most citedCATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables

6 citations · 7 across the 13 of their papers we have counts for

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stat.ML2026★ 6 cited

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables

Jiecheng Lu, Xu Han, Yan Sun +1

For Multivariate Time Series Forecasting (MTSF), recent deep learning applications show that univariate models frequently outperform multivariate ones. To address the difficiency i…

stat.ML2026

ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning

Jiecheng Lu, Xu Han, Shihao Yang

Long-term time series forecasting (LTSF) is important for various domains but is confronted by challenges in handling the complex temporal-contextual relationships. As multivariate…