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Jia-Shu Li

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#artificial intelligence Preprint Oct 2026

YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving

End-to-end driving policies can achieve strong task performance while offering limited control over their driving style. Driving style describes how a vehicle accelerates, brakes, and maintains distance. Policies trained without explicit preference conditioning lack a direct mechanism for adjusting these behaviors at i...

Guan-Tian Zheng, Li-Dong Yu, Tian-Yu Gao et al. · 0 citations
#machine learning Preprint Aug 2026

Language-Informed Flow Matching for Trend-Guided Structure-Based 3D Molecular Generation

LiFT, a language-informed cross-modal framework built on Flow Matching for trend-guided 3D molecular generation across both de novo design and scaffold hopping, and suggests that language-derived chemical priors provide effective trend-level guidance for 3D molecular generation.

Tian-Yu Gao, Zhi-Kai Su, Jia-Shu Li et al. · 0 citations

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