2 citations · 8 across the 4 of their papers we have counts for
4 papers
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability
Yan Lin, Tonglong Wei, Zeyu Zhou +5
Vehicle trajectories provide valuable movement information that supports various downstream tasks and powers real-world applications. A desirable trajectory learning model should t…
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Minbo Ma, Jilin Hu, Christian S. Jensen +4
Spatio-temporal forecasting of future values of spatially correlated time series is important across many cyber-physical systems (CPS). Recent studies offer evidence that the use o…
LightPath: Lightweight and Scalable Path Representation Learning
Sean Bin Yang, Jilin Hu, Chenjuan Guo +2
Movement paths are used widely in intelligent transportation and smart city applications. To serve such applications, path representation learning aims to provide compact represent…
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
Haomin Yu, Yanru Song, Jilin Hu +2
Crystal property prediction is a crucial aspect of developing novel materials. However, there are two technical challenges to be addressed for speeding up the investigation of crys…