Publications

* indicates equal contribution.

Preprints

FAME

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

MR

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

FastKAST

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

MCI

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

covid

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

private

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

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