| 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 | 696 | 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 | 135 | 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 | 109 | 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 | 106 | 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 | 61 | 2022 |
| 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 | 37 | 2021 |
| 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 | 29 | 2024 |
| 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 | 28 | 2021 |
| 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 | 24 | 2023 |
| Ecoformer: Energy-saving attention with linear complexity J Liu, Z Pan, H He, J Cai, B Zhuang NeurIPS Spotlight, 2022 | 18 | 2022 |
| Deep Transferring Quantization MT Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu European Conference on Computer Vision (ECCV) 2020, 2020 | 16* | 2020 |
| Conditional automated channel pruning for deep neural networks Y Liu, Y Guo, J Guo, L Jiang, J Chen IEEE Signal Processing Letters 28, 1275-1279, 2021 | 15 | 2021 |
| 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, 2024 | 14 | 2024 |
| 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 | 12 | 2021 |
| Sharpness-aware quantization for deep neural networks J Liu, J Cai, B Zhuang arXiv preprint arXiv:2111.12273, 2021 | 11 | 2021 |
| 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 | 9 | 2023 |
| 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 | 8 | 2022 |
| Single-path bit sharing for automatic loss-aware model compression J Liu, B Zhuang, P Chen, C Shen, J Cai, M Tan TPAMI, 2023 | 6* | 2023 |
| 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 | 4 | 2023 |
| Focusformer: Focusing on what we need via architecture sampler J Liu, J Cai, B Zhuang arXiv preprint arXiv:2208.10861, 2022 | 4 | 2022 |
Bohan ZhuangDirector of ZIP LabVerified email at monash.edu
