397 citations · 804 across the 16 of their papers we have counts for
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cs.AI2024
Spatio-Temporal Graphical Counterfactuals: An Overview
Mingyu Kang, Duxin Chen, Ziyuan Pu +2
Counterfactual thinking is a crucial yet challenging topic for artificial intelligence to learn knowledge from data and ultimately improve performance for new scenarios. Many resea…
cs.AI2022★ 2 cited
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer
Meixin Zhu, Simon S. Du, Xuesong Wang +4
Car-following refers to a control process in which the following vehicle (FV) tries to keep a safe distance between itself and the lead vehicle (LV) by adjusting its acceleration i…
cs.AI2021★ 24 cited
Learning dynamic and hierarchical traffic spatiotemporal features with Transformer
Haoyang Yan, Xiaolei Ma
Traffic forecasting is an indispensable part of Intelligent transportation systems (ITS), and long-term network-wide accurate traffic speed forecasting is one of the most challengi…