| Pulmonary vessel segmentation based on orthogonal fused u-net++ of chest CT images H Cui, X Liu, N Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 28 | 2019 |
| Interpretable graph neural networks for connectome-based brain disorder analysis H Cui, W Dai, Y Zhu, X Li, L He, C Yang Proceedings of the 25th International Conference on Medical Image Computing …, 2022 | 24* | 2022 |
| On positional and structural node features for graph neural networks on non-attributed graphs H Cui, Z Lu, P Li, C Yang Proceedings of the 31st ACM International Conference on Information …, 2022 | 21 | 2022 |
| A method to predict the performance and storage of executing contract for ethereum consortium-blockchain H Zhang, C Jin, H Cui Blockchain–ICBC 2018: First International Conference, Held as Part of the …, 2018 | 20 | 2018 |
| Fbnetgen: Task-aware gnn-based fmri analysis via functional brain network generation X Kan, H Cui, J Lukemire, Y Guo, C Yang International Conference on Medical Imaging with Deep Learning, 2022 | 12 | 2022 |
| Structure-Enhanced Heterogeneous Graph Contrastive Learning Y Zhu, Y Xu, H Cui, C Yang, Q Liu, S Wu Proceedings of the 2022 SIAM International Conference on Data Mining, 2022 | 9* | 2022 |
| BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks H Cui, W Dai, Y Zhu, X Kan, AAC Gu, J Lukemire, L Zhan, L He, Y Guo, ... IEEE Transactions on Medical Imaging, 2022 | 7 | 2022 |
| 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 | 7 | 2022 |
| Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis Y Zhu, H Cui, L He, L Sun, C Yang Proceedings of the 44th Annual International Conference of the IEEE …, 2021 | 7 | 2021 |
| Zero-shot scene graph relation prediction through commonsense knowledge integration X Kan, H Cui, C Yang Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 7 | 2021 |
| Brain network transformer X Kan, W Dai, H Cui, Z Zhang, Y Guo, C Yang Advances in Neural Information Processing Systems, 2022 | 6 | 2022 |
| How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation H Cui, J Lu, Y Ge, C Yang Proceedings of the 2022 European Conference on Information Retrieval, 2022 | 2 | 2022 |
| Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks Y Yu, X Kan, H Cui, R Xu, Y Zheng, X Song, Y Zhu, K Zhang, R Nabi, ... arXiv preprint arXiv:2211.00261, 2022 | 1 | 2022 |
| Neighborhood-Regularized Self-Training for Learning with Few Labels R Xu, Y Yu, H Cui, X Kan, Y Zhu, J Ho, C Zhang, C Yang Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023 | | 2023 |
| Multi-View Brain Network Analysis with Cross-View Missing Network Generation G Luo, C Li, H Cui, L Sun, L He, C Yang 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |
| Transformer-Based Hierarchical Clustering for Brain Network Analysis W Dai, H Cui, X Kan, Y Guo, S van Rooij, C Yang | | |
| Pre-train Graph Neural Networks for Brain Network Analysis Y Yang, H Cui, C Yang | | |
Carl J. YangAssistant Professor of Computer Science at Emory UniversityAdresse e-mail validée de emory.edu
