Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering Y Meng, R Shang, L Jiao, W Zhang, Y Yuan, S Yang Neurocomputing 290, 87-99, 2018 | 67 | 2018 |
Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints Y Meng, R Shang, L Jiao, W Zhang, S Yang Engineering Applications of Artificial Intelligence 69, 24-35, 2018 | 66 | 2018 |
Semi-supervised graph regularized deep NMF with bi-orthogonal constraints for data representation Y Meng, R Shang, F Shang, L Jiao, S Yang, R Stolkin IEEE transactions on neural networks and learning systems 31 (9), 3245-3258, 2019 | 63 | 2019 |
Local discriminative based sparse subspace learning for feature selection R Shang, Y Meng, W Wang, F Shang, L Jiao Pattern Recognition 92, 219-230, 2019 | 60 | 2019 |
Visdrone-sot2018: The vision meets drone single-object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, C Liu, H Cheng, X Liu, W Ma, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 56 | 2018 |
A self-paced learning algorithm for change detection in synthetic aperture radar images R Shang, Y Yuan, L Jiao, Y Meng, AM Ghalamzan Signal processing 142, 375-387, 2018 | 36 | 2018 |
Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning R Shang, Y Meng, C Liu, L Jiao, AMG Esfahani, R Stolkin Machine Learning 108, 659-686, 2019 | 26 | 2019 |
Graph convolutional neural networks with geometric and discrimination information R Shang, Y Meng, W Zhang, F Shang, L Jiao, S Yang Engineering Applications of Artificial Intelligence 104, 104364, 2021 | 13 | 2021 |
Nonnegative matrix factorization with rank regularization and hard constraint R Shang, C Liu, Y Meng, L Jiao, R Stolkin Neural Computation 29 (9), 2553-2579, 2017 | 11 | 2017 |
细菌觅食优化算法的边界条件 孟洋, 田雨波 计算机应用 35 (A02), 111-113, 2015 | 1 | 2015 |
基于变异算子的细菌觅食优化算法研究 孟洋, 姚兆俊 信息技术 39 (11), 109-112, 2015 | | 2015 |