Le Duy Dung (Andrew)

Email: dung.ld@vinuni.edu.vn

Le Duy Dung is an Assistant Professor at College of Engineering and Computer Science, VinUniversity. 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). He earned his PhD in Data Science and Engineering from SMU, under the supervision of 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. More details can be found in his CV (updated Aug 2021).



Funded Projects

Multimodal Federated Learning for Multi-objectives Recommendation (coPI, Budget: 25K USD, Duration: 2022-2024, VinUni Seed Grant).

SMART-CEM: Applying Artificial Intelligence (AI) and eye-tracking in designing and managing delightful customer experiences in the hospitality sector (PI, Budget: 200K USD, Duration: 2023-2025, VinGroup Innovation Fund - VINIF).

Publications

Journal Papers:

Efficient Retrieval of Matrix Factorization-based Top-k Recommendations: A Survey of Recent Approaches
Dung D. Le and Hady W. Lauw
Journal of Artificial Intelligence Research (JAIR), 2021 (Paper)

Conference Papers:

A Probabilistic Framework for Pruning Transformers via a Finite Admixture of Keys
T. Nguyen, T. Nguyen, Long Bui, Hai Do, Dung D. Le, Hung Tran-The, Duy Khuong Nguyen, N. Ho, S. J. Osher, R. G. Baraniuk
The 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)

Improving Pareto Front Learning via Multi-Sample Hypernetworks
Hoang Phi Long, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang
AAAI Conference on Artificial Intelligence (AAAI-23) (Paper)

Improving Transformers with Probabilistic Attention Keys
T. Nguyen, T. Nguyen, Dung D. Le, K. Nguyen, A. Tran, R. G. Baraniuk, N. Ho, S. J. Osher
The Thirty-ninth International Conference on Machine Learning (ICML 2022), July 2022 (Paper)

Collaborative Curating for Discovery and Expansion of Visual Clusters
Dung D. Le and Hady W. Lauw
The 15th ACM International Conference in Web Search and Data Mining (WSDM-22), Feb 2022 (Paper)

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)

Tutorials:

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)

Projects

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

VinUniversity:

  • MATH4010: Advanced Probability and Statistics (Spring 2022, Spring 2023)
  • CISM2010: Database Concepts and Skills for Big Data (Spring 2022)
  • CECS1030: Algorithmic and Computational Thinking (Spring 22)
  • MATH2010: Probability and Statistics (Fall 2021, Fall 2022)
  • COMP2030: Software Construction (Fall 2022)

Graduate Instructor (SMU):

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

Teaching Assistant (SMU):

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

Talks

  • 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

Awards

  • VinUniversity Teaching Innovation Grant for Academic Year 2023-2024
  • VinUniversity Faculty of the Year Award for Academic Year 2021-2022
  • VinUniversity Teaching Excellent Award for Academic Year 2021-2022
  • 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)