Wonyeong Lee

Wonyeong Lee

Ph.D. Student, Department of Computer Science

Yonsei University

50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea

I am a Ph.D. student in the Department of Computer Science at Yonsei University, advised by Prof. Jinkyu Lee. My research lies at the intersection of real-time systems, intermittent computing, and on-device machine learning — building systems that deliver timely and accurate inference under tight energy and latency constraints.

Education

Mar. 2026 – Present
Yonsei University Department of Computer Science Ph.D. Student · Advisor: Jinkyu Lee
Seoul, Korea
Aug. 2024 – Feb. 2026
Sungkyunkwan University M.S. in Computer Science and Engineering Thesis: Edge-Server Collaborative Inference System based on Masked Autoencoders · Advisor: Jinkyu Lee
Suwon, Korea
Aug. 2021 – Aug. 2024
Sungkyunkwan University B.S. in Computer Science and Engineering
Suwon, Korea
Mar. 2018 – Aug. 2024
Sungkyunkwan University B.S. in Mechanical Engineering
Suwon, Korea

Research Interests

Publications

  1. LEAF: Layer-Wise Energy-Adaptive Framework for Multi-DNN Real-Time Intermittent Systems. Hyunwoo Koo, Wonyeong Lee, and Jinkyu Lee. The 24th International Conference on Pervasive Computing and Communications (PerCom), Pisa, Italy, March 2026.
  2. CARTEL: Consensus Adapting Real-Time and Efficient Logging. Seunghoon Lee, Wonyeong Lee, Seungyeon Cho, Seongtae Lee, and Jinkyu Lee. The 46th IEEE Real-Time Systems Symposium (RTSS), pp. 461–473, Boston, MA, USA, December 2025.
  3. Masked Autoencoders are Robust Task Offloaders for Timely and Accurate Inference. Wonyeong Lee, Seunghoon Lee, Seungyeon Cho, Hyunwoo Koo, Hoon Sung Chwa, and Jinkyu Lee. The 38th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 13835–13842, Hangzhou, China, October 2025.

Awards and Honors

Teaching Experience