الباحثون

Zhendong Mi

المنشورات 2

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Imagine the Future, Internalize the Gist: Efficient VLA Reasoning via Internalized Spatiotemporal Imagination

Shenglan Li, Zhendong Mi, Hengyi Zhu وآخرون · 2026

Vision-language-action (VLA) models increasingly incorporate intermediate reasoning to improve robotic manipulation, yet existing approaches primarily reason about observed states without explicitly anticipating future scene evolution. Extending such reasoning to explicit future rollouts at every inference step, howeve …

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SpectralCache: Accelerating Diffusion-Based World Models via Spectral Feature Caching

Zhendong Mi, Pu Zhao, Ziyu Hu وآخرون · 2026

Diffusion-based world models enable high-quality interactive environment generation but suffer from substantial inference overhead due to repeated Transformer evaluations during denoising. Existing caching methods mainly exploit temporal redundancy at the feature or token level, leaving the underlying mathematical stru …

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