| Data-efficient brain connectome analysis via multi-task meta-learning Y Yang, Y Zhu, H Cui, X Kan, L He, Y Guo, C Yang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 26 | 2022 |
| PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Y Yang, H Cui, C Yang Proceedings of the Conference on Health, Inference, and Learning 209, 526--544, 2023 | 7 | 2023 |
| Pre-train graph neural networks for brain network analysis Y Yang, H Cui, C Yang 2022 IEEE International Conference on Big Data (Big Data), 4993-4994, 2022 | 6 | 2022 |
| BrainSTEAM: A Practical Pipeline for Connectome-based fMRI Analysis towards Subject Classification A Li, Y Yang, H Cui, C Yang PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 53-64, 2023 | 1 | 2023 |
| FedBrain: Federated Training of Graph Neural Networks for Connectome-based Brain Imaging Analysis Y Yang, H Xie, H Cui, C Yang PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 214-225, 2023 | 1 | 2023 |
| BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations K Han, Y Yang, Z Huang, X Kan, Y Yang, Y Guo, L He, L Zhan, Y Sun, ... arXiv preprint arXiv:2405.00077, 2024 | | 2024 |
| Federated learning for cross-institution brain network analysis H Xie, Y Yang, H Cui, C Yang Medical Imaging 2024: Computer-Aided Diagnosis 12927, 106-119, 2024 | | 2024 |
