- Hanyong Lee (이한용)
- Ph.D. student @ CAU AutoML Lab
- I am currently studying Natural Language Processing (NLP).
- 📧: glhy0718 at gmail
- Artificial Intelligence
- Natural Language Processing
- Document Understanding (Document AI)
- 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, Korea2022.03. - 2024.02.M.Sc. Course Department of Artificial Intelligence, Chung-Ang University Seoul, Korea2015.03. - 2022.02.B.Sc. Course School of Computer Science and Engineering, Chung-Ang University Seoul, Korea2013.03. - 2015.02.Hansung Science High School Seoul, Korea
2021.09. - 2021.12.Intern S2W Inc. Seongnam, 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 Model2023.03 -Development of Integrated Development Framework that supports Automatic Neural Network Generation and Deployment optimized for Runtime Environment- Cooperation Organization: ETRI (한국전자통신연구원)