| MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis G Wen, P Cao, H Bao, W Yang, T Zheng, O Zaiane Computers in Biology and Medicine 142, 105239, 2022 | 97 | 2022 |
| TE-HI-GCN: An ensemble of transfer hierarchical graph convolutional networks for disorder diagnosis L Li, H Jiang, G Wen, P Cao, M Xu, X Liu, J Yang, O Zaiane Neuroinformatics, 1-23, 2022 | 41 | 2022 |
| MS-SSD: Multi-scale single shot detector for ship detection in remote sensing images G Wen, P Cao, H Wang, H Chen, X Liu, J Xu, O Zaiane Applied Intelligence 53 (2), 1586-1604, 2023 | 30 | 2023 |
| BrainTGL: A dynamic graph representation learning model for brain network analysis L Liu, G Wen, P Cao, T Hong, J Yang, X Zhang, OR Zaiane Computers in Biology and Medicine 153, 106521, 2023 | 18 | 2023 |
| Collaborative learning of graph generation, clustering and classification for brain networks diagnosis W Yang, G Wen, P Cao, J Yang, OR Zaiane Computer Methods and Programs in Biomedicine 219, 106772, 2022 | 12 | 2022 |
| Modeling the dynamic brain network representation for autism spectrum disorder diagnosis P Cao, G Wen, X Liu, J Yang, OR Zaiane Medical & Biological Engineering & Computing 60 (7), 1897-1913, 2022 | 11 | 2022 |
| Graph self-supervised learning with application to brain networks analysis G Wen, P Cao, L Liu, J Yang, X Zhang, F Wang, OR Zaiane IEEE Journal of Biomedical and Health Informatics 27 (8), 4154-4165, 2023 | 7 | 2023 |
| Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks P Cao, G Wen, L Li, X Liu, J Yang, O Zaiane 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 5 | 2021 |
| Research on hybrid recommendation model based on PersonRank algorithm and TensorFlow platform G Wen, C Li Journal of Physics: Conference Series 1187 (4), 042086, 2019 | 5 | 2019 |
| A unified framework of graph structure learning, graph generation and classification for brain network analysis P Cao, G Wen, W Yang, X Liu, J Yang, O Zaiane Applied Intelligence 53 (6), 6978-6991, 2023 | 3 | 2023 |
| BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis P Zhang, G Wen, P Cao, J Yang, J Zhang, X Zhang, X Zhu, OR Zaiane, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Exploring attention mechanism for graph similarity learning W Tan, X Gao, Y Li, G Wen, P Cao, J Yang, W Li, OR Zaiane Knowledge-Based Systems 276, 110739, 2023 | 2 | 2023 |
| Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis L Li, G Wen, P Cao, X Liu, O R. Zaiane, J Yang International Journal of Computer Assisted Radiology and Surgery 18 (4), 663-673, 2023 | 2 | 2023 |
| DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation W Tan, P Cao, Z Jin, F Luo, G Wen, W Li Proceedings of the 2022 6th International Conference on Machine Learning and …, 2022 | 2 | 2022 |
| Capturing temporal node evolution via self-supervised learning: a new perspective on dynamic graph learning L Liu, G Wen, P Cao, J Yang, W Li, OR Zaiane Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 1 | 2024 |
| BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis R Song, P Cao, G Wen, P Zhao, Z Huang, X Zhang, J Yang, OR Zaiane Medical Image Analysis 96, 103211, 2024 | | 2024 |
| Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis Z Jin, G Wen, P Cao, L Liu, J Yang, X Zhu, OR Zaiane, F Wang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning G Wen, P Cao, Z Jin, R Song, X Liu, J Yang, OR Zaiane International Conference on Advanced Data Mining and Applications, 470-485, 2023 | | 2023 |
