3 papers
cs.LG2026
Structure-Aware Graph Multi-Task Learning for Dynamic Sparse OD Demand Prediction
Ming Xu, Jiawei Cao
Origin-Destination (OD) demand prediction is fundamental to intelligent transportation systems, yet real-world OD flows are often dynamically sparse, long-tailed, and characterized…
cs.LG2026
SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting
Shaoxun Wang, Xingjun Zhang, Qianyang Li +2
Accurate multivariate time series forecasting hinges on inter-series correlations, which often evolve in complex ways across different temporal scales. Existing methods are limited…
cs.LG2025
D-CTNet: A Dual-Branch Channel-Temporal Forecasting Network with Frequency-Domain Correction
Shaoxun Wang, Xingjun Zhang, Kun Xia +3
Accurate Multivariate Time Series (MTS) forecasting is crucial for collaborative design of complex systems, Digital Twin building, and maintenance ahead of time. However, the colla…