Shanghai Artificial Intelligence Laboratory

Language-enhanced generative modeling for amyloid PET synthesis from MRI and blood biomarkers.

Assessment of amyloid pathology in Alzheimer's disease (AD) often relies on amyloid-beta positron emission tomography (Aβ-PET), but its clinical use is limited by cost and accessibility. We developed a language-enhanced generative framework to synthesize Aβ-PET images from T1-wei...

Diff-VF: Training-free High-quality Long Video Generation via Diffusion Model

Recently, diffusion models have made great progress in video generation. However, most existing video diffusion models are trained with short videos, and degrade when extrapolated to long videos, struggling to maintain long-range temporal coherence while retaining diverse motions...

Large language models as designers for autonomous research of anisotropic polymer thermocells

Flexible thermoelectric materials face a persistent trade-off between output power and mechanical robustness. Here, we report OmniMat, a large language model-driven framework that designs experimental protocols in a human-in-the-loop workflow without relying on structured task-sp...