3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction
Zongyuan Huang, Weipeng Wang, Shaoyu Huang +3
Predicting individual mobility patterns is crucial across various applications. While current methods mainly focus on predicting the next location for personalized services like re…
cs.AI2024
TrajGEOS: Trajectory Graph Enhanced Orientation-based Sequential Network for Mobility Prediction
Zhaoping Hu, Zongyuan Huang, Jinming Yang +3
Human mobility studies how people move to access their needed resources and plays a significant role in urban planning and location-based services. As a paramount task of human mob…
cs.LG2021★ 3 cited
PGNet: Personalized and Group Preferences Guided Network for Next Place Prediction
Huifeng Li, Bin Wang, Fan Xia +3
Predicting the next place to visit is a key in human mobility behavior modeling, which plays a significant role in various fields, such as epidemic control, urban planning, traffic…