Matrix factorization (MF) is a fundamental model in data mining and machine learning, which
finds wide applications in diverse application areas, including recommendation systems with …

In various application domains like transportation, urban planning, and public health,
analyzing human mobility, represented as a sequence of consecutive visits (aka …

Trajectory anomaly detection is crucial for effective decision-making in urban and human
mobility management. Existing methods of trajectory anomaly detection generally focus on …

The world has witnessed transformative advancements in photonics, encompassing a broad
range of applications from AR/VR glasses to LiDAR technology employed in self-driving …