发、2021.5-2024.5、5万元、已结题、主持。

[4] 厦门理工学院高层次人才项目、YKJ19010R、基于深度学习的肝癌分化等级自动分类、2019.11-2022.10、6万元、已结题、主持。

[5] 2019年福建省本科高校一般教育教学改革研究项目、FBJG20190302、基于新工科专业群的基础电路课程群模块化教学的研究与探索、2万元、已结题、主持。

学术兼职：

[1] IEEE国际学术会议 SEAI2022/2023/2024技术委员会成员、 ICSIP2021分会主席

[2] <Expert Systems With Applications>、<European Radiology>、<Biomedical Signal Processing and Control>、<Journal of Digital Imaging>、<Applied Intelligence>等学术期刊审稿人

发明专利：

[1]林永平等，一种肿瘤浸润深度的监测方法、装置、设备和存储介质，ZL 2021 1 0694157.9，2023年05月（已授权）

2021年以来部分代表性研究成果：

1. Liu Xiong, Chunxia Chen, Yongping Lin*, Zhiyu Song, and Jialin Su. A Three‐Step Automated Segmentation Method for Early Cervical Cancer MRI Images Based on Deep Learning[J]. International Journal of Imaging Systems and Technology, 2025, 35(1): 1–12. (SCI，学生一作)

2. Li, Ming, Jialin Su, Zhiyu Song, Juping Qiu, and Yongping Lin*. An interactive address matching method based on a graph attention mechanism[J]. International Journal of Cognitive Computing in Engineering, KeAi Communications Co., Ltd, 2025, 6(August 2024): 191–200. (EI，学生一作)

3. Su, Jialin, Meifang Li, Yongping Lin*, Liu Xiong, Caixing Yuan, Zhimin Zhou, and Kunlong Yan. 2024. “A Deep Learning-Based Automatic Image Quality Assessment Method for Respiratory Phase on Computed Tomography Chest Images.” Quantitative Imaging in Medicine and Surgery 14 (3): 2240–54. (SCI，学生一作)

4. Su, Jialin, Meifang Li, Yongping Lin*, Liu Xiong, Caixing Yuan, Zhimin Zhou, and Kunlong Yan. 2024. “A Deep Learning-Based Automatic Image Quality Assessment Method for Respiratory Phase on Computed Tomography Chest Images.” Quantitative Imaging in Medicine and Surgery 14 (3): 2240–54. (SCI，学生一作)

5. Qiu, Juping, Chunxia Chen, Ming Li, and Yongping Lin*. 2024. “Deep Learning-Based Detection Approach for Uterine Lymph Node MRI Images: A Pilot Study.” In 2024 10th International Conference on Systems and Informatics (ICSAI), 1–5. IEEE. (EI，学生一作)

6. Chen, Chunxia, Liu Xiong, Yongping Lin*, Ming Li, Zhiyu Song, Jialin Su, and Wenting Cao.. Super-resolution reconstruction for early cervical cancer magnetic resonance imaging based on deep learning[J]. BioMedical Engineering OnLine, 2024, 23(1): 84. (SCI，学生一作)

7. Su, Jialin, Meifang Li, Yongping Lin*, Liu Xiong, Caixing Yuan, Zhimin Zhou, and Kunlong Yan. 2023. “Deep Learning-Driven Multi-View Multi-Task Image Quality Assessment Method for Chest CT Image.” BioMedical Engineering OnLine 22 (1): 117. (SCI，学生一作)

8. Song, Zhiyu, Yongping Lin*, Liu Xiong, and Zhifang Li. 2023. “Super-Resolution Algorithm for the Characterization of Sweat Glands in Fingerprint OCT Images.” Journal of the Optical Society of America A 40 (11): 2068. (SCI，学生一作)

9. Xiong, Liu, Chunxia Chen, Yongping Lin*, Wei Mao, and Zhiyu Song. 2023. “A Computer ‑ Aided Determining Method for the Myometrial Infiltration Depth of Early Endometrial Cancer on MRI Images.” BioMedical Engineering OnLine, 1–17. (SCI，学生一作)

10. Mao Wei, Chen Chunxia, Gao Huachao, Xiong Liu, Lin Yongping*. Quantitative evaluation of myometrial infiltration depth ratio for early endometrial cancer based on deep learning. Biomedical Signal Processing and Control 84, 104685 (2023). (SCI，学生一作)

11. Mao Wei, Chen Chunxia, Gao Huachao, Xiong Liu, Lin Yongping*. 2022. “A Deep Learning-Based Automatic Staging Method for Early Endometrial Cancer on MRI Images.” Frontiers in Physiology 13. (SCI，学生一作)

12. Gao Huachao, Mao Wei, and Lin Yongping*. 2022. “Generating Face Images from Fine-Grained Sketches Based on GAN with Global-Local Joint Discriminator.” In 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI), IEEE, 50–54. (EI，学生一作)

13. Mao Wei, Xiong Liu, Li Zhifang, and Lin Yongping*. 2022. “Transfer Learning-Based Detection of Endometrial Cancer Lesion Regions on MRI Images.” In 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI), IEEE, 46–49. (EI，学生一作)

14. Xiong Liu, Chen Chunxia, Mao Wei, Li Chenchen, Lin Yongping*. 2022. “An Automatic Staging Method for Early Cervical Cancer on MRI Images: A Pilot Study.” In 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI), IEEE, 78–82. (EI，学生一作)

15. Li Chenchen, Lin Lin, Mao Wei, Xiong Liu, Lin Yongping*. 2022. “An Automated Essay Scoring Model Based on Stacking Method.” In 2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI), IEEE, 248–52. (EI，学生一作)

16. Gao Huachao, Chen Chunxia, Mao Wei, Li Zhifang, Lin Yongping*. 2021. “A Feasible Method to Determine the Depth of Myometrial Invasion of Endometrial Carcinoma Based on Improved Thinning Algorithm.” In 2021 11th International Conference on Information Technology in Medicine and Education (ITME), IEEE, 394–98. (EI，学生一作)

17. Lin, Yongping, Hongxin Lin, Xiaoqin Zhu, and Guannan Chen, Three-Dimensional Characterizations of Two-Photon Excitation Fluorescence Images of Elastic Fibers Affected by Cutaneous Scar Duration, Quantitative Imaging in Medicine and Surgery, 11.8 (2021), 3584–94.(SCI)

18. Lin, Yongping, Tse-Shao Chang, Jing Chen, and Gaoming Li, Dual-Axis Confocal Configuration for Depth Sensitive Fluorescence Spectroscopy, Optics Letters, 46.15 (2021), 3588.(SCI)

19. Zhong, Zhaowei, Jialing Zhang, Zhifang Li*, Yongping Lin*, and Shulian Wu, ‘Depth-Independent Internal Fingerprint Based on Optical Coherence Tomography’, Optics Express, 29.11 (2021), 16991.(SCI)

Lin Yongping,Li Dezi,Liu Wang, Zhong Zhaowei, Li Zhifang, He Youwu, Wu Shulian, A measurement of epidermal thickness of fingertip skin from OCT images using convolutional neural network[J]. Journal of Innovative Optical Health Sciences, 2021, 14(01): 2140005.(SCI)