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Jialin Fan

1 accepted papers

2026

Transferring Causal Driving Patterns for Generalizable Traffic Simulation with Diffusion-Based Distillation

AAAI 2026technical

Traffic simulation is essential for validating the safety and reliability of autonomous driving systems, yet data-driven simulation methods often struggle with distribution shifts, limiting their generalizability across diverse datasets (domains). To address this, we present Causal Driving Pattern T

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