| Neighborhood linear discriminant analysis F Zhu, J Gao, J Yang, N Ye Pattern Recognition 123, 108422, 2022 | 151 | 2022 |
| A weighted one-class support vector machine F Zhu, J Yang, C Gao, S Xu, N Ye, T Yin Neurocomputing 189, 1-10, 2016 | 75 | 2016 |
| Boundary detection and sample reduction for one-class support vector machines F Zhu, N Ye, W Yu, S Xu, G Li Neurocomputing 123, 166-173, 2014 | 67 | 2014 |
| Automatic extraction of street trees’ nonphotosynthetic components from MLS data S Xu, S Xu, N Ye, F Zhu International journal of applied earth observation and geoinformation 69, 64-77, 2018 | 55 | 2018 |
| Extended nearest neighbor chain induced instance-weights for SVMs F Zhu, J Yang, J Gao, C Xu Pattern Recognition 60, 863-874, 2016 | 51 | 2016 |
| On selecting effective patterns for fast support vector regression training F Zhu, J Gao, C Xu, J Yang, D Tao IEEE transactions on neural networks and learning systems 29 (8), 3610-3622, 2017 | 49 | 2017 |
| On removing potential redundant constraints for SVOR learning F Zhu, Y Ning, X Chen, Y Zhao, Y Gang Applied Soft Computing 102, 106941, 2021 | 46 | 2021 |
| A supervoxel approach to the segmentation of individual trees from LiDAR point clouds S Xu, N Ye, S Xu, F Zhu Remote sensing letters 9 (6), 515-523, 2018 | 37 | 2018 |
| Feature selection boosted by unselected features W Zheng, S Chen, Z Fu, F Zhu, H Yan, J Yang IEEE transactions on neural networks and learning systems 33 (9), 4562-4574, 2021 | 29 | 2021 |
| Neighbors’ distribution property and sample reduction for support vector machines F Zhu, J Yang, N Ye, C Gao, G Li, T Yin Applied Soft Computing 16, 201-209, 2014 | 28 | 2014 |
| Joint metric learning-based class-specific representation for image set classification X Gao, S Niu, D Wei, X Liu, T Wang, F Zhu, J Dong, Q Sun IEEE Transactions on Neural Networks and Learning Systems, 2022 | 25 | 2022 |
| Finding the samples near the decision plane for support vector learning F Zhu, J Yang, J Gao, C Xu, S Xu, C Gao Information Sciences 382, 292-307, 2017 | 24 | 2017 |
| Manifold transfer subspace learning based on double relaxed discriminative regression Z Liu, F Zhu, K Zhang, Z Lai, H Huo Artificial Intelligence Review 56 (Suppl 1), 959-981, 2023 | 21 | 2023 |
| Large margin distribution multi-class supervised novelty detection F Zhu, W Zhang, X Chen, X Gao, N Ye Expert Systems with Applications 224, 119937, 2023 | 21 | 2023 |
| Individual stem detection in residential environments with MLS data S Xu, S Xu, N Ye, F Zhu Remote sensing letters 9 (1), 51-60, 2018 | 17 | 2018 |
| Low-rank structure preserving for unsupervised feature selection W Zheng, C Xu, J Yang, J Gao, F Zhu Neurocomputing 314, 360-370, 2018 | 16 | 2018 |
| Relative margin induced support vector ordinal regression F Zhu, X Chen, S Chen, W Zheng, W Ye Expert Systems with Applications 231, 120766, 2023 | 15 | 2023 |
| Relative density degree induced boundary detection for one-class SVM F Zhu, J Yang, S Xu, C Gao, N Ye, T Yin Soft Computing 20, 4473-4485, 2016 | 15 | 2016 |
| Anomaly detection‐based intelligent computing in internet of things and network applications F Zhu, R Shankaran, B Zhao, Y Zhao, Y Gang, X Chen Internet Technology Letters 4 (3), e293, 2021 | 8 | 2021 |
| Constraint-weighted support vector ordinal regression to resist constraint noises F Zhu, X Chen, X Gao, W Ye, H Zhao, AV Vasilakos Information Sciences 649, 119644, 2023 | 7 | 2023 |
