Xiaohan Ding
Xiaohan Ding
Verified email at mails.tsinghua.edu.cn
Title
Cited by
Cited by
Year
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
X Ding, Y Guo, G Ding, J Han
International Conference on Computer Vision (ICCV) 2019, 2019
1342019
Centripetal sgd for pruning very deep convolutional networks with complicated structure
X Ding, G Ding, Y Guo, J Han
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
802019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
X Ding, G Ding, X Zhou, Y Guo, J Liu, J Han
NeurIPS 2019, 2019
682019
Auto-balanced filter pruning for efficient convolutional neural networks
X Ding, G Ding, J Han, S Tang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
592018
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
X Ding, G Ding, Y Guo, J Han, C Yan
International Conference on Machine Learning, 1607-1616, 2019
522019
RepVGG: Making VGG-style ConvNets Great Again
X Ding, X Zhang, N Ma, J Han, G Ding, J Sun
CVPR 2021, 2021
39*2021
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning
Y Guo, G Ding, J Han, X Ding, S Zhao, Z Wang, C Yan, Q Dai
Proceedings of the AAAI Conference on Artificial Intelligence 33, 8360-8367, 2019
72019
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
X Ding, T Hao, J Tan, J Liu, J Han, Y Guo, G Ding
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
6*2021
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
X Ding, X Zhang, J Han, G Ding
arXiv preprint arXiv:2105.01883, 2021
52021
Diverse Branch Block: Building a Convolution as an Inception-like Unit
X Ding, X Zhang, J Han, G Ding
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
52021
Manipulating identical filter redundancy for efficient pruning on deep and complicated CNN
X Ding, T Hao, J Han, Y Guo, G Ding
arXiv preprint arXiv:2107.14444, 2021
12021
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