Traffic prediction, an essential component for intelligent transportation systems, endeavours
to use historical data to foresee future traffic features at specific locations. Although existing …

With the proliferation of mobile sensing techniques, huge amounts of time series data are
generated and accumulated in various domains, fueling plenty of real-world applications. In …

The expanding instrumentation of processes throughout society with sensors yields a
proliferation of time series data that may in turn enable important applications, eg, related to …

With the recent success of large language models, particularly foundation models with
generalization abilities, applying foundation models for recommendations becomes a new …

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

Human trajectory modeling is essential for deciphering movement patterns and supporting
advanced applications across various domains. However, existing methods are often …

Intelligent Transportation Systems (ITSs) are designed to alleviate traffic congestion and
provide convenience for travelers or decision-makers. However, the challenge lies in …

The expanding instrumentation of processes throughout society with sensors yields a
proliferation of time series data that may in turn enable important applications, eg, related to …

Spatiotemporal 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 …

As urbanization accelerates, the rise in private car usage has become a double-edged
sword, symbolizing economic growth while exacerbating urban air pollution due to …