About
Sunwoo Yu
School of Undergraduate Studies, College of Transdisciplinary studies
Daegu Gyeongbuk Institute of Science and Technology (DGIST)
Daegu Gyeongbuk Institute of Science and Technology (DGIST)
Research Interest
- Deep Learning
- Representation Learning
- Efficient Data Compression
Personal Data
Phone +82-10-5762-2205
E-mail ysw0920@dgist.ac.kr
Major Computer Science
GPA 3.98/4.3 Major GPA 4.18/4.3
E-mail ysw0920@dgist.ac.kr
Major Computer Science
GPA 3.98/4.3 Major GPA 4.18/4.3
Education
Daegu Gyeongbuk Institute of Science and Technology (DGIST) Mar.2020 — Present
School of Undergraduate Studies, College of Transdisciplinary studies
Bachelor Student
University of California, Los Angeles (UCLA) Jun.2023 — Aug.2023
Exchange Program
Publications
* Equal contributor
- Daewon Kim, Sunwoo Yu, Jaehyeon Lee and Seonghun Lee, “Development of a Driver Monitoring System Using the Capacitive Steering Wheel and FMCW Radar”, The Korean Institute of Communications and Information Sciences (KICS) Conference (Fall), Nov. 2024. (Expected)
- Jaehyeon Lee*, Sunwoo Yu*, Daewon Kim, and Kiwon Choi, “Multi-patching: life-log Classification with the Reconstructed Representation of Multivariate Time Series”, The 15th International Conference on ICT Convergence (ICTC 2024), pp. 798-803, Oct. 2024.
Research Experience
• Undergraduate Group Research Program (UGRP) Feb.2024 — Dec.2024
at Department of Brain Sciences, DGIST( Prof. Hankyoung Choe, DGIST ABC-DGIST)
✓ Design of a radar dataset collection system for subjects’ sleep in polysomnography experiments
✓ predicting Heart/Respiratory Rate with radar data & predicting sleep stage using representation from HR/RR
• Undergraduate Research Assistant Sep.2023 — Nov.2024
at Department of Electrical Engineering & Computer Science, DGIST( Prof. Hoonsung Chwa, DGIST RTCL)
✓ PyTorch Camp : Learning how to use pytorch by implementing below paper
(LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Tasks)
✓ Project : Real-Time streaming system using foveated rendering
✓ Experience of editing PyTorch & OpenCV source code