| 2025 | IJCNN | Decouple then Fusion: Flexible Graph Representation Learning with Cross-Frequency Diversity. | Shuchang Guo, Wenxuan Chen, Junbin Gao, Shilong Xu, Yuhan Li, Mingjia Liu, Jipeng Guo, Youqing Wang |
| 2024 | AAAI | Graph Neural Networks with Soft Association between Topology and Attribute. | Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin |
| 2024 | COCOA | Comprehensive Multi-view Subspace Clustering with Global-and-Local Representation Learning. | Bin Xiao, Jipeng Guo, Juntao Hu, Yifan Dong, Youqing Wang |
| 2024 | ICANN | Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks. | Yachao Yang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Baocai Yin |
| 2024 | ICASSP | AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. | Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin |
| 2024 | IJCNN | Improved Attributed Graph Clustering with Representation and Structure Augmentation. | Jipeng Guo, Tengxiao Yin, Tianxiang Zhao, Jiayi Zhao, Yanfeng Sun, Junbin Gao, Youqing Wang |
| 2022 | IJCNN | Robust Graph Convolutional Clustering With Adaptive Graph Learning. | Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin |
| 2020 | ICPR | Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. | Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin |
| 2020 | ICPR | Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation. | Jipeng Guo, Shuai Yin, Yanfeng Sun, Yongli Hu |