MEMBER

Hyunhoon Lee, Ph. D.

Contact Information

• Current Affiliation: Samsung Advanced Institute of Technology

• Email : lee2h[at]postech.ac.kr

Educational Backgrounds

• [2020/02~2024/02] Ph.D. in Electrical Engineering, POSTECH, Pohang, Korea

• [2018/02~2020/02] M.S. in Electrical Engineering, POSTECH, Pohang, Korea

• [2014/03~2018/02] B.S. in Electronics Engineering, Kyungpook National University, Daegu, Korea

Professional Experiences

• [2024/03~Present] Senior Engineer, Samsung Advanced Institute of Technology

• [2018/02~2024/02] Research Assistant, Dept. Electrical Engineering, POSTECH, Pohang, Korea

Research Interests

• Intelligent Mobile System-on-Chip

• Digital Signal Processing Hardware Architecture

• ASIC/FPGA Implementation

• Deep Learning

Publications (with EPIC LAB)

• International Journal Papers

  1. Hyunhoon Lee and Youngjoo Lee*, "Optimizations of privacy-preserving DNN for low-latency inference on encrypted data," IEEE Access, vol. 11, pp. 104775-104788, 2023.

  2. Hyunhoon Lee, Young-Seok Kim, Mijung Kim, and Youngjoo Lee*, "Low-cost network scheduling of 3D-CNN processing for embedded action recognition," IEEE Access, vol. 9, pp. 83901-83912, June 2021.

• International Conference Proceedings

  1. Hyunhoon Lee+, Hyeokjun Kwon+, and Youngjoo Lee*, "A 2.7~13.3 uJ/boot/slot flexible RNS-CKKS processor in 28nm CMOS technology for FHE-based privacy-preserving computing," IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, CA, USA, Feb. 2024. 

  2. Gyuhyun Jung, Hyeokjun Kwon, Hyunhoon Lee, and Youngjoo Lee*, "Fast estimation of NTT/INTT accelerator costs for RNS-based homomorphic encryption," International SoC Design Conference (ISOCC), accepted for presentation.

  3. Seungsik Moon, Hyunhoon Lee, Younghoon Byun, Jongmin Park, Junseo Joe, Seokha Hwang, Sunggu Lee, and Youngjoo Lee*, "FPGA-based sparsity-aware CNN accelerator for noise-resilient edge-level image recognition," IEEE Asian Solid-State Circuits Conference (A-SSCC), Macao, China, Nov. 2019, pp. 205-208. (Distinguished Design Award) 

  4. Hyunhoon Lee, Younghoon Byun, Seokha Hwang, Sunggu Lee, and Youngjoo Lee*, "Fixed-point quantization of 3D convolutional Neural Networks for energy-efficient action recognition," International SoC Design Conference (ISOCC), Daegu, Korea, Nov. 2018, pp. 129-130. 

• Patents

  1. Youngjoo Lee, Young-Seok Kim, Hyunhoon Lee, and Gunho Park, "Method and device for high-speed image recognition using 3D CNN," US17/422,161.

  2. 이영주, 김성목, 이현훈, "심근관류 자기공명 영상 분석 장치 및 방법," 등록번호: 10-2401111, 출원번호: 10-2020-0010633.

  3. Youngjoo Lee, Young-Seok Kim, Hyunhoon Lee, and Gunho Park, "Method and apparatus for high-speed image recognition using 3D convolutional neural network," PCT/KR2020/000647.

  4. 이영주, 김영석, 박군호, 이현훈, "동적으로 3D CNN을 이용하는 고속 영상 인식 방법 및 장치," 등록번호: 10-2263005, 출원번호: 10-2019-0005200.

  5. 이영주, 김영석, 박군호, 이현훈, "3D CNN을 이용한 고속 영상 인식 방법 및 장치," 등록번호: 10-2263017, 출원번호: 10-2019-0005188.

Awards and Honors

• Student Travel Grant Award, IEEE International Solid-State Circuits Conference (ISSCC), 2024.

• Special Award (기업특별상), 21st Korea Semiconductor Design Contest, 2020.

• Distinguished Design Award, IEEE Asian Solid-State Circuits Conference (A-SSCC), 2019.