Hejie Cui | DeepAI

AI Chat

Featured Co-authors

Yi Yang
329 publications
Chao Zhang
239 publications
Fei Wang
209 publications
Qiang Liu
190 publications
Liang Zhao
139 publications
Quanquan Gu
124 publications
Haoyu Wang
104 publications
Yue Yu
98 publications
Pan Li
78 publications
Xiaoxiao Li
78 publications
Lichao Sun
67 publications

∙ 09/05/2023

Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis

Recent neuroimaging studies have highlighted the importance of network-c...

0 Xuan Kan, et al. ∙

∙ 06/07/2023

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

Healthcare knowledge graphs (HKGs) have emerged as a promising tool for ...

9 Hejie Cui, et al. ∙

∙ 06/05/2023

R-Mixup: Riemannian Mixup for Biological Networks

Biological networks are commonly used in biomedical and healthcare domai...

6 Xuan Kan, et al. ∙

∙ 06/01/2023

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction

Information extraction, e.g., attribute value extraction, has been exten...

4 Hejie Cui, et al. ∙

∙ 05/30/2023

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

Large language models (LLMs) have significantly advanced the field of na...

1 Chen Ling, et al. ∙

∙ 05/06/2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis

Brain networks, graphical models such as those constructed from MRI, hav...

35 Wei Dai, et al. ∙

∙ 01/10/2023

Neighborhood-Regularized Self-Training for Learning with Few Labels

Training deep neural networks (DNNs) with limited supervision has been a...

12 Ran Xu, et al. ∙

∙ 10/13/2022

Brain Network Transformer

Human brains are commonly modeled as networks of Regions of Interest (RO...

15 Xuan Kan, et al. ∙

∙ 06/30/2022

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Human brains lie at the core of complex neurobiological systems, where t...

13 Hejie Cui, et al. ∙

∙ 06/09/2022

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

Brain networks characterize complex connectivities among brain regions a...

13 Yi Yang, et al. ∙

∙ 05/25/2022

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

Functional magnetic resonance imaging (fMRI) is one of the most common i...

17 Xuan Kan, et al. ∙

∙ 03/17/2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

Mapping the connectome of the human brain using structural or functional...

0 Hejie Cui, et al. ∙

∙ 01/12/2022

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

Graph neural networks (GNNs), as a group of powerful tools for represent...

16 Hejie Cui, et al. ∙

∙ 08/31/2021

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning

Recently, heterogeneous Graph Neural Networks (GNNs) have become a de fa...

5 Yanqiao Zhu, et al. ∙

∙ 07/23/2021

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation

Recent studies in neuroscience show great potential of functional brain ...

0 Xuan Kan, et al. ∙

∙ 07/11/2021

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

Interpretable brain network models for disease prediction are of great v...

25 Hejie Cui, et al. ∙

∙ 07/11/2021

Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration

Relation prediction among entities in images is an important step in sce...

0 Xuan Kan, et al. ∙

∙ 07/07/2021

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

Multimodal brain networks characterize complex connectivities among diff...

10 Yanqiao Zhu, et al. ∙

∙ 07/03/2021

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

Pulmonary vessel segmentation is important for clinical diagnosis of pul...

0 Hejie Cui, et al. ∙

∙ 07/03/2021

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

Graph neural networks (GNNs) have been widely used in various graph-rela...

0 Hejie Cui, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world