Time series analysis stands as a focal point within the data mining community, serving as a
cornerstone for extracting valuable insights crucial to a myriad of real-world applications …

With the significant development of large models in recent years, Large Vision-Language
Models (LVLMs) have demonstrated remarkable capabilities across a wide range of …

Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

The proliferation of geospatial data in urban and territorial environments has significantly
facilitated the development of geospatial artificial intelligence (GeoAI) across various urban …

Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

Spatio-temporal trajectories play a vital role in various spatio-temporal data mining tasks.
Developing a versatile trajectory learning approach that can adapt to different tasks while …

Vehicle trajectories provide crucial movement information for various real-world
applications. To better utilize vehicle trajectories, it is essential to develop a trajectory …

Spatio-temporal (ST) trajectories are sequences of timestamped locations, which enable a
variety of analyses that in turn enable important real-world applications. It is common to map …

Modeling trajectory data with generic-purpose dense representations has become a
prevalent paradigm for various downstream applications, such as trajectory classification …

Vehicle trajectories provide valuable movement information that supports various
downstream tasks and powers real-world applications. A desirable trajectory learning model …