Hi everyone! I’m Shinhaeng Lee👋🏻
Introduce
Hello, I am Shinhaeng Lee, a Master’s student in the Department of Data Science at Hanyang University and a member of the Data Mining and Algorithm Lab, advised by Prof. Hyunjoon Kim. My research interests focuses on recommender systems, with a particular focus on Generative Recommendation, LLM-based sequential recommendation and personalization. I am interested in improving recommendation performance by combining user behavior signals with content features, and in developing robust models that generalize well in real-world service environments. In addition, I am also interested in approaches that leverage knowledge graphs and agents.
Position
- M.S. Student in Data Science, Hanyang University (2025.03 ~ ) (Currently 4.25 / 4.5 GPA)
- Data Mining and Algorithm Lab (Advisor : Prof. Hyunjoon Kim)
- Gridone Co., AI Developer (2024.01 ~ 2025.01)
- Developed and deployed a workflow automation framework leveraging AI models.
- B.S in Management Information System, Myongji University (2018.03 ~ 2024.02) (4.3 / 4.5 GPA)
- Advisor : Prof. Hanjun Lee
Research Interests
- Generative Recommendation
- LLM-based Sequential Recommendation
Awards
- AI Seoultech Fellowship Master Program (2025.11)
- Ministry of SMEs and Startups Venture Startup Academy Grand Prize (Minister’s Award)
- Academic Excellence Award (2018, 2019, 2022, 2023)
Publications
- One paper is currently under review at IEEE. (Please wait a moment…)
- Also, I am currently working on generative recommendation research as a co–first author. (Please wait a moment…)
KDISS
Predicting the usefulness of online lecture reviews: using LDA and machine learning
MORS-K
Identifying Emerging Technologies in the ICT Sector through Entropy-Analysis Approach
KDISS
An issue analysis on microplastics using topic modeling
KDISS