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 …

Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

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 …

Online platforms can be divided into information-oriented and social-oriented domains. The
former refers to forums or E-commerce sites that emphasize user-item interactions, like Trip …

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 …

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 …

Next POI recommendation has been studied extensively in recent years. The goal is to
recommend next POI for users at specific time given users' historical check-in data …

Realistic simulation of a massive amount of human mobility data is of great use in epidemic
spreading modeling and related health policy-making. Existing solutions for mobility …

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 …

Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …