Yunhe Zhang

Orcid: 0000-0002-8080-3828

Affiliations:
  • University of Macau, Faculty of Science and Technology, Taipa, Macau
  • Fuzhou University, College of Mathematics and Computer Science, Fuzhou, China


According to our database1, Yunhe Zhang authored at least 18 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Towards Adaptive Masked Structural Learning for Graph-Level Clustering.
IEEE Trans. Netw. Sci. Eng., 2025

Mixture of Experts as Representation Learner for Deep Multi-View Clustering.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Wasserstein Embedding Learning for Deep Clustering: A Generative Approach.
IEEE Trans. Multim., 2024

FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework.
CoRR, 2024

Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LG-FGAD: An Effective Federated Graph Anomaly Detection Framework.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Orthogonal Hypersphere Compression for Anomaly Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Multiview Deep Matrix Factorization for Shared Compact Representation.
IEEE Trans. Comput. Soc. Syst., October, 2023

Learning matrix factorization with scalable distance metric and regularizer.
Neural Networks, April, 2023

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering.
IEEE Trans. Multim., 2023

Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss.
IEEE Trans. Multim., 2023

Self-Discriminative Modeling for Anomalous Graph Detection.
CoRR, 2023

Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection.
CoRR, 2023

2022
Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Efficient Deep Embedded Subspace Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Unsupervised feature selection via transformed auto-encoder.
Knowl. Based Syst., 2021

Enhanced Multi-view Matrix Factorization with Shared Representation.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021


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