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07/04/2023
Nexus sine qua non: Essentially connected neural networks for spatial-temporal forecasting of multivariate time series
Modeling and forecasting multivariate time series not only facilitates t...
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03/10/2023
Towards better traffic volume estimation: Tackling both underdetermined and non-equilibrium problems via a correlation-adaptive graph convolution network
Traffic volume is an indispensable ingredient to provide fine-grained in...
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10/21/2022
Correlating sparse sensing for network-wide traffic speed estimation: An integrated graph tensor-based kriging approach
Traffic speed is central to characterizing the fluidity of the road netw...
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05/19/2022