2 citations · 3 across the 6 of their papers we have counts for
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cs.LG2026
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
Fanpu Cao, Lu Dai, Jindong Han +1
Multivariate time series forecasting (MTSF) plays a vital role in numerous real-world applications, yet existing models remain constrained by their reliance on a limited historical…
cs.LG2025★ 1 cited
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting
Wenxuan Xie, Fanpu Cao
In recent work on time-series prediction, Transformers and even large language models have garnered significant attention due to their strong capabilities in sequence modeling. How…
cs.LG2024★ 2 cited
Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
Fanpu Cao, Shu Yang, Zhengjian Chen +2
Transformer-based models have achieved remarkable success in multivariate time series forecasting (MTSF) by capturing long-range dependencies. However, their widespread adoption is…