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. 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.

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.