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meongju0o0/README.md

Juyeong Shin, Bachelor Candidate

Education

  • Department of Computer Science and Engineering, Kyung Hee University, Republic of Korea, Bachelor Candidate, 2019.03 - 2026.02
    • GPA: 3.6 / 4.3
  • Gumi High School Science Department, Republic of Korea, High School Diploma, 2016.03 - 2019.02

Work Experience

  • 2022.04 - 2026.02: Data & Knowledge Engineering Labortory, Kyung Hee University, Research Intern
  • 2022.09 - 2022.12: T.G.WinG Machine Learning Study, Lecturer
  • 2022.06 - 2022.07: Samsung SDS Machine Learning Lecture, Production of Practice Materials

Projects

Major Projects

  • Development of Graph DBMS Technology for Intelligent High Speed Processing of Large Graphs, 2021 - 2024
    • Supervision: Institute of Information & Communications Technology Planning & Evaluation
    • Role: Research Intern (2022 - 2024)
      • Investigate existing studies for large graph integration
      • Supports large graph learning engine design

Minor Projects

  • Foody Flavor, 2024
    • Python, bs4, selenium, PyTorch, PostgreSQL, Hadoop, Spark
  • Distributed GraphSAGE Training using DistDGL and K8s, 2023
    • Ubuntu(WSL), NFS, Docker, K8s, Python, PyTorch, DGL
  • Jekyll Minimal Mistakes Blog Customizing, 2022 -
    • Ruby, HTML, CSS, JavaScript, Firebase, GitHub
  • IoT Doorlock with Elevator, 2018
    • C, Arduino, Serial, SPI, RFID, BlueTooth

Publications

Awards and Honors

  • 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

  • Vector Database / Parallel Computing / Distributed Computing

Study Interests

  • Web Application Service / Computer Vision / Natural Language Processing / Graph Convolutional Network

Participations

Conference

  • 2023 Korea Software Congress
  • 2022 Korea Software Congress

Pinned

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

    Forked from mmistakes/minimal-mistakes

    meongju0o0's personal blog

    HTML 1 1

  2. DistMHAug DistMHAug Public

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

    Python

  3. 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 2

  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. distdgl-on-docker distdgl-on-docker Public

    Dist-DGL running on wsl2, minikube with single machine

    Python 1