| Focal and global knowledge distillation for detectors Z Yang, Z Li, X Jiang, Y Gong, Z Yuan, D Zhao, C Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 316 | 2022 |
| Masked generative distillation Z Yang, Z Li, M Shao, D Shi, Z Yuan, C Yuan European Conference on Computer Vision, 53-69, 2022 | 211 | 2022 |
| ConTNet: Why not use convolution and transformer at the same time? H Yan, Z Li, W Li, C Wang, M Wu, C Zhang arXiv preprint arXiv:2104.13497, 2021 | 109 | 2021 |
| From knowledge distillation to self-knowledge distillation: A unified approach with normalized loss and customized soft labels Z Yang, A Zeng, Z Li, T Zhang, C Yuan, Y Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 98* | 2023 |
| ViTKD: Feature-based Knowledge Distillation for Vision Transformers Z Yang, Z Li, A Zeng, Z Li, C Yuan, Y Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 60* | 2024 |
| Reading selectively via Binary Input Gated Recurrent Unit. Z Li, P Wang, H Lu, J Cheng IJCAI, 5074-5080, 2019 | 12 | 2019 |
| TernaryLLM: Ternarized Large Language Model T Chen, Z Li, W Xu, Z Zhu, D Li, L Tian, E Barsoum, P Wang, J Cheng arXiv preprint arXiv:2406.07177, 2024 | 2 | 2024 |
| DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models W Ke, Z Li, D Li, L Tian, E Barsoum Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| From knowledge distillation to self-knowledge distillation: A unified approach with normalized loss and customized soft labels Z Yang, A Zeng, Z Li, T Zhang, C Yuan, Y Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| A Malleable Boundary Network for temporal action detection T Wang, B Hou, Z Li, Z Li, L Huang, B Zhang, H Snoussi Computers and Electrical Engineering 103, 108250, 2022 | | 2022 |
Zhendong YangTencent WeChatVerified email at mails.tsinghua.edu.cn