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 …

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 …

Human mobility prediction is of great importance for a wide spectrum of location-based
applications. However, predicting mobility is not trivial because of three challenges: 1) the …

Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …

Predicting the next location a user tends to visit is an important task for applications like
location-based advertising, traffic planning, and tour recommendation. We consider the next …

Trajectory clustering, which aims at discovering groups of similar trajectories, has long been
considered as a corner stone task for revealing movement patterns as well as facilitating …

Understanding human mobility is of great importance to various applications, such as urban
planning, traffic scheduling, and location prediction. While there has been fruitful research …

With the ever-increasing urbanization process, systematically modeling people's activities in
the urban space is being recognized as a crucial socioeconomic task. This task was nearly …

Recognizing representative living patterns in population is extremely valuable for urban
planning and decision making. Thanks to the growing popularity of location-based …

Mobility prediction, which is to predict where a user will arrive based on the user's historical
mobility records, has attracted much attention. We argue that it is more useful to know not …