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ORCIDBohong Chen 0001
Person information
- affiliation: Xiamen University, China
Other persons with the same name
- Bohong Chen 0002 — Stevens Institute of Technology, Hoboken, NJ, USA
- Bohong Chen 0003 — Guangxi University for Nationalities, Nanning, Guangxi, China
- Bohong Chen 0004
![[0009-0007-1036-7737]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0007-1036-7737")
— Zhejiang University, Hangzhou, Zhengjiang, China
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2020 – today
- 2023
[j3]Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji:
1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 3999-4008 (2023)- [j2]Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji:
Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10478-10487 (2023) - [j1]Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11108-11119 (2023) - 2022
- [c1]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. ECCV (19) 2022: 254-270 - [i4]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. CoRR abs/2203.10812 (2022) - 2021
- [i3]Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji:
1×N Block Pattern for Network Sparsity. CoRR abs/2105.14713 (2021) - [i2]Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian:
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. CoRR abs/2107.06916 (2021) - [i1]Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. CoRR abs/2109.05432 (2021)
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