Minhao Xiong — accepted AI-conference papers

2026

Prune2Drive: A Plug-and-Play Framework for Accelerating Vision-Language Models in Autonomous Driving

Minhao Xiong, Zichen Wen, Zhuangcheng Gu, Xuyang Liu, Rui Zhang, Hengrui Kang +5

CVPR 2026

Vision-Language Models (VLMs) have emerged as a promising paradigm in autonomous driving (AD), providing a unified framework for perception and decisionmaking. However, their real-world deployment is hindered by significant computational overhead when processing high-resolution, multi-view images. T

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2025

V2XScenes: A Multiple Challenging Traffic Conditions Dataset for Large-Range Vehicle-Infrastructure Collaborative Perception

Bowen Wang, Yafei Wang, Wei Gong, Siheng Chen, Genjia Liu, Minhao Xiong +1

ICCV 2025poster

Whether autonomous driving can effectively handle challenging scenarios such as bad weather and complex traffic environments is still in doubt. One of the critical difficulties is that the single-view perception makes it hard to obtain the complementary perceptual information around the multi-condit…

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