3 papers
cs.DB2025
Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models
Panos Kalnis. Shuo Shang, Christian S. Jensen
Spatio-temporal data captures complex dynamics across both space and time, yet traditional visualizations are complex, require domain expertise and often fail to resonate with broa…
cs.LG2024
RED: Effective Trajectory Representation Learning with Comprehensive Information
Silin Zhou, Shuo Shang, Lisi Chen +2
Trajectory representation learning (TRL) maps trajectories to vectors that can then be used for various downstream tasks, including trajectory similarity computation, trajectory cl…
cs.LG2024
Grid and Road Expressions Are Complementary for Trajectory Representation Learning
Silin Zhou, Shuo Shang, Lisi Chen +2
Trajectory representation learning (TRL) maps trajectories to vectors that can be used for many downstream tasks. Existing TRL methods use either grid trajectories, capturing movem…