2 papers
cs.LG2026
FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction
Xinjin Li, Jinghan Cao, Mengyue Wang +5
Traffic forecasting requires modeling complex temporal dynamics and long-range spatial dependencies over large sensor networks. Existing methods typically face a trade-off between…
cs.NE2026
GeM-EA: A Generative and Meta-learning Enhanced Evolutionary Algorithm for Streaming Data-Driven Optimization
Yue Wu, Yuan-Ting Zhong, Ze-Yuan Ma +1
Streaming Data-Driven Optimization (SDDO) problems arise in many applications where data arrive continuously and the optimization environment evolves over time. Concept drift produ…