Dr. Jipeng Guo

Lecturer

Editor：College of Information Science and Technology Time：2024-11-07

Dr. Jipeng Guo


Lecturer

Email: guojipeng@buct.edu.cn

Github：https://jipengguo95.github.io/


Background                                                                  

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.

Areas of Research of Expertise

  1.  Machine Learning and Pattern Recognition

  2.  Multi-view/Multi-modal Representation Learning and Clustering

  3.  Graph Representation Learning and Its Applications

  4.  Industrial Big Data Analysis and Fault Diagnosis

Teaching                                             

  1. Syllabus for College Computer, Beijing University of Chemical Technology, Autumn, (for undergraduate students).

  2. Computing Methods, Beijing University of Chemical Technology, Spring, (for undergraduate students).

  3. Discrete Mathematics, Beijing University of Chemical Technology, Autumn, (for undergraduate students).

Five Representative Publications                                           

  1. Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Logarithmic Schatten-p Norm Minimization for Tensorial Multi-view Subspace Clustering [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(3): 3396-3410.  (SCI, 中科院一区, CCF-A, IF=24.314)

  2. Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Multi-attribute Subspace Clustering via Auto-weighted Tensor Nuclear Norm Minimization [J]. IEEE Transactions on Image Processing, 2022, 31: 7191-7205.  (SCI, 中科院一区, CCF-A, IF=11.041)

  3. Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Rank Consistency Induced Multi-view Subspace Clustering via Low-rank Matrix Factorization [J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(7): 3157-3170. (SCI,中科院一区, CCF-B, IF=14.255)  

  4. Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint [J]. ACM Transactions on Knowledge Discovery from Data, 2020, 14(6): 75, 1-20 . (SCI,中科院三区，CCF-B, IF=4.157)

  5.  Jiayi Zhao#, Jipeng Guo#, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin. Adaptive Graph Convolutional Clustering Network with Optimal Probabilistic Graph [J]. Neural Networks, 2022, 156: 271-284. (#共同一作, SCI,中科院一区, CCF-B, IF: 9.657)

  6.  Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin . Graph Neural Networks with Soft Association between Topology and Attribute [C]. The Thirty-eighth AAAI Conference on Artificial Intelligence, 2024. (AAAI, CCF-A, Oral)

  7.  Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin .  AUTOFGNN: A Framework for Extracting All Frequency Information from Large-scale Graphs [C]. International Conference on Acoustics, Speech, and Signal Processing, 2024. (ICASSP, CCF-B)