Focal Interest
Focal Interest

Feature learning

  1. Data augmented hybrid GCN transformer for student engagement recognition in E-learning
    Hybrid framework combining graph networks and transformers with synthetic data augmentation for automatic student engagement recognition from facial video in e-learning systems.
  2. HMMC improved heterogeneous graph representation learning
    Self-supervised heterogeneous graph neural network framework using multi-scale meta-path contrastive learning for improved local-global structural modeling.