lhy0718,LEE HANYONG,github

Introduction

Programming: Python, JAVA, C#, C++, C, JavaScript/TypeScript, HTML/CSS, Swift, etc.
Library/Framework: PyTorch, TensorFlow, HuggingFace, Pandas, scikit-learn, TensorFlow Lite, ONNX, WandB, NodeJS, NextJS, Django, Flask, FastAPI, React, OpenGL, etc.
Tool: Android Studio, Unity, VS Code, Vim, etc.
OS: Linux (Ubuntu), macOS, Windows, Raspberry Pi OS

2024.03. - Ph.D. Course Department of Artificial Intelligence, Chung-Ang University Seoul, Korea
2022.03. - 2024.02. M.Sc. Course Department of Artificial Intelligence, Chung-Ang University Seoul, Korea
2015.03. - 2022.02. B.Sc. Course School of Computer Science and Engineering, Chung-Ang University Seoul, Korea
2013.03. - 2015.02. Hansung Science High School Seoul, Korea

C. Lee, H. Lee, K. Kim S. Kim and J. Lee "An Efficient Fine-Tuning of Generative Language Model for Aspect-Based Sentiment Analysis," The 42nd IEEE Int. Conf. On Consumer Electronics (ICCE 2024), Las Vegas, USA, 5-8 January 2024.
H. Lee and J. Lee, “Exploitation of Character-Wise Language Model for Recovering Adversarial Text,” International Conference on Electronics, Information, and Communication (ICEIC 2023), 2023.
A. Moon, S. Lee, S. Cho, T. Lee, H. Lee and J. Lee, “An Efficient Neural Network based on Early Compression of Sparse CT Slice Images,” 2021 International Conference on Platform Technology and Service (PlatCon), 2021, pp. 1-5, doi: 10.1109/PlatCon53246.2021.9680749.

3rd Prize, 2022 AI Graduate School Challenge, LG
3rd Prize, 2021 Text Ethics Verification Data Hackathon Competition, National Information Society Agency (NIA)

2023.09 - Automatic Generation of Children's Song Lyrics and Improvement of Lyric Quality Based on Large Language Model
2023.03 - Development of Integrated Development Framework that supports Automatic Neural Network Generation and Deployment optimized for Runtime Environment
- Cooperation Organization: ETRI (한국전자통신연구원)