3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2025
A Unified Contrastive-Generative Framework for Time Series Classification
Ziyu Liu, Azadeh Alavi, Minyi Li +1
Self-supervised learning (SSL) for multivariate time series mainly includes two paradigms: contrastive methods that excel at instance discrimination and generative approaches that…
cs.LG2024★ 1 cited
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
Ziyu Liu, Azadeh Alavi, Minyi Li +1
Self-supervised contrastive learning has become a key technique in deep learning, particularly in time series analysis, due to its ability to learn meaningful representations witho…
cs.LG2024★ 3 cited
Self-Supervised Learning for Time Series: Contrastive or Generative?
Ziyu Liu, Azadeh Alavi, Minyi Li +1
Self-supervised learning (SSL) has recently emerged as a powerful approach to learning representations from large-scale unlabeled data, showing promising results in time series ana…