| Online Knowledge Distillation with Diverse Peers D Chen, JP Mei, C Wang, Y Feng, C Chen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3430-3437, 2020 | 265 | 2020 |
| Cross-layer distillation with semantic calibration D Chen, JP Mei, Y Zhang, C Wang, Z Wang, Y Feng, C Chen Proceedings of the AAAI conference on artificial intelligence 35 (8), 7028-7036, 2021 | 247 | 2021 |
| Knowledge Distillation with the Reused Teacher Classifier D Chen, JP Mei, H Zhang, C Wang, Y Feng, C Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 120 | 2022 |
| Distilling holistic knowledge with graph neural networks S Zhou, Y Wang, D Chen, J Chen, X Wang, C Wang, J Bu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 54 | 2021 |
| Confidence-Aware Multi-Teacher Knowledge Distillation H Zhang, D Chen, C Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 42 | 2022 |
| HAHE: Hierarchical attentive heterogeneous information network embedding S Zhou, J Bu, X Wang, J Chen, B Hu, D Chen, C Wang arXiv preprint arXiv:1902.01475v1, 2019 | 41 | 2019 |
| JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding Z Zhou, C Wang, Y Feng, D Chen Knowledge-Based Systems 240, 108100, 2022 | 39 | 2022 |
| Online knowledge distillation via multi-branch diversity enhancement Z Li, Y Huang, D Chen, T Luo, N Cai, Z Pan Proceedings of the Asian Conference on Computer Vision, 2020 | 22 | 2020 |
| Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding C Wang, S Zhou, K Yu, D Chen, B Li, Y Feng, C Chen Proceedings of the ACM Web Conference 2022, 1631-1639, 2022 | 21 | 2022 |
| Domain-specific bias filtering for single labeled domain generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin International Journal of Computer Vision 131 (2), 552-571, 2023 | 16 | 2023 |
| Label-Efficient Domain Generalization via Collaborative Exploration and Generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin Proceedings of the 30th ACM International Conference on Multimedia, 2361-2370, 2022 | 16 | 2022 |
| Collaborative Semantic Aggregation and Calibration for Separated Domain Generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin IEEE Transactions on Knowledge and Data Engineering 35 (12), 12528-12541, 2023 | 11 | 2023 |
| Accelerating diffusion sampling with classifier-based feature distillation W Sun, D Chen, C Wang, D Ye, Y Feng, C Chen 2023 IEEE International Conference on Multimedia and Expo (ICME), 810-815, 2023 | 8 | 2023 |
| Online adversarial knowledge distillation for graph neural networks C Wang, Z Wang, D Chen, S Zhou, Y Feng, C Chen Expert Systems with Applications 237, 121671, 2024 | 6* | 2024 |
| A geometric perspective on diffusion models D Chen, Z Zhou, JP Mei, C Shen, C Chen, C Wang arXiv preprint arXiv:2305.19947, 2023 | 6 | 2023 |
| Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning H Zhang, D Chen, C Wang 2023 IEEE International Conference on Multimedia and Expo (ICME), 1943-1948, 2023 | 3 | 2023 |
| Alignahead: online cross-layer knowledge extraction on graph neural networks J Guo, D Chen, C Wang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| Online cross-layer knowledge distillation on graph neural networks with deep supervision J Guo, D Chen, C Wang Neural Computing and Applications 35 (30), 22359-22374, 2023 | 2 | 2023 |
| Fast ODE-based Sampling for Diffusion Models in Around 5 Steps Z Zhou, D Chen(†), C Wang, C Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Knowledge Distillation with Deep Supervision S Luo, D Chen, C Wang 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
Can WangProfessor of Computer Science, Zhejiang Universityzju.edu.cn의 이메일 확인됨
