Peng Zhou

Orcid: 0000-0002-3675-4985

Affiliations:

Anhui University, School of Computer Science and Technology, Hefei, China
Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China (PhD 2017)

According to our database¹, Peng Zhou authored at least 53 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Active Clustering Ensemble With Self-Paced Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Fair Feature Selection: A Causal Perspective.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, August, 2024

Partial Clustering Ensemble.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2024

Multiple kernel clustering with local kernel reconstruction and global heat diffusion.

[BibT_eX]

[DOI]

Inf. Fusion, May, 2024

Clustering Ensemble via Diffusion on Adaptive Multiplex.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

A Node Classification-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., February, 2024

Multi-view Outlier Detection via Graphs Denoising.

[BibT_eX]

[DOI]

Inf. Fusion, January, 2024

Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation.

[BibT_eX]

[DOI]

CoRR, 2024

Clustering ensemble algorithm with high-order consistency learning.

[BibT_eX]

[DOI]

CoRR, 2024

Multiple Kernel Clustering via Local Regression Integration.

[BibT_eX]

[DOI]

CoRR, 2024

Unsupervised feature selection algorithm framework based on neighborhood interval disturbance fusion.

[BibT_eX]

[DOI]

CoRR, 2024

Swin-HAUnet: A Swin-Hierarchical Attention Unet For Enhanced Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

One-Stage Fair Multi-View Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Fast and Scalable Incomplete Multi-View Clustering with Duality Optimal Graph Filtering.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Active Deep Multi-view Clustering.

[BibT_eX]

[DOI]

Helin Zhao

Wei Chen

Peng Zhou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Self-paced Active Learning for Image Clustering.

[BibT_eX]

[DOI]

Helin Zhao

Wei Chen

Peng Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Jointly Learn the Base Clustering and Ensemble for Deep Image Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Higher Order Multiple Graph Filtering for Structured Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

K-Means Clustering Based on Chebyshev Polynomial Graph Filtering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Bi-level ensemble method for unsupervised feature selection.

[BibT_eX]

[DOI]

Peng Zhou

Xia Wang

Liang Du

Inf. Fusion, December, 2023

Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining.

[BibT_eX]

[DOI]

Peng Zhou

Liang Du

Xuejun Li

IEEE Trans. Knowl. Data Eng., October, 2023

A Light Causal Feature Selection Approach to High-Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, June, 2023

Balanced Spectral Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

Learnable Graph Filter for Multi-view Clustering.

[BibT_eX]

[DOI]

Peng Zhou

Liang Du

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Intensifying The Consistency of Pseudo Label Refinement for Unsupervised Domain Adaptation Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Medical Image Super-Resolution via Diagnosis-Guided Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Active deep image clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Clustering ensemble via structured hypergraph learning.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

FRATCF: Feature-Residue Real-Time UAV Tracking Based on Automatic Spatio-Temporal Regularization Correlation Filter.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Self-Paced Clustering Ensemble.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Top-k Feature Selection Framework Using Robust 0-1 Integer Programming.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Tri-level Robust Clustering Ensemble with Multiple Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unsupervised feature selection with adaptive multiple graph learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Unsupervised feature selection for balanced clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Unsupervised Dual Learning for Feature and Instance Selection.

[BibT_eX]

[DOI]

IEEE Access, 2020

Self-paced Consensus Clustering with Bipartite Graph.

[BibT_eX]

[DOI]

Peng Zhou

Liang Du

Xuejun Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Incremental multi-view spectral clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises.

[BibT_eX]

[DOI]

Peng Zhou

Fan Ye

Liang Du

IEEE Access, 2019

Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection.

[BibT_eX]

[DOI]

IEEE Access, 2019

Incremental Multi-view Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

2015

An LLE based Heterogeneous Metric Learning for Cross-media Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Recovery of Corrupted Multiple Kernels for Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Robust Multiple Kernel K-means Using L21-Norm.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Experimental Design with Multiple Kernels.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Convex Batch Mode Active Sampling via α-Relative Pearson Divergence.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Local and Global Discriminative Learning for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Peng Zhou

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