Author

Guangxu Zhu

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#artificial intelligence Preprint Oct 2026

Not All Uncertainty Matters: Simulation-in-the-Loop Fast-Slow Reasoning for Decision-Critical Autonomous Driving System

Large vision-language models (VLMs) provide powerful open-world perception and reasoning for autonomous driving, but their high computational cost and inference latency make continuous cloud-side use impractical. This motivates fast--slow collaboration, where efficient onboard modules handle real-time perception and co...

Jia-Yi Chen, Shuai Wang, Guang-Xu Zhu et al. · 0 citations

Jul 2026

AirMoE: Statistic-Augmented Over-the-Air MoE for Collaborative Intelligence

Taking semantic segmentation task as an example, extensive experiments demonstrate that AirMoE outperforms MoE baselines and single-model competitors.

Wei-Bin Kou, Jingreng Lei, Guangxu Zhu et al. · arXiv.org · 0 citations

Preprint Aug 2026

VisCache: Visual KV Cache Pruning for Efficient Vision Large Language Model Inference

VisCache is proposed, a plug-and-play framework for coarse-to-fine KV pruning without training that consistently outperforms existing baselines, establishing a new Pareto frontier between efficiency and performance for long-context VLLM inference.

Lyuke Wang, Zhuo Li, Guang-Xu Zhu · 0 citations