With the popularity of mobile devices and location-based social network, understanding and
modelling the human mobility becomes an important topic in the field of ubiquitous …

Emerging Internet of Things (IoT) applications, such as cashier-less shopping, mobile ads
targeting, and geo-based augmented reality (AR), are expected to bring us much more …

Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …

Spatial-temporal graph learning has emerged as the state-of-the-art solution for modeling
structured spatial-temporal data in learning region representations for various urban sensing …

To fully support the emerging location-aware applications, location information with meter-
level resolution (or even higher) is required anytime and anywhere. Unfortunately, most of …

In this work, we investigate the user identity linkage task across different social media
platforms based on heterogeneous multi-modal posts and social connections. This task is …

Abstract Anchor Link Prediction (ALP) across heterogeneous networks plays a pivotal role in
inter-network applications. The difficulty of anchor link prediction in heterogeneous networks …

Despite achieving remarkable performance, deep graph learning models, such as node
classification and network embedding, suffer from harassment caused by small adversarial …

User identity linkage (UIL) across social networks has recently attracted an increasing
amount of attention due to its significant research challenges and practical value. Most of the …