2 papers
cs.AI2026
Recovering Lost Details: Multi-Scale Frequency Compensation for Long-Term Time Series Forecasting
Runmin Zou, Siyi Xie, Yaohui Huang +1
Long-term time series forecasting has made significant progress by leveraging multi-scale information to capture hierarchical temporal patterns and model long-range dependencies. H…
cs.LG2026
MFMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting
Yaohui Huang, Runmin Zou, Yun Wang +2
Forecasting time series with extreme events is critical yet challenging due to their high variance, irregular dynamics, and sparse but high-impact nature. While existing methods ex…