Introduction
I am a lecturer in the College of Information Science and Technology, Beijing University of Chemical Technology (BUCT), Beijing. And, I am currently working as a postdoctoral researcher, supervised by Prof.Youqing Wang.
Research
Machine Learning and Pattern Recognition Multi-view/Multi-modal Representation Learning and Clustering Graph Representation Learning and Its Applications Industrial Big Data Analysis and Fault Diagnosis
Teaching
Syllabus for College Computer, Beijing University of Chemical Technology, Autumn, (for undergraduate students). Computing Methods, Beijing University of Chemical Technology, Spring, (for undergraduate students). Discrete Mathematics, Beijing University of Chemical Technology, Autumn, (for undergraduate students).
Publications
[2024] Jipeng Guo, Tengxiao Yin, Tianxiang Zhao, Jiayi Zhao, Yanfeng Sun, Junbin Gao, and Youqing Wang*. “Improved attributed graph clustering with representation and structure augmentation,” In Proceedings of International Joint Conference on Neural Networks (IJCNN), 2024. (CCF-C) Yachao Yang, Yanfeng Sun*, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, and Baocai Yin. “Graph Neural Networks with Soft Association between Topology and Attribute,” In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, 9260-9268. (Oral, CCF-A) Yachao Yang, Jipeng Guo, Yanfeng Sun*, Shaofan Wang, Junbin Gao, and Baocai Yin. “Mlulti-graph Fusion and Virtual Node Enhanced Graph Neural Networks,” In Proceedings of 33rd International Conference on Artificial Neural Networks (ICANN), 2024. (CCF-C) Qi Zhang, Yanfeng Sun*, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, and Baocai Yin. “AUTOFGNN: A Framework for Extracting All Frequency Information from Large-scale Graphs,” In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024. (CCF-B) Jiahao Long, Youqing Wang*, Jipeng Guo, Shilong Xu, and Li Liang. “Topological-Semantic Structure and Attribute Representations Decoupling Learning for Improved Graph Neural Networks,” In Proceedings of Chinese Automation Congress (CAC), 2024. (Accepted) Bin Xiao, Jipeng Guo, Juntao Hu, Yifan Dong, and Youqing Wang*. “Comprehensive Multi-view Subspace Clustering with Global-and-Local Representation Learning,” In Proceedings of The 17th Annual International Conference on Combinatorial Optimization and Applications (COCOA), 2024. (Accepted)
[2023] Jipeng Guo, Yanfeng Sun*, Junbin Gao, Yongli Hu, and Baocai Yin. “Logarithmic Schatten-p Norm Minimization for Tensorial Multi-view Subspace Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 45(3): 3396-3410. Jipeng Guo, Yanfeng Sun*, Junbin Gao, Yongli Hu, and Baocai Yin. “Robust discriminant analysis with feature selective projection and between-classes structural incoherence,” Digital Signal Processing, 2023, 134: 103896.
[2022] Jipeng Guo, Yanfeng Sun*, Junbin Gao, Yongli Hu, and Baocai Yin. “Multi-attribute Subspace Clustering via Auto-weighted Tensor Nuclear Norm Minimization,” IEEE Transactions on Image Processing (TIP), 2022, 31: 7191-7205. Jipeng Guo, Yanfeng Sun*, Junbin Gao, Yongli Hu, and Baocai Yin. “Rank Consistency Induced Multi-view Subspace Clustering via Low-rank Matrix Factorization,” IEEE Transactions on Neural Networks and Learning System (TNNLS), 2022, 33(7): 3157-3170. Jiyi Zhao#, Jipeng Guo#, Yanfeng Sun*, Junbin Gao, Yongli Hu, and Baocai Yin. “Adaptive Graph Convolutional Clustering Network with Optimal Probabilistic Graph,” Neural Networks (NN), 2022, 156: 271-284. (#共同一作) Yanfeng Sun*, Jie Wang, Jipeng Guo, Yongli Hu, and Baocai Yin. “Globality constrained adaptive graph regularized non‐negative matrix factorization for data representation,” IET Image Processing, 2022, 16(10): 2577-2592. Jiayi Zhao, Yanfeng Sun*, Jipeng Guo, Junbin Gao, and Baocai Yin. “Robust graph convolutional clustering with adaptive graph learning,” In Proceedings of International Joint Conference on Neural Networks (IJCNN), 2022, 1-8. (CCF-C)
[Before 2021] Jipeng Guo, Yanfeng Sun*, Junbin Gao, Yongli Hu, and Baocai Yin. “Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint,” ACM Transactions on Knowledge Discovery from Data (TKDD), 2020, 14(6): 75. Jipeng Guo, Yanfeng Sun*, Junbin Gao, Yongli Hu, and Baocai Yin. “Low-rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering,” In Proceedings of International Conference on Pattern Recognition (ICPR), 2021, 907-914. (CCF-C) Jipeng Guo, Shuai Yin, Yanfeng Sun*, and Yongli Hu. “Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation,” In Proceedings of International Conference on Pattern Recognition (ICPR), 2021, 901-906. (CCF-C) Jie Wang, Yanfeng Sun*, Jipeng Guo, Yongli Hu, and Baocai Yin. “Attributed Non-negative Matrix Multi-factorization for Data Representation,” In Proceedings of Pattern Recognition and Computer Vision: 4th Chinese Conference (PRCV), 2021, 66-77. (CCF-C)
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