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Yiming Yang

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Preprint Sep 2026

RoXDrive: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving via Action-Faithful Rollouts

End-to-end autonomous driving policies are commonly trained via imitation learning on logged demonstrations without observing the consequences of their own actions, leading to causal confusion in closed-loop real-world deployment. To address this issue, reinforcement learning (RL) post-training offers a promising alter...

Hong-Bin Lin, Chao-Da Zheng, Yi-Ming Yang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Modeling Clinical Workflow for SYNTAX Scoring from Coronary Angiography Videos

This work reformulates SYNTAX scoring as a vessel segment identity-preserving anatomical reasoning problem and proposes a hierarchical modeling framework that explicitly aligns learning with the clinical workflow to highlight the necessity of structure-aligned modeling for reliable and stable automated SYNTAX scoring f...

Su-Zhong Fu, Jing-Qi Dong, Xuan Ding et al. · 0 citations
Jul 2026

Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding

This work designs a scalable CoT curation pipeline that bootstraps rationales from a strong LLM through a two-round strategy and employs a VLM-based verifier to filter out incorrect cases, yielding a high-quality set of (CoT, answer) pairs.

Yueru Luo, Xu Yan, Changqing Zhou et al. · 0 citations

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