1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Fast Screening Approach for High-dimensional Outcomes and High-dimensional Predictors
Hongju Park, Zhenyao Ye, Shuo Chen
Modeling interactions among multimodal, high-dimensional data is intrinsically challenging due to ultra-high dimensionality and complex dependence structure with high level noise.…
Trustworthy AI/ML Regression and Unbiased Causal Inference for Real-World Data
Yifei Xu, Hwiyoung Lee, Zhenyao Ye +5
Real-World Data (RWD), with its large sample sizes and rich clinical detail, offers a compelling alternative to randomized controlled trials (RCTs) for studying treatment effects i…
Graph Canonical Correlation Analysis
Hongju Park, Shuyang Bai, Zhenyao Ye +3
Canonical correlation analysis (CCA) is a widely used technique for estimating associations between two sets of multi-dimensional variables. Recent advancements in CCA methods have…
The Effect of Alcohol intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data
Chixiang Chen, Shuo Chen, Zhenyao Ye +3
Although substance use, such as alcohol intake, is known to be associated with cognitive decline during aging, its direct influence on the central nervous system remains incomplete…