I’m Minh-Duc, a young researcher with a strong background in mathematics and informatics. I earned my Bachelor’s degree from Hanoi University of Science and Technology (HUST), where I was guided by Dr. Tran Ngoc Thang in research on recommendation systems incorporating Multi-objective learning to enhance user-item matching.

After graduation, I joined the R2Studio reseach group on AI-empowered Search and Recommendation at VinUniversity, under the leadership of Assistant Professor Le Duy Dung (Andrew). Here, our team explores optimization algorithms for multi-objective optimization, contributing to advancements in this field.

I am trying to develop my research to find suitable PhD programs in fall 2026.

Research Topics

• Multi-objective optimization (MOO), Multi Tasks Learning, Pareto Set Learning
• Large Language Models (LLMs) for Recommendation Systems (RS)
• AI in Applications

News

• [Jan. 2025] Our paper “Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations” is accepted at The Web Conference 2025, Workshop LLL 4 E-Commerce.
• [Dec. 2024] My first paper “Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks” is accepted at AAAI Conference on Artificial Intelligence (AAAI 2025).

Conference Papers

Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Hoang Phi Long, Dung D. Le
Proceedings of the AAAI Conference on Artificial Intelligence, 39(18), 19677-19685. (AAAI25) Paper, Code

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Dang Hai Kieu, Minh Duc Nguyen, Thanh-Son Nguyen, Dung D. Le
The Web Conference 2025, Workshop LLL 4 E-Commerce. Paper

Interests

Football, Guitar, Books.

Gallery