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cs.LG2025
AWEMixer: Adaptive Wavelet-Enhanced Mixer Network for Long-Term Time Series Forecasting
Qianyang Li, Xingjun Zhang, Peng Tao +3
Forecasting long-term time series in IoT environments remains a significant challenge due to the non-stationary and multi-scale characteristics of sensor signals. Furthermore, erro…
cs.LG2025
A Time-Series Foundation Model by Universal Delay Embedding
Zijian Wang, Peng Tao, Jifan Shi +3
This study introduces Universal Delay Embedding (UDE), a pretrained foundation model designed to revolutionize time-series forecasting through principled integration of delay embed…
cs.LG2025
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
Zijian Wang, Peng Tao, Luonan Chen
Predicting time-series is of great importance in various scientific and engineering fields. However, in the context of limited and noisy data, accurately predicting dynamics of all…