Qianwen Meng

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series

Learning semantic-rich representations from raw unlabeled time series data is critical for downstream tasks such as classification and forecasting. Contrastive learning has recently shown its promising representation learning capability in the absence of expert annotations. However, existing contras…