Jipeng Guo
Orcid: 0000-0001-8815-2559Affiliations:
- Beijing University of Chemical Technology, College of Information Science and Technology, Beijing, China
- Beijing University of Technology, Faculty of Information Technology, Beijing Institute of Artificial Intelligence, Beijing, China (PhD 2023)
According to our database1,
Jipeng Guo authored at least 38 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
ComGRL: Comprehensive Graph Representation Learning From Local to Global Bridged by Mixup.
IEEE Trans. Comput. Soc. Syst., June, 2026
Exact Finite-Sample Variance Decomposition of Subagging: A Spectral Filtering Perspective.
CoRR, April, 2026
Representation Then Augmentation: Wide Graph Clustering Network with Multi-Order Filter Fusion and Double-Level Contrastive Learning.
IEEE CAA J. Autom. Sinica, February, 2026
CoRR, February, 2026
Dual-level noise augmentation for graph clustering with triplet-wise contrastive learning.
Pattern Recognit., 2026
Pattern Recognit., 2026
Neural Networks, 2026
Feature selection and double self-expressive tensor fusion for multi-view subspace clustering.
Inf. Sci., 2026
2025
A Dynamic Process Modeling Method Based on Bipartite Graph and Recursive Monitoring for Catalytic Cracking Unit.
IEEE Trans. Control. Syst. Technol., November, 2025
CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs.
CoRR, October, 2025
DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations.
IEEE Trans. Big Data, August, 2025
Globality Meets Locality: An Anchor Graph Collaborative Learning Framework for Fast Multiview Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., June, 2025
Fast Sparse Dynamic Matrix Estimation Method With Differential Information for Industrial Process Monitoring.
IEEE Trans. Control. Syst. Technol., March, 2025
Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global.
CoRR, January, 2025
FIGNN: Fuzzy Inference-Guided Graph Neural Network for Fault Diagnosis in Industrial Processes.
IEEE Trans. Instrum. Meas., 2025
Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Decouple then Fusion: Flexible Graph Representation Learning with Cross-Frequency Diversity.
Proceedings of the International Joint Conference on Neural Networks, 2025
2024
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs.
CoRR, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Comprehensive Multi-view Subspace Clustering with Global-and-Local Representation Learning.
Proceedings of the Combinatorial Optimization and Applications, 2024
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
Neural Networks, 2022
Globality constrained adaptive graph regularized non-negative matrix factorization for data representation.
IET Image Process., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
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