Pei Zhang

Orcid: 0000-0002-3018-5080

Affiliations:
  • National University of Defense Technology, School of Computer, Changsha, China


According to our database1, Pei Zhang authored at least 19 papers between 2020 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
One-Step Late Fusion Multi-view Clustering with Compressed Subspace.
CoRR, 2024

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent.
CoRR, 2023

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Consensus One-step Multi-view Subspace Clustering (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Projective Multiple Kernel Subspace Clustering.
IEEE Trans. Multim., 2022

Consensus One-Step Multi-View Subspace Clustering.
IEEE Trans. Knowl. Data Eng., 2022

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance.
IEEE Trans. Image Process., 2022

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Improved autoencoder for unsupervised anomaly detection.
Int. J. Intell. Syst., 2021

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement.
CoRR, 2021

Unsupervised Outlier Detection via Transformation Invariant Autoencoder.
IEEE Access, 2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Scalable Multi-view Subspace Clustering with Unified Anchors.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Representation Subspace Clustering for Incomplete Multi-view Data.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering.
Sensors, 2020


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