Hejie Cui
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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 íK, 2022
Domain specialization as the key to make large language models disruptive: A comprehensive survey
C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ...
arXiv preprint arXiv:2305.18703 2305, 2023
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
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 íK, 2022
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
Brain network transformer
X Kan, W Dai, H Cui, Z Zhang, Y Guo, C Yang
Advances in Neural Information Processing Systems, 2022
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 InterventioníVMICCAI 2019: 22nd íK, 2019
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
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 íK, 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 íK, 2021
A method to predict the performance and storage of executing contract for ethereum consortium-blockchain
H Zhang, C Jin, H Cui
BlockchainíVICBC 2018: First International Conference, Held as Part of the íK, 2018
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 íK, 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
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, ...
IEEE International Symposium on Biomedical Imaging, 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
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
Y Yang, H Cui, C Yang
Conference on Health, Inference, and Learning, 2023
Knowledge-Infused Prompting Improves Clinical Text Generation with Large Language Models
R Xu, H Cui, Y Yu, X Kan, W Shi, Y Zhuang, W Jin, J Ho, C Yang
NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI, 2023
A survey on knowledge graphs for healthcare: Resources, applications, and promises
H Cui, J Lu, S Wang, R Xu, W Ma, S Yu, Y Yu, X Kan, C Ling, J Ho, ...
arXiv preprint arXiv:2306.04802, 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 íK, 2022
Transformer-based hierarchical clustering for brain network analysis
W Dai, H Cui, X Kan, Y Guo, S van Rooij, C Yang
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
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