Le Duy Dung (Andrew)

Program Director of the Master of Innovation in AI, Associate Program Director of the B.Sc. in Data Science

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). He earned his PhD in Data Science and Engineering from SMU, under the supervision of Associate Professor Hady W. Lauw. More details can be found in his CV (updated Jan 2024)



Funded Projects

Robust Vietnamese-English Clinical and Educational Medical Translation ( PI, Duration: 2024-2026, VinUni Cross-College Fund).

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

Smart Indoor Air Quality Control System for Healthier and Greener Buildings (PI, Duration: 2022-2026, VinUni-Illinois Smart Health).

Language Processing Adaptations for Multiple Recommendation Tasks (PI, Duration: 2023-2025, VinUni Seed Grant).

Multimodal Federated Learning for Multi-objectives Recommendation (PI, Duration: 2022-2024, VinUni Fast Track Grant).

Publications

Journal Papers:

Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings
Phuong Dinh Mai, Duc-Trong Le, Tuan-Anh Hoang, Dung D. Le
Machine Learning Journal, ACML 2024 Special Issue (Paper)

A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications
Tran Anh Tuan, Long P. Hoang, Dung D. Le, Tran Ngoc Thang
Neural Networks Journal, Jan 2024 (Paper)

Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, and Hieu H. Pham
IEEE Access, 2023 (Paper)

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:

Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues
Huy Quang Dao, Yang Deng, Khanh-Huyen Bui, Dung D. Le, Lizi Liao
Findings of EMNLP 2024. (Paper)

A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
Dang Cao Cuong, Dung D. Le, Thai Le
Findings of ACL, 2024. (Paper)

Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation
Huy Dao, Yang Deng, Dung D. Le, Lizi Liao
The 47th ACM SIGIR on Research and Development in Information Retrieval (SIGIR 2024) (Paper)

Improving Vietnamese-English Medical Machine Translation
Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi and Wray Buntine
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (Paper)

Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Minh Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong
The 2024 ACM Web Conference (Paper)

Reinforced Target-driven Conversational Promotion
Huy Quang Dao, Lizi Liao, Dung D. Le, Yuxiang Nie
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) (Paper)

Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung D. Le. Hongkai Wen, Long Tran-Thanh
The 2023 Conference on Neural Processing Systems (NeurIPS 2023) (Paper)

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) (Paper)

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:

  • COMP4050/COMP5090: Cryptography (Spring 2024)
  • COMP4010/COMP5120: Data Visualization (Spring 2024)
  • BANA4020: Computational Machine Learning for Business Analytics (Spring 2024)
  • MATH4010: Advanced Probability and Statistics (Spring 2022, Spring 2023)
  • CISM2010: Database Concepts and Skills for Big Data (Spring 2022, Fall 2023)
  • CECS1030: Algorithmic and Computational Thinking (Spring 2022)
  • MATH2010: Probability and Statistics (Fall 2021, Fall 2022)
  • COMP2030: Software Construction (Fall 2022, Fall 2023)

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 Faculty with Outstanding Contribution Award for Academic Year 2022-2023
  • 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)