Luo Yuemei

Luo Yuemei is a professor at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, a Longshan Scholar, a national-level overseas young talent, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. She graduated from the University of Electronic Science and Technology of China with a bachelor’s degree, and then received a doctorate from Nanyang Technological University in Singapore and conducted postdoctoral research. She has published more than 40 papers in recent years. He has been engaged in the research of medical high-resolution optical coherence tomography technology for a long time. His main research direction is micron resolution optical coherence tomography (micro-OCT) and its application in the fields of gastrointestinal tract, cardiovascular, skin, and ophthalmology. The specific directions include the promotion and application of endoscopic micro-OCT in gastrointestinal and cardiovascular imaging, the application and promotion of micro-OCT in ophthalmology and skin imaging, non-destructive optical detection, and medical image recognition based on deep learning. Google Scholar homepage: https://scholar.google.com.sg/citations?user=piaBPSEAAAAJ&hl=en. Students who are interested in the research direction of this research group are welcome to join. Contact information: luoyuemei@nuist.edu.cn.

For more information, please visit my personal homepage: https://faculty.nuist.edu.cn/luoyuemei/zh_CN/index.htm

Representative papers:

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. (Best Paper Award)

Translated from the original Chinese source.