Peng Zhou

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Bipartite Graph

Multiple Kernel

Clustering Ensemble

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Boao Hu, Xu Wang, Peng Zhou, Liang Du
Multi-view Outlier Detection via Graphs Denoising. Inf. Fusion 101 (2024)
Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen
Partial Clustering Ensemble. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Liang Du, Xiaodong Li, Yan Chen, Gui Yang, Mian Ilyas Ahmad, Peng Zhou
Higher Order Multiple Graph Filtering for Structured Graph Learning. ICASSP (2024)
Liang Du, Yunhui Liang, Mian Ilyas Ahmad, Peng Zhou
K-Means Clustering Based on Chebyshev Polynomial Graph Filtering. ICASSP (2024)
Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu
Fair Feature Selection: A Causal Perspective. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Yan Chen, Liang Du, Peng Zhou, Lei Duan, Yuhua Qian
Multiple kernel clustering with local kernel reconstruction and global heat diffusion. Inf. Fusion 105 (2024)
Haipeng Yang, Bin Li, Fan Cheng, Peng Zhou, Renzhi Cao, Lei Zhang
A Node Classification-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Peng Zhou, Boao Hu, Dengcheng Yan, Liang Du
Clustering Ensemble via Diffusion on Adaptive Multiplex. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu
Fair Feature Selection: A Causal Perspective. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Shaojing Sheng, Zan Zhang, Peng Zhou, Xindong Wu
An effective algorithm for genealogical graph partitioning. Appl. Intell. 54 (2) (2024)
Peng Zhou, Xinwang Liu, Liang Du, Xuejun Li
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Linfan Zha, Yanming Chen, Peng Zhou, Yiwen Zhang
Intensifying The Consistency of Pseudo Label Refinement for Unsupervised Domain Adaptation Person Re-Identification. ICME (2023)
Jingwei Wang, Peng Zhou, Xianjun Han, Yanming Chen
Medical Image Super-Resolution via Diagnosis-Guided Attention. ICME (2023)
Peng Zhou, Xia Wang, Liang Du
Bi-level ensemble method for unsupervised feature selection. Inf. Fusion 100 (2023)
Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu
A Light Causal Feature Selection Approach to High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Peng Zhou, Jiangyong Chen, Liang Du, Xuejun Li
Balanced Spectral Feature Selection. IEEE Trans. Cybern. 53 (7) (2023)
Peng Zhou, Liang Du
Learnable Graph Filter for Multi-view Clustering. ACM Multimedia (2023)
Peng Zhou, Liang Du, Xuejun Li
Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Peng Zhou, Xia Wang, Liang Du, Xuejun Li
Clustering ensemble via structured hypergraph learning. Inf. Fusion 78 (2022)
Yuan Yuan, Yanming Chen, Yueqing Jing, Peng Zhou, Yiwen Zhang
FRATCF: Feature-Residue Real-Time UAV Tracking Based on Automatic Spatio-Temporal Regularization Correlation Filter. ICME (2022)
Bicheng Sun, Peng Zhou, Liang Du, Xuejun Li
Active deep image clustering. Knowl. Based Syst. 252 (2022)
Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li
Self-Paced Clustering Ensemble. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Xiaoqin Zhang, Mingyu Fan, Di Wang, Peng Zhou, Dacheng Tao
Top-k Feature Selection Framework Using Robust 0-1 Integer Programming. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li
Tri-level Robust Clustering Ensemble with Multiple Graph Learning. AAAI (2021)
Peng Zhou, Liang Du, Xuejun Li
Self-paced Consensus Clustering with Bipartite Graph. IJCAI (2020)
Peng Zhou, Jiangyong Chen, Mingyu Fan, Liang Du, Yi-Dong Shen, Xuejun Li
Unsupervised feature selection for balanced clustering. Knowl. Based Syst. 193 (2020)
Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian
Unsupervised feature selection with adaptive multiple graph learning. Pattern Recognit. 105 (2020)
Liang Du, Xin Ren, Peng Zhou, Zhiguo Hu
Unsupervised Dual Learning for Feature and Instance Selection. IEEE Access 8 (2020)
Zuobin Ying, Shuanglong Cao, Peng Zhou, Shun Zhang, Ximeng Liu
Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU. ICA3PP (2) (2019)
Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye
Incremental Multi-view Support Vector Machine. SDM (2019)
Peng Zhou, Fan Ye, Liang Du
Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises. IEEE Access 7 (2019)
Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li
Incremental multi-view spectral clustering. Knowl. Based Syst. 174 (2019)
Liang Du, Chaohong Ren, Xiaolin Lv, Yan Chen, Peng Zhou, Zhiguo Hu
Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection. IEEE Access 7 (2019)
Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen
An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. SDM (2015)
Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen
Recovery of Corrupted Multiple Kernels for Clustering. IJCAI (2015)
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen
Convex Batch Mode Active Sampling via α-Relative Pearson Divergence. AAAI (2015)
Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen
Robust Multiple Kernel K-means Using L21-Norm. IJCAI (2015)
Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen
Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. IJCAI (2015)
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen
Experimental Design with Multiple Kernels. ICDM (2015)
Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou, Yi-Dong Shen
Local and Global Discriminative Learning for Unsupervised Feature Selection. ICDM (2013)