Hyunwoong Bae

Info

• M.S./Ph.D. Student in M.IN.D Lab (SNU) (Advisor : Taesup Moon)
• Name : HyunWoong Bae
• E-mail : hwbae0326@snu.ac.kr
• Research : Image Restoration, Efficient inference in generative model, Multimodal

Education

• [2022.09 ~ Current] M.S. / Ph.D. student
  • Interdisciplinary Program in Artificial Intelligence, Seoul National University(SNU)
• [2016.03 ~ 2022.08] BS student
  • Summa Cum Laude, Department of Semiconductor System Engineering, Sungkyunkwan University(SKKU)

Publications

• [Under review] Hyunwoong Bae, Jaeseok Byun, Yongwoo Lee, and Taesup Moon, Efficient and Robust SEM Image Denoising for Wafer Defect Inspection, Microscopy and Microanalysis
  • Project Page
• [APSys ‘23] Woohyeon Baek, Jonghyun Bae, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, and Jae W. Lee, “Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline”, 14th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys), Seoul, South Korea, August 2023.

Awards and Honors

• [2024.09 ~ 2025.02] Scholarship of Jung-hun Foundation
• [2022.09 ~ 2024.08] Scholarship of Artificial Intelligence Graduate School Program (Seoul National University)
• [2022.08] SKKU Summa Cum Laude (성균 최우등 졸업상), SKKU
• [2019, 2021] Dean’s List, College of Information and Communication Engineering, SKKU
• [2020.01] 2nd Price in Co-Deep Learning Project, Center for Innovative Higher Education, SKKU
  • Project : Wireless dust measurement device for a drone
  • [Patent] 무인 비행체용 미세먼지 측정장치
    • Application number: 10-2020-0055702
    • Publication number 10-2021-0137650
• [2016.03 ~ 2022.08] Full Scholarship of Samsung Semiconductor, SKKU

Experiences

• [2023.09 ~ 2023.12 ] Teaching Assistant (Basics of Deep Learning)
  • Dept. of Electrical and Computer Engineering, Seoul National University
• [2022.01 ~ 2022.02] Undergraduate research assistant, Architecture and Code Optimization Lab
  • Project : Optimize Deep Learning pipeline of NVIDIA DALI by balancing IO & CPU
  • Paper : “Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline” APSys 2023
• [2021.07 ~ 2021.08] Intern, Samsung (Device Solution Divison)
  • Project : Examine & patch kernel of AndroTrace, which trace and analyze android IO
• [2020.10 ~ 2021.11] Undergraduate research assistant, Scalable Architecture Lab
  • Project : System for real-time Collaborative Intelligence, which has unstable network