Author

Fred Zhangzhi Peng

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Review Open access Sep 2026

Synthetic Echocardiograms from Diffusion Models in Rare Cardiovascular Disease

The limited availability of imaging data for uncommon cardiovascular phenotypes constrains the development of robust imaging models. We evaluated whether class-conditional diffusion models can generate synthetic transthoracic echocardiograms that improve downstream cardiac imaging tasks. The primary application was car...

Pengfei Lyu, Ricardo Henao, L. Kwee et al. · medRxiv · 0 citations

#machine learning Preprint Sep 2026

Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One

Language generation is almost universally treated as a sequential process: autoregressive models emit one token at a time, while diffusion language models replace token-level seriality with a long trajectory of iterative refinement. In this work, we introduce PlaidQ, a 0.7B continuous diffusion language model for code...

Fred Zhangzhi Peng, Kai-Wen Zheng, An-Ru R. Zhang · 1 citation · ⚡1

#protein folding Preprint Aug 2026

Off-Manifold Collapse in Guided Protein Language Models

A cheap density prior is introduced over natural protein activations and keeps only the candidates that remain typical under it, a training-free post-hoc step the authors call Mahalanobis filtering that improves both the property score and the structural plausibility of the sequences it keeps at negligible cost, withou...

Shuibai Zhang, Xin-Chi Liu, Fred Zhangzhi Peng et al. · 0 citations