| Graph neural networks in node classification: survey and evaluation S Xiao, S Wang, Y Dai, W Guo Machine Vision and Applications 33 (1), 4, 2022 | 92 | 2022 |
| Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding S Wang, S Xiao, W Zhu, Y Guo Information Sciences 586, 224-238, 2022 | 27 | 2022 |
| Dual fusion-propagation graph neural network for multi-view clustering S Xiao, S Du, Z Chen, Y Zhang, S Wang IEEE Transactions on Multimedia 25, 9203-9215, 2023 | 22 | 2023 |
| SGAE: Stacked Graph Autoencoder for Deep Clustering S Xiao, S Wang, W Guo IEEE Transactions on Big Data 9 (1), 254-266, 2023 | 13 | 2023 |
| 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 |
| Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification S Huang, S Xiao, W Liu, J Lu, Z Wu, S Wang, JC Rajapakse 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| Multi-view graph convolutional networks with differentiable node selection Z Chen, L Fu, S Xiao, S Wang, C Plant, W Guo ACM Transactions on Knowledge Discovery from Data 18 (1), 1-21, 2023 | 1 | 2023 |
| Conditional selection with CNN augmented transformer for multimodal affective analysis J Wang, S Wang, S Xiao, R Lin, M Dong, W Guo CAAI Transactions on Intelligence Technology, 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 |
| 基于孪生网络与多重通道融合的脱机笔迹鉴别 林超群， 王大寒， 肖顺鑫， 池雪可， 王驰明， 张煦尧， 朱顺痣 自动化学报 50, 1-11, 2024 | | 2024 |
| MCKIE: Multi-class Key Information Extraction from Complex Documents Based on Graph Convolutional Network Z Huang, S Xiao, DH Wang, S Zhu Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 89-100, 2023 | | 2023 |
| 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 |
| 基于层次嵌入的方面抽取模型 刘漳辉， 肖顺鑫， 郑建宁， 郭昆 计算机与数字工程 48 (5), 1121-1130, 2020 | | 2020 |
Shiping WangFuzhou University在 fzu.edu.cn 的电子邮件经过验证
