MEMBER
Junseo Joe
Ph.D. Student,
Department of Electrical Engineering,
Pohang University of Science and Technology (POSTECH)
Contact Information
Address : #308, Science Building II, POSTECH, Pohang, Korea
Email : joejs[at]postech.ac.kr
Office : +82-(0)54-279-5587
Educational Backgrounds
[2021/02~Present] Ph.D. Candidate in Electrical Engineering, POSTECH, Pohang, Korea
[2018/09~2021/02] M.S. in Electrical Engineering, POSTECH, Pohang, Korea
[2014/03~2018/08] B.S. in Electrical Engineering, POSTECH, Pohang, Korea
Professional Experiences
[2017/06~Present] Research Assistant, Dept. Electrical Engineering, POSTECH, Pohang, Korea
Research Interests
Intelligent Mobile System-on-Chip
Deep Learning
ASIC/FPGA Implementation
Approximation Computing
Publications
International Journal Papers
Junseo Jo, Jaeha Kung, and Youngjoo Lee*, "Approximate LSTM computing for energy-efficient speech recognition," MDPI Electronics, vol. 9, no. 12:2004, pp. 1-13, Nov. 2020.
International Conference Proceedings
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)
Junseo Joe, Jaeha Kung, Sunggu Lee, and Youngjoo Lee*, "Similarity-based LSTM architecture for energy-efficient edge-level speech recognition," ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), Lausanne, Switzerland, July 2019.
Junseo Joe, Seokha Hwang, Sunggu Lee, and Youngjoo Lee*, "Multi-mode LSTM network for energy-efficient speech recognition," International SoC Design Conference (ISOCC), Daegu, Korea, Nov. 2018, pp. 133-134.
Domestic Journal Papers
변영훈, 조준서, 이영주 “효율적 메모리 관리를 통한 모바일 CNN 가속기의 최적화,” 전자공학회지, vol. 45, no. 1, pp. 28-34, Jan. 2018.
Domestic Conference Proceedings
조준서, 이영주*, "캡슐 네트워크의 동적 라우팅을 위한 보상 프루닝 기법," 대한전자공학회 하계종합학술대회, Aug. 2020.
조준서, 변영훈, 이영주, “인공 신경망의 데이터 정밀도와 인식률 간의 관계에 대한 연구,” 제 25회 한국반도체학술대회, Feb. 2018.
Patents
Youngjoo Lee, Young-Seok Kim, and Junseo Jo, "Compensation pruning method optimized for low power capsule network operation and device thereof," PCT/KR2021/003776.
이영주, 김영석, 조준서, "저전력 캡슐 네트워크 동작에 최적화된 보상 프루닝 방법 및 장치," 출원번호: 10-2021-0039290.
Honors
Distinguished Design Award, IEEE Asian Solid-State Circuits Conference (A-SSCC), 2019.