This study presented an optimization-based DIR ap-proach that employed an explicit Gaussian representation to achieveefficient DVF estimation, strong generalization, and high interpretabil-ity.
Jul 9, 2025
A high-performance computing framework for variable selection in GWAS that integrates state-of-the-art methods and employs novel optimization strategies for efficient processing of high-dimensional data with sparse characteristics.
Dec 3, 2024
A novel one-shot federated learning method that performs layer-wise posterior aggregation, achieving superior performance by aggregating posterior distributions instead of point estimates.
Jan 1, 2024