Undergrad

A collection of my undergraduate research experiences, course projects, and reports.

Research Experience

  • Optimization and Statistical Inference Lab (OSI Lab), GSAI, KAIST, ROK — Spring 2020 – Summer 2021

    • Advisor: Se-Young Yun (Graduate School of AI, KAIST)
    • Collaborators: SeongYoon Kim (Industrial and System Engineering, KAIST), Namgyu Ho (Intern, OSI Lab), Minchan Jeong (Graduate School of AI, KAIST). Also briefly collaborated with Cheolhyeong Lee (currently post-doctoral associate of Center for Data Science at NYU).
    • Research topic: Toward a Better Understanding of Dynamics of Deep Neural Networks and SGD

  • Artificial Intelligence & Machine Learning Lab (AIM Lab), School of EE, KAIST, ROK — Fall 2019 – Summer 2021

    • Advisor: Chang D. Yoo, Gwangsu Kim (School of Electrical Engineering, KAIST)
    • Collaborator: Matt Olfat (UC Berkeley & Citadel)
    • Research topic: Can Fairness in Principal Components be Obtained, Even in High Dimensions?

  • Biomedical Mathematics Group (BIMAG), IBS, ROK — Spring 2021 – Summer 2021

    • Advisor: Jae Kyoung Kim (Dept. of Mathematical Sciences, KAIST)
    • Collaborators: Seokmin Ha, Dae Wook Kim (Dept. of Mathematical Sciences, KAIST)
    • Research topic: Applying machine learning methodologies to plant circadian clock model inference

  • Computational Intelligence for Software Engineering Lab (COINSE Lab), School of Computing, KAIST, ROK — Fall 2020 – Summer 2021

    • Advisor: Shin Yoo (School of Computing, KAIST)
    • Collaborators: Chani Jung, Yoo Hwa Park, Dongmin Lee, Juyeon Yoon (School of Computing, KAIST)
    • Research topic: SWAY for Decision Space of Permutations with Case Study on Test Case Prioritisation

  • Individual Study, Dept. of Mathematical Sciences, KAIST, ROK — Summer 2019 – Fall 2019

    • Advisor: Andreas Holmsen (Dept. of Mathematical Sciences, KAIST)
    • Study topic 1: Asymptotics for the number of C₄’s in a graph under certain condition
    • Study topic 2: Maximum number of columns in a 0-1 2n × n matrix with no induced 2 × 2 identity matrix

  • Mathematics Research and Education Program (R&E), Changwon Science High School (CSHS), ROK — Mar 2015 – Feb 2017

    • Advisor: Seungkyun Cha (Division of Mathematics, CSHS), Jisoo Byun (Dept. of Mathematics Education, Kyungnam University)
    • Collaborators: Minyoung Hwang, Cheolwon Bae (Division of Mathematics, CSHS)
    • Research topic: Some Loci in the Animation of a Sangaku Diagram

Course Projects

  • AI602: Advanced Deep Learning — Fall 2021

    • Instructor: Prof. Sung Ju Hwang (Kim Jaechul Graduate School of AI, KAIST)
    • Collaborators: Wonho Zhung (Dept. of Chemistry, KAIST), Minchan Jeong (Kim Jaechul Graduate School of AI, KAIST)
    • Project topic: Incorporating Latent Space into 3D Molecular Generative Model

  • CS454: Artificial Intelligence based Software Engineering — Fall 2020

    • Instructor: Prof. Shin Yoo (School of Computing, KAIST)
    • Collaborators: Chani Jung, Yoo Hwa Park, Dongmin Lee (School of Computing, KAIST)
    • Project topic: SWAY for Decision Space of Permutations, with Case Study on Test Case Prioritisation

  • CS376: Machine Learning — Fall 2018

    • Instructor: Prof. Eunho Yang (School of Computing, KAIST; now at Graduate School of AI, KAIST)
    • Collaborators: Youngjin Jin (School of Electrical Engineering, KAIST), Minsung Park (Dept. of Biological Sciences, KAIST), Hyunjin Kim (School of Computing, KAIST)
    • Project topic: Building a predictive model for predicting Gotham city’s apartment prices

  • MAS480(B): Introduction to Mathematical Biology — Fall 2018

    • Instructor: Prof. Jaekyung Kim (Dept. of Mathematical Sciences, KAIST)
    • Collaborator: Seokmin Ha (Dept. of Mathematical Sciences, KAIST)
    • Project topic: Reverse Analysis Problem of Two-gene System in the Perspective of Adaptation

  • CS492(I): Special Topics in Computer Science — Fall 2020

    • Instructors: Prof. Seunghoon Hong, Prof. Alice Oh (School of Computing, KAIST)
    • Collaborators: Minyoung Hwang, Junseok Choi (School of Computing, KAIST)
    • Project topic: Deep learning based solution for semi-supervised classification on Naver Fashion Dataset, and Korean Open-Domain QA task on Naver KorQuAD-Open dataset (2nd, 1st place in leaderboard, respectively)

  • CS470: Introduction to Artificial Intelligence — Fall 2019

    • Instructor: Prof. Seunghoon Hong (School of Computing, KAIST)
    • Collaborators: Youngjin Jin (School of Electrical Engineering, KAIST), Minsung Park (Dept. of Biological Sciences, KAIST)
    • Project topic: Implementing a model for music genre classification problem

Reports

  1. Junghyun Lee. “Optimal Transport Theory and Neural Network Optimization”, MAS583(C): Topics in Mathematics , 2023 Fall.
  2. Junghyun Lee. “Bayesian Perspective for the Theory of Deep Learning”, AI602: Advanced Deep Learning, 2021 Fall.
  3. Wonho Zhung, Minchan Jeong, Junghyun Lee. “Incorporating Latent Space into 3D Molecular Generative Model”, AI602: Advanced Deep Learning, 2021 Fall.
  4. Junseok Choi, Minyoung Hwang, Junghyun Lee. “Semi-Supervised Learning Task on Naver Fashion Dataset”, CS492(I): Special Topics in Computer Science , 2020 Fall.
  5. Minyoung Hwang, Junseok Choi, Junghyun Lee. “Korean Open-Domain QA Task on Naver KorQuAD-Open Dataset”, CS492(I): Special Topics in Computer Science , 2020 Fall.
  6. Junghyun Lee, Chani Jung, Yoo Hwa Park, Dongmin Lee. “SWAY for Decision Space of Permutations with Case Study on Test Case Prioritisation”, CS454: Artificial Intelligence Based Software Engineering, 2020 Fall. (later published at SSBSE 2021)
  7. Junghyun Lee. “Lecture Note 5: Randomized Algorithms”, CS500: Design and Analysis of Algorithm, 2020 Spring.
  8. Junghyun Lee. “Critical Review on Theoretical Aspects of Binary Decision Diagram, with a Focus in Variable Ordering”, CS402: Introduction to Logic for Computer Science, 2020 Spring.
  9. Seokmin Ha, Junghyun Lee. “Reverse Analysis Problem of Two-gene System in the Perspective of Adaptation”, MAS480(B): Topics in Mathematics , 2018 Fall.