Xihong Yang

Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning

2023 · IEEE Transactions on Artificial Intelligence

Recently, consistency regularization has become a fundamental component in semi-supervised learning, which tries to make the network's predictions on unlabeled data to be invariant to perturbations. However, its performance decreases drastically when there are scarce …

Cluster-Guided Contrastive Graph Clustering Network

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Benefiting from the intrinsic supervision information exploitation capability, contrastive learning has achieved promising performance in the field of deep graph clustering recently. However, we observe that two drawbacks of the positive and negative sample construction …