Zeming Li

About

I am a Ph.D. student in the Department of Computer Science at Hong Kong Baptist University, advised by Dr. Lu Zhang. My research covers deep learning, computational genomics, and large language model agents. My doctoral work develops genome-data-driven disease risk prediction models, studies the practical use of large language models in traditional Chinese and Western medicine, and investigates LLM agents in biomedical settings.

Research directions

1. Developing large language models for traditional Chinese and Western medicine, targeting assisted diagnosis and evidence-based medical information retrieval.
2. Using deep learning to integrate heterogeneous genomics and electronic health record data for disease risk prediction and interpretive analysis.

Publications

* equal contribution  ·  names in bold denote me

1. 2025

   RAPID: Reliable and efficient Automatic generation of submission rePortIng checklists with large language moDels.

   Li, Z., Luo, X., Yang, Z., Zhang, H., Wang, B., Ge, L., Bian, Z., Zou, J., Chen, Y., & Zhang, L.

   Journal of the American Medical Informatics Association (JAMIA) doi First author

2. 2025

   Causal Transformer for Learning Embeddings from Structured Medical History Records and Multi-Source Data Integration for Complex Disease Risk Prediction.

   Li, Z., Xu, Y., Chowdhury, D., Yip, H. F., Wang, C., & Zhang, L.

   Interdisciplinary Sciences: Computational Life Sciences, 18, 614–627. doi First author

3. 2025

   Using Large Language Models to Assess the Consistency of Randomized Controlled Trials on AI Interventions With CONSORT-AI: Cross-Sectional Survey.

   Luo, X.^*, Li, Z.^*, Yang, Z.^*, Wang, B., Ma, Y., Chen, F., Wang, Q., Ge, L., Zou, J., Zhang, L., Chen, Y., & Bian, Z.

   Journal of Medical Internet Research (JMIR) doi Equal contribution

4. 2025

   Large Language Models in Integrative Medicine: Progress, Challenges, and Opportunities.

   Yip, H. F., Li, Z., Zhang, L., & Lyu, A.

   Journal of Evidence-Based Medicine doi

5. 2025

   Large Language Models in Traditional Chinese Medicine: A Scoping Review.

   Ren, Y., Luo, X., Wang, Y., Li, H., Zhang, H., Li, Z., Lai, H., Li, X., Ge, L., Estill, J., Zhang, L., Yang, S., Chen, Y., Wen, C., & Bian, Z.

   Journal of Evidence-Based Medicine

6. 2024

   Med-PRSIMD: Enhanced Complex Disease Risk Prediction through Integrative Analysis of Multi-Type Data and Medical History Records.

   Li, Z., Xu, Y., Chowdhury, D., Yip, H. F., Wang, C., & Zhang, L.

   Proceedings of ACM BCB 2024 doi First author

7. 2022

   A machine learning model for disease risk prediction by integrating genetic and non-genetic factors.

   Xu, Y., Wang, C., Li, Z., Cai, Y., Young, O., Lyu, A., & Zhang, L.

   IEEE International Conference on Bioinformatics and Biomedicine (BIBM) doi

Research Experience