The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

Artificial general intelligence (AGI) has gained global recognition as a future technology due
to the emergence of breakthrough large language models and chatbots such as GPT-4 and …

Recently, an abundant amount of urban vehicle trajectory data has been collected in road
networks. Many studies have used machine learning algorithms to analyze patterns in …

Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

The prevalence of location-based services contributes to the explosive growth of individual-
level trajectory data and raises public concerns about privacy issues. In this research, we …

Generating human mobility trajectories is of great importance to solve the lack of large-scale
trajectory data in numerous applications, which is caused by privacy concerns. However …

Human trajectories, reflecting people's travel patterns and the range of activities, are crucial
for the applications like urban planning and epidemic control. However, the real-world …

Although highly valuable for a variety of applications, urban mobility data are rarely made
openly available, as it contains sensitive personal information. Synthetic data aims to solve …

Abstract Open Data Processing Services (ODPS) offers vast storage capacity and excellent
efficiency, which collects and stores a lot of data. As an essential component of ODPS …