Hejie Cui

Hejie Cui

Emory & Henry College

H-index: 13

North America-United States

About Hejie Cui

Hejie Cui, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Emory & Henry College, specializes in the field of Machine Learning, Multimodal, Health Informatics, Network Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Federated learning for cross-institution brain network analysis

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

Multimodal fusion of ehr in structures and semantics: Integrating clinical records and notes with hypergraph and llm

Microstructures and Accuracy of Graph Recall by Large Language Models

R-Mixup: Riemannian Mixup for Biological Networks

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

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction

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

Hejie Cui Information

University

Position

PhD Student in Computer Science

Citations(all)

538

Citations(since 2020)

538

Cited By

15

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Hejie Cui Skills & Research Interests

Machine Learning

Multimodal

Health Informatics

Network Science

Top articles of Hejie Cui

Federated learning for cross-institution brain network analysis

2024/4/3

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

arXiv preprint arXiv:2403.15464

2024/3/19

Multimodal fusion of ehr in structures and semantics: Integrating clinical records and notes with hypergraph and llm

arXiv preprint arXiv:2403.08818

2024/2/19

Microstructures and Accuracy of Graph Recall by Large Language Models

arXiv preprint arXiv:2402.11821

2024/2/19

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction

arXiv preprint arXiv:2306.01016

2023/6/1

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

arXiv preprint arXiv:2305.14376

2023/5/20

Transformer-based hierarchical clustering for brain network analysis

2023/4/18

Neighborhood-Regularized Self-Training for Learning with Few Labels

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

BrainSTEAM: A Practical Pipeline for Connectome-based fMRI Analysis towards Subject Classification

2023

FedBrain: Federated Training of Graph Neural Networks for Connectome-based Brain Imaging Analysis

2023

Knowledge-Infused Prompting Improves Clinical Text Generation with Large Language Models

2023/11/30

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting

Advances in Neural Information Processing Systems

2024/2/13

Dynamic brain transformer with multi-level attention for functional brain network analysis

2023/10/15

Multi-view brain network analysis with cross-view missing network generation

2022/12/6

On positional and structural node features for graph neural networks on non-attributed graphs

2022/10/17

See List of Professors in Hejie Cui University(Emory & Henry College)

Co-Authors

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