Author

Jun-Wei You

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Preprint Sep 2026

V2X-WAM: A Cooperative World Action Model for End-to-End Autonomous Driving

Vehicle-infrastructure cooperation can complement onboard sensing with broader and more informative observations of the traffic environment, providing valuable support for end-to-end autonomous driving. However, existing cooperative driving methods mainly exploit roadside information to enhance the representation of th...

Jun-Wei You, Wei-Zhe Tang, Can Wang et al. · 0 citations

#artificial intelligence Feb 2026

HERMES: A Holistic End-to-End Risk-Aware Multimodal Embodied System with Vision-Language Models for Long-Tail Autonomous Driving

HerMES is proposed, a holistic risk-aware end-to-end multimodal driving framework that explicitly incorporates long-tail semantic knowledge into trajectory planning and demonstrates consistent improvements over representative recent baselines in overall planning performance and across diverse safety-critical scenarios.

Wei-Zhe Tang, Jun-Wei You, Jia-Xi Liu et al. · arXiv.org · 5 citations

Jul 2026

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting

An Efficient Multi-Attention Graph Network (EMAGN) that linearises the spatial attention mechanism itself, inspired by the theory of fast high-dimensional Gaussian filtering, which surpasses Linformer and Performer in both accuracy and efficiency within the same backbone, owing to its traffic-network-aware adaptive clu...

Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu et al. · arXiv.org · 0 citations