Le Duy Dung (Andrew)


Le Duy Dung is currently a postdoctoral research scientist at PreferredAI research group, at Singapore Management University. He earned his PhD in Data Science and Engineering from the same university, working with Associate Professor Hady W. Lauw. In his candidature, he has been recognized with SMU Presidential Doctoral Fellowship Awards and SMU PhD Student Life Awards. Formerly, he earned his Degree of Engineer in Mathematics and Informatics from Hanoi University of Science and Technology, Vietnam in 2014. His research interests are in recommender systems, information retrieval, and visual analytics, with publications in major data mining and AI venues such as AAAI, IJCAI, CIKM, and SDM.


Conference Papers:

Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval
Dung D. Le and Hady W. Lauw
AAAI Conference on Artificial Intelligence (AAAI-20), Feb 2020 (Paper)

Learning Multiple Maps from Conditional Ordinal Triplets
Dung D. Le and Hady W. Lauw
International Joint Conference on Artificial Intelligence (IJCAI'19), Aug 2019 (Paper)

Multiperspective Graph-Theoretic Similarity Measure
Dung D. Le and Hady W. Lauw
ACM Conference on Information and Knowledge Management (CIKM'18), Oct 2018 (Paper|Code)

Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation
Dung D. Le and Hady W. Lauw
ACM Conference on Information and Knowledge Management (CIKM'17), Nov 2017 (Paper|Code)

Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization
Dung D. Le and Hady W. Lauw
SIAM International Conference on Data Mining (SDM'16), May 2016 (Paper)


Recent Advances on Scalable Retrieval of Personalized Recommendation
Dung D. Le and Hady W. Lauw
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Jan 2019 (Website| Materials|Videos)

PhD Thesis:

Preference Learning and Similarity Learning Perspectives on Personalized Recommendation
Duy Dung LE, Singapore Management University (Pdf|Blog)


Efficient Retrieval of Matrix Factorization-based Top-k Recommendations: A Survey of Recent Approaches
Dung D. Le and Hady W. Lauw


Besides conducting intensive research, I also involve in the development of research frameworks/libraries and supervise undergraduate projects.

  • Cerebro - Closed-loop Engine for REcommendations with Blazingly fast Retrieval of Objects
  • Thriftcity - Personalized Recommendation System for ThriftCity - A Price Comparison Website
  • VIS-Concepts - Image Search with Visual Concepts

Teaching Experience

During the course of my PhD, I also participated in various teaching activities for undergraduate programme

Graduate Instructor:

  • COR-IS1702: Computational Thinking (AY2019-2020)

Teaching Assistant:

  • IS103: Computational Thinking (AY2017-2018)
  • IS302: Information Security and Trust (AY2017-2018)


  • Representation Learning for Efficient Recommendation Retrieval (slides)
    Hanoi University of Science and Technology, School of Information and Communication Technology
  • MP-SimRank: Multiperspective Graph-theoretic Similarity Measure (slides|video)
    PreferredAI TechFest 2019
  • Your Personalized Digital World (video)
    Singapore Management University 3-Minute-Thesis 2019
  • Dealing with L'Embarras Du Choix Choice Paralysis when Shopping Online (video)
    Singapore Management University 3-Minute-Thesis 2017


  • Winner of SMU Presidential Doctorial Fellowship (2018, 2019)
  • Recipient of SMU PhD Student Life Award (2018, 2019)
  • Conference Travel Awards: AAAI 2020, AAAI 2019, IJCAI 2019, CIKM 2018, CIKM 2017, SDM 2016
  • Postgraduate scholarship, Singapore Management University ( Aug 2015 )
  • Honoured 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
  • National Mathematics Competition for University Students (first prize - 2010, second prize - 2011)
  • Third prize, Vietnam Mathematics Olympiad (Mar 2009 – high school level)