| Interpretable learning based dynamic graph convolutional networks for alzheimer’s disease analysis Y Zhu, J Ma, C Yuan, X Zhu Information Fusion 77, 53-61, 2022 | 128 | 2022 |
| Su-ids: A semi-supervised and unsupervised framework for network intrusion detection E Min, J Long, Q Liu, J Cui, Z Cai, J Ma Cloud Computing and Security: 4th International Conference, ICCCS 2018 …, 2018 | 78 | 2018 |
| Brain functional connectivity analysis based on multi-graph fusion J Gan, Z Peng, X Zhu, R Hu, J Ma, G Wu Medical image analysis 71, 102057, 2021 | 48 | 2021 |
| Multi-band brain network analysis for functional neuroimaging biomarker identification R Hu, Z Peng, X Zhu, J Gan, Y Zhu, J Ma, G Wu IEEE transactions on medical imaging 40 (12), 3843-3855, 2021 | 43 | 2021 |
| Deep learning in biomedical image analysis M Kim, C Yan, D Yang, Q Wang, J Ma, G Wu Biomedical information technology, 239-263, 2020 | 33 | 2020 |
| Attention-guided deep graph neural network for longitudinal Alzheimer’s disease analysis J Ma, X Zhu, D Yang, J Chen, G Wu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 22 | 2020 |
| Dictionary-based active learning for sound event classification W Ji, R Wang, J Ma Multimedia tools and applications 78, 3831-3842, 2019 | 19 | 2019 |
| Dynamic graph convolutional networks by semi-supervised contrastive learning G Zhang, Z Hu, G Wen, J Ma, X Zhu Pattern Recognition 139, 109486, 2023 | 13 | 2023 |
| Robust multi-view continuous subspace clustering J Ma, R Wang, W Ji, J Zhao, M Zong, A Gilman Pattern Recognition Letters 150, 306-312, 2021 | 13 | 2021 |
| Relational recurrent neural networks for polyphonic sound event detection J Ma, R Wang, W Ji, H Zheng, E Zhu, J Yin Multimedia Tools and Applications 78, 29509-29527, 2019 | 12 | 2019 |
| Multimodality Alzheimer's disease analysis in deep Riemannian manifold J Ma, J Zhang, Z Wang Information Processing & Management 59 (4), 102965, 2022 | 11 | 2022 |
| Estimating common harmonic waves of brain networks on Stiefel manifold J Chen, G Han, H Cai, J Ma, M Kim, P Laurienti, G Wu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 8 | 2020 |
| Multi-scale graph classification with shared graph neural network P Zhou, Z Wu, G Wen, K Tang, J Ma World Wide Web 26 (3), 949-966, 2023 | 6 | 2023 |
| Information Augmentation for Few-shot Node Classification. Z Wu, P Zhou, G Wen, Y Wan, J Ma, D Cheng, X Zhu IJCAI, 3601-3607, 2022 | 6 | 2022 |
| A noise-resistant graph neural network by semi-supervised contrastive learning Z Lu, J Ma, Z Wu, B Zhou, X Zhu Information Sciences 658, 120001, 2024 | 5 | 2024 |
| Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. J Gan, X Zhu, R Hu, Y Zhu, J Ma, ZW Peng, G Wu IJCAI, 580-586, 2020 | 5 | 2020 |
| Adaptive cross-stitch graph convolutional networks Z Hu, Z Su, Y Li, J Ma Proceedings of the 3rd ACM International Conference on Multimedia in Asia, 1-7, 2021 | 4 | 2021 |
| Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels Y Liu, Z Wu, Z Lu, G Wen, J Ma, G Lu, X Zhu Proceedings of the 31st ACM International Conference on Multimedia, 2946-2954, 2023 | 3 | 2023 |
| Totally dynamic hypergraph neural network P Zhou, Z Wu, X Zeng, G Wen, J Ma, X Zhu Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 1 | 2023 |
| 3D nucleus instance segmentation for whole-brain microscopy images J Ma, O Krupa, MR Glass, CM McCormick, D Borland, M Kim, JL Stein, ... Information Processing in Medical Imaging: 27th International Conference …, 2021 | 1 | 2021 |
