Zihuai He

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 8

Top Topics

Learning Models

Variable Selection

Number Of Input Variables

Top Venues

Nat. Mac. Intell.

Publications

Peyman Hosseinzadeh Kassani, Fred Lu, Yann Le Guen, Michaël E. Belloy, Zihuai He
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. Nat. Mac. Intell. 4 (9) (2022)
Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He
Ensembling improves stability and power of feature selection for deep learning models. MLCB (2022)
Prashnna K. Gyawali, Yann Le Guen, Xiaoxia Liu, Hua Tang, James Zou, Zihuai He
Improving genetic risk prediction across diverse population by disentangling ancestry representations. CoRR (2022)
Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He
Ensembling improves stability and power of feature selection for deep learning models. CoRR (2022)
Hua Tang, Zihuai He
Advances and challenges in quantitative delineation of the genetic architecture of complex traits. Quant. Biol. 9 (1) (2021)
Peyman Hosseinzadeh Kassani, Fred Lu, Yann Le Guen, Zihuai He
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. CoRR (2021)
Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He, Adam Gordon, Iftikhar J. Kullo, Shawn N. Murphy, Yizhao Ni, Wei-Qi Wei, Ali Gharavi, Krzysztof Kiryluk, Chunhua Weng, Iuliana Ionita-Laza
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. npj Digit. Medicine 4 (2021)
Yun Li, Zhe Liu, Lina Yao, Zihuai He
Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. CIKM (2020)