Qinglong Li
Assistant Professor
Division of Computer Engineering (Big Data Track), Hansung University
Office: Research Building 201
Email: leecy@hansung.ac.kr
Research Areas
- Personalized Recommender Systems
- Multimodal Review Intelligence
- User Preference and Context Modeling
- LLM Based Review Understanding
- Agentic Personalized AI
Education
Ph.D. in Engineering
Department of Big Data Analytics, Kyung Hee University, August 2024
M.S. in Engineering
Department of Big Data Analytics, Kyung Hee University, February 2021
B.B.A. in Business Administration
Department of Business Administration, Kyung Hee University, February 2019
Academic Experience
- Assistant Professor, Division of Computer Engineering, Hansung University, March 2025 to Present
- Research Professor, Department of Big Data Analytics, Kyung Hee University, September 2024 to February 2025
- Lecturer, Department of Big Data Analytics, Kyung Hee University, March 2024 to August 2024
- Senior Researcher, AI Business Research Center, Kyung Hee University, March 2019 to February 2025
Selected Publications
Google Scholar- Li, X., Li, Q., & Kim, J. (2026). Instruction‐tuned large language models for review helpfulness prediction: An efficient fine‐tuning framework for e-commerce review understanding. Expert Systems, 43(3), e70208.
- Lim, H., Park, S., Li, Q., Li, X., & Kim, J. (2026). What makes a review helpful? A multimodal prediction model in e-commerce. Electronic Commerce Research and Applications, 76, 101586.
- Lim, H., Li, X., Park, S., Li, Q., & Kim, J. (2026). Reducing contextual noise in review-based recommendation via aspect term extraction and attention modeling. Information Sciences, 735, 123078.
- Li, X., Li, Q., Ryu, D., & Kim, J. (2025). A BERT-based review helpfulness prediction model utilizing consistency of ratings and texts. Applied Intelligence, 55(6), 455.
- Kim, D., Li, Q., Jang, D., & Kim, J. (2024). AXCF: Aspect‐based collaborative filtering for explainable recommendations. Expert Systems, 41(8), e13594.
Honors and Awards
- Best Paper Award, Korean Intelligent Information Systems Society Spring Conference, 2026
- Excellent Paper Award, Korean Intelligent Information Systems Society Spring Conference, 2026
- Best Paper Award, Korea Knowledge Management Society Fall Conference, 2025
- Excellent Paper Award, Korean Operations Research and Management Science Society Fall Conference, 2025
- Best Paper Award, Korean Intelligent Information Systems Society Spring Conference, 2025
- Best Paper Award, Korean Intelligent Information Systems Society Fall Conference, 2024
- Outstanding Paper, Emerald Literati Awards, 2024
- Excellent Paper Award, Korean Operations Research and Management Science Society Fall Conference, 2023
- Excellent Paper Award, Korean Operations Research and Management Science Society Fall Conference, 2023
- Best Paper Award, Korean IT Service Society Spring Conference, 2023
- Excellent Paper Award, Korean Intelligent Information Systems Society Spring Conference, 2021
Lectures
Project Experience
- Education and Research Group of Big Data Leaders for Sustainable Growth, National Research Foundation of Korea, Research Professor, September 2024 to February 2025
- Consulting Framework Integrating Structured and Unstructured Data for Technology-Based Companies, KEIT, Researcher, May 2020 to December 2022
- AI-Based Personalized Job Search Support Service Using Employment Big Data, KEIT, Researcher, August 2019 to January 2020
- Recommendation System Using Recurrent Neural Networks in IoT-Based Exhibition Environments, Kyung Hee University, Researcher, March 2019 to February 2020
Patents
- System and Method of Recommending Customized Course Subjects Based on Deep Learning, Patent No. 10-2021-0063216, South Korea, Granted
- Consulting System for Supporting Decision-Making of Enterprises and Method Thereof, Patent Application No. 10-2022-0136712, South Korea, Pending
- System and Method of Automatically Providing a Summary for Enterprise Consulting Information, Patent Application No. 10-2022-0136712, South Korea, Pending