Skip to content
View meongju0o0's full-sized avatar
😂
workaholic
😂
workaholic

Block or report meongju0o0

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
meongju0o0/README.md

Juyeong Shin, Master Candidate

Education

  • Department of Artificial Intelligence, Kyung Hee University, Republic of Korea, Master Candidate, 2026.03 - 2028.02
  • Department of Computer Science and Engineering, Kyung Hee University, Republic of Korea, Bachelor, 2019.03 - 2026.02

Work Experience

  • 2026.03 - 2028.02: Data & Knowledge Engineering Labortory, Kyung Hee University, Master Student
  • 2022.03 -- 2026.02: Data & Knowledge Engineering Laboratory, Kyung Hee University, Undergraduate Intern

Projects

Lab Projects

  • Development of Graph DBMS Technology for Intelligent High Speed Processing of Large Graphs, 2021 - 2024
    • Supervision: Institute of Information & Communications Technology Planning & Evaluation (IITP)
    • Role: Research Intern (2022 - 2024)
      • Investigate existing studies for large graph integration
      • Supports large graph learning engine design
  • POLARIS: 딥러닝 기반의 범용 절차적 SQL 최적화 시스템 기술 연구, 2026 -
    • Supervision: National Research Foundation of Korea (NRF)
    • Role: Participation Researcher (2026 -)
  • 지식그래프 취약점 진단 기반 SCM 자동 생성 및 시뮬레이션 프레임워크, 2026 --
    • Supervision: Korea Advanced Institute of Science and Technology (KAIST)
    • Role: Participation Researcher (2026 --)

Toy Projects

  • Emergency Room Comprehensive Situation Information Service, 2025
    • Dart, Flutter, Dart Frog, Python, PostgreSQL, LangChain, Gemma2
  • Domestic Stock Followup Service(Stock Up), 2024
    • Python, bs4, selenium, node.js, crontab, MySQL, Hadoop, Spark, Github Flow, AWS EC2, AWS RDS
  • Distributed GraphSAGE Training using DistDGL and K8s, 2023
    • Ubuntu(WSL), NFS, Docker, K8s, Python, PyTorch, DGL
  • IoT Doorlock with Elevator, 2018
    • C, Arduino, Serial, SPI, RFID, BlueTooth

Currently Managing Projects

Publications

Domestic Conference

Awards and Honors

  • Participation Award in Undergraduate Paper Contest
    • Korea Software Congress, 2025
  • Excellence Student Award in Yong-In Studies Class
    • Yong-In Special City, 2023
  • Excellence Award in Undergraduate Paper Contest
    • Korea Software Congress, 2023
  • Top Award in Undergraduate Paper Contest
    • Korea Software Congress, 2022

Research Interests

  • Database Management Systems / Large Language Models / Knowledge Graph

Study Interests

  • Natural Language Processing / Vector Database / Graph Neural Networks

Participation

Conference

  • 2026 Korea Computer Congress
  • 2025 Korea Software Congress
  • 2023 Korea Software Congress
  • 2022 Korea Software Congress

Club Activity

  • 2025.03 - 2027.02: Buddha-Dhamma Religion Club
    • 2025.08 - 2026.01: Club Leader
  • 2019.03 - 2026.02: RETURN Academic Club
    • 2024.09 - 2024.12: RETURN Algorithm Study, Study Leader
  • 2022.09 - 2023.02: T.G.WinG Academic Club
    • 2022.09 - 2022.12: T.G.WinG Machine Learning Study, Study Leader
  • 2024.03 - 2026.02: Lighthouse Volunteering Club
    • Volunteer Hours: 74

Pinned Loading

  1. meongju0o0.github.io meongju0o0.github.io Public

    Forked from mmistakes/minimal-mistakes

    meongju0o0's personal blog

    SCSS 1 1

  2. GraphSAINT-NRW-ERW GraphSAINT-NRW-ERW Public

    Official DGL Implementation of "GraphSAINT-NRW, ERW: Subgraph Sampling Techniques using Random Walk Reflecting Node Degree". KSC 2022

    Python 1

  3. DistMHAug DistMHAug Public

    Official DGL Implementation of "Distributed Graph Data Augmentation Technique for Graph Neural Network". KSC 2023

    Python

  4. Efficient-Sampling-Techniques-for-Embedding-Large-Graphs Efficient-Sampling-Techniques-for-Embedding-Large-Graphs Public

    DGL Implementation of "Efficient Sampling Techniques for Embedding Large Graphs". KCC 2022

    Python

  5. UC-DIVERISI UC-DIVERISI Public

    Official PyTorch Implementation of "A Personalized News Recommendation System with User-Controlled Diversity". KSC 2025

    Python