Scholar
Tai NGUYEN
Google Scholar ID: lBDYHHAAAAAJ
Ph.D Student
Citations & Impact
Citations
42
H-index
5
i10-index
2
Publications
11
Co-authors
7
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several conference papers, including 'Dude: dual distribution-aware context prompt learning for large vision-language model', 'HORUS: multimodal large language models framework for video retrieval', 'Multi-parameter control for the (1+(λ,λ))-GA on OneMax via deep reinforcement learning', and 'On the importance of reward design in reinforcement learning-based dynamic algorithm configuration: a case study on OneMax with (1+(λ,λ))-GA'. Won two prizes.
Research Experience
- Played a key role in multiple research projects such as Dude: dual distribution-aware context prompt learning for large vision-language model, HORUS: multimodal large language models framework for video retrieval, etc.
Education
- Ph.D. student in Computer Science, jointly supervised by the University of St Andrews (UK) and Sorbonne Université (FR), from September 27, 2024, to September 26, 2028.
Background
- Research interests lie at the intersection of machine learning (artificial intelligence) and evolutionary optimization (computer intelligence). He has authored and co-authored publications in top-ranking conferences, including NeurIPS, ICML, GECCO, FOGA, and IEEE BigData.
