Author

Peng-Fei Gu

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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 Sep 2026

Arithmetic Simplicity in Stochastic Gradient Methods

This work shows how to transform AdaGrad, Adam, and AdamW into arithmetically simple, and the convergence analysis is given for a static Adam, which is also arithmetically simple.

Bin Fu, Peng-Fei Gu, J. Nuñez et al. · 0 citations

Open access Aug 2026

Interpretable multimodal learning for integrating neuroimaging and genetic data in Alzheimer’s disease

R-GenIMA, an interpretable multimodal large language model that pairs a region-of-interest vision transformer with genetic prompting to jointly analyze structural MRI and single nucleotide polymorphisms, shows that interpretable multimodal AI can integrate imaging and genetics to reveal disease mechanisms.

Kun Zhao, Si-Yuan Dai, Ying-Ying Zhang et al. · Frontiers in Radiology · 0 citations