1 citations · 1 across the 5 of their papers we have counts for
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DPWMixer: Dual-Path Wavelet Mixer for Long-Term Time Series Forecasting
Li Qianyang, Zhang Xingjun, Wang Shaoxun +1
Long-term time series forecasting (LTSF) is a critical task in computational intelligence. While Transformer-based models effectively capture long-range dependencies, they often su…
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…
DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting
Qianyang Li, Xingjun Zhang, Shaoxun Wang +1
Long-term time series forecasting (LTSF) is hampered by the challenge of modeling complex dependencies that span multiple temporal scales and frequency resolutions. Existing method…