| Graph contrastive learning for source localization in social networks Q Bao, Y Jiang, W Zhang, P Jiao, J Su Information Sciences 679, 121090, 2024 | | 2024 |
| Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation Z Zhou, Z Zhao, Y Zhang, Y Deng, S Wang, H Wu, P Jiao IEEE Transactions on Consumer Electronics, 2024 | | 2024 |
| Disentangled Representation Learning for Structural Role Discovery W Zhang, L Pan, X Guo, P Jiao IEEE Transactions on Computational Social Systems, 2024 | | 2024 |
| Contrastive representation learning on dynamic networks P Jiao, H Chen, H Tang, Q Bao, L Zhang, Z Zhao, H Wu Neural Networks 174, 106240, 2024 | | 2024 |
| Accurate Network Alignment via Consistency in Node Evolution Q Peng, Y Wang, P Jiao, H Wu, W Wang IEEE Transactions on Big Data, 2024 | | 2024 |
| RD-GCN: A Role-Based Dynamic Graph Convolutional Network for Information Diffusion Prediction J Ye, Q Bao, M Xu, J Xu, H Qiu, P Jiao IEEE Transactions on Network Science and Engineering, 2024 | | 2024 |
| CINA: Curvature-Based Integrated Network Alignment with Hypergraph P Jiao, Y Liu, Y Wang, G Zhang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2709-2722, 2024 | | 2024 |
| A deep contrastive framework for unsupervised temporal link prediction in dynamic networks P Jiao, X Zhang, Z Liu, L Zhang, H Wu, M Gao, T Li, J Wu Information Sciences 667, 120499, 2024 | 1 | 2024 |
| Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning P Jiao, H Chen, Q Bao, W Zhang, H Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8571-8581, 2024 | | 2024 |
| VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks X Zhang, P Jiao, M Gao, T Li, Y Wu, H Wu, Z Zhao IEEE Transactions on Information Forensics and Security, 2024 | 1 | 2024 |
| HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs H Liu, P Jiao, X Guo, H Wu, M Gao, J Zhang IEEE Transactions on Big Data, 2024 | | 2024 |
| Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis Z Zhao, J Zhu, P Jiao, J Wang, X Zhang, X Lu, Y Zhang BMC Medical Informatics and Decision Making 24 (1), 19, 2024 | 2 | 2024 |
| Link prediction in bipartite networks via effective integration of explicit and implicit relations X Chen, C Liu, X Li, Y Sun, W Yu, P Jiao Neurocomputing 566, 127016, 2024 | | 2024 |
| Fine-tuned Personality Federated Learning for Graph Data M Xue, Z Zhou, P Jiao, H Tang IEEE Transactions on Big Data, 2024 | 1 | 2024 |
| Role-oriented representation learning via fusioning local and higher-order feature M Du, P Jiao, H Tang, W Zhang, J Wu Knowledge-Based Systems 282, 111115, 2023 | | 2023 |
| On Multi-Modal Fusion Learning in Pathological Diagnosis of Fetal Distress Y Zhang, Z Zhao, Y Deng, P Jiao 2023 IEEE International Conference on E-health Networking, Application …, 2023 | | 2023 |
| Enhancing Network Alignment through Multi-Scale Information Fusion Z Chen, P Jiao, Y Wang, H Tang, J Zhang 2023 IEEE International Conference on Knowledge Graph (ICKG), 200-208, 2023 | | 2023 |
| Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction Y Lu, M Gao, H Liu, Z Liu, W Yu, X Li, P Jiao Pattern Recognition 144, 109818, 2023 | 3 | 2023 |
| MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries S Wang, T Weng, J Wang, Y Shen, Z Zhao, Y Liu, P Jiao, Z Cheng, ... arXiv preprint arXiv:2311.10380, 2023 | | 2023 |
| Temporal graph representation learning with adaptive augmentation contrastive H Chen, P Jiao, H Tang, H Wu Joint European conference on machine learning and knowledge discovery in …, 2023 | 4 | 2023 |
Huaming Wu (吴华明）Professor, Tianjin University; IEEE Senior Member在 tju.edu.cn 的电子邮件经过验证
