| Transductive Unbiased Embedding for Zero-Shot Learning J Song, C Shen, Y Yang, Y Liu, M Song The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1024-1033, 2018 | 240 | 2018 |
| Data-Free Adversarial Distillation G Fang, J Song, C Shen, X Wang, D Chen, M Song arXiv preprint arXiv:1912.11006, 2019 | 152 | 2019 |
| Amalgamating Knowledge towards Comprehensive Classification C Shen, X Wang, J Song, L Sun, M Song AAAI Conference on Artificial Intelligence (AAAI) 33, 3068-3075, 2018 | 92 | 2018 |
| Contrastive Model Inversion for Data-Free Knowledge Distillation G Fang, J Song, X Wang, C Shen, X Wang, M Song International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 74 | 2021 |
| Deep Model Transferability from Attribution Maps J Song, Y Chen, X Wang, C Shen, M Song Advances in Neural Information Processing Systems (NeurIPS), 2019 | 65 | 2019 |
| Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation C Shen, M Xue, X Wang, J Song, L Sun, M Song The IEEE International Conference on Computer Vision (ICCV), 2019 | 56 | 2019 |
| Progressive Network Grafting for Few-Shot Knowledge Distillation C Shen, X Wang, Y Yin, J Song, S Luo, M Song AAAI Conference on Artificial Intelligence (AAAI), 2020 | 55 | 2020 |
| DeepSIC: Deep Semantic Image Compression S Luo, Y Yang, Y Yin, C Shen, Y Zhao, M Song International Conference on Neural Information Processing (ICONIP), 96-106, 2018 | 53 | 2018 |
| Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data G Fang, Y Bao, J Song, X Wang, D Xie, C Shen, M Song Advances in Neural Information Processing Systems (NeurIPS), 2021 | 39 | 2021 |
| DEPARA: Deep Attribution Graph for Deep Knowledge Transferability J Song, Y Chen, J Ye, X Wang, C Shen, F Mao, M Song The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3922-3930, 2020 | 34 | 2020 |
| Selective Zero-Shot Classification with Augmented Attributes J Song, C Shen, J Lei, AX Zeng, K Ou, D Tao, M Song European Conference on Computer Vision (ECCV), 468-483, 2018 | 34 | 2018 |
| Training Generative Adversarial Networks in One Stage C Shen, Y Yin, X Wang, X Li, J Song, M Song The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 18 | 2021 |
| Reliability aware web accessibility experience metric S Song, J Bu, C Shen, A Artmeier, Z Yu, Q Zhou Proceedings of the Internet of Accessible Things, 1-4, 2018 | 17 | 2018 |
| How To Prevent the Poor Performance Clients for Personalized Federated Learning? Z Qu, X Li, X Han, R Duan, C Shen, L Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Modeling Global Distribution for Federated Learning with Label Distribution Skew T Sheng, C Shen, Y Liu, Y Ou, Z Qu, J Wang Pattern Recognition, 2022 | 7 | 2022 |
| Inter-Instance Similarity Modeling for Contrastive Learning C Shen, D Liu, H Tang, Z Qu, J Wang arXiv preprint arXiv:2306.12243, 2023 | 5 | 2023 |
| Value-Aware Resampling and Loss for Imbalanced Classification L Sun, J Song, C Hua, C Shen, M Song International Conference on Computer Science and Application Engineering …, 2018 | 4 | 2018 |
| Asymmetric Patch Sampling for Contrastive Learning C Shen, J Chen, S Wang, H Kuang, J Liu, J Wang arXiv preprint arXiv:2306.02854, 2023 | 3 | 2023 |
| Learning Dynamic Preference Structure Embedding From Temporal Networks T Zheng, Z Feng, Y Wang, C Shen, M Song, X Wang, X Wang, C Chen, ... IEEE International Conference on Big Knowledge (ICBK), 1-9, 2021 | 1 | 2021 |
| Intra-class Structure Aware Networks for Screen Defect Detection C Shen, J Song, S Song, S Luo, L Sun, M Song International Conference on Neural Information Processing (ICONIP), 476-485, 2018 | | 2018 |
Song, MingliFull Professor of Computer Science, Zhejiang University在 zju.edu.cn 的电子邮件经过验证
