Hi, my name is Woonghee Lee and I am a researcher specializing in deep learning applications applied to various types of data, including image, signal, and text datasets. My current primary research objective is to develop a benchmark system for testing deep learning applications, as well as to manipulate the knowledge possessed by deep learning models. Currently, I am working as a researcher at Korea Institute of Korea Research. I earned my Ph.D. from the Department of Computer Science & Engineering at Hanyang University. My doctoral advisor was Younghoon Kim.

International Journals

  • Adversarial Attacks on Medical Segmentation Model via Transformation of Feature Statistics
  • Lee, Woonghee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim, and Younghoon Kim
    Applied Sciences 14, no. 6 (2024): 2576.
  • Enhancing CT Segmentation Security against Adversarial Attack: Most Activated Filter Approach
  • Lee, Woonghee, and Younghoon Kim
    Applied Sciences 14, no. 5 (2024): 2130.
  • Automated Clinical Impression Generation for Medical Signal Data Searches
  • Lee, Woonghee, Jaewoo Yang, Doyeong Park, and Younghoon Kim
    Applied Sciences 13, no. 15 (2023): 8931.
  • Model Interpretation Considering Both Time and Frequency Axes Given Time Series Data
  • Lee, Woonghee, Gayeon Kim, Jeonghyeon Yu, and Younghoon Kim
    Applied Sciences 12, no. 24 (2022): 12807.
  • Contextual Imputation With Missing Sequence of EEG Signals Using Generative Adversarial Networks
  • Lee, Woonghee, Jaeyoung Lee, and Younghoon Kim
    IEEE Access 9 (2021): 151753-151765.
  • Forecasting solar power using long-short term memory and convolutional neural networks
  • Lee, Woonghee, Keonwoo Kim, Junsep Park, Jinhee Kim, and Younghoon Kim
    IEEE Access 6 (2018): 73068-73080. (cited by 64 times)

    International Conferences

  • Interactive sleep stage labelling tool for diagnosing sleep disorder using deep learning
  • Lee, Woonghee, and Younghoon Kim
    In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 183-186. IEEE, 2018. (43% acceptance rate for oral)
  • ActiveMotif: Interactive motif discovery with human feedback
  • Kim, Younghoon, Woonghee Lee, and Keonwoo Kim
    In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2736-2739. IEEE, 2017.

    Domestic Journals & Conferences (Korea)

  • 5 Journal Papers (KCI) & 18 Poster and Oral Presentations (2016-current)
  • Teaching Experiences


    Spring 2022, Spring 2023
    Hanyang University ERICA Campus

    Logical Foundations of Programming

    • a course for students who major in computer science to help translation of natural language into logical language which can be understood by computer
    • taught first-order logica which is the logical language as well as proof skills of problems written in first-order logic


    Spring 2020
    Hanyang University ERICA Campus

    Artificial Intelligence and Future Society

    • a course for STEM students to learn Python and machine learning algorithms as well as corresponding frameworks

    Teaching assistant

    Hanyang University ERICA Campus

    Class names

    • Logical Foundations of Programming
    • Big Data Processing
    • Data Base

    Invited Talks

    Invited Lecturer

    Jul. 12th, 2024
    Korea Society of Computer Information

    Review service

    Peer reviewer

    27th International Conference on Medical Image Computing and Computer Assisted Intervention

    Peer reviewer

    26th International Conference on Medical Image Computing and Computer Assisted Intervention

    Project experience

    참여 연구원

    Jan. 2022 - Dec. 2022
    협약기관: (주) 메디밸류

    딥러닝 기반 치과재료구매 온라인상점 검색 시스템

    • 관계형 데이터베이스 기반 검색 시스템으로부터, NoSQL 기반 검색 엔진 ElasticSearch 사용을 위한 메뉴얼 작성과 사용자의 검색 시나리오에 따른 쿼리 작성
    • 멀티모달 데이터를 이용한 텍스트문 요약 연구 (언더리뷰)

    연구 보조원

    Aug. 2020 - Jul. 2021
    협약기관: 정보통신기획평가원

    동대문 패션 브랜드 샵들과 API 연동된, 동남아시아 타겟 인공지능 패션/스타일 추천 플랫폼의 개발

    • 소셜 네트워크 상 패션 이미지 데이터 수집 및 전처리

    참여 연구원

    Jun. 2018 - Dec. 2020
    협약기관: 서울대학교

    웹스케일 거대 복잡형 데이터 통합 및 추론 원천기술 개발

    • 시계열 데이터에서 발생하는 결측 데이터의 특성 예측과 생성을 위한 심층 대립 생성 모델 연구

    참여 연구원

    Oct. 2015 - Sep. 2018
    협약기관: (주)케이디티

    태양광발전 운영효율 향상을 위한 통합관리 시스템 개발

    • 딥러닝 기술을 이용한 태양광 발전량 예측 연구로 국제 저널 출판
    • 태양광 설비 A/S출장을 위하여, 서버 상에서 최단 경로 근사 해를 사용자에게 반환해주는 API 개발
    • 한정 된 예산 최적화 길찾기 연구로 국내 저널 출판

    참여 연구원

    Dec. 2015 - Nov. 2017
    협약기관: 삼성전자(주)

    (삼성미래)정보 네트워크에서의 정보 이동 경로 및 출처 추적

    • 소셜 네트워크 상에서 가장 고밀도 부분 네트워크를 찾아내는 알고리즘
    • 맵리듀스를 이용한 상기 연구 국내 저널 출판
    • 상기 알고리즘을 이용한 시각화 인터페이스 개발

    Grants & Awards

    2018 - Research assitant scholarship, Hanyang University, Korea
    2016 - 2018 - Brain Korea 21 Plus scholarship, Hanyang University, Korea
    2015 - 2017 - HY-iN scholarship, Hanyang University, Korea

    Skills & Proficiency

    PyTorch & TensorFlow

    Scikit-learn & pandas & NumPy & SciPy & Matplotlib