Articles with public access mandates - Peng Zhou (周芃)Learn more
Not available anywhere: 2
Active clustering ensemble with self-paced learning
P Zhou, B Sun, X Liu, L Du, X Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
A light causal feature selection approach to high-dimensional data
Z Ling, Y Li, Y Zhang, K Yu, P Zhou, B Li, X Wu
IEEE Transactions on Knowledge and Data Engineering 35 (8), 7639-7650, 2022
Mandates: National Natural Science Foundation of China
Available somewhere: 36
Robust multiple kernel k-means using l21-norm
L Du, P Zhou, L Shi, H Wang, M Fan, W Wang, YD Shen
Twenty-fourth international joint conference on artificial intelligence, 2015
Mandates: National Natural Science Foundation of China
Top-k Feature Selection Framework Using Robust 0–1 Integer Programming
X Zhang, M Fan, D Wang, P Zhou, D Tao
IEEE Transactions on Neural Networks and Learning Systems 32 (7), 3005-3019, 2020
Mandates: Australian Research Council, National Natural Science Foundation of China
Self-paced clustering ensemble
P Zhou, L Du, X Liu, YD Shen, M Fan, X Li
IEEE transactions on neural networks and learning systems 32 (4), 1497-1511, 2020
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Unsupervised feature selection for balanced clustering
P Zhou, J Chen, M Fan, L Du, YD Shen, X Li
Knowledge-Based Systems 193, 105417, 2020
Mandates: National Natural Science Foundation of China
Incremental multi-view spectral clustering
P Zhou, YD Shen, L Du, F Ye, X Li
Knowledge-Based Systems 174, 73-86, 2019
Mandates: National Natural Science Foundation of China
Clustering ensemble via structured hypergraph learning
P Zhou, X Wang, L Du, X Li
Information Fusion 78, 171-179, 2022
Mandates: National Natural Science Foundation of China
Learning a robust consensus matrix for clustering ensemble via Kullback-Leibler divergence minimization
P Zhou, L Du, H Wang, L Shi, YD Shen
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Mandates: National Natural Science Foundation of China
Recovery of corrupted multiple kernels for clustering
P Zhou, L Du, L Shi, H Wang, YD Shen
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Mandates: National Natural Science Foundation of China
Unsupervised feature selection with adaptive multiple graph learning
P Zhou, L Du, X Li, YD Shen, Y Qian
Pattern Recognition 105, 107375, 2020
Mandates: National Natural Science Foundation of China
Self-paced consensus clustering with bipartite graph
P Zhou, L Du, X Li
Proceedings of the Twenty-Ninth International Conference on International …, 2021
Mandates: National Natural Science Foundation of China
Tri-level robust clustering ensemble with multiple graph learning
P Zhou, L Du, YD Shen, X Li
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11125 …, 2021
Mandates: National Natural Science Foundation of China
Balanced spectral feature selection
P Zhou, J Chen, L Du, X Li
IEEE Transactions on Cybernetics 53 (7), 4232-4244, 2022
Mandates: National Natural Science Foundation of China
Adaptive consensus clustering for multiple k-means via base results refining
P Zhou, L Du, X Li
IEEE Transactions on Knowledge and Data Engineering 35 (10), 10251-10264, 2023
Mandates: National Natural Science Foundation of China
Self-paced adaptive bipartite graph learning for consensus clustering
P Zhou, X Liu, L Du, X Li
ACM Transactions on Knowledge Discovery from Data 17 (5), 1-35, 2023
Mandates: National Natural Science Foundation of China
Active deep image clustering
B Sun, P Zhou, L Du, X Li
Knowledge-Based Systems 252, 109346, 2022
Mandates: National Natural Science Foundation of China
An LLE based heterogeneous metric learning for cross-media retrieval
P Zhou, L Du, M Fan, YD Shen
Proceedings of the 2015 SIAM international conference on data mining, 64-72, 2015
Mandates: National Natural Science Foundation of China
Learnable graph filter for multi-view clustering
P Zhou, L Du
Proceedings of the 31st ACM International Conference on Multimedia, 3089-3098, 2023
Mandates: National Natural Science Foundation of China
Clustering ensemble via diffusion on adaptive multiplex
P Zhou, B Hu, D Yan, L Du
IEEE Transactions on Knowledge and Data Engineering, 2023
Mandates: National Natural Science Foundation of China
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