3 papers
cs.LG2025
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification
Mingsen Du, Meng Chen, Yongjian Li +2
Multivariate time series (MTS) classification is widely applied in fields such as industry, healthcare, and finance, aiming to extract key features from complex time series data fo…
cs.LG2025
Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
Mingsen Du, Meng Chen, Yongjian Li +4
Multivariate time series (MTS) data is generated through multiple sensors across various domains such as engineering application, health monitoring, and the internet of things, cha…
cs.LG2024
ST-Tree with Interpretability for Multivariate Time Series Classification
Mingsen Du, Yanxuan Wei, Yingxia Tang +3
Multivariate time series classification is of great importance in practical applications and is a challenging task. However, deep neural network models such as Transformers exhibit…