Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …

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

Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …

Trajectory-User Linking (TUL), which links trajectories to users who generate them, has
been a challenging problem due to the sparsity in check-in mobility data. Existing methods …

The problem of trip recommendation has been extensively studied in recent years, by both
researchers and practitioners. However, one of its key aspects—understanding human …

People are keen to share their geospatial locations to access social activities or services via
mobile internet, which provides a new perspective for us to understand human mobility …

Thanks to the agility and mobility features, unmanned aerial vehicles (UAVs) have been
applied for a wide range of civil and military missions. To remotely control and monitor …

Trajectories, a specific type of mobility data, can be used for many useful data mining tasks.
However, these trajectories also raises important privacy concerns due to their strong …

Trajectory-User Linking (TUL) is a relatively new mobility classification task in which
anonymous trajectories are linked to the users who generated them. With applications …

Massive volumes of high-frequency and high-volume data are constantly being generated
by the vast amount of available tracking sensors of moving objects. This phenomenon can …