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个人简介
Seokchan Song is currently working toward an M.S. degree with the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea. His current research interests include low-power SoC design, especially focused on mixed-mode deep neural network accelerators and hardware-friendly algorithms for deep learning. Song received a B.S. degree in electrical engineering from KAIST in 2021. He is a Graduate Student Member of IEEE. Contact him at ssong98@kaist.ac.kr.
研究兴趣
论文共 9 篇作者统计合作学者相似作者
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Gwangtae Park,Seokchan Song, Haoyang Sang,Dongseok Im,Donghyeon Han,Sangyeob Kim, Hongseok Lee,Hoi-Jun Yoo
2024 IEEE International Solid-State Circuits Conference (ISSCC) (2024): 374-376
VLSI Technology and Circuitspp.1-2, (2023)
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2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS) (2022)
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2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)pp.501-501, (2022)
2021 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)pp.1-3, (2021)
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