Shanliang Yao

Contrastive learning with hybrid data augmentation and pseudo-label supervision for short text clustering

2026 · Intelligent Data Analysis

Contrastive learning has become a powerful paradigm for unsupervised representation learning. However, its effectiveness largely depends on carefully designed data augmentation strategies to generate meaningful positive and negative pairs. Additionally, unsupervised clustering algorithms are typically …