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cs.LG2026
vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting
Wenzhen Yue, Ruohao Guo, Ji Shi +3
In this paper, we present \textbf{vLinear}, an effective yet efficient \textbf{linear}-based multivariate time series forecaster featuring two components: the \textbf{v}ecTrans mod…
cs.LG2025★ 1 cited
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
Wenzhen Yue, Yong Liu, Xianghua Ying +3
This paper presents \textbf{FreEformer}, a simple yet effective model that leverages a \textbf{Fre}quency \textbf{E}nhanced Trans\textbf{former} for multivariate time series foreca…
cs.LG2024★ 1 cited
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
Wenzhen Yue, Xianghua Ying, Ruohao Guo +5
In this paper, we present the Sub-Adjacent Transformer with a novel attention mechanism for unsupervised time series anomaly detection. Unlike previous approaches that rely on all…