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Fu-Qiang Gu

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Conference Open access Sep 2026

Uncertainty-Guided Adaptive Conservative Offline Reinforcement Learning for Safer Mechanical Ventilation

Mechanical ventilation (MV) is essential in intensive care units (ICUs), yet conventional protocols lack personalization and risk harmful over- or under-ventilation. Offline reinforcement learning (ORL) enables policy optimization from retrospective clinical data without unsafe online interaction, but existing methods...

Hui-Dong Liu, Hang Yu, Qiyang Zhang et al. · 0 citations
Preprint Aug 2026

SG-Layout: Structured Scene Graph-Guided Layout Generation with LLMs

Experimental results show that SG-Layout improves spatial reasoning accuracy and geometric consistency over the compact open-source backbone, with particularly clear advantages in relation-dense and compositionally complex scenes.

Junsheng Wang, Chao Chen, Mengying Xie et al. · 0 citations
Conference Open access Sep 2026

Disturbance-Aware Hybrid Learning for Robust and Adaptive UAV Flight in Extreme Winds

WA-TD3 is introduced, a data-driven control framework that enables real-time wind disturbance perception and adaptive compensation without dedicated wind sensors, and consistently outperforms state-of-the-art methods on tracking accuracy under strong winds.

Hui-Dong Liu, Jia-Rui Dou, Jiang-Shan Ai et al. · 0 citations

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