| Unsupervised Feature Selection with Adaptive Structure Learning L Du, YD Shen The ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2015 | 250 | 2015 |
| Robust Multiple Kernel K-means using L21-norm L Du, P Zhou, L Shi, H Wang, M Fan, W Wang, YD Shen The International Joint Conferences on Artificial Intelligence, 3476-3482, 2015 | 249 | 2015 |
| Robust Spectral Learning for Unsupervised Feature Selection L Shi, L Du, Y Shen The 13th IEEE International Conference on Data Mining (ICDM) 2014, 2014 | 157 | 2014 |
| Robust Nonnegative Matrix Factorization Via Half-Quadratic Minimization L Du, X Li, YD Shen IEEE 12th International Conference on Data Mining (ICDM), 201-210, 2012 | 130 | 2012 |
| 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 | 75 | 2020 |
| Incremental Multi-View Spectral Clustering P Zhou, YD Shen, L Du, F Ye, X Li Knowledge-Based Systems 174, 73-86, 2019 | 53 | 2019 |
| Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization P Zhou, L Du, L Shi, H Wang, YD Shen The International Joint Conferences on Artificial Intelligence, 3476-3482, 2015 | 52 | 2015 |
| User Graph Regularized Pairwise Matrix Factorization for Item Recommendation L Du, X Li, YD Shen Advanced Data Mining and Applications, 372-385, 2011 | 52 | 2011 |
| Recovery of Corrupted Multiple Kernels for Clustering P Zhou, L Du, L Shi, H Wang, YD Shen The International Joint Conferences on Artificial Intelligence, 4105-4111, 2015 | 49 | 2015 |
| Unsupervised Feature Selection for Balanced Clustering P Zhou, J Chen, M Fan, L Du, YD Shen, X Li Knowledge-Based Systems 193, 105417, 2020 | 48 | 2020 |
| Update Summarization via Graph-Based Sentence Ranking X Li, L Du, YD Shen IEEE Transactions on Knowledge and Data Engineering (TKDE) 25 (5), 1162 - 1174, 2013 | 46 | 2013 |
| Clustering Ensemble via Structured Hypergraph Learning P Zhou, X Wang, L Du, X Li Information Fusion 78, 171-179, 2022 | 44 | 2022 |
| Unsupervised Feature Selection with Adaptive Multiple Graph Learning P Zhou, L Du, X Li, YD Shen, Y Qian Pattern Recognition 105, 107375, 2020 | 41 | 2020 |
| Semi-supervised learning through label propagation on geodesics M Fan, X Zhang, L Du, L Chen, D Tao IEEE Transactions on Cybernetics 48 (5), 1486-1499, 2017 | 40 | 2017 |
| Local and Global Discriminative Learning for Unsupervised Feature Selection L Du, Z Shen, X Li, P Zhou, YD Shen The 13th IEEE International Conference on Data Mining (ICDM), 2013 | 39 | 2013 |
| Efficient Sequential Feature Selection based on Adaptive Eigenspace Model N Gu, M Fan, L Du, D Ren Neurocomputing 161, 199-209, 2015 | 36 | 2015 |
| Self-Paced Consensus Clustering with Bipartite Graph P Zhou, L Du, X Li Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 34 | 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 | 28 | 2021 |
| Towards Robust Co-Clustering L Du, Y Shen The 23rd International Joint Conference on Artificial Intelligence (IJCAI …, 2013 | 26 | 2013 |
| Top-k Supervise Feature Selection via ADMM for Integer Programming. M Fan, X Chang, X Zhang, DW 0008, L Du The International Joint Conferences on Artificial Intelligence, 1646-1653, 2017 | 23 | 2017 |
Peng Zhou (周芃)Anhui UniversityVerified email at ahu.edu.cn
