Author

Yu-Huan Zhao

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#artificial intelligence Preprint Sep 2026

LRC-JEPA: Disentangling Dynamics and Residual Context for Efficient World Models

Compact JEPA world models enable efficient latent-space planning, but low-dimensional representation trained under reward-free self-supervision must encode both action-conditioned dynamics and predictable visual context. This competition can entangle controllable state with high-rank nuisance appearance and degrade pla...

Lu-Zhe Huang, Lei Chu, Jing-Yi Liang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Spectral Reversal: Counteracting Singular Value Bias for Graph Prompting

Pre-training Graph Neural Networks (GNNs) via self-supervised learning has become a dominant paradigm, yet efficiently adapting frozen encoders remains a challenge. Graph prompting offers a parameter-efficient alternative to fine-tuning, but existing methods largely treat pre-trained models as opaque feature extractors...

Han-Xu Yang, Yu-Huan Zhao, Xiao-Dong He et al. · 0 citations