Yifei Wang - RankMe

14 papers A* 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation. Int. J. Medical Informatics Yiming Li, Xinsong Du, Yifei Wang, Xinyu Chen, Zhengyang Zhou, John Lian, Ya-Wen Chuang, Pengyu Hong, Peter C. Hou, Li Zhou
2026	J	`jnl`	Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review. Int. J. Medical Informatics Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Pengyu Hong, David W. Bates, Li Zhou
2026	J	`jnl`	Testing and evaluation of generative large language models in electronic health record applications: a systematic review. J. Am. Medical Informatics Assoc. 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
2025	J	`jnl`	Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning. J. Chem. Inf. Model. Yifei Wang, Yunrui Li, Lin Liu, Pengyu Hong, Hao Xu
2025	J	`jnl`	Cross-Modality Controlled Molecule Generation with Diffusion Language Model. CoRR Yunzhe Zhang, Yifei Wang, Khanh Vinh Nguyen, Pengyu Hong
2024	J	`jnl`	Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. J. Biomed. Informatics Yifei Wang, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong
2023	J	`jnl`	Asymmetric Contrastive Multimodal Learning for Advancing Chemical Understanding. CoRR Hao Xu, Yifei Wang, Yunrui Li, Pengyu Hong
2023	J	`jnl`	Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation. CoRR Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong
2023	J	`jnl`	Motif-Based Graph Representation Learning with Application to Chemical Molecules. Informatics Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong
2022	J	`jnl`	Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. CoRR Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong
2022	J	`jnl`	Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. Mach. Learn. Knowl. Extr. Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong
2022	J	`jnl`	Motif-based Graph Representation Learning with Application to Chemical Molecules. CoRR Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong
2021	A*	`conf`	On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. ICLR Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu
2021	J	`jnl`	Predicting the Stereoselectivity of Chemical Transformations by Machine Learning. CoRR Justin Li, Dakang Zhang, Yifei Wang, Christopher Ye, Hao Xu, Pengyu Hong