| Neural style transfer: A review Y Jing, Y Yang, Z Feng, J Ye, Y Yu, M Song IEEE transactions on visualization and computer graphics 26 (11), 3365-3385, 2019 | 826 | 2019 |
| Deep model reassembly X Yang, D Zhou, S Liu, J Ye, X Wang Advances in neural information processing systems 35, 25739-25753, 2022 | 113 | 2022 |
| Dataset distillation via factorization S Liu, K Wang, X Yang, J Ye, X Wang Advances in neural information processing systems 35, 1100-1113, 2022 | 108 | 2022 |
| Factorizing knowledge in neural networks X Yang, J Ye, X Wang European Conference on Computer Vision, 73-91, 2022 | 106 | 2022 |
| Online knowledge distillation for efficient pose estimation Z Li, J Ye, M Song, Y Huang, Z Pan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 85 | 2021 |
| Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more J Ye, Y Ji, X Wang, K Ou, D Tao, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 60 | 2019 |
| Spot-adaptive knowledge distillation J Song, Y Chen, J Ye, M Song IEEE Transactions on Image Processing 31, 3359-3370, 2022 | 58 | 2022 |
| Data-free knowledge amalgamation via group-stack dual-gan J Ye, Y Ji, X Wang, X Gao, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 51 | 2020 |
| Slimmable dataset condensation S Liu, J Ye, R Yu, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 43 | 2023 |
| Dynast: Dynamic sparse transformer for exemplar-guided image generation S Liu, J Ye, S Ren, X Wang European Conference on Computer Vision, 72-90, 2022 | 40 | 2022 |
| Depara: Deep attribution graph for deep knowledge transferability J Song, Y Chen, J Ye, X Wang, C Shen, F Mao, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 31 | 2020 |
| Kairi Ou, Dapeng Tao, and Mingli Song. Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more J Ye, Y Ji, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2, 2019 | 29 | 2019 |
| Learning with recoverable forgetting J Ye, Y Fu, J Song, X Yang, S Liu, X Jin, M Song, X Wang European Conference on Computer Vision, 87-103, 2022 | 27 | 2022 |
| Amalgamating filtered knowledge: Learning task-customized student from multi-task teachers J Ye, X Wang, Y Ji, K Ou, M Song arXiv preprint arXiv:1905.11569, 2019 | 25 | 2019 |
| Finer-net: Cascaded human parsing with hierarchical granularity J Ye, Z Feng, Y Jing, M Song 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 15 | 2018 |
| Edge-sensitive human cutout with hierarchical granularity and loopy matting guidance J Ye, Y Jing, X Wang, K Ou, D Tao, M Song IEEE Transactions on Image Processing 29, 1177-1191, 2019 | 14 | 2019 |
| Safe distillation box J Ye, Y Mao, J Song, X Wang, C Jin, M Song Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3117-3124, 2022 | 12 | 2022 |
| Partial network cloning J Ye, S Liu, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| A survey of neural trees H Li, J Song, M Xue, H Zhang, J Ye, L Cheng, M Song arXiv preprint arXiv:2209.03415, 2022 | 8 | 2022 |
| Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization K Chen, S Liu, T Zhu, J Qiao, Y Su, Y Tian, T Zheng, H Zhang, Z Feng, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
