I am currently an Assistant Professor in the School of Biomedical Engineering at Shenzhen University. My research interests focus on medical image processing, along with machine learning and deep learning for biomedical and healthcare applications - encompassing multi-modal biomedical data fusion, multi-modal large models, and their utility in computer-aided diagnosis and precision medicine.

Research Interest

• Medical image processing
• Machine learning and deep learning for biomedical and healthcare applications, especially focused in multi-modal biomedical data fusion for precision medicine
• Large language models and multi-modal vision language models in medicine

Selected Peer-reviewed Publications

1. Tong, L., Shi, W., Isgut, M., Zhong, Y., Lais, P., Gloster, L., … & Wang, M. D. (2023). Integrating multi-omics data with EHR for precision medicine using advanced artificial intelligence. IEEE Reviews in Biomedical Engineering, 17, 80-97.
2. Tong, L., Wu, H., Wang, M. D., & Wang, G. (2022). Introduction of medical genomics and clinical informatics integration for p-Health care. Progress in molecular biology and translational science, 190(1), 1-37.
3. Tong, L., Wu, H., & Wang, M. D. (2021). Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer. Methods, 189, 74-85.
4. Tong, L., Mitchel, J., Chatlin, K., & Wang, M. D. (2020). Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis. BMC medical informatics and decision making, 20, 1-12.
5. Tong, L., Wu, H., & Wang, M. D. (2019). CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images. Journal of the American Medical Informatics Association, 26(11), 1286-1296.