Jaehyeon Moon
I am a combined M.S. & Ph.D. student at Yonsei University, advised by Prof. Bumsub Ham.
My research interests focus on network compression for efficient deep learning models.
Education
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Yonsei University, Seoul, Korea
Combined M.S. & Ph.D. in Electrical and Electronic Engineering
Advisor: Bumsub Ham
Mar. 2020 – Present -
Yonsei University, Seoul, Korea
B.S. in Electrical and Electronic Engineering
GPA: 4.06 / 4.30
Magna Cum Laude
Mar. 2016 – Feb. 2020
Publications
First Author
Co-author
(*: Equal contribution)
Experience
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Research Engineer, Articron (TIPS Project)
Aug. 2023 – Present
- Developed efficient quantization and pruning methods for deploying deep neural networks on compute-in-memory (CIM) chips.
- Collaborated with hardware engineers to improve accuracy-efficiency trade-offs for real-world deployment.
Patents
International
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Quantization Apparatus and Method for Artificial Neural Networks and Image Processing Device Having the Same
U.S. Patent Application No. 18/456,020, Aug. 2023
Bumsub Ham, Jaehyeon Moon, Dohyung Kim, and Junyong Cheon
Domestic
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Token-Based Quantization Apparatus and Method for Vision Transformers
(in Korean)
Korean Patent Application No. 10-2024-0137421, Oct. 2024
Bumsub Ham, Dohyung Kim, Junghyup Lee, Jaehyeon Moon, Geon Lee, and Jeimin Jeon
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Quantization Apparatus and Method for Artificial Neural Networks
(in Korean)
Korean Patent Application No. 10-2023-0116857, Sep. 2023
Bumsub Ham, Dohyung Kim, Junghyup Lee, Jeimin Jeon, and Jaehyeon Moon
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Quantization Apparatus and Method for Artificial Neural Networks and Image Processing Device Having the Same
(in Korean)
Korean Patent Application No. 10-2023-0072090, Jun. 2023
Bumsub Ham, Jaehyeon Moon, Dohyung Kim, and Junyong Cheon
Scholarships
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National Science & Technology Scholarships
Sep. 2018 – Feb. 2020