| Towards Understanding Regularization in Batch Normalization P Luo*, X Wang*, W Shao*, Z Peng (*Equal Contribution) ICLR 2019, 2018 | 191 | 2018 |
| 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 | 63 | 2021 |
| 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 | 55 | 2019 |
| 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 | 55 | 2019 |
| 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 | 28 | 2019 |
| 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 | 22 | 2019 |
| 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 | 18 | 2019 |
| Convolution-weight-distribution assumption: Rethinking the criteria of channel pruning Z Huang*, W Shao*, X Wang, L Lin, P Luo NeurIPS 2021, arXiv preprint arXiv:2004.11627, 2020 | 15 | 2020 |
| Rethinking the pruning criteria for convolutional neural network Z Huang, W Shao, X Wang, L Lin, P Luo Advances in Neural Information Processing Systems 34, 16305-16318, 2021 | 14 | 2021 |
| Channel equilibrium networks for learning deep representation W Shao, S Tang, X Pan, P Tan, X Wang, P Luo ICML 2020, arXiv preprint arXiv:2003.00214, 2020 | 13 | 2020 |
| Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution Z Zhaoyang, S Wenqi, G Jinwei, W Xiaogang, L Ping ICML 2021, 2021 | 8 | 2021 |
| Dynamic Token Normalization Improves Vision Transformer W Shao, Y Ge, Z Zhang, X Xu, X Wang, Y Shan, P Luo ICLR 2022, arXiv preprint arXiv:2112.02624, 2021 | 4 | 2021 |
| CO^ 3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving R Chen, Y Mu, R Xu, W Shao, C Jiang, H Xu, Z Li, P Luo arXiv preprint arXiv:2206.04028, 2022 | 2 | 2022 |
| 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 | 1 | 2021 |
| Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space W Shao, X Zhao, Y Ge, Z Zhang, L Yang, X Wang, Y Shan, P Luo ECCV 2022, arXiv preprint arXiv:2207.03036, 2022 | | 2022 |
| Data processing method and apparatus, and storage medium P Luo, L Wu, P Zhanglin, R Zhang, J Ren, W Shao US Patent App. 17/352,219, 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 |
| Channel Equilibrium Networks W Shao, S Tang, X Pan, P Tan, X Wang, P Luo | | |
Ping Luo (羅平)Assistant Professor, The University of Hong Kong在 hku.hk 的電子郵件地址已通過驗證
