Yongchao Ye — accepted AI-conference papers

2023

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model

Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu

NeurIPS 2023poster

Pervasive integration of GPS-enabled devices and data acquisition technologies has led to an exponential increase in GPS trajectory data, fostering advancements in spatial-temporal data mining research. Nonetheless, GPS trajectories contain personal geolocation information, rendering serious privacy…

Cited by 61 Source ↗PDF ↗code ↗Scholar ↗

2023

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis

Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Yu

NeurIPS 2023poster

Urban mobility analysis has been extensively studied in the past decade using a vast amount of GPS trajectory data, which reveals hidden patterns in movement and human activity within urban landscapes. Despite its significant value, the availability of such datasets often faces limitations due to pr…

Cited by 18 Source ↗PDF ↗code ↗Scholar ↗