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个人信息Personal Information

副教授 硕士生导师

教师拼音名称:luoyuemei

电子邮箱: 003690@nuist.edu.cn

所在单位:人工智能学院(未来技术学院、人工智能产业学院)

学历:博士研究生毕业

办公地点:信息科技大楼1903室

学位:哲学博士学位

职称:副教授

在职信息:在岗

毕业院校:新加坡南洋理工大学

硕士生导师

其他联系方式Other Contact Information

通讯/办公地址 : 临江楼1903

邮箱 : luoyuemei@nuist.edu.cn

个人简介Personal Profile

南京信息工程大学人工智能学院校聘教授、龙山学者,智能医学图像计算江苏高校重点实验室及智慧医疗研究院核心成员,入选国家海外青年高层次人才计划。本科毕业于电子科技大学,博士毕业于新加坡南洋理工大学,并继续在南洋理工大学进行博士后研究,近年来发表论文四十余篇。主要研究方向是微米分辨率光学相干层析成像及其相关医学应用,具体方向有内窥式医学成像、内窥式Micro-OCT在消化道和心血管成像的推广和应用、Micro-OCT在眼科和皮肤成像上的应用和推广、无损光学检测以及基于深度学习的医学图像识别和信号处理欢迎对本课题组研究方向感兴趣的学生加入。个人谷歌学术:https://scholar.google.com.sg/citations?user=piaBPSEAAAAJ&hl=en 


部分代表性论文:

15. Jin Qian,  Lei Tao, Changhao Gong, Jun Xu, and Yuemei Luo*, “Classifying Retinal Diseases via a Novel Pyramid Vision Graph Convolutional Network for Optical Coherence Tomography Images," Biomedical Optics Express (2025), Accepted. (本科生一作)

14. Yuemei Luo, Chenao Yuan, Lizhi Cheng, Min Wu, and Wenmian Yang*, “Combining Values, Trends, and Types of Sensors for Multivariate Time Series Classification and Regression,” IEEE Sensors Journal, 25(9), 15419-15430 (2025). 

13. Yuan Li, Chenxi Huang, Bowen Zheng, Zhiyuan Zheng, Hongying Tang, Shenghong Ju, Jun Xu, and Yuemei Luo*, “Retinopathy Identification in Optical Coherence Tomography Images Based on a Novel Class-Aware Contrastive Learning Approach,” Knowledge-Based Systems, 310, P.112924 (2025). (研究生一作)

12. Lei Tao, Jin Qian, Changhao Gong, Dingfa Zhang, and Yuemei Luo*, “Cross-Domain Retinopathy Classification in Optical Coherence Tomography Images Based on Domain Adversarial Graph Convolutional Network,” IEEE Sensors Journal, 2(15), 3473-3483 (2025). (本科生一作)

11. Bowen Zheng, Chenxi Huang, Yuan Li, Zhiyuan Zheng, and Yuemei Luo*, “Detecting Retinopathy from Optical Coherence Tomography Images Using a Novel Augmentation-based Semi-supervised Learning Approach,” IEEE Sensors Journal, 24(18), 29284-29292 (2024). 

10. Songqi Hu, Hongying Tang, and Yuemei Luo*, “Identifying Retinopathy in Optical Coherence Tomography Images with Less Labeled Data via Contrastive Graph Regularization,” Biomedical Optics Express, 15(8), 4980-4994 (2024). (本科生一作)

9. Yuemei Luo, Chenxi Huang, Chaohui Lin, Yuan Li, Jing Chen, Xiren Miao, and Hao Jiang*, “Distortion Tolerant Method for Fiber Bragg Grating Sensor Network Using Estimation of Distribution Algorithm and Convolutional Neural Network,” IEEE Transactions on Instrumentation and Measurement, Accepted, (2024), DOI: 10.1109/TIM.2024.3398101.

8. Bowen Zheng, Chenxi Huang, Xiangji Chen, and Yuemei Luo*, “Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection,” IEEE Transactions on Instrumentation and Measurement, 73, 1-14 (2024).

7. Arman Mohammad Nakib, Yuan Li, and Yuemei Luo*, “Retinopathy Identification in OCT Images with A Semi-supervised Learning Approach via Complementary Expert Pooling and Expert-wise Batch Normalization,” In 9thOptoelectronics Global Conference (OGC), 170-174, Shenzhen, China, September 10, 2024. (留学生一作)

6. Wickramaarachchi Minidu Thiranjaya, Yuan Li, Lei Tao, and Yuemei Luo*, “Cross-Domain Retinopathy Classification with OCT Images via Disentangling Representation and Adaptation Networks,” In 9th Optoelectronics Global Conference (OGC), 179-183, Shenzhen, China, September 10, 2024. (留学生一作)

5. Weide Liu, Xiaoyang Zhong, Lu Wang, Jingwen Hou, Yuemei Luo, Jiebin Yan, and Yuming Fang, “Uncertainty Awareness for Unsupervised Domain Adaption on Human Activity Recognition,” In 4th International Workshop on Deep Learning for Human Activity Recognition Held in Conjunction with International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, August 3, 2024. (最佳论文奖)

4. Yuemei Luo, Qing Xu, Ruibing Jin, Min Wu*, and Linbo Liu, “Automatic Detection of Retinopathy with Optical Coherence Tomography Images via A Semi-supervised Deep Learning Method,” Biomedical Optics Express, 12(5), 2684-12702 (2021).

3. Yuemei Luo, Qing Xu, Yubo Hou, Linbo Liu, and Min Wu*, “Cross-domain Retinopathy Classification with Optical Coherence Tomography Images via A Novel Deep Domain Adaptation Method,” Journal of Biophotonics, 14(8), e202100096 (2021). 

2. Yuemei Luo, Xianghong Wang, Xiaojun Yu, Ruibing Jin, and Linbo Liu*, “Imaging Sebaceous Gland Using Optical Coherence Tomography with Deep Learning Assisted Automatic Identification,” Journal of Biophotonics, 14(6), e202100015 (2021). 

1. Yuemei Luo, Dongyao Cui, Xiaojun Yu, En Bo, Xianghong Wang, Nanshuo Wang, Cilwyn Shalitha Braganza, Shufen Chen, Xinyu Liu, Qiaozhou Xiong, Si Chen, Shi Chen, and Linbo Liu*, “Endomicroscopic Optical Coherence Tomography for Cellular Resolution Imaging of Gastrointestinal Tracts,” Journal of Biophotonics, 11(4), e201700141 (2018). 



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团队名称:智慧医疗研究院

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