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Yu-Chen Liu

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Preprint Oct 2026

KineWorld: Action-Induced Transport Fields for Embodied World Modeling

Embodied world models predict the visual consequences of candidate actions before execution. However, existing action-conditioned world models often adopt uniformly weighted visual generation objectives that can be misaligned with embodied prediction needs. Even with explicit motion conditioning, these objectives can u...

Zi-Ying Song, Yu-Chen Liu, Zhuo-Ran Xu et al. · 0 citations
Preprint Aug 2026

Not All History Helps: Velocity-Aware Selective Memory for Long-Horizon End-to-End Autonomous Driving

Reliable long-horizon planning remains a key challenge in end-to-end autonomous driving. By accounting for future motion evolution and potential consequences, it provides forward-looking guidance for safe and consistent driving in evolving traffic environments. Existing methods use historical planning states as tempora...

Yuchen Liu, Zi-Ying Song, Shengkai Zhang et al. · 0 citations

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