Publications

Yiming Li, Joseph M Plasek, Xinsong Du, Yifei Wang, Zhengyang Zhou, John Lian, Ya-Wen Chuang, Pengyu Hong, Peter C Hou, Li Zhou (2026). Interactive active learning for literature screening: finetuning GPT with DeepSeek reasoning for cross-domain generalization. JAMIA.

Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Wenyu Zhang, Xinyi Wang, Xinyu Chen, Hao Guan, John Lian, Pengyu Hong, David W. Bates, Li Zhou (2026). Testing and evaluation of generative large language models in electronic health record applications: a systematic review. JAMIA.

Yiming Li, Xinsong Du, Yifei Wang, Xinyu Chen, Zhengyang Zhou, John Lian, Ya-Wen Chuang, Pengyu Hong, Peter C. Hou, Li Zhou (2025). AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation. IJMEDI.

Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Pengyu Hong, David W. Bates, Li Zhou (2025). Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review. IJMEDI.

Yifei Wang, Yunrui Li, Lin Liu, Pengyu Hong, Hao Xu (2025). Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning. JCIM.

Xinsong Du, Anna Nagy, Michael F Oates, Yifei Wang, Xinyi Wang, Joseph M Plasek, Samuel J Aronson, Matthew S Lebo, Li Zhou (2025). Precision Grounding: Augmenting Large Language Models with Evidence-Based Databases for Trustworthy Genetic Variant Summarization. MedRxiv.

Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong (2024). Counterpart Fairness--Addressing Systematic between-group Differences in Fairness Evaluation. NIPS 2024 Workshop.

Yifei Wang, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R Lakin, Li Zhou, Pengyu Hong (2024). Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. JBI.

Yunrui Li, Zahra Zarei, Phu N Tran, Yifei Wang, Aparna Baskaran, Seth Fraden, Michael F Hagan, Pengyu Hong (2024). A machine learning approach to robustly determine director fields and analyze defects in active nematics. Soft Matter.

Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong (2023). Motif-based graph representation learning with application to chemical molecules. Informatics.