Hejie Cui

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 56

Top Topics

Extended Abstract

Hierarchical Clustering

Functional Brain

Top Venues

Publications

Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR (2024)
Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. CoRR (2024)
Hejie Cui, Zhuocheng Shen, Jieyu Zhang, Hui Shao, Lianhui Qin, Joyce C. Ho, Carl Yang
LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. CoRR (2024)
Ziyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data. KDD (2024)
Yanbang Wang, Hejie Cui, Jon M. Kleinberg
Microstructures and Accuracy of Graph Recall by Large Language Models. CoRR (2024)
Hejie Cui, Xinyu Fang, Ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM. CoRR (2024)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce Ho, Carl Yang
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) (2024)
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
Neighborhood-Regularized Self-Training for Learning with Few Labels. CoRR (2023)
Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR (2023)
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang
Transformer-Based Hierarchical Clustering for Brain Network Analysis. CoRR (2023)
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
R-Mixup: Riemannian Mixup for Biological Networks. CoRR (2023)
Yi Yang, Hejie Cui, Carl Yang
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CHIL (2023)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. CoRR (2023)
Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) (2023)
Yi Yang, Hejie Cui, Carl Yang
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CoRR (2023)
Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl J. Yang
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. NeurIPS (2023)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging 42 (2) (2023)
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
Neighborhood-Regularized Self-Training for Learning with Few Labels. AAAI (2023)
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang
Transformer-Based Hierarchical Clustering for Brain Network Analysis. ISBI (2023)
Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. CoRR (2023)
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
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR (2023)
Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl J. Yang
Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. BHI (2023)
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
A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. CoRR (2023)
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
R-Mixup: Riemannian Mixup for Biological Networks. KDD (2023)
Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang
Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis. CoRR (2023)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI (2023)
Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. MIDL (2022)
Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. CoRR (2022)
Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). Big Data (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). Big Data (2022)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). Big Data (2022)
Hejie Cui, Zijie Lu, Pan Li, Carl Yang
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CIKM (2022)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR (2022)
Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
Brain Network Transformer. NeurIPS (2022)
Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. ECIR (2) (2022)
Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. KDD (2022)
Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. EMBC (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. MICCAI (8) (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR (2022)
Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. CoRR (2022)
Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang
Multi-View Brain Network Analysis with Cross-View Missing Network Generation. BIBM (2022)
Yi Yang, Hejie Cui, Carl Yang
Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract). Big Data (2022)
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM (2022)
Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
Brain Network Transformer. CoRR (2022)
Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. CoRR (2022)
Hejie Cui, Xinglong Liu, Ning Huang
Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images. CoRR (2021)
Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. CoRR (2021)
Hejie Cui, Zijie Lu, Pan Li, Carl Yang
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CoRR (2021)
Xuan Kan, Hejie Cui, Carl Yang
Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration. ECML/PKDD (2) (2021)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. CoRR (2021)
Xuan Kan, Hejie Cui, Ying Guo, Carl Yang
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. CoRR (2021)
Xuan Kan, Hejie Cui, Carl Yang
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration. CoRR (2021)
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR (2021)
Hejie Cui, Xinglong Liu, Ning Huang
Pulmonary Vessel Segmentation Based on Orthogonal Fused U-Net++ of Chest CT Images. MICCAI (6) (2019)
Huijuan Zhang, Chengxin Jin, Hejie Cui
A Method to Predict the Performance and Storage of Executing Contract for Ethereum Consortium-Blockchain. ICBC (2018)