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Jia-Yuan Li

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Preprint Oct 2026

MORE: Learning Motion-Oriented Registers for Driving World Models and Planning

By predicting future states, latent world models provide rich self-supervision for end-to-end driving, but often inherit dense features from pretrained visual encoders as their world-state interface. This creates a mismatch: visual pretraining produces information-rich, spatially dense features, but their adaptation fo...

Yi Gu, Hao-Yu Wang, Shao-Cheng Yan et al. · 0 citations
#machine learning Preprint Oct 2026

Is High Local Accuracy Enough? Geometric Consensus with Support-Adaptive Statistical Personalization for Federated Learning

Real-world deployment of personalized federated learning (PFL) requires adapting to heterogeneous clients while preserving recognition performance beyond local distributions. However, high local accuracy can conceal failures on locally rare or absent classes. Effective personalization should therefore strengthen global...

Jun-Yu Lin, Bo-Song Qi, Pengcheng Shi et al. · 0 citations

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