Ruihao Gong (龚睿昊)
Ruihao Gong (龚睿昊)
SenseTime
在 nlsde.buaa.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1102019
Binary neural networks: A survey
H Qin, R Gong, X Liu, X Bai, J Song, N Sebe
Pattern Recognition 105, 107281, 2020
902020
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
512020
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
292020
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
152020
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
82021
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
82020
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, ...
49th International Conference on Parallel Processing-ICPP, 1-12, 2020
62020
Ir-net: Forward and backward information retention for highly accurate binary neural networks
H Qin, R Gong, X Liu, Z Wei, F Yu, J Song
52019
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
32021
Efficient bitwidth search for practical mixed precision neural network
Y Li, W Wang, H Bai, R Gong, X Dong, F Yu
arXiv preprint arXiv:2003.07577, 2020
32020
Dms: Differentiable dimension search for binary neural networks
Y Li, R Gong, F Yu, X Dong, X Liu
International Conference on Learning Representations, 2020
12020
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
2021
Real World Robustness from Systematic Noise
Y Wang, Y Li, R Gong
arXiv preprint arXiv:2109.00864, 2021
2021
Robust: Benchmarking Robustness on Architecture Design and Training Techniques
S Tang, R Gong, W Yan, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ...
2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Y Li, S Deng, X Dong, R Gong, S Gu
arXiv preprint arXiv:2106.06984, 2021
2021
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
2021
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization
Y Li, F Zhu, R Gong, M Shen, F Yu, S Lu, S Gu
arXiv preprint arXiv:2011.09899, 2020
2020
DMS: Differentiable Dimension Search for Binary Neural Networks Download PDF
Y Li, R Gong, F Yu, X Dong, X Liu
Supplementary Material: Towards Unified INT8 Training for Convolutional Neural Network
F Zhu, R Gong, F Yu, X Liu, Y Wang, Z Li, X Yang, J Yan
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