| Multi-level feature learning for contrastive multi-view clustering J Xu, H Tang, Y Ren, L Peng, X Zhu, L He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 267 | 2022 |
| Simple unsupervised graph representation learning Y Mo, L Peng, J Xu, X Shi, X Zhu Proceedings of the AAAI conference on artificial intelligence 36 (7), 7797-7805, 2022 | 153 | 2022 |
| Adaptive feature projection with distribution alignment for deep incomplete multi-view clustering J Xu, C Li, L Peng, Y Ren, X Shi, HT Shen, X Zhu IEEE Transactions on Image Processing 32, 1354-1366, 2023 | 93 | 2023 |
| Fedni: Federated graph learning with network inpainting for population-based disease prediction L Peng, N Wang, N Dvornek, X Zhu, X Li IEEE Transactions on Medical Imaging 42 (7), 2032-2043, 2022 | 89 | 2022 |
| Deep incomplete multi-view clustering via mining cluster complementarity J Xu, C Li, Y Ren, L Peng, Y Mo, X Shi, X Zhu Proceedings of the AAAI conference on artificial intelligence 36 (8), 8761-8769, 2022 | 88 | 2022 |
| Reverse graph learning for graph neural network L Peng, R Hu, F Kong, J Gan, Y Mo, X Shi, X Zhu IEEE transactions on neural networks and learning systems, 2022 | 74 | 2022 |
| Multigraph fusion for dynamic graph convolutional network J Gan, R Hu, Y Mo, Z Kang, L Peng, Y Zhu, X Zhu IEEE Transactions on Neural Networks and Learning Systems 35 (1), 196-207, 2022 | 67 | 2022 |
| Multiplex graph representation learning via dual correlation reduction Y Mo, Y Chen, Y Lei, L Peng, X Shi, C Yuan, X Zhu IEEE Transactions on Knowledge and Data Engineering 35 (12), 12814-12827, 2023 | 47 | 2023 |
| GRLC: Graph representation learning with constraints L Peng, Y Mo, J Xu, J Shen, X Shi, X Li, HT Shen, X Zhu IEEE transactions on neural networks and learning systems, 2023 | 46 | 2023 |
| GATE: Graph CCA for temporal self-supervised learning for label-efficient fMRI analysis L Peng, N Wang, J Xu, X Zhu, X Li IEEE Transactions on Medical Imaging 42 (2), 391-402, 2022 | 33 | 2022 |
| Dementia analysis from functional connectivity network with graph neural networks L Wang, W Yuan, L Zeng, J Xu, Y Mo, X Zhao, L Peng Information Processing & Management 59 (3), 102901, 2022 | 15 | 2022 |
| MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning L Peng, S Cai, Z Wu, H Shang, X Zhu, X Li Medical Image Analysis, 103225, 2024 | 8 | 2024 |
| Complementary graph representation learning for functional neuroimaging identification R Hu, L Peng, J Gan, X Shi, X Zhu Proceedings of the 30th ACM International Conference on Multimedia, 3385-3393, 2022 | 6 | 2022 |
| Robust and dynamic graph convolutional network for multi-view data classification L Peng, F Kong, C Liu, P Kuang The Computer Journal 64 (7), 1093-1103, 2021 | 6 | 2021 |
| Unsupervised Multiplex Graph Learning with Complementary and Consistent Information L Peng, X Wang, X Zhu Proceedings of the 31th ACM International Conference on Multimedia, 2023 | 5 | 2023 |
| Prognostic value of entropy derived from late gadolinium enhancement images to adverse cardiac events in post-myocardial infarction patients L Wang, L Peng, X Zhao, Y Ma, F Jin, X Zhao Academic radiology 30 (2), 239-247, 2023 | 5 | 2023 |
| Simple self-supervised multiplex graph representation learning Y Mo, Y Chen, L Peng, X Shi, X Zhu Proceedings of the 30th ACM International Conference on Multimedia, 3301-3309, 2022 | 3 | 2022 |
| Method for reconstructing a 3D object based on dynamic graph network P Kuang, L Peng, X Gu US Patent 11,715,258, 2023 | 1 | 2023 |
Xiaofeng ZHUUniversity of Electronic Science and Technology of China (电子科技大学)Adresse e-mail validée de massey.ac.nz