About Me

I received master degree in MAC Lab, School of Informatics, Xiamen University, China.

Under the supervision of Prof. Rongrong Ji, Prof. Liujuan Cao and Dr. Mingbao Lin.

Biography

• [2023.07-Now] Algorithmic Engineer, DJI Automotive, Shenzhen, China

• [2022.08-2023.06] AI Engineer Intern, OPPO Research Institute Y Lab, advised by Prof. Lei Zhang and Dr. Xindong Zhang, Shenzhen, China

• [2022.01-2022.07] Computer Vision Research Intern, Tencent Youtu Lab, Shanghai, China

• [2020.09-2023.06] Master of Computer Science, School of Infomatics, Xiamen University, China

• [2016.09-2020.06] Bachelor of Computer Science, School of Infomatics, Xiamen University, China

Research Interests

• Computer Vision

• Efficient Edge AI Computing

Publications

Journal:

• Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao✉. Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. TPAMI, 2023. [pdf][arXiv][code]

• Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji✉. Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. TPAMI, 2023. [pdf][arXiv][code]

• 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. TPAMI, 2022. [pdf][arXiv][code]

Conference:

• Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao✉, Rongrong Ji. ARM: Any-Time Super-Resolution Method. ECCV, 2022. [pdf|supp][arXiv][code]

Activities

• Conference Reviewer: CVPR 2022, ECCV 2022, ICCV 2023

Contact

• Institution: School of Informatics, Xiamen University, China

• E-mail: bhchen [at] stu.xmu.edu.cn