Author

Jing-Xiang Qu

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#artificial intelligence Preprint Sep 2026

ReFM: Semantic-Aware Refinement Flow Model for Motion Retargeting

ReFM is proposed, a source-mesh-agnostic, energy-guided model that reformulates motion retargeting as progressive refinement and progressively refines an initialized target motion through a learned flow guided by semantic consistency, physical plausibility, temporal coherence, and minimal motion modification.

Jing-Xiang Qu, Lucie Taglienti, Evan Atherton · 0 citations

#machine learning Preprint Aug 2026

HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning

Graph self-supervised learning aims to learn transferable representations from large-scale unlabeled graph data. Joint-embedding predictive architectures (JEPAs) avoid explicit negative-pair construction and raw-input reconstruction by predicting masked targets directly in latent space. However, existing graph JEPAs ty...

Ruichen Xu, Jingxiang Qu, Wenhan Gao et al. · 0 citations