Conference
Open access
Sep 2026
MiniST: Unlocking Input Window Length in Traffic Flow Forecasting with Compact Parameters
Spatiotemporal traffic forecasting currently faces dual challenges: capturing long-range periodic dependencies and managing the computational burden of increasingly complex deep neural network architectures. Mainstream models typically contain millions of parameters and struggle to handle long sequence historical data...
Sheng Huang, Guan-Jun Wang, Jia-Ming Ma et al.
· Proceedings of the Thirty-Fi... · 0 citations