| Discrimination-aware channel pruning for deep neural networks Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu Advances in neural information processing systems 31, 2018 | 776 | 2018 |
| Scalable vision transformers with hierarchical pooling Z Pan, B Zhuang, J Liu, H He, J Cai Proceedings of the IEEE/cvf international conference on computer vision, 377-386, 2021 | 176 | 2021 |
| Generative low-bitwidth data free quantization S Xu, H Li, B Zhuang, J Liu, J Cao, C Liang, M Tan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 153 | 2020 |
| Discrimination-aware Network Pruning for Deep Model Compression J Liu, B Zhuang, Z Zhuang, Y Guo, J Huang, J Zhu, M Tan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 1, 1-15, 2021 | 152 | 2021 |
| Less is more: Pay less attention in vision transformers Z Pan, B Zhuang, H He, J Liu, J Cai Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2035-2043, 2022 | 97 | 2022 |
| Ptqd: Accurate post-training quantization for diffusion models Y He, L Liu, J Liu, W Wu, H Zhou, B Zhuang Advances in Neural Information Processing Systems 36, 13237-13249, 2023 | 81 | 2023 |
| A survey on efficient training of transformers B Zhuang, J Liu, Z Pan, H He, Y Weng, C Shen arXiv preprint arXiv:2302.01107, 2023 | 61 | 2023 |
| Qllm: Accurate and efficient low-bitwidth quantization for large language models J Liu, R Gong, X Wei, Z Dong, J Cai, B Zhuang arXiv preprint arXiv:2310.08041, 2023 | 56 | 2023 |
| Pruning self-attentions into convolutional layers in single path H He, J Cai, J Liu, Z Pan, J Zhang, D Tao, B Zhuang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 48 | 2024 |
| Effective training of convolutional neural networks with low-bitwidth weights and activations B Zhuang, M Tan, J Liu, L Liu, I Reid, C Shen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6140 …, 2021 | 47 | 2021 |
| Aqd: Towards accurate quantized object detection P Chen, J Liu, B Zhuang, M Tan, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 38 | 2021 |
| Efficientdm: Efficient quantization-aware fine-tuning of low-bit diffusion models Y He, J Liu, W Wu, H Zhou, B Zhuang arXiv preprint arXiv:2310.03270, 2023 | 36 | 2023 |
| Bivit: Extremely compressed binary vision transformers Y He, Z Lou, L Zhang, J Liu, W Wu, H Zhou, B Zhuang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 35 | 2023 |
| Ecoformer: Energy-saving attention with linear complexity J Liu, Z Pan, H He, J Cai, B Zhuang NeurIPS Spotlight, 2022 | 32 | 2022 |
| MiniCache: KV Cache Compression in Depth Dimension for Large Language Models A Liu, J Liu, Z Pan, Y He, G Haffari, B Zhuang arXiv preprint arXiv:2405.14366, 2024 | 28 | 2024 |
| Tfmq-dm: Temporal feature maintenance quantization for diffusion models Y Huang, R Gong, J Liu, T Chen, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 23 | 2024 |
| Sharpness-aware quantization for deep neural networks J Liu, J Cai, B Zhuang arXiv preprint arXiv:2111.12273, 2021 | 21 | 2021 |
| Dynamic Focus-aware Positional Queries for Semantic Segmentation H He, J Cai, Z Pan, J Liu, J Zhang, D Tao, B Zhuang CVPR 2023, 2022 | 20 | 2022 |
| Mesa: A memory-saving training framework for transformers Z Pan, P Chen, H He, J Liu, J Cai, B Zhuang arXiv preprint arXiv:2111.11124, 2021 | 20 | 2021 |
| Deep Transferring Quantization MT Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu European Conference on Computer Vision (ECCV) 2020, 2020 | 18* | 2020 |
Bohan ZhuangPI of ZIP Lab; Zhejiang UniversityVerified email at zju.edu.cn