Author

Hongchang Gao

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Preprint Aug 2026

Longitudinal Bayesian Learning of Continuous Disease Position across the Alzheimer's Disease Continuum

Alzheimer's disease (AD) progresses as a continuous biological process, whereas most existing neuroimaging-based artificial intelligence methods remain limited to discrete diagnosis or clinical score prediction from cross-sectional imaging. In this work, we propose Disease Continuum Positioning (DCP), a longitudinal Ba...

Ying-Ying Zhang, Kun Zhao, Guodong Liu et al. · 0 citations

#machine learning Preprint Oct 2026

Smoothed Gradient Method for Nonconvex Federated Stochastic Bilevel Optimization

In recent years, federated stochastic bilevel optimization has attracted increasing attention due to its wide range of applications in machine learning. To reduce the computational overhead associated with second-order Hessian and Jacobian matrices, several first-order methods have been proposed. However, existing meth...

Xinwen Zhang, Pei-Ran Yu, Zhao-Song Lu et al. · 0 citations