Professor

Lê Duy Dũng

Affiliation: VinUniversity, Hanoi, Viet Nam

[email protected]

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Scopus ID: 57478050800

https://orcid.org/0000-0003-0364-9393

Introduction

Le Duy Dung is an Assistant Professor at College of Engineering and Computer Science, VinUniversity, where he leads the R2Studio reseach group on AI-empowered Search and Recommendation and IndoorCare research group on AI and Simulation for Smart Indoor Spaces. He is also the lab director of Living Lab at VinUniversity Center for Environmental Intelligence, which serves as a technology hub for future innovators and facilitates connections among experts from around the world to collectively solve sustainable development issues on a global scale. Previously, he was a senior data scientist in Ads and Personalization team, Grab Holdings Inc. and a research scientist in School of Information Systems, Singapore Management University (SMU).

Affiliation: VinUniversity, Hanoi, Viet Nam

Research Output

Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning

Nguyen Quoc-Anh Hoang, Tran Hung The, Gupta Sunil, Le Dung D.
  • Lecture Notes in Computer Science
DOI: 10.1007/978-3-032-06096-9_11
  • Bayesian optimization
  • Designing search space
  • Gaussian Process
  • Transfer Learning

Enhancing News Recommendation with Hierarchical LLM Prompting

Kieu Hai-Dang, Zhang Delvin Ce, Nguyen Minh Duc, Wu Qiang, Xu Min, Le Dung D.
  • Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025
DOI: 10.1145/3701716.3735085
  • Large Language Model
  • News Recommendation
  • Personalization

Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks

Nguyen Minh-Duc, Dinh Phuong Mai, Nguyen Quang-Huy, Hoang Long P., Le Dung D.
  • Proceedings of the Aaai Conference on Artificial Intelligence
DOI: 10.1609/aaai.v39i18.34164

Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation

Dao Huy, Deng Yang, Le Dung D., Liao Lizi
  • SIGIR 2024 Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3626772.3657755
  • conversational recommendation
  • demonstration-based learning

Collaborative curating for discovery and expansion of visual clusters

Le Dung D., Lauw Hady W.
  • Wsdm 2022 Proceedings of the 15th ACM International Conference on Web Search and Data Mining
DOI: 10.1145/3488560.3498504
  • Collaborative curating
  • Visual curation
  • Visual discovery

Improving Transformers with Probabilistic Attention Keys

Nguyen Tam, Nguyen Tan M., Le Dung D., Nguyen Duy Khuong, Tran Viet-Anh, Baraniuk Richard G., Ho Nhat, Osher Stanley J.
  • Proceedings of Machine Learning Research

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Keyphrases

  • Bayesian optimization
  • Designing search space
  • Gaussian Process
  • Transfer Learning
  • Large Language Model
  • News Recommendation
  • Personalization
  • conversational recommendation
  • demonstration-based learning
  • Collaborative curating
  • Visual curation
  • Visual discovery

Computer Science

  • Theoretical Computer Science

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