Wenqi Shao
Wenqi Shao
Verified email at link.cuhk.edu.hk
Title
Cited by
Cited by
Year
Towards understanding regularization in batch normalization
P Luo*, X Wang*, W Shao*, Z Peng (*equal contribution)
ICLR 2019, 2018
1082018
SSN: Learning Sparse Switchable Normalization via SparsestMax
W Shao, J Li, J Ren, R Zhang, X Wang, P Luo
International Journal of Computer Vision, 2019
362019
SSN: Learning Sparse Switchable Normalization via SparsestMax
W Shao*, T Meng*, J Li, R Zhang, Y Li, X Wang, ...
CVPR 2019, arXiv preprint arXiv:1903.03793, 2019
362019
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Z Zhaoyang, L Jingyu, S Wenqi, P Zhanglin, Z Ruimao, W Xiaogang, ...
ICCV 2019, 2019
162019
Differentiable Dynamic Normalization for Learning Deep Representation
P Luo, P Zhanglin, S Wenqi, Z Ruimao, R Jiamin, W Lingyun
ICML 2019, http://proceedings.mlr.press/v97/luo19a.html, 2019
142019
Learning Efficient Detector with Semi-supervised Adaptive Distillation
S Tang, L Feng, W Shao, Z Kuang, W Zhang, Y Chen
BMVC 2019, arXiv preprint arXiv:1901.00366, 2019
82019
Convolution-weight-distribution assumption: Rethinking the criteria of channel pruning
Z Huang, W Shao, X Wang, P Luo
arXiv preprint arXiv:2004.11627, 2020
62020
Channel equilibrium networks for learning deep representation
W Shao, S Tang, X Pan, P Tan, X Wang, P Luo
ICML2020, arXiv preprint arXiv:2003.00214, 2020
52020
What Makes for End-to-End Object Detection?
P Sun, Y Jiang, E Xie, W Shao, Z Yuan, C Wang, P Luo
International Conference on Machine Learning, 9934-9944, 2021
12021
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
Z Zhaoyang, S Wenqi, G Jinwei, W Xiaogang, L Ping
arXiv preprint arXiv:2106.02295. (ICML 2021), 2021
2021
Image processing method and apparatus, computer device, and computer storage medium
W Shao, T Meng, R Zhang, P Luo, L Wu
US Patent App. 17/170,149, 2021
2021
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
W Shao, H Yu, Z Zhang, H Xu, Z Li, P Luo
arXiv preprint arXiv:2105.06423, 2021
2021
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