3 papers
cs.LG2026
MoE Enhanced Federated Learning for Spatiotemporal Prediction
Zhehao Dai, Xiao Han, Zhaolin Deng +4
Traffic prediction is fundamental to intelligent transportation systems and urban computing, yet many cities continue to suffer from traffic data scarcity due to limited sensor dep…
cs.LG2026
Multimodal Trajectory Representation Learning for Travel Time Estimation
Zhi Liu, Xuyuan Hu, Xiao Han +4
Accurate travel time estimation (TTE) plays a crucial role in intelligent transportation systems. However, it remains challenging due to heterogeneous data sources and complex traf…
cs.LG2025
A Dataset for Spatiotemporal-Sensitive POI Question Answering
Xiao Han, Dayan Pan, Xiangyu Zhao +4
Spatiotemporal relationships are critical in data science, as many prediction and reasoning tasks require analysis across both spatial and temporal dimensions--for instance, naviga…