| Learning a mixture of granularity-specific experts for fine-grained categorization L Zhang, S Huang, W Liu, D Tao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 196 | 2019 |
| Reinforcement online learning for emotion prediction by using physiological signals W Liu, L Zhang, D Tao, J Cheng Pattern Recognition Letters 107, 123-130, 2018 | 46 | 2018 |
| Intra-class part swapping for fine-grained image classification L Zhang, S Huang, W Liu Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 31 | 2021 |
| Support vector machine active learning by hessian regularization W Liu, L Zhang, D Tao, J Cheng Journal of Visual Communication and Image Representation 49, 47-56, 2017 | 19 | 2017 |
| Learning sequentially diversified representations for fine-grained categorization L Zhang, S Huang, W Liu Pattern Recognition 121, 108219, 2022 | 17 | 2022 |
| Multi-order feature statistical model for fine-grained visual categorization Q Wang, K Zhang, J Fan, S Huang, L Zhang 2020 25th International Conference on Pattern Recognition (ICPR), 7379-7386, 2021 | 2 | 2021 |
| Online Laplacian-regularized support vector regression L Zhang, W Liu 2017 3rd IEEE International Conference on Cybernetics (CYBCONF), 1-6, 2017 | 2 | 2017 |
| Laplacian regularized active learning for image segmentation L Zhang, D Tao, W Liu Proceedings 2014 IEEE International Conference on Security, Pattern Analysis …, 2014 | 1 | 2014 |
| Structure-Aware Feature Generation for Zero-Shot Learning L Zhang, S Huang, X Wang, W Liu, D Tao arXiv preprint arXiv:2108.07032, 2021 | | 2021 |
