With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …

Passing gradient is a widely used scheme in modern multi-node learning system (eg,
distributed training, collaborative learning). In a long time, people used to believe that …

Location Based Social Networks (LBSNs) have been widely used as a primary data source
to study the impact of mobility and social relationships on each other. Traditional …

Location prediction is a key problem in human mobility modeling, which predicts a user's
next location based on historical user mobility traces. As a sequential prediction problem by …

With the recent surge of location based social networks (LBSNs), activity data of millions of
users has become attainable. This data contains not only spatial and temporal stamps of …

Traditional data mining usually deals with data from a single domain. In the big data era, we
face a diversity of datasets from different sources in different domains. These datasets …

Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …

Culture has been recognized as a driving impetus for human development. It co-evolves
with both human belief and behavior. When studying culture, Cultural Mapping is a crucial …

Networks can describe the structure of a wide variety of complex systems by specifying
which pairs of entities in the system are connected. While such pairwise representations are …