Le Duy Dung, PhD.
College of Engineering and Computer Science
Assistant Professor, Computer Science program
Program Director, Master of Product Management in AI
Associate Program Director, Data Science Program
Biography
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).
More information about him can be found at: https://andrew-dungle.github.io/
His research interest includes recommender systems, information retrieval, and visual analytics. Specifically, his research works have been focusing on designing algorithms for analyzing user-generated data, understanding user preferences from the data, and applying the learnt knowledge to create user-centric applications.
• Recommender systems
• Information retrieval
• Visual analytics
JOURNAL PAPERS
- Dung D. Le, Hady W. Lauw, Efficient Retrieval of Matrix Factorization-based Top-k Recommendations: A Survey of Recent Approaches, Journal of Artificial Intelligence Research (JAIR), 2021.
CONFERENCE PAPERS
- Dung D. Le, Hady W. Lauw, Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval, AAAI Conference on Artificial Intelligence (AAAI’20), Feb 2020.
- Dung D. Le, Hady W. Lauw, Learning Multiple Maps from Conditional Ordinal Triplets, International Joint Conference on Artificial Intelligence (IJCAI’19), full paper, Aug 2019.
- Dung D. Le, Hady W. Lauw, Multiperspective Graph-Theoretic Similarity Measure, ACM Conference on Information and Knowledge Management (CIKM’18), full paper, Oct 2018.
- Dung D. Le, Hady W. Lauw, Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendations, ACM Conference on Information and Knowledge Management (CIKM’17), full paper, Nov 2017.
- Dung D. Le, Hady W. Lauw, Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization, SIAM International Conference on Data Mining (SDM’16), full paper, May 2016.
TUTORIAL
- Dung D. Le, Hady W. Lauw, Recent Advances on Scalable Retrieval of Personalized Recommendations, the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), January 27 – February 1, 2019.
PRE-PRINT
- Dung D. Le, Hady W. Lauw, Personalized Discovery and Expansion of User-Curated Visual Clusters.
- 2019: PhD in Data Science and Engineering, Singapore Management University, Singapore
- 2014: Degree of Engineer in Mathematics and Informatics (5-year advanced undergraduate program), Hanoi University of Science and Technology, Vietnam
- Conference Travel Awards: AAAI-20, IJCAI-19, AAAI-19, CIKM-18, CIKM-17, SDM-16.
- Winner of SMU Presidential Doctoral Fellowship Award AY2018 and AY2019.
- Recipient of SMU PhD Student Life Award, AY2018 and AY2019.
- Postgraduate scholarship, Singapore Management University ( Aug 2015 ).
- Honored as the valedictorian of School of Applied Mathematics and Informatics, Hanoi University of Science and Technology (Sep 2014).
- Scholarships of Vietnam National Program for the Development of Mathematics AY13-14, AY12-13.
- Lawrence S.Ting scholarship for excellent student AY2011-12.
- Honored as excellent student of AY2011-12.
- National Mathematics Competition for University Students (first prize – 2010, second prize – 2011).
