Author

Letian Zhang

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Preprint Oct 2026

ALPS: Visual State Encoders for World Models

World models turn visual representations into predictions and actions. We argue that their visual foundation should combine physical-state information, native language alignment, and pixel reconstruction, so that a single representation can support prediction, instruction, and inspection. However, existing encoders typ...

Yan-Qing Liu, Le-Tian Zhang, Cheng-Zhi Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

FedRoRA (Federated Rank-wise Personalized LoRA) is proposed, a novel framework that enables fine-grained personalization within rank-heterogeneous federations and consistently outperforms state-of-the-art methods.

Lei Wang, Jieming Bian, Letian Zhang et al. · 0 citations