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Yong Guo
Publications
- 2023
- [j64]Haolin Pan, Yong Guo, Qinyi Deng, Haomin Yang, Jian Chen, Yiqun Chen:
Improving fine-tuning of self-supervised models with Contrastive Initialization. Neural Networks 159: 198-207 (2023) - [c51]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan:
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CVPR Workshops 2023: 2248-2258 - 2022
- [j54]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6501-6516 (2022) - [i30]Yong Guo, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Jian Chen, Mingkui Tan:
Towards Lightweight Super-Resolution with Dual Regression Learning. CoRR abs/2207.07929 (2022) - [i29]Haolin Pan, Yong Guo, Qinyi Deng, Haomin Yang, Yiqun Chen, Jian Chen:
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization. CoRR abs/2208.00238 (2022) - [i28]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR abs/2210.07634 (2022) - 2021
- [j49]Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
Content-aware convolutional neural networks. Neural Networks 143: 657-668 (2021) - [j45]Yixin Liu, Yong Guo, Jiaxin Guo, Luoqian Jiang, Jian Chen:
Conditional Automated Channel Pruning for Deep Neural Networks. IEEE Signal Process. Lett. 28: 1275-1279 (2021) - [i22]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. CoRR abs/2102.10301 (2021) - [i21]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. CoRR abs/2103.00219 (2021) - [i19]Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
Content-Aware Convolutional Neural Networks. CoRR abs/2106.15797 (2021) - 2020
- [j41]Yong Guo, Jian Chen, Qing Du, Anton van den Hengel, Qinfeng Shi, Mingkui Tan:
Multi-way backpropagation for training compact deep neural networks. Neural Networks 126: 250-261 (2020) - [j38]Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen:
Hierarchical Neural Architecture Search for Single Image Super-Resolution. IEEE Signal Process. Lett. 27: 1255-1259 (2020) - [c41]Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. CVPR 2020: 5406-5415 - [c40]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. ICML 2020: 3822-3831 - [i14]Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen:
Hierarchical Neural Architecture Search for Single Image Super-Resolution. CoRR abs/2003.04619 (2020) - [i13]Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution. CoRR abs/2003.07018 (2020) - [i11]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. CoRR abs/2007.07197 (2020) - [i9]Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen:
Conditional Automated Channel Pruning for Deep Neural Networks. CoRR abs/2009.09724 (2020) - [i8]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. CoRR abs/2010.04947 (2020) - 2019
- [j30]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Trans. Multim. 21(11): 2726-2737 (2019) - [c35]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. NeurIPS 2019: 735-747 - [i7]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. CoRR abs/1903.11250 (2019) - [i6]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR abs/1910.14488 (2019) - 2018
- [c32]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. AAAI 2018: 3134-3141 - [c26]Jian Chen, Acai Tan, Zhengxuan Li, Yong Guo, Yongjia Yin, Qianwu Zhang, Yingxiong Song, Yingchun Li, Min Wang:
Adaptive Equalization Enabled 25Gb/s NRZ Modulation Based on 10-G Class Optics for Upstream Burst-Mode Transmission. OFC 2018: 1-3 - [i4]Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan:
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. CoRR abs/1809.07099 (2018) - 2017
- [c21]Zhengxuan Li, Yingchun Li, Jian Chen, Yingxiong Song, Tingting Xu, Yong Guo, Yongjia Yin, Min Wang:
Requirements on resolution and sampling jitter of ADC in 10G-class optics and MLSD based NG-EPON. OFC 2017: 1-3 - 2016
- [j20]Chao Han, Yun-Kun Tan, Jin-Hui Zhu, Yong Guo, Jian Chen, Qingyao Wu:
Online Feature Selection of Class Imbalance via PA Algorithm. J. Comput. Sci. Technol. 31(4): 673-682 (2016) - [i1]Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi:
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. CoRR abs/1611.01773 (2016)
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