Trajectory Datasets
I work on building large-scale, high-fidelity trajectory datasets to support urban mobility research and enable data-driven AI model development.
Key Works
- Global-Scale Trajectory Dataset (KDD PhD 2025): Building a global-scale trajectory dataset from OpenStreetMap
- SynMob (NeurIPS 2023): Creating high-Cidelity synthetic GPS trajectory dataset for urban mobility analysis
Research Focus
- Develop scalable methods for collecting and processing real-world trajectory data
- Create synthetic datasets for privacy preservation and data augmentation
- Build benchmark datasets for model evaluation and comparison