Shurong Sheng

CLHi-MTS: A Contrastive Learning-Based Hierarchical Framework for Masked Medical Time-Series Modeling

Medical time-series analysis is crucial for the diagnosis and treatment of various diseases. As modern medical sensors evolve, the complexity and dimensionality of medical signals have increased, posing challenges for data labeling and classification. Self-supervised learning has emerged as a promis…