Guangqi Wen - RankMe

26 papers A 1Misc 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrainOSM: Outlier screening for multi-view functional brain network analysis. Comput. Methods Programs Biomed. Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis. CoRR Xiaolong Li, Guiliang Guo, Guangqi Wen, Peng Cao, Jinzhu Yang, Honglin Wu, Xiaoli Liu, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling. CoRR Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Fei Wang, Xiaoli Liu, Osmar R. Zaïane
2026	J	`jnl`	CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification. Eng. Appl. Artif. Intell. Ruoxian Song, Peng Cao, Guangqi Wen, Lanting Li, Wei Liang, Weiping Li, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning. CoRR Siyu Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Xiaoli Liu, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis. CoRR Jingfeng Tang, Peng Cao, Guangqi Wen, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2025	J	`jnl`	Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. Guangqi Wen, Xin Gao, Wenhui Tan, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2025	J	`jnl`	Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis. IEEE Trans. Medical Imaging Guangqi Wen, Peng Cao, Lingwen Liu, Maochun Hao, Siyu Liu, Junjie Zheng, Jinzhu Yang, Osmar R. Zaïane, Fei Wang
2025	—	`conf`	Structure-Aware Self-supervised Graph Representation Learning. DASFAA (3) Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2024	J	`jnl`	BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis. Medical Image Anal. Ruoxian Song, Peng Cao, Guangqi Wen, Pengfei Zhao, Ziheng Huang, Xizhe Zhang, Jinzhu Yang, Osmar R. Zaïane
2024	A	`conf`	Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. WSDM Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2024	Misc	`conf`	Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. ICASSP Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
2023	J	`jnl`	A unified framework of graph structure learning, graph generation and classification for brain network analysis. Appl. Intell. Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	BrainTGL: A dynamic graph representation learning model for brain network analysis. Comput. Biol. Medicine Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaïane
2023	—	`conf`	BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. MICCAI (8) Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
2023	J	`jnl`	Exploring attention mechanism for graph similarity learning. Knowl. Based Syst. Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2023	J	`jnl`	Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang
2023	J	`jnl`	Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Informatics Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane
2023	J	`jnl`	MS-SSD: multi-scale single shot detector for ship detection in remote sensing images. Appl. Intell. Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar R. Zaïane
2023	—	`conf`	Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. ADMA (4) Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	Collaborative learning of graph generation, clustering and classification for brain networks diagnosis. Comput. Methods Programs Biomed. Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2022	—	`conf`	DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation. ICMLSC Wenhui Tan, Peng Cao, Zhiyong Jin, Futao Luo, Guangqi Wen, Weiping Li
2022	J	`jnl`	MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis. Comput. Biol. Medicine Guangqi Wen, Peng Cao, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar Zaïane
2022	J	`jnl`	Modeling the dynamic brain network representation for autism spectrum disorder diagnosis. Medical Biol. Eng. Comput. Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, Mingyi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2021	—	`conf`	Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane