Graph neural networks with multiple prior knowledge for multi-omics data analysis S Xiao, H Lin, C Wang, S Wang, JC Rajapakse IEEE Journal of Biomedical and Health Informatics 27 (9), 4591-4600, 2023 | 8 | 2023 |
A probabilistic contrastive framework for semi-supervised learning H Lin, CY Zhang, S Wang, W Guo IEEE Transactions on Multimedia 25, 8767-8779, 2023 | 3 | 2023 |
A new robust contrastive learning for unsupervised person re-identification H Lin, HT Fu, CY Zhang, CLP Chen International Journal of Machine Learning and Cybernetics 15 (5), 1779-1793, 2024 | | 2024 |
Multi-Relation Augmentation for Graph Neural Networks S Xiao, H Lin, J Wang, X Qin, S Wang IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | | 2024 |
FMixAugment for Semi-supervised Learning with Consistency Regularization H Lin, S Wang, Z Liu, S Xiao, S Du, W Guo Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 127-139, 2021 | | 2021 |