- Computer Science & Engineering, Kyung Hee University
- Software Engineer, Data & Knowledge Engineering Labortory, DKE Lab.
- Email: [email protected] / [email protected]
- 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
- 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
- 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
- Life Balancing Application for Android, 2023
- Kotlin, Android Studio
- 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
- Git Clone All, Aug. 2023
- batch, sh, jq, curl, git
- How many loves me, Jun. 2023
- HTML, CSS, JavaScript
- Find not friend (for github), May. 2023
- Python, requests, bs4, html5lib
- Vigilante Service Table, Apr. 2021
- C++, iostream, fstream, algorithm, vector
- Gaussian Distribution Calculator, May. 2017
- C, stdio, stdlib
- Juyeong Shin, Young-Koo Lee. (2023). Distributed Data Augmentation Technique for Graph Neural Network. Journal of Korea Software Congress, Pages 1800 - 1802
- Implementation: DistMHAug
- Juyeong Shin, Young-Koo Lee. (2022). GraphSAINT-NRW, ERW: Subgraph Sampling Techniques using Random Walk Reflecting Node Degree. Journal of Korea Software Congress, Pages 1308 - 1310
- Implementation: GraphSAINT-NRW-ERW
- Kijin Kwon, Juyeong Shin, Young-Koo Lee. (2022). Efficient Sampling Techniques for Embedding Large Graphs. Journal of Korea Computer Congress, Pages 1223 - 1225
- Implementation: Efficient-Sampling-Techniques-for-Embedding-Large-Graphs
- Excellence Student Award in Yong-In Studies Class
- Yong-In Metropolitan City, 2023
- Excellence Award in Undergraduate Paper Contest
- Korea Software Congress, 2023
- Top Award in Undergraduate Paper Contest
- Korea Software Congress, 2022
- Graph Convolutional Network / Graph Data Augmentation / Distributed Training
- Computer Vision / Natural Language Processing / Graph Neural Network / Distributed Data Processing / Web Application Service
- 2023 Korea Software Congress
- 2022 Korea Software Congress
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent