41 citations · 44 across the 7 of their papers we have counts for
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cs.LG2023
Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing
Ruixing Zhang, Liangzhe Han, Leilei Sun +3
User profiling and region analysis are two tasks of significant commercial value. However, in practical applications, modeling different features typically involves four main steps…
cs.LG2022★ 41 cited
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction
Liangzhe Han, Xiaojian Ma, Leilei Sun +4
Traffic demand forecasting by deep neural networks has attracted widespread interest in both academia and industry society. Among them, the pairwise Origin-Destination (OD) demand…
cs.LG2022★ 2 cited
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
Ruixing Zhang, Liangzhe Han, Boyi Liu +2
Recent years have witnessed a rapid growth of applying deep spatiotemporal methods in traffic forecasting. However, the prediction of origin-destination (OD) demands is still a cha…