MS student, Beijing Jiaotong University
2 papers at NeurIPS 2025
Propose a vehicle trajectory learning model capable of transferring across regions and tasks without retraining.
We propose a novel trajectory representation learning approach that efficiently learns travel semantics, including movement patterns and travel purposes, from vehicle trajectories.
