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cs.LG2026
TimeAPN: Adaptive Amplitude-Phase Non-Stationarity Normalization for Time Series Forecasting
Yue Hu, Jialiang Tang, Siwei Yu +3
Non-stationarity is a fundamental challenge in multivariate long-term time series forecasting, often manifested as rapid changes in amplitude and phase. These variations lead to se…
cs.LG2025
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
Jialiang Tang, Shuo Chen, Chen Gong +2
Time Series Forecasting (TSF) is critical in many real-world domains like financial planning and health monitoring. Recent studies have revealed that Large Language Models (LLMs),…