136 citations · 172 across the 4 of their papers we have counts for
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cs.AI2024
STDCformer: A Transformer-Based Model with a Spatial-Temporal Causal De-Confounding Strategy for Crowd Flow Prediction
Silu He, Peng Shen, Pingzhen Xu +2
Existing works typically treat spatial-temporal prediction as the task of learning a function to transform historical observations to future observations. We further decompose…
cs.LG2024★ 136 cited
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
Qinyao Luo, Silu He, Xing Han +2
Accurate traffic forecasting is a fundamental problem in intelligent transportation systems and learning long-range traffic representations with key information through spatiotempo…