Zi-Jun Huang

Disentangling Heterogeneous Traffic Dynamics for Multi-Step Traffic Forecasting via Adaptive Spectral Decomposition

The Adaptive Decomposition Network (ADNet), a component-specific forecasting framework that adaptively disentangles traffic dynamics into dominant and residual components, is proposed, and the effectiveness of adaptive decomposition and component-specific modeling for multi-step traffic forecasting is demonstrated.