| 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 | 249 | 2015 |
| 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 | 52 | 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 | 49 | 2015 |
| Uncertainty sampling for action recognition via maximizing expected average precision H Wang, X Chang, L Shi, Y Yang, YD Shen IJCAI international joint conference on artificial intelligence, 2018 | 17 | 2018 |
| Bounding uncertainty for active batch selection H Wang, R Zhou, YD Shen Proceedings of the AAAI conference on artificial intelligence 33 (01), 5240-5247, 2019 | 15 | 2019 |
| Convex batch mode active sampling via α-relative pearson divergence H Wang, L Du, P Zhou, L Shi, YD Shen Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 8 | 2015 |
| Experimental design with multiple kernels H Wang, L Du, P Zhou, L Shi, Y Qian, YD Shen 2015 IEEE International Conference on Data Mining, 419-428, 2015 | 5 | 2015 |
