| One-step multi-view spectral clustering X Zhu, S Zhang, W He, R Hu, C Lei, P Zhu IEEE Transactions on Knowledge and Data Engineering 31 (10), 2022-2034, 2018 | 243 | 2018 |
| Dynamic graph learning for spectral feature selection W Zheng, X Zhu, Y Zhu, R Hu, C Lei Multimedia tools and applications 77, 29739-29755, 2018 | 96 | 2018 |
| Unsupervised feature selection via local structure learning and sparse learning C Lei, X Zhu Multimedia Tools and Applications 77, 29605-29622, 2018 | 76 | 2018 |
| Adaptive reverse graph learning for robust subspace learning C Yuan, Z Zhong, C Lei, X Zhu, R Hu Information Processing & Management 58 (6), 102733, 2021 | 57 | 2021 |
| Self-paced learning for k-means clustering algorithm H Yu, G Wen, J Gan, W Zheng, C Lei Pattern Recognition Letters 132, 69-75, 2020 | 49 | 2020 |
| Supervised feature selection by self-paced learning regression J Gan, G Wen, H Yu, W Zheng, C Lei Pattern Recognition Letters 132, 30-37, 2020 | 39 | 2020 |
| Unsupervised feature selection by combining subspace learning with feature self-representation Y Li, C Lei, Y Fang, R Hu, Y Li, S Zhang Pattern Recognition Letters 109, 35-43, 2018 | 21 | 2018 |
| Unsupervised nonlinear feature selection algorithm via kernel function J Li, S Zhang, L Zhang, C Lei, J Zhang Neural Computing and Applications 32, 6443-6454, 2020 | 17 | 2020 |
| Robust Graph Dimensionality Reduction. X Zhu, C Lei, H Yu, Y Li, J Gan, S Zhang IJCAI, 3257-3263, 2018 | 15 | 2018 |
| Low-rank hypergraph feature selection for multi-output regression X Zhu, R Hu, C Lei, KH Thung, W Zheng, C Wang World Wide Web 22, 517-531, 2019 | 14 | 2019 |
| Neural auto-designer for enhanced quantum kernels C Lei, Y Du, P Mi, J Yu, T Liu arXiv preprint arXiv:2401.11098, 2024 | 7 | 2024 |
| Unsupervised feature selection via local structure learning and self-representation S Zhang, C Lei, Y Fang, Y Li, R Hu, X Hu 2017 IEEE International Conference on Big Knowledge (ICBK), 297-302, 2017 | 5 | 2017 |
| Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks X Hu, L Wang, J Tang, C Lei, P Liu, X Li 2017 IEEE 19th International Conference on e-Health Networking, Applications …, 2017 | 4 | 2017 |
| 基于超图和样本自表征的谱聚类算法 李永钢， 苏毅娟， 何威， 雷聪 计算机应用研究 34 (6), 1621-1625, 2017 | 3 | 2017 |
| Hypergraph expressing low-rank feature selection algorithm Y Fang, Y Li, C Lei, Y Li, X Deng Multimedia Tools and Applications 77, 29551-29572, 2018 | 2 | 2018 |
| Supervised feature selection algorithm based on low-rank and manifold learning Y Fang, J Zhang, S Zhang, C Lei, X Hu Advanced Data Mining and Applications: 13th International Conference, ADMA …, 2017 | 2 | 2017 |
| Unsupervised spectral feature selection with local structure learning S Zhang, Y Fang, C Lei, Y Li, R Hu, Y Li 2017 IEEE International Conference on Big Knowledge (ICBK), 303-308, 2017 | 1 | 2017 |
| 基于属性自表达的低秩超图属性选择算法 苏毅娟， 雷聪， 胡荣耀， 何威， 朱永华 计算机应用研究 34 (8), 2294-2298, 2017 | | 2017 |
Xiaofeng ZHUUniversity of Electronic Science and Technology of China (电子科技大学)在 massey.ac.nz 的电子邮件经过验证