| Hypergraph transformer neural networks M Li, Y Zhang, X Li, Y Zhang, B Yin ACM Transactions on Knowledge Discovery from Data 17 (5), 1-22, 2023 | 21 | 2023 |
| Student achievement prediction using deep neural network from multi-source campus data X Li, Y Zhang, H Cheng, M Li, B Yin Complex & Intelligent Systems 8 (6), 5143-5156, 2022 | 17 | 2022 |
| Multi-view hypergraph neural networks for student academic performance prediction M Li, Y Zhang, X Li, L Cai, B Yin Engineering Applications of Artificial Intelligence 114, 105174, 2022 | 13 | 2022 |
| Self-supervised nodes-hyperedges embedding for heterogeneous information network learning M Li, Y Zhang, W Zhang, Y Chu, Y Hu, B Yin IEEE Transactions on Big Data, 2023 | 4 | 2023 |
| CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks M Li, Y Zhang, W Zhang, S Zhao, X Piao, B Yin IEEE Transactions on Computational Social Systems, 2023 | 1 | 2023 |
| Amgcl: Feature imputation of attribute missing graph via self-supervised contrastive learning X Zhang, M Li, Y Wang, H Fei arXiv preprint arXiv:2305.03741, 2023 | 1 | 2023 |
| Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model M Li, Y Zhang, X Li, X Lin, B Yin Intelligent Data Analysis 27 (1), 137-163, 2023 | 1 | 2023 |
| Shcn: Self-supervised general hypergraph clustering network L Mengran, P Xinglin, Z Yong, H Yongli, Y Baocai 2022 IEEE International Conference on Big Data (Big Data), 1298-1303, 2022 | 1 | 2022 |
| Redundancy Is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning M Li, Y Zhang, S Wang, Y Hu, B Yin IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
Baocai YinVerified email at bjut.edu.cn
