| 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 | 260 | 2015 |
| 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 | 139 | 2020 |
| 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 | 87 | 2020 |
| Unsupervised feature selection for balanced clustering P Zhou, J Chen, M Fan, L Du, YD Shen, X Li Knowledge-Based Systems 193, 105417, 2020 | 63 | 2020 |
| Incremental multi-view spectral clustering P Zhou, YD Shen, L Du, F Ye, X Li Knowledge-Based Systems 174, 73-86, 2019 | 63 | 2019 |
| Clustering ensemble via structured hypergraph learning P Zhou, X Wang, L Du, X Li Information Fusion 78, 171-179, 2022 | 57 | 2022 |
| 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 | 56 | 2015 |
| 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 | 52 | 2015 |
| Unsupervised feature selection with adaptive multiple graph learning P Zhou, L Du, X Li, YD Shen, Y Qian Pattern Recognition 105, 107375, 2020 | 49 | 2020 |
| Local and global discriminative learning for unsupervised feature selection L Du, Z Shen, X Li, P Zhou, YD Shen 2013 IEEE 13th International Conference on Data Mining, 131-140, 2013 | 39 | 2013 |
| Self-paced consensus clustering with bipartite graph P Zhou, L Du, X Li Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 36 | 2021 |
| 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 | 33 | 2021 |
| Balanced spectral feature selection P Zhou, J Chen, L Du, X Li IEEE Transactions on Cybernetics 53 (7), 4232-4244, 2022 | 25 | 2022 |
| 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 | 24 | 2023 |
| 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 | 20 | 2023 |
| 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 | 20 | 2023 |
| 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 | 19 | 2015 |
| Active deep image clustering B Sun, P Zhou, L Du, X Li Knowledge-Based Systems 252, 109346, 2022 | 16 | 2022 |
| Learnable graph filter for multi-view clustering P Zhou, L Du Proceedings of the 31st ACM International Conference on Multimedia, 3089-3098, 2023 | 13 | 2023 |
| Local graph reconstruction for parameter free unsupervised feature selection L Du, C Ren, X Lv, Y Chen, P Zhou, Z Hu IEEE Access 7, 102921-102930, 2019 | 12 | 2019 |
Liang Du(杜亮)Associate Professor of Computer Science, Shanxi University在 sxu.edu.cn 的电子邮件经过验证
