Hejie Cui

According to our database, Hejie Cui authored at least 38 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Biomedical Visual Instruction Tuning with Clinician Preference Alignment.

Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang

CoRR, 2024

LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction.

Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang

CoRR, 2024

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.

Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang

CoRR, 2024

Microstructures and Accuracy of Graph Recall by Large Language Models.

Yanbang Wang, Hejie Cui, Jon M. Kleinberg

CoRR, 2024

TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data.

Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

IEEE Trans. Medical Imaging, February, 2023

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang

CoRR, 2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.

Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce C. Ho, Fei Wang, Carl Yang

CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.

Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao

CoRR, 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.

Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

R-Mixup: Riemannian Mixup for Biological Networks.

Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis.

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis.

Yi Yang, Hejie Cui, Carl Yang

Proceedings of the Conference on Health, Inference, and Learning, 2023

Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis.

Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction.

Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Neighborhood-Regularized Self-Training for Learning with Few Labels.

Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

CoRR, 2022

Structure-Enhanced Heterogeneous Graph Contrastive Learning.

Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Brain Network Transformer.

Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation.

Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning.

Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.

Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation.

Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang

Proceedings of the Advances in Information Retrieval, 2022

On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs.

Hejie Cui, Zijie Lu, Pan Li, Carl Yang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract).

Yi Yang, Hejie Cui, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract).

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

Multi-View Brain Network Analysis with Cross-View Missing Network Generation.

Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning.

Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

CoRR, 2021

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation.

Xuan Kan, Hejie Cui, Ying Guo, Carl Yang

CoRR, 2021

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang

CoRR, 2021

Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration.

Xuan Kan, Hejie Cui, Carl Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2019

Pulmonary Vessel Segmentation Based on Orthogonal Fused U-Net++ of Chest CT Images.

Hejie Cui, Xinglong Liu, Ning Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

A Method to Predict the Performance and Storage of Executing Contract for Ethereum Consortium-Blockchain.

Huijuan Zhang, Chengxin Jin, Hejie Cui

Proceedings of the Blockchain - ICBC 2018, 2018