About me
Juyeong Shin,
Bachelor Candidate
Juyeong Shin, Bachelor Candidate
Motto and Passion
Learning, Thinking, Solution, Practice
Thinking about the explanation with grounds
Knowledge Processing, Representation, Sharing
Existentialism, Humanism, Kategorischer Imperativ, 仁
Friedrich Nietzsche, Bertrand Russell, Immanuel Kant, 孔子
Knowing the difference and not evaluating
Introduction
Computer Science & Engineering, Kyung Hee Univ.
Software Engineer, Data & Knowledge Engineering Lab.
Email: bl4angel20@khu.ac.kr / bl4angel20@gmail.com
SNS: Instagram / Facebook / GitHub / Google Scholar
Location: Yeongtong-gu, Suwon-si, Republic of Korea
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
Main 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
Toy Projects
- Domestic Stock Followup Service, 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
- Jekyll Minimal Mistakes Blog Customizing, 2022 -
- Ruby, Jekyll, node.js, Firebase, GitHub
- IoT Doorlock with Elevator, 2018
- C, Arduino, Serial, SPI, RFID, BlueTooth
Publications
- 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
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