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2020 – today
- 2023
[i15]Xiaohan Ding, Mike Horning, Eugenia H. Rho:
Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discourse. CoRR abs/2301.08832 (2023)- [i14]Uma Gunturi, Xiaohan Ding, Eugenia H. Rho:
ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization. CoRR abs/2303.09402 (2023) - 2022
- [j1]Xiaohan Ding, Nan Liu:
Effects of pricing schemes and platform types on platform-based logistics services. Electron. Commer. Res. Appl. 56: 101217 (2022) - [c12]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CVPR 2022: 568-577 - [c11]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. CVPR 2022: 11953-11965 - [c10]Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko:
A Likelihood Ratio Based Domain Adaptation Method for E2E Models. ICASSP 2022: 6762-6766 - [i13]Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko:
A Likelihood Ratio based Domain Adaptation Method for E2E Models. CoRR abs/2201.03655 (2022) - [i12]Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou, Jungong Han, Guiguang Ding, Jian Sun:
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs. CoRR abs/2203.06717 (2022) - [i11]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding:
Re-parameterizing Your Optimizers rather than Architectures. CoRR abs/2205.15242 (2022) - 2021
- [c9]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Diverse Branch Block: Building a Convolution as an Inception-Like Unit. CVPR 2021: 10886-10895 - [c8]Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-Style ConvNets Great Again. CVPR 2021: 13733-13742 - [c7]Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV 2021: 4490-4500 - [i10]Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-style ConvNets Great Again. CoRR abs/2101.03697 (2021) - [i9]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Diverse Branch Block: Building a Convolution as an Inception-like Unit. CoRR abs/2103.13425 (2021) - [i8]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition. CoRR abs/2105.01883 (2021) - [i7]Xiaohan Ding, Tianxiang Hao, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. CoRR abs/2107.14444 (2021) - [i6]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CoRR abs/2112.11081 (2021) - 2020
- [i5]Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. CoRR abs/2007.03260 (2020)
2010 – 2019
- 2019
- [c6]Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai:
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. AAAI 2019: 8360-8367 - [c5]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. CVPR 2019: 4943-4953 - [c4]Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. ICCV 2019: 1911-1920 - [c3]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. ICML 2019: 1607-1616 - [c2]Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. NeurIPS 2019: 6379-6391 - [i4]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure. CoRR abs/1904.03837 (2019) - [i3]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. CoRR abs/1905.04748 (2019) - [i2]Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. CoRR abs/1908.03930 (2019) - [i1]Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. CoRR abs/1909.12778 (2019) - 2018
- [c1]Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang:
Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. AAAI 2018: 6797-6804
Coauthor Index
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