| 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 | 42 | 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 | 30 | 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 | 30 | 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 9 (4), 1210-1224, 2023 | 14 | 2023 |
| 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 | 7 | 2024 |
| 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 11 (2), 2277-2290, 2023 | 6 | 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 | 5 | 2023 |
| Gene expression prediction from histology images via hypergraph neural networks B Li, Y Zhang, Q Wang, C Zhang, M Li, G Wang, Q Song Briefings in Bioinformatics 25 (6), bbae500, 2024 | 4 | 2024 |
| SCAE: Structural Contrastive Auto-encoder for Incomplete Multi-view Representation Learning M Li, R Zhang, Y Zhang, X Piao, S Zhao, B Yin ACM Transactions on Multimedia Computing, Communications and Applications, 2024 | 3 | 2024 |
| 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 | 2 | 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 |
| Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things M Li, J Chen, C Yu, G Jiang, R Zhang, Y Shen, HH Song IEEE Internet of Things Journal, 2025 | | 2025 |
| AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs M Li, C Ding, J Chen, W Xing, C Ye, R Zhang, S Zhuang, J Hu, TZ Qiu, ... arXiv preprint arXiv:2501.00743, 2025 | | 2025 |
| TDG-Mamba: Advanced Spatiotemporal Embedding for Temporal Dynamic Graph Learning via Bidirectional Information Propagation M Li, J Chen, B Li, Y Zhang, R Zhang, S Gong, X Ma, Z Tian IEEE Transactions on Computational Social Systems, 2024 | | 2024 |
| TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories M Li, J Chen, G Jiang, F Li, R Zhang, S Gong, Z Lv arXiv preprint arXiv:2412.01122, 2024 | | 2024 |
| Effective Finite Time Stability Control for Human-Machine Shared Vehicle Following System Z Wang, M Li, R Zhang, J Zhao, C Hu, X Ma, Z Qiu arXiv preprint arXiv:2410.18007, 2024 | | 2024 |
| Contextual Semantics Interaction Graph Embedding Learning for Recommender Systems S Zhao, Y Zhang, M Li, X Piao, B Yin IEEE Transactions on Computational Social Systems, 2024 | | 2024 |
| Self-Attention-based Multi-Scale Feature Fusion Network for RoadPonding Segmentation S Yang, R Zhang, W Sun, S Chen, C Ye, H Wu, M Li Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image …, 2024 | | 2024 |
| Freeway Trajectory Prediction via SpatiotemporalTransformers J Peng, R Zhang, Z Yang, S Chen, C Ye, H Wu, M Li Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and …, 2024 | | 2024 |
Baocai YinAdresă de e-mail confirmată pe bjut.edu.cn