3 papers
cs.LG2026
Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity
Xu Zhang, Zhengang Huang, Yunzhi Wu +6
Current time series forecasting (TSF) research predominantly focuses on scale-homogeneous data, where different time series share similar numerical magnitude ranges. However, in re…
cs.LG2026
Global Feature Enhancing and Fusion Framework for Strain Gauge Time Series Classification
Xu Zhang, Peng Wang, Chen Wang +3
Strain Gauge Status (SGS) time series recognition is crucial in the field of intelligent manufacturing based on the Internet of Things, as accurate identification helps timely dete…
q-fin.ST2026
Multi-period Learning for Financial Time Series Forecasting
Xu Zhang, Zhengang Huang, Yunzhi Wu +7
Time series forecasting is important in finance domain. Financial time series (TS) patterns are influenced by both short-term public opinions and medium-/long-term policy and marke…