Publications

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. NeurIPS workshop.

Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Richard Yang, Wenyu Zhang, Xinyi Wang, Rui Zhang, Pengyu Hong, David W. Bates, Li Zhou (2024). Generative Large Language Models in Electronic Health Records for Patient Care Since 2023: A Systematic Review. medRxiv.

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.

Hao Xu, Yifei Wang, Yunrui Li, Pengyu Hong (2023). Asymmetric contrastive multimodal learning for advancing chemical understanding. arXiv.

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

Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong (2022). Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. MAKE.

Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu (2021). On dyadic fairness: Exploring and mitigating bias in graph connections.. In ICLR.

Yifei Wang, Hao Peng, Long Sha, Zheyuan Liu, Pengyu Hong (2021). COVID-19 Trend Forecasting Using State-level Mobility and Policy. medRxiv.