Co-authored paper “Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness” accepted by Science Advances (IF=12.5)
Co-authored review paper “Mitigating Ethical Issues for Large Language Models in Oncology: A Systematic Review” published in JCO Clinical Cancer Informatics
Paper “MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning” accepted by JAMIA; preprint available on arXiv
Paper “RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements” published in JAMIA
Paper “Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models” accepted to NAACL 2025
Co-authored paper “Benchmarking of Large Language Models for the Dental Admission Test” published in Health Data Science (Science Partner Journal)
Co-authored review paper accepted by npj Artificial Intelligence
Serving as reviewer for JMIR Medical Informatics, Applied Artificial Intelligence, ACL-SRW’25, ICNLSP’25, and others
Miscellany
Personal traits: Creative, curious, honest, passionate
Proficient in programming languages: Python, MATLAB, SQL, R, C/C++, Java
Experienced with deep learning frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face, vLLM
Strong mathematical foundation: Linear algebra, probability & statistics, convex and integer optimization, common ML algorithms, DL basics
Skilled in data processing and visualization: Pandas, NumPy, Matplotlib, Seaborn
Familiar with research and development tools: Linux Bash, Git, LaTeX, Slurm, etc.