ST-Align: A Time Series and Text Alignment Framework for Cross-Subject Multivariate Time Series Classification

Published in Neural Networks (NN), 2025

Status: Submitted to Neural Networks (NN).

This paper proposes the ST-Align framework, which solves the alignment and fusion problem of cross-subject multivariate time series and text information, improving the generalization ability of classification tasks.