| FPGA-based accelerator for long short-term memory recurrent neural networks Y Guan, Z Yuan, G Sun, J Cong 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 629-634, 2017 | 242 | 2017 |
| Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization Z Yuan, C Xue, Y Chen, Q Wu, G Sun European conference on computer vision, 191-207, 2022 | 169* | 2022 |
| Post-training quantization on diffusion models Y Shang, Z Yuan, B Xie, B Wu, Y Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 145 | 2023 |
| Rptq: Reorder-based post-training quantization for large language models Z Yuan, L Niu, J Liu, W Liu, X Wang, Y Shang, G Sun, Q Wu, J Wu, B Wu arXiv preprint arXiv:2304.01089, 2023 | 74 | 2023 |
| A survey on efficient inference for large language models Z Zhou, X Ning, K Hong, T Fu, J Xu, S Li, Y Lou, L Wang, Z Yuan, X Li, ... arXiv preprint arXiv:2404.14294, 2024 | 73 | 2024 |
| Pd-quant: Post-training quantization based on prediction difference metric J Liu, L Niu, Z Yuan, D Yang, X Wang, W Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 66 | 2023 |
| Llm inference unveiled: Survey and roofline model insights Z Yuan, Y Shang, Y Zhou, Z Dong, Z Zhou, C Xue, B Wu, Z Li, Q Gu, ... arXiv preprint arXiv:2402.16363, 2024 | 56 | 2024 |
| Pb-llm: Partially binarized large language models Y Shang, Z Yuan, Q Wu, Z Dong arXiv preprint arXiv:2310.00034, 2023 | 45 | 2023 |
| S2DNAS: Transforming static CNN model for dynamic inference via neural architecture search Z Yuan, B Wu, G Sun, Z Liang, S Zhao, W Bi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 41 | 2020 |
| Asvd: Activation-aware singular value decomposition for compressing large language models Z Yuan, Y Shang, Y Song, Q Wu, Y Yan, G Sun arXiv preprint arXiv:2312.05821, 2023 | 36 | 2023 |
| Reducing overfitting in deep convolutional neural networks using redundancy regularizer B Wu, Z Liu, Z Yuan, G Sun, C Wu Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 34 | 2017 |
| Wkvquant: Quantizing weight and key/value cache for large language models gains more Y Yue, Z Yuan, H Duanmu, S Zhou, J Wu, L Nie arXiv preprint arXiv:2402.12065, 2024 | 25 | 2024 |
| NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators Z Yuan, J Liu, X Li, L Yan, H Chen, B Wu, Y Yang, G Sun Science China Information Sciences 64 (6), 160407, 2021 | 25 | 2021 |
| Latency-aware spatial-wise dynamic networks Y Han, Z Yuan, Y Pu, C Xue, S Song, G Sun, G Huang Advances in Neural Information Processing Systems 35, 36845-36857, 2022 | 23 | 2022 |
| Latency-aware Unified Dynamic Networks for Efficient Image Recognition Y Han, Z Liu, Z Yuan, Y Pu, C Wang, S Song, G Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 18 | 2024 |
| SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models H Duanmu, Z Yuan, X Li, J Duan, X Zhang, D Lin arXiv preprint arXiv:2405.06219, 2024 | 14 | 2024 |
| Mim4dd: Mutual information maximization for dataset distillation Y Shang, Z Yuan, Y Yan Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| Quest: Low-bit diffusion model quantization via efficient selective finetuning H Wang, Y Shang, Z Yuan, J Wu, J Yan, Y Yan arXiv preprint arXiv:2402.03666, 2024 | 13 | 2024 |
| Using data compression for optimizing FPGA-based convolutional neural network accelerators Y Guan, N Xu, C Zhang, Z Yuan, J Cong International workshop on advanced parallel processing technologies, 14-26, 2017 | 13 | 2017 |
| Crane: mitigating accelerator under-utilization caused by sparsity irregularities in cnns Y Guan, G Sun, Z Yuan, X Li, N Xu, S Chen, J Cong, Y Xie IEEE Transactions on Computers 69 (7), 931-943, 2020 | 9 | 2020 |
Guangyu SunSchool of Integrated Circuits, Peking University確認したメール アドレス: pku.edu.cn