Bohong Chen

According to our database, Bohong Chen authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training.

Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion.

Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

1xN Pattern for Pruning Convolutional Neural Networks.

Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

2022

ARM: Any-Time Super-Resolution Method.

Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training.

Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji

CoRR, 2021

Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion.

Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian

CoRR, 2021

1×N Block Pattern for Network Sparsity.

Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji

CoRR, 2021