Author

Jia-Xing Zhang

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#machine learning Preprint Sep 2026

SCOPE: Observation-Conditioned Full-Target Prediction for Sparse PDE Inference

Recovering complete physical fields from sparse observations is challenging because the measurements may not uniquely determine the underlying state. Diffusion-based PDE solvers address this problem through iterative sampling whereas neural operators provide deterministic one-pass predictions. We propose SCOPE (Sparse-...

Rui-Chen Xu, Si-Yao Wang, Fang Wan et al. · 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