4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2025
LIFT: Interpretable truck driving risk prediction with literature-informed fine-tuned LLMs
Xiao Hu, Yuansheng Lian, Ke Zhang +3
This study proposes an interpretable prediction framework with literature-informed fine-tuned (LIFT) LLMs for truck driving risk prediction. The framework integrates an LLM-driven…
cs.RO2025★ 4 cited
CDKFormer: Contextual Deviation Knowledge-Based Transformer for Long-Tail Trajectory Prediction
Yuansheng Lian, Ke Zhang, Meng Li
Predicting the future movements of surrounding vehicles is essential for ensuring the safe operation and efficient navigation of autonomous vehicles (AVs) in urban traffic environm…