The works of Gatys et al. demonstrated the capability of Convolutional Neural Networks
(CNNs) in creating artistic style images. This process of transferring content images in …

The primary concern of numerous online social media network (SMN) platforms is how to
provide users with effective and personalized web services. To achieve this goal, SMN …

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

As the complexity and dynamism of financial markets continue to grow, traditional financial
risk prediction methods increasingly struggle to handle large datasets and intricate behavior …

In distributed IoT data systems, full-size data collection is impractical due to the energy
constraints and large system scales. Our previous work has investigated the advantages of …

Characterizing human driver's driving behaviors from global positioning system (GPS)
trajectories is an important yet challenging trajectory mining task. Previous works heavily …

Users tend to own multiple accounts on different location-based social network (LBSN)
platforms, and they typically engage with diverse social circles on each platform within the …

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 …

Deep neural networks have recently achieved considerable improvements in learning
human behavioral patterns and individual preferences from massive spatial-temporal …

With the widely used mobile phones, the user's trajectory data can be easily collected by the
base station. The trajectory representation learning is the upstream task of trajectory …