Jipeng Guo

Orcid: 0000-0001-8815-2559

Affiliations:
  • Beijing University of Technology, Faculty of Information Technology, China


According to our database1, Jipeng Guo authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations.
CoRR, 2024

Graph Neural Networks with Soft Association between Topology and Attribute.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Robust discriminant analysis with feature selective projection and between-classes structural incoherence.
Digit. Signal Process., April, 2023

Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

2022
Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization.
IEEE Trans. Image Process., 2022

Adaptive graph convolutional clustering network with optimal probabilistic graph.
Neural Networks, 2022

Globality constrained adaptive graph regularized non-negative matrix factorization for data representation.
IET Image Process., 2022

Robust Graph Convolutional Clustering With Adaptive Graph Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Attributed Non-negative Matrix Multi-factorization for Data Representation.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint.
ACM Trans. Knowl. Discov. Data, 2020

Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Multi-View Subspace Clustering With Block Diagonal Representation.
IEEE Access, 2019


  Loading...