Publications
* indicates equal contribution.
Preprints
A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasis
Boyang Fu*, Ali Pazokitoroudi*, Albert Xue, Aakarsh Anand, Prateek Anand, Noah Zaitlen, Sriram Sankararaman
bioRxiv
Paper
2024
A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits
Boyang Fu*, Prateek Anand, Aakarsh Anand, Joel Mefford, Sriram Sankararaman
Research in Computational Molecular Biology (RECOMB), 2024
2023
Leveraging family data to design Mendelian Randomization that is provably robust to population stratification
Nathan LaPierre*, Boyang Fu*, Steven Turnbull, Eleazar Eskin, Sriram Sankararaman
Genome Research, 2023
Paper
Fast Kernel-based Association Testing of non-linear genetic effects for Biobank-scale data
Boyang Fu,Ali Pazokitoroudi, Mukund Sudarshan, Lakshminarayanan Subramanian, Sriram Sankararaman
Nature Communications, 2023
Paper
2021
Marginal Contribution Feature Importance-an Axiomatic Approach for Explaining Data
Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Libi Weiss Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
International Conference on Machine Learning (ICML), 2021
Paper
2020
A Statistical Model for Quantifying the Needed Duration of Social Distancing for the COVID-19 Pandemic
Nadav Rakocz, Boyang Fu, Eran Halperin, Sriram Sankararaman
KDD 2020 - AI For COVID-19, 2020
Paper
PrivateBus: Privacy Identification and Protection in Large-Scale Bus WiFi Systems
Zhihan Fang, Boyang Fu, Zhou Qin, Fan Zhang, Desheng Zhang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2020
Paper
2019
MAC: Measuring the impacts of anomalies on travel time of multiple transportation systems
Zhihan Fang, Yu Yang, Shuai Wang, Boyang Fu, Zixing Song, Fan Zhang, Desheng Zhang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2019
Paper