南京信息工程大学人工智能学院副教授、龙山学者，入选国家海外青年高层次人才计划，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。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。主要研究方向是生物医学光学传感与成像，无损光学检测，智能诊断应用，高效与鲁棒的机器学习，时间序列数据分析，具体包括但不限于微米分辨率光学相干层析成像（Micro-OCT）在眼科和皮肤成像上的应用和推广、内窥式Micro-OCT在消化道和心血管成像的推广和应用、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：

     2026年

6. Wenrui Lin, Chenao Yuan, Yunzhi Huang, Jun Xu, and Yuemei Luo*, “Adaptive self-supervised learning for retinal disease detection in optical coherence tomography images,”  Neurocomputing, 134378 (2026). (研究生一作)

5. Xiangge Sun, Wenrui Lin, Chenao Yuan, Jun Xu, and Yuemei Luo*, “Self-Supervised OCT Representation Learning with Local Dimensionality Regularization for Automated Retinal Disease Diagnosis,”  Sensors, 26(17), 5338 (2026). (本科生一作)

4. Chenao Yuan, Xiangge Sun, Linbo Liu, Jun Xu, and Yuemei Luo*, “Self-supervised learning with channel attention mechanism and regularization for retinal disease detection in optical coherence tomography images,”  Applied Optics, 65(22), 7458-7470 (2026). (研究生一作)

3. Yuemei Luo, Yuan Li, Jiaxue Mei, Jun Xu, and Xiaohua Qian*, “Automatic Identification of Retinopathy from Optical Coherence Tomography Images via a Similarity Matching Approach,”  In 51th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 8072-8076, IEEE, Barcelona, Spain, May 03, 2026. (CCF-B)

2. Yuemei Luo, Yuan Li, Lei Tao, Jun Xu, and Linbo Liu*, “Dual-path Prompt-enhanced Semi-supervised Segmentation for Retinal Vessel Quantification in OCTA Imaging,” Applied Soft Computing, 114778 (2026).

1. Weide Liu, Xiaoyang Zhong, Lu Wang, Jingwen Hou, Yuemei Luo, Jiebin Yan, and Yuming Fang, ``Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data,'' Accepted by IEEE Transactions on Multimedia (2026).

2025年

4. 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), 16(6), 2312-2326 (2025). (本科生一作)

3. 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). 

2. 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)

1. 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)

2024年

7. 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). 

6. 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)

5. 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, 73, 1-12 (2024). DOI: 10.1109/TIM.2024.3398101.

4. 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).

3. 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)

2. 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)

1. 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 4^th 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)

2024年之前：

7. Yuanyi Feng, Yuemei Luo, Jianfei Yang, “Cross-platform Privacy-Preserving CT Image COVID-19 Diagnosis Based on Source-free Domain Adaptation,” Knowledge-Based Systems, 264, 110324 (2023).

6. 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).

5. 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). 

4. 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). 

3. En Bo, Xin Ge, Yuemei Luo, Xuan Wu, Si Chen, Haitao Liang, Shufen Chen, Xiaojun Yu, Ping Shum, Jianhua Mo, Nanguang Chen, Linbo Liu, “Cellular-Resolution In Vivo Tomography in Turbid Tissue through Digital Aberration Correction,” PhotoniX, 1(1), 1-12, (2020).

2. 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). 

1. En Bo, Yuemei Luo, Si Chen, Xinyu Liu, Nanshuo Wang, Xin Ge, Xianghong Wang, Shufen Chen, Shi Chen, Jinhan Li, and Linbo Liu, “Depth of Focus Extension in optical coherence tomography via multiple aperture synthesis,” Optica, 4(7), 701-706 (2017).

科研项目：

国家自然科学基金(青年项目) （主持）

江苏省高等学校基础科学（自然科学）研究面上项目（主持）

教学成果：

1. 2023年、2024年、2025年连续三年指导学生获得中国研究生人工智能创新大赛全国三等奖

2. 荣获2025年本科毕业论文（设计）优秀指导教师

3. 2024年获批校级国际课程建设项目

指导学生：

2025级研究生：朱家弘、范睿杰、贺薛阳、徐榕蔚

2024级研究生：郭文轩、徐超、林文睿

2023级研究生：袁陈奥、Wickramaarachchi Minidu Thiranjaya、Arman Mohammad Nakib

2022级研究生：李源（中南大学深造）

2023级本科生：孙相阁、庄文庆、陆家亿

2021级本科生：宫昌昊（同济大学深造）、陶磊（电子科技大学深造）、钱瑾（电子科技大学深造）、林爽

团队名称：智能医学图像计算江苏高校重点实验室

团队介绍：