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Youngdo Lee

Master Student

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lyd0531@kaist.ac.kr


About Me

I am a M.S. student at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Jaegul Choo. Prior to this, I received my B.S. degree in Computer Science and Mathematics.



Research Interests

My interest encompasses various areas related to artificial intelligence. Specifically, my interest includes but is not limited to:

  • Generative Models: GAN, Diffusion, etc.
  • Computer Vision: Image generation, Image captioning, Computational photography, etc.
  • Reinforcement Learning



Publications

    • Selected
    • All
  1. KCC & ICMLW
    Abstraction and Reasoning Challenge with Decision Transformer
    Jaehyun Park, Jaegyun Im, Youngdo Lee, Donghyeon Shin, Sejin Kim, Sundong Kim* (*Corresponding authors)
    Korea Computer Congress (KCC), 2023.
    PDF ICMLW version

  2. KCC & ICMLW
    Abstraction and Reasoning Challenge with Decision Transformer
    Jaehyun Park, Jaegyun Im, Youngdo Lee, Donghyeon Shin, Sejin Kim, Sundong Kim* (*Corresponding authors)
    Korea Computer Congress (KCC), 2023.
    PDF ICMLW version


Projects

    • Selected
    • All
  1. KAIST
    Gaze-Corrected EG3D: Overcoming Camera-Facing Gaze Bias in EG3D Scene Generation
    Enhanced EG3D model with improved gaze alignment
    KAIST CS479 Fall 2023: Machine Learning for 3D Data (A0)
    PDF Poster Code

  2. NCSOFT
    Deep Melody Generation via Attention-based LSTM
    Generation of full melody from the short melody segment by Attention-based LSTM
    NCSOFT Corp., AI Center Speech AI Lab, Music AI Team, Summer Internship 2022
    Private (the policies of company)

  3. KAIST
    Gaze-Corrected EG3D: Overcoming Camera-Facing Gaze Bias in EG3D Scene Generation
    Enhanced EG3D model with improved gaze alignment
    KAIST CS479 Fall 2023: Machine Learning for 3D Data (A0)
    PDF Poster Code

  4. Kakao X Neetpeople
    LinkedNeet: A Network for Unemployed Youth
    LinkedNeet is a platform designed to connect NEET youths, enabling them to identify themselves, establish connections with others, and build communities.
    Kakao Impact Foundation X Neetpeople, 2023
    Poster Demo Code

  5. KAIST
    Blood Flows Modeling by Physics-Informed Neural Networks
    Simple 1D Cardiovascular Flows Modeling using PiNNs equipped with Positional Encoding
    KAIST MAS480C Fall 2022: Introduction to Scientific Machine Learning (A+)
    PDF Code

  6. KAIST
    Unsupervised Mixture Modeling of Daily Averaged Temperature Datasets
    Mixture of Sinusoidal Regressions by EM Algorithm for daily temperatures of 2 cities
    KAIST MAS473 Fall 2022: Introduction to AI with Mathematics (A+)
    PDF Code

  7. NCSOFT
    Deep Melody Generation via Attention-based LSTM
    Generation of full melody from the short melody segment by Attention-based LSTM
    NCSOFT Corp., AI Center Speech AI Lab, Music AI Team, Summer Internship 2022
    Private (the policies of company)


Education

  • Korea Advanced Institute of Science and Technology (KAIST)
    [Aug. 2024 - Present]
    M.S. Student in Artificial Intelligence

  • Korea Advanced Institute of Science and Technology (KAIST)
    [Mar. 2020 - Aug. 2024]
    B.S. degrees in Computer Science and Mathematical Science



Work Experience

  • IBS (Institute for Basic Science)
    Data Science Group, Research Intern
    [Dec. 2022 - Jun. 2023]
    <Abstraction and Reasoning> project advised by Prof. Meeyoung Cha and Prof. Sundong Kim
  • NCSOFT
    Speech AI Lab, Music AI Team, Intern
    [Jul. 2022 - Aug. 2022]
    Developed baseline project for deep learning-based Melody Generation



Awards & Honors

  • KAIST Dean's List Award
    [Fall 2022, Spring 2023]
    Awarded to the top 3% of academic performance in KAIST
  • KAIST Presidential Fellowship
    A program that supports a small number of top students to grow as future global leaders in science and technology



Teaching

  • Teaching Assistant
    • CS101: Introduction to Programming, Spring 2024