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Hejie Cui
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2020 – today
- 2024
- [c26]Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang:
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) 2024: 15496-15523 - [c25]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: 6324-6334 - [i29]Yanbang Wang, Hejie Cui, Jon M. Kleinberg:
Microstructures and Accuracy of Graph Recall by Large Language Models. CoRR abs/2402.11821 (2024) - [i28]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 abs/2403.08818 (2024) - [i27]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 abs/2403.15464 (2024) - [i26]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 abs/2406.10061 (2024) - [i25]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 abs/2406.13173 (2024) - 2023
- [j1]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): 493-506 (2023) - [c24]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: 10611-10619 - [c23]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: 2026-2041 - [c22]Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang:
Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. BHI 2023: 1-4 - [c21]Yi Yang, Hejie Cui, Carl Yang:
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CHIL 2023: 526-544 - [c20]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis. ISBI 2023: 1-5 - [c19]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: 1-5 - [c18]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: 1073-1085 - [c17]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. NeurIPS 2023 - [i24]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 abs/2301.03726 (2023) - [i23]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis. CoRR abs/2305.04142 (2023) - [i22]Yi Yang, Hejie Cui, Carl Yang:
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CoRR abs/2305.14376 (2023) - [i21]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 abs/2305.18703 (2023) - [i20]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR abs/2306.01016 (2023) - [i19]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 abs/2306.02532 (2023) - [i18]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 abs/2306.04802 (2023) - [i17]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 abs/2309.01941 (2023) - [i16]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 abs/2310.18804 (2023) - [i15]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 abs/2311.00287 (2023) - 2022
- [c16]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: 108-115 - [c15]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). IEEE Big Data 2022: 4968-4969 - [c14]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). IEEE Big Data 2022: 4970-4971 - [c13]Yi Yang, Hejie Cui, Carl Yang:
Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract). IEEE Big Data 2022: 4993-4994 - [c12]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). IEEE Big Data 2022: 4995-4996 - [c11]Hejie Cui, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CIKM 2022: 3898-3902 - [c10]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: 75-83 - [c9]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: 272-276 - [c8]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: 4743-4751 - [c7]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: 375-385 - [c6]Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang:
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. MIDL 2022: 618-637 - [c5]Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang:
Brain Network Transformer. NeurIPS 2022 - [c4]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM 2022: 82-90 - [i14]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 abs/2201.04672 (2022) - [i13]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 abs/2204.07054 (2022) - [i12]Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang:
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. CoRR abs/2205.12465 (2022) - [i11]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 abs/2206.04486 (2022) - [i10]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR abs/2207.00813 (2022) - [i9]Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang:
Brain Network Transformer. CoRR abs/2210.06681 (2022) - [i8]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 abs/2211.00261 (2022) - 2021
- [c3]Xuan Kan, Hejie Cui, Carl Yang:
Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration. ECML/PKDD (2) 2021: 466-482 - [i7]Hejie Cui, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CoRR abs/2107.01495 (2021) - [i6]Hejie Cui, Xinglong Liu, Ning Huang:
Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images. CoRR abs/2107.01502 (2021) - [i5]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 abs/2107.03220 (2021) - [i4]Xuan Kan, Hejie Cui, Carl Yang:
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration. CoRR abs/2107.05080 (2021) - [i3]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 abs/2107.05097 (2021) - [i2]Xuan Kan, Hejie Cui, Ying Guo, Carl Yang:
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. CoRR abs/2107.11247 (2021) - [i1]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR abs/2108.13886 (2021)
2010 – 2019
- 2019
- [c2]Hejie Cui, Xinglong Liu, Ning Huang:
Pulmonary Vessel Segmentation Based on Orthogonal Fused U-Net++ of Chest CT Images. MICCAI (6) 2019: 293-300 - 2018
- [c1]Huijuan Zhang, Chengxin Jin, Hejie Cui:
A Method to Predict the Performance and Storage of Executing Contract for Ethereum Consortium-Blockchain. ICBC 2018: 63-74
Coauthor Index
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last updated on 2024-10-24 20:30 CEST by the dblp team
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