Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. - Yun Li; Zhe Liu 023; Lina Yao 001; Zihuai He (CIKM, 2020)

Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. - Peyman Hosseinzadeh Kassani; Fred Lu; Yann Le Guen; Zihuai He (CoRR, 2021)

Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. - Danqing Xu; Chen Wang 146; Atlas Khan; Ning Shang; Zihuai He; Adam S. Gordon; Iftikhar J. Kullo; Shawn N. Murphy; Yizhao Ni; Wei-Qi Wei; Ali Gharavi; Krzysztof Kiryluk; et al. (npj Digit. Medicine, 2021)

Advances and challenges in quantitative delineation of the genetic architecture of complex traits. - Hua Tang; Zihuai He (Quant. Biol., 2021)

Ensembling improves stability and power of feature selection for deep learning models. - Prashnna K. Gyawali; Xiaoxia Liu; James Zou 001; Zihuai He (MLCB, 2022)

Improving genetic risk prediction across diverse population by disentangling ancestry representations. - Prashnna K. Gyawali; Yann Le Guen; Xiaoxia Liu; Hua Tang; James Zou 001; Zihuai He (CoRR, 2022)

Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. - Peyman Hosseinzadeh Kassani; Fred Lu; Yann Le Guen; Michaël E. Belloy; Zihuai He (Nat. Mac. Intell., 2022)

Repurposing Foundation Model for Generalizable Medical Time Series Classification. - Nan Huang 004; Haishuai Wang; Zihuai He; Marinka Zitnik; Xiang Zhang 012 (CoRR, 2024)