Guangqi Wen

According to our database, Guangqi Wen authored at least 26 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning.

Siyu Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Xiaoli Liu, Fei Wang, Osmar R. Zaïane

CoRR, March, 2026

BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis.

Xiaolong Li, Guiliang Guo, Guangqi Wen, Peng Cao, Jinzhu Yang, Honglin Wu, Xiaoli Liu, Fei Wang, Osmar R. Zaïane

CoRR, March, 2026

BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling.

Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Fei Wang, Xiaoli Liu, Osmar R. Zaïane

CoRR, March, 2026

Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis.

Jingfeng Tang, Peng Cao, Guangqi Wen, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane

CoRR, March, 2026

CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification.

Ruoxian Song, Peng Cao, Guangqi Wen, Lanting Li, Wei Liang, Weiping Li, Jinzhu Yang, Osmar R. Zaïane

Eng. Appl. Artif. Intell., 2026

BrainOSM: Outlier screening for multi-view functional brain network analysis.

Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Osmar R. Zaïane

Comput. Methods Programs Biomed., 2026

2025

Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity Learning.

Guangqi Wen, Xin Gao, Wenhui Tan, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis.

Guangqi Wen, Peng Cao, Lingwen Liu, Maochun Hao, Siyu Liu, Junjie Zheng, Jinzhu Yang, Osmar R. Zaïane, Fei Wang

IEEE Trans. Medical Imaging, March, 2025

Structure-Aware Self-supervised Graph Representation Learning.

Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaïane

Proceedings of the Database Systems for Advanced Applications, 2025

2024

BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis.

Ruoxian Song, Peng Cao, Guangqi Wen, Pengfei Zhao, Ziheng Huang, Xizhe Zhang, Jinzhu Yang, Osmar R. Zaïane

Medical Image Anal., 2024

Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning.

Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis.

Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Graph Self-Supervised Learning With Application to Brain Networks Analysis.

Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane

IEEE J. Biomed. Health Informatics, August, 2023

Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis.

Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang

Int. J. Comput. Assist. Radiol. Surg., April, 2023

A unified framework of graph structure learning, graph generation and classification for brain network analysis.

Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

Appl. Intell., March, 2023

BrainTGL: A dynamic graph representation learning model for brain network analysis.

Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaïane

Comput. Biol. Medicine, February, 2023

Exploring attention mechanism for graph similarity learning.

Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane

Knowl. Based Syst., 2023

MS-SSD: multi-scale single shot detector for ship detection in remote sensing images.

Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar R. Zaïane

Appl. Intell., 2023

BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis.

Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning.

Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.

Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, MingYi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

Neuroinformatics, 2022

Modeling the dynamic brain network representation for autism spectrum disorder diagnosis.

Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

Medical Biol. Eng. Comput., 2022

Collaborative learning of graph generation, clustering and classification for brain networks diagnosis.

Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane

Comput. Methods Programs Biomed., 2022

MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis.

Guangqi Wen, Peng Cao, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar Zaïane

Comput. Biol. Medicine, 2022

DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation.

Wenhui Tan, Peng Cao, Zhiyong Jin, Futao Luo, Guangqi Wen, Weiping Li

Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022

2021

Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks.

Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021