Yifei Wang

20212022202320247 35 52 27

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Pengyu HongBrandeis UniversityVerified email at brandeis.edu
Hongfu LiuAssistant Professor of Computer Science, Brandeis UniversityVerified email at brandeis.edu
Peizhao LiResearch Scientist, GE HealthCareVerified email at brandeis.edu
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Long ShaBrandeis UniversityVerified email at brandeis.edu
Yunrui LiBrandeis UniversityVerified email at brandeis.edu
Hang LiuRutgers, The State University of New JerseyVerified email at scarletmail.rutgers.edu
Shiyang ChenPh.D. student, Rutgers UniversityVerified email at scarletmail.rutgers.edu
Guobin ChenMaster Student of Computer Science, Brandeis UniversityVerified email at brandeis.edu
Hao XuML Postdoc, Brandeis UniveristyVerified email at brandeis.edu

Yifei Wang

PhD candidate of Computer Science, Brandeis University

Verified email at brandeis.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On dyadic fairness: Exploring and mitigating bias in graph connections P Li, Y Wang, H Zhao, P Hong, H Liu International Conference on Learning Representations, 2021	112	2021
Motif-based graph representation learning with application to chemical molecules Y Wang, S Chen, G Chen, E Shurberg, H Liu, P Hong Informatics 10 (1), 8, 2023	3	2023
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph T Yang, Y Wang, L Sha, J Engelbrecht, P Hong Machine Learning and Knowledge Extraction 4, 432--445, 2022	3	2022
A machine learning approach to robustly determine director fields and analyze defects in active nematics Y Li, Z Zarei, PN Tran, Y Wang, A Baskaran, S Fraden, MF Hagan, P Hong Soft matter 20 (8), 1869-1883, 2024	2*	2024
Asymmetric contrastive multimodal learning for advancing chemical understanding H Xu, Y Wang, Y Li, P Hong arXiv preprint arXiv:2311.06456, 2023	1	2023
Counterpart Fairness--Addressing Systematic between-group Differences in Fairness Evaluation Y Wang, Z Zhou, L Wang, J Laurentiev, P Hou, L Zhou, P Hong arXiv preprint arXiv:2305.18160, 2023		2023
State-level COVID-19 Trend Forecasting Using Mobility and Policy Data Y Wang, H Peng, L Sha, Z Liu, P Hong medRxiv, 2021.01. 04.21249218, 2021		2021

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