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Jinho Han Yongsu Lee Sungpill Choi Minseo Kim
Jaeeun Jang Jinmook Lee Jaehyuk Lee Changhyeon Kim
Kwonjoon Lee Kwantae Kim Jinsu Lee Jihee Lee
Kyoung-Rog Lee Sanghoon Kang



Jinmook Lee

   Ph.D. Student

¤ıResearch Interest
- Machine learning based SoC Design
¤ıContact Information

#1233, Dept. of Electrical Engineering and Computer Science (E3-2)
KAIST, 373-1, Guseong-dong, Yuseong-gu, Daejeon, 305-701, Republic of Korea
Tel: +82-42-350-5468
Fax: +82-42-350-3410
Email: jinmooklee@kaist.ac.kr

¤ıEducation
2016. 3 ~  Ph.D. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2016. 2      M.S. in EE, Korea Advanced Institute of Science and Technology (KAIST)
2014. 2      B.S. in EE, Hanyang University
2010. 2      Seoryeong High School
¤ıPublications
- International Journal Papers
UNPU: An Energy-Efficient Deep Neural Network Accelerator with Fully-Variable Weight Bit Precision
Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Oct. 2018
An Energy-efficient Speech Extraction Processor for Robust User Speech Recognition in Mobile Head-mounted Display Systems
Jinmook Lee, Seongwook Park, Injoon Hong, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II: Express Briefs, May. 2016
- International Conference Papers
An Energy-Efficient Unified Deep Neural Network Accelerator with Fully-Variable Weight Precision for Mobile Deep Learning Applications
Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo
Hot Chips: Symposium on High Performance Chips, Aug. 2018
A 50.6TOPS/W Energy-Efficient Unified Deep Neural-Network Accelerator with 1-to-16b Fully Variable Bit Precision
Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo
International Solid-State Circuits Conference (ISSCC), Feb. 2018
A 21mW Low-power Recurrent Neural Network Accelerator with Quantization Tables for Embedded Deep Learning Applications
Jinmook Lee, Dongjoo Shin, and Hoi-Jun Yoo
Asian Solid-State Circuits Conference (ASSCC), Nov. 2017
An 8.3mW 1.6Msamples/s Multi-modal Event-driven Speech Enhancement Processor for Robust Speech Recognition in Smart Glasses
Jinmook Lee, Seongwook Park, Injoon Hong, and Hoi-Jun Yoo
European Solid-State Circuits Conference (ESSCIRC), Oct. 2016
A 3.13nJ/sample Energy-efficient Speech Extraction Processor for Robust Speech Recognition in Mobile Head-mounted Display Systems
Jinmook Lee, Seongwook Park, Injoon Hong, and Hoi-Jun Yoo
International Symposium on Circuit and Systems (ISCAS), May. 2015

#1233, School of Electrical Engineering, KAIST, 291 Daehak-ro (373-1 Guseong-dong), Yuseong-gu,
Daejeon 34141, Republic of Korea / Tel. +82-42-350-8068 / Fax. +82-42-350-3410 / Mail: sslmaster@kaist.ac.kr
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