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Open access Aug 2026

ChoreDiffusion: Beat-Aware Diffusion for Music-to-Dance Generation

Music-to-dance generation requires precisely aligning movement dynamics with musical rhythm, yet existing methods rely on shallow conditioning or auxiliary beat-alignment objectives that fail to establish stable beat–motion correspondences. We present ChoreDiffusion, a diffusion-based framework that integrates explicit...

Yufei Gao, Qiang Wu, Shuliang Zhu et al. · 0 citations
Preprint Jul 2026

An adaptive and evolvable deep reinforcement learning framework for weather prediction

Feitian Adaptive Ensemble Weather (FTAE-Weather), a lightweight framework that learns, through deep reinforcement learning, when and where to trust each member of an open pool of pretrained forecasters, converts a growing, fragmented inventory of specialist models into a single prediction system that strengthens as the...

Qiang Wu, Han Li, Jian-Ping Huang · 0 citations

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