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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

Juyeong Shin's Projects

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

distmhaug icon distmhaug

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

dmlc-core icon dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

graphsaint-nrw-erw icon graphsaint-nrw-erw

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

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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