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

    1. 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

  1. 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)

  2. 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.

  3. 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

  1. 변영훈, 조준서, 이영주 “효율적 메모리 관리를 통한 모바일 CNN 가속기의 최적화,” 전자공학회지, vol. 45, no. 1, pp. 28-34, Jan. 2018.

  • Domestic Conference Proceedings

  1. 조준서, 이영주*, "캡슐 네트워크의 동적 라우팅을 위한 보상 프루닝 기법," 대한전자공학회 하계종합학술대회, Aug. 2020.

  2. 조준서, 변영훈, 이영주, “인공 신경망의 데이터 정밀도와 인식률 간의 관계에 대한 연구,” 제 25회 한국반도체학술대회, Feb. 2018.

  • Patents

    1. Youngjoo Lee, Young-Seok Kim, and Junseo Jo, "Compensation pruning method optimized for low power capsule network operation and device thereof," PCT/KR2021/003776.

    2. 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.