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Jing-Qi Wang

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#machine learning Preprint Sep 2026

MotionWeave: Learning Motion-Centered Future Dynamics for Vision-Language-Action Policies

Vision-Language-Action (VLA) models have recently incorporated world models to provide richer dynamic supervision beyond sparse action labels. However, explicitly predicting future images or videos may include control-irrelevant appearance, while guidance derived from holistic future visual representations and shared g...

Jing-Qi Wang, Yan Wang · 0 citations
#computer vision Preprint Aug 2026

WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving

WA-JEPA is presented, a V-JEPA-native world-action model designed for autonomous driving planning that employs hybrid future-masked pre-training and recast future prediction as conditional flow matching over latent futures, which substantially improves the model's ability to generate plausible future latents for downst...

Xin-Lin Wang, Yu Xiang, Yuheng Zhou et al. · 0 citations

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