罗月梅，南京信息工程大学人工智能学院校聘教授、龙山学者，国家级海外青年人才，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成员；本科毕业于电子科技大学，之后在新加坡南洋理工大学获得博士学位并进行博士后研究工作，近年来发表论文四十余篇。长期从事医用高分辨率光学相干层析成像技术研究，主要研究方向是微米分辨率光学相干层析成像（micro-OCT）及其在消化道、心血管、皮肤、眼科等领域的应用，具体方向有内窥式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。Google学术主页: https://scholar.google.com.sg/citations?user=piaBPSEAAAAJ&hl=en。欢迎对本课题组研究方向感兴趣的学生加入，联系方式：luoyuemei@nuist.edu.cn。
代表性论文：
1. 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 (2025), Accepted, DOI: 10.1109/JSEN.2025.3545660.
2. Yuan Li, Chenxi Huang, Bowen Zheng, Zhiyuan Zheng, Hongying Tang, Jun Xu, Shenghong Ju, 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).
3. 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).
4. 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).
5. 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).
6. 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.
7. 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).
8. 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).
9. 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).
10. 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).
11. 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).
12. Xiaojun Yu†, Yuemei Luo†, Xinyu Liu, Si Chen, Xianghong Wang, Shi Chen, and Linbo Liu, “Towards high Speed Imaging of Cellular Structures in Rat Colon Using Micro-optical Coherence Tomography,” IEEE Photonics Journal, 8(4), 1-8 (2016).
13. 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 9th Optoelectronics Global Conference (OGC), 170-174, Shenzhen, China, September 10, 2024.
14. 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.
15. 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)
