| Cross-Image Relational Knowledge Distillation for Semantic Segmentation C Yang, H Zhou, Z An, X Jiang, Y Xu, Q Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 214 | 2022 |
| Mutual contrastive learning for visual representation learning C Yang, Z An, L Cai, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3045-3053, 2022 | 84 | 2022 |
| Hierarchical Self-supervised Augmented Knowledge Distillation C Yang, Z An, L Cai, Y Xu International Joint Conference on Artificial Intelligence (IJCAI-21), 1217-1223, 2021 | 84 | 2021 |
| EENA: Efficient evolution of neural architecture H Zhu, Z An, C Yang, K Xu, E Zhao, Y Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 60 | 2019 |
| Online knowledge distillation via mutual contrastive learning for visual recognition C Yang, Z An, H Zhou, F Zhuang, Y Xu, Q Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 10212 …, 2023 | 59 | 2023 |
| MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition C Yang, Z An, H Zhou, L Cai, X Zhi, J Wu, Y Xu, Q Zhang European Conference on Computer Vision, 534-551, 2022 | 59 | 2022 |
| Gated Convolutional Networks with Hybrid Connectivity for Image Classification C Yang, Z An, H Zhu, X Hu, K Zhang, K Xu, C Li, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 12581 …, 2020 | 59 | 2020 |
| Multi-objective Pruning for CNNs using Genetic Algorithm C Yang, Z An, C Li, B Diao, Y Xu 28th International Conference on Artificial Neural Networks (ICANN), 299-305, 2019 | 41 | 2019 |
| Prior Gradient Mask Guided Pruning-aware Fine-tuning L Cai, Z An, C Yang, Y Yan, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 37 | 2022 |
| CLIP-KD: An Empirical Study of CLIP Model Distillation C Yang, Z An, L Huang, J Bi, X Yu, H Yang, B Diao, Y Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 30* | 2024 |
| Categories of response-based, feature-based, and relation-based knowledge distillation C Yang, X Yu, Z An, Y Xu Advancements in Knowledge Distillation: Towards New Horizons of Intelligent …, 2023 | 29 | 2023 |
| Softer Pruning, Incremental Regularization L Cai, Z An, C Yang, Y Xu International Conference on Pattern Recognition (ICPR), 2020 | 29 | 2020 |
| Multi-view contrastive learning for online knowledge distillation C Yang, Z An, Y Xu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 27 | 2021 |
| Knowledge distillation using hierarchical self-supervision augmented distribution C Yang, Z An, L Cai, Y Xu IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2094-2108, 2022 | 20 | 2022 |
| Dnanet: De-normalized attention based multi-resolution network for human pose estimation K Zhang, P He, P Yao, G Chen, C Yang, H Li, L Fu, T Zheng CORR, 2019 | 16 | 2019 |
| eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation L Huang, Y Zeng, C Yang, Z An, B Diao, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12591 …, 2024 | 11 | 2024 |
| Soft and hard filter pruning via dimension reduction L Cai, Z An, C Yang, Y Xu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 10 | 2021 |
| Efficient Search for the Number of Channels for Convolutional Neural Networks H Zhu, Z An, C Yang, X Hu, K Xu, Y Xu International Joint Conference on Neural Networks (IJCNN), 2020 | 10* | 2020 |
| DetKDS: Knowledge Distillation Search for Object Detectors L Li, Y Bao, P Dong, C Yang, A Li, W Luo, Q Liu, W Xue, Y Guo Forty-first International Conference on Machine Learning, 0 | 10 | |
| VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching J Bi, D Cheng, P Yao, B Pang, Y Zhan, C Yang, Y Wang, H Sun, W Deng, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
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