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Guo-Pu Cheng

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#machine learning Preprint Oct 2026

SACQ: Structured Decoding with Memory-Conditioned Refinement for Long-Horizon Forecasting

Long-term time series forecasting (LTSF) models predominantly employ patch-based encoders terminated by a flatten readout head that maps the entire encoded historical memory to all future steps through a single shared projection. This implicit coupling of future positions obscures position-specific historical-to-future...

Guo-Pu Cheng, Zheng-Zhuo Xu, Chen-Chen Jing et al. · 0 citations
#machine learning Preprint Oct 2026

CARE: A Lightweight Plug-in Gated Correction and Uncertainty-aware Module for Long-term Time Series Forecasting

Multivariate long-horizon forecasting is critical to electricity load scheduling and traffic flow management, and to financial risk control. Existing deterministic backbones output a single trajectory, masking heterogeneous prediction difficulty across horizons and channels and providing no localized reliability signal...

Guo-Pu Cheng, Chang-Long Lv, Jing-Yi Hou · 0 citations

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