Aojun Zhou
Aojun Zhou
Sensetime
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TitleCited byYear
Incremental network quantization: Towards lossless cnns with low-precision weights
A Zhou, A Yao, Y Guo, L Xu, Y Chen
ICLR2017, 2017
3842017
Explicit loss-error-aware quantization for low-bit deep neural networks
A Zhou, A Yao, K Wang, Y Chen
Proceedings of the IEEE conference on computer vision and pattern …, 2018
272018
Deep neural network compression with single and multiple level quantization
Y Xu, Y Wang, A Zhou, W Lin, H Xiong
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
152018
Adversarial Robustness vs Model Compression, or Both?
S Ye, K Xu, S Liu, H Cheng, JH Lambrechts, H Zhang, A Zhou, K Ma, ...
arXiv preprint arXiv:1903.12561, 2019
4*2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
A Zhou*, D Li*, A Yao, equal contribution, ICCV2019
arXiv preprint arXiv:1908.03888, 2019
1*2019
Towards Improving Generalization of Deep Networks via Consistent Normalization
A Zhou*, Y Ma*, Y Li, X Zhang, P Luo
https://arxiv.org/abs/1909.00182, 2019
2019
Deeply-supervised Knowledge Synergy
D Sun, A Yao, A Zhou, H Zhao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2019
SnapQuant: A Probabilistic and Nested Parameterization for Binary Networks
K Wang, H Zhao, A Yao, A Zhou, D Sun, Y Chen
2018
Deeply-supervised Knowledge Synergy Supplementary Materials
D Sun, A Yao, A Zhou, H Zhao
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