Hejie Cui
Hejie Cui
PhD Candidate in Computer Science, Emory University
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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
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
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
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
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
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
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
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
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
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
Brain network transformer
X Kan, W Dai, H Cui, Z Zhang, Y Guo, C Yang
Advances in Neural Information Processing Systems, 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
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
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
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
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
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