| Binary neural networks: A survey H Qin, R Gong, X Liu, X Bai, J Song, N Sebe Pattern Recognition 105, 107281, 2020 | 544 | 2020 |
| Differentiable soft quantization: Bridging full-precision and low-bit neural networks R Gong, X Liu, S Jiang, T Li, P Hu, J Lin, F Yu, J Yan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 513 | 2019 |
| Brecq: Pushing the limit of post-training quantization by block reconstruction Y Li, R Gong, X Tan, Y Yang, P Hu, Q Zhang, F Yu, W Wang, S Gu arXiv preprint arXiv:2102.05426, 2021 | 372 | 2021 |
| Forward and backward information retention for accurate binary neural networks H Qin, R Gong, X Liu, M Shen, Z Wei, F Yu, J Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 357 | 2020 |
| A free lunch from ANN: Towards efficient, accurate spiking neural networks calibration Y Li, S Deng, X Dong, R Gong, S Gu International conference on machine learning, 6316-6325, 2021 | 192 | 2021 |
| Towards unified int8 training for convolutional neural network F Zhu, R Gong, F Yu, X Liu, Y Wang, Z Li, X Yang, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 189 | 2020 |
| Qdrop: Randomly dropping quantization for extremely low-bit post-training quantization X Wei, R Gong, Y Li, X Liu, F Yu arXiv preprint arXiv:2203.05740, 2022 | 116 | 2022 |
| Robustart: Benchmarking robustness on architecture design and training techniques S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ... arXiv preprint arXiv:2109.05211, 2021 | 101 | 2021 |
| Diversifying sample generation for accurate data-free quantization X Zhang, H Qin, Y Ding, R Gong, Q Yan, R Tao, Y Li, F Yu, X Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 97 | 2021 |
| Outlier suppression: Pushing the limit of low-bit transformer language models X Wei, Y Zhang, X Zhang, R Gong, S Zhang, Q Zhang, F Yu, X Liu Advances in Neural Information Processing Systems 35, 17402-17414, 2022 | 88 | 2022 |
| Outlier suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling X Wei, Y Zhang, Y Li, X Zhang, R Gong, J Guo, X Liu arXiv preprint arXiv:2304.09145, 2023 | 70 | 2023 |
| Distribution-sensitive information retention for accurate binary neural network H Qin, X Zhang, R Gong, Y Ding, Y Xu, X Liu International Journal of Computer Vision 131 (1), 26-47, 2023 | 51 | 2023 |
| Mqbench: Towards reproducible and deployable model quantization benchmark Y Li, M Shen, J Ma, Y Ren, M Zhao, Q Zhang, R Gong, F Yu, J Yan arXiv preprint arXiv:2111.03759, 2021 | 50 | 2021 |
| Rotation consistent margin loss for efficient low-bit face recognition Y Wu, Y Wu, R Gong, Y Lv, K Chen, D Liang, X Hu, X Liu, J Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 50 | 2020 |
| Mixmix: All you need for data-free compression are feature and data mixing Y Li, F Zhu, R Gong, M Shen, X Dong, F Yu, S Lu, S Gu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 38* | 2021 |
| Once quantization-aware training: High performance extremely low-bit architecture search M Shen, F Liang, R Gong, Y Li, C Li, C Lin, F Yu, J Yan, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 35 | 2021 |
| Balanced binary neural networks with gated residual M Shen, X Liu, R Gong, K Han ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 34 | 2020 |
| 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 | 33 | 2023 |
| Extremely low-bit convolution optimization for quantized neural network on modern computer architectures Q Han, Y Hu, F Yu, H Yang, B Liu, P Hu, R Gong, Y Wang, R Wang, ... Proceedings of the 49th International Conference on Parallel Processing, 1-12, 2020 | 32 | 2020 |
| Exploring the relationship between architectural design and adversarially robust generalization A Liu, S Tang, S Liang, R Gong, B Wu, X Liu, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29* | 2023 |
Xianglong Liu (刘祥龙）Beihang UniversityVerified email at buaa.edu.cn
