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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Zhi-Yuan Liu

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Preprint Sep 2026

READ: Learning Risk-Informed Fields for End-to-End Autonomous Driving

Autonomous driving requires more than recognizing what is present in a scene: a planner must determine how road structure, surrounding agents, and their motion states should influence a future maneuver. Existing learning-based planners can capture these influences through latent scene features and trajectory decoders,...

Zhi-Yuan Liu, Yuan-Xin Tian, Ze-Hong Ke et al. · 0 citations
Jul 2026

DRIFT: Drift and Aggregation for Motion Planning

DRIFT, a fixed-depth planner that combines one-step drifting in a compact trajectory latent space with scene-aware proposal aggregation, is presented, showing that one-step latent proposal generation and direct aggregation provide an efficient design for multi-hypothesis motion planning.

Yi-Ning Xing, Zhi-Yuan Liu, Ze-Hong Ke et al. · 1 citation

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