Hanwoong Ryu received his BS degree in Computer Engineering from Kwangwoon University in Seoul, South Korea. He is currently pursuing the MS degree in computer engineering at Kwangwoon University.

His research interests include Large Language Models (LLM), deep learning, computer vision, and time series analysis. He was a summer trainee at the Electronics and Telecommunications Research Institute (ETRI) from July to August 2024.

Publications

Journal Articles

  • Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models
    Jiseok Yang, Jinseok Kim, Hanwoong Ryu, Jiwoon Lee, Cheolsoo Park, MDPI Electronics, June 2024

  • Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques
    Jiseok Yang, Hanwoong Ryu, Jiwoon Lee, Jihong Lee, Cheolsoo Park, Journal of Broadcast Engineering, Jan 2024

Conference Papers

  • Zero-shot Human Action Recognition Using Multimodal Large Language Models
    류한웅, 원지환, 양지석, 박윤태, 양근보, 박철수, 대한전자공학회 추계학술대회, Nov 2024

  • Transformer based on Spiking Neural Network for EMG Signal Classification
    박윤태, 이지운, 원지환, 이정환, 류한웅, 박종길, 박철수, 대한전자공학회 추계학술대회, Nov 2024

  • Can We Edit the Eyes? A Comparative Analysis of Knowledge Editing in Vision and Language Modules of Multimodal Models
    성진, 류한웅, 박지윤, 권오욱, 한국인공지능학회 추계학술대회, Nov 2024

  • Look and Edit: Visual-Guided Multimodal Editing with Retrieval-Enhanced Counterfactuals
    성진, 박지윤, 류한웅, 임수종, 한국인공지능학회 추계학술대회, Nov 2024

  • A Reinforcement Learning Approach to Determine the Calibration Interval of a Blood Pressure Prediction Model
    윤성민, 이지홍, 류한웅, 박철수, 대한의용생체공학회 추계학술대회, Nov 2023

  • Optimization and Advancement of 1D Convolution-based RepVGG Model for Efficient Blood Pressure Prediction
    류한웅, 윤성민, 박철수, 대한의용생체공학회 추계학술대회, Nov 2023

  • Metaverse: Research Based Prediction Model of the Car Price in view of the Machine-learning Method
    Jiseok Yang, Jinseok Kim, Jiwoon Lee, Hanwoong Ryu, et al., IEEE MetaCom 2023, June 2023

Awards

  • Best Paper Award (우수 논문상)
    “A reinforcement Learning Approach to Determine the Calibration Interval of a Blood Pressure Prediction Model”, 대한의용생체공학회 추계학술대회, Nov 2023

  • Excellence Award (한국정보처리학회 회장상)
    제 22회 임베디드 소프트웨어 경진대회 산학 프로젝트 부문, Nov 2024

Experience

  • Summer Trainee - Electronics and Telecommunications Research Institute (ETRI)
    July 2024 - August 2024
Interests
  • Large Language Models (LLM)
  • Deep Learning
  • Computer Vision
  • Time Series Analysis
  • Multimodal Learning
  • Blood Pressure Prediction
  • Zero-shot Learning
Education
  • MS in Computer Engineering, 2026

    Kwangwoon University

  • BS in Computer Engineering, 2024

    Kwangwoon University

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