Hejie Cui | DeepAI

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∙ 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...

34 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. ∙