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<!DOCTYPE html>
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<title>Andrew-DungLe</title>
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<div class="header">
<div class = "perso_pic">
<a href="#"><img src="images/andrew.jpg" alt="" id="Le Duy Dung" width= 45% height= 45% class="roundedImage" /></a>
<div class = "perso_info">
<h3>Le Duy Dung (Andrew) </h3>
<p>Program Director of the Master of Innovation in AI, Associate Program Director of the B.Sc. in Data Science</p>
<!-- <h4>Email: dung.ld@vinuni.edu.vn </h4> -->
</div>
</div>
<div class = "useful-info">
<div id="menu_principal">
<nav role="navigation">
<ul>
<!--<li><a href=""><p>ABOUT</p></a></li>-->
<li><a href="#publications"><p>Publications </p></a></li>
<li><a href="#projects"><p>Projects</p></a></li>
<li><a href="https://github.com/Andrew-DungLe"><p>GitHub</p></a></li>
<li><a href="#teaching"><p >Teaching</p></a></li>
<li><a href="#awards"><p >Awards</p></a></li>
<li><a href="#blogs"><p >Blogs</p></a></li>
<!-- <li><a href="/static/documents/Le_Duy_Dung_CV.pdf">CV</a> -->
</ul>
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<div class = "perso_info">
<!-- <h3><a id="about" class="anchor" href="#" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>About</h3> -->
<p><strong>Le Duy Dung</strong> is an Assistant Professor at College of Engineering and Computer Science, VinUniversity, where he leads the <a href="http://www.r2studio.io/">R2Studio</a> reseach group on AI-empowered Search and Recommendation and <a href="http://vinuni-indoorcare.github.io/">IndoorCare</a> research group on AI and Simulation for Smart Indoor Spaces. He is also the lab director of Living Lab at VinUniversity <a href="https://cei.vinuni.edu.vn/">Center for Environmental Intelligence</a>, 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 <a href="http://www.hadylauw.com/">Hady W. Lauw</a>. More details can be found in his <a href="/static/documents/Le_Duy_Dung_CV.pdf">CV</a> (updated Jan 2024)
<!-- 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 <a href="/static/documents/Le_Duy_Dung_CV.pdf">CV</a> (updated Aug 2021). -->
</div>
</div>
</div>
<br></br>
<div id = "funded_projects">
<h2><a id="research_fund" class="anchor" href="#" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Funded Projects</h2>
<strong>Robust Vietnamese-English Clinical and Educational Medical Translation</strong> (<em> PI, Duration: 2024-2026, VinUni Cross-College Fund</em>).
</p>
<strong>SMART-CEM: Applying Artificial Intelligence (AI) and eye-tracking in designing and managing delightful customer experiences in the hospitality sector </strong> (<em>co-PI, Duration: 2023-2025, VinGroup Innovation Fund - VINIF</em>).
</p>
<p>
<strong>Smart Indoor Air Quality Control System for Healthier and Greener Buildings </strong> (<em>PI, Duration: 2022-2026, VinUni-Illinois Smart Health</em>).
</p>
<p>
<strong>Language Processing Adaptations for Multiple Recommendation Tasks </strong> (<em>PI, Duration: 2023-2025, VinUni Seed Grant</em>).
</p>
<p>
<strong>Multimodal Federated Learning for Multi-objectives Recommendation </strong> (<em>PI, Duration: 2022-2024, VinUni Fast Track Grant</em>).
</p>
<p>
</div>
<div id = "publications">
<h2><a id="publi" class="anchor" href="#" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Publications</h2>
<hr>
<div class = "publications">
<!-- <h3>Preprint:</h3>
<p>
<strong>HyperSparse: Specializing Parameters of Meta-Learning Models for Effective User Cold-Start Recommendation</strong>
<br>Hoang Pham, Dung D. Le, Quang Pham and The-Anh Ta<br>
</p>
<p>
<strong>Improving Conversational Recommendation with Enhanced Knowledge from Entity-Word Semantic Graph</strong>
<br>Quang-Huy Dao, Dung D. Le, Cuong X. Chu<br>
</p>
<p>
<strong>Weighted-PS: Learning Weighted Product Spaces Representations for Graphs of Heterogeneous Structures</strong>
<br>Tuc Nguyen, Dung D. Le, The-Anh Ta<br>
</p>
<p>
<strong>Effective Knowledge Distillation for Recommender Systems using Multiple Teacher Assistants</strong>
<br>Hieu Nguyen, Dung D. Le, The-Anh Ta<br>
</p> -->
<h3>Journal Papers:</h3>
<p>
<strong>Finding Environmental-friendly Chemical Synthesis with AI and High-throughput Robotics</strong>
<br>Vu Van Hao, Bui Khanh Huyen, Dang Dinh Dang Khoa, Duong Tuan Manh, Dung D. Le, Tung Nguyen-Dang<br>
<em> Journal of Science: Advanced Materials and Devices (Q1) </em>
(<a href="">Paper</a>)
</p>
<p>
<p>
<strong>Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings</strong>
<br>Phuong Dinh Mai, Duc-Trong Le, Tuan-Anh Hoang, Dung D. Le<br>
<em> Machine Learning Journal, ACML 2024 Special Issue</em>
(<a href="https://arxiv.org/abs/2402.14305">Paper</a>)
</p>
<p>
<p>
<strong>A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications</strong>
<br>Tran Anh Tuan, Long P. Hoang, Dung D. Le, Tran Ngoc Thang<br>
<em> Neural Networks Journal, Jan 2024</em>
(<a href="https://arxiv.org/abs/2302.12487">Paper</a>)
</p>
<p>
<strong>Enhancing Few-shot Image Classification with Cosine Transformer</strong>
<br>Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, and Hieu H. Pham<br>
<em>IEEE Access, 2023</em>
(<a href="https://arxiv.org/abs/2211.06828">Paper</a>)
</p>
<p>
<strong>Efficient Retrieval of Matrix Factorization-based Top-k Recommendations: A Survey of Recent Approaches</strong>
<br>Dung D. Le and Hady W. Lauw<br>
<em>Journal of Artificial Intelligence Research (JAIR), 2021</em>
(<a href="https://www.jair.org/index.php/jair/article/view/12403">Paper</a>)
</p>
<h3>Conference Papers:</h3>
<p>
<strong>Improving Pareto Set Learning for Expensive Multi-Objective Optimization via Stein Variational Hypernetworks</strong>
<br>Minh Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Hoang Phi Long, Dung D. Le<br>
<em>The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)</em>
(<a href="">Paper</a>)
</p>
<p>
<strong>Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues</strong>
<br>Huy Quang Dao, Yang Deng, Khanh-Huyen Bui, Dung D. Le, Lizi Liao<br>
<em>Findings of EMNLP 2024.</em>
(<a href="">Paper</a>)
</p>
<p>
<strong>A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models</strong>
<br>Dang Cao Cuong, Dung D. Le, Thai Le<br>
<em>Findings of ACL, 2024.</em>
(<a href="https://aclanthology.org/2024.findings-acl.800.pdf">Paper</a>)
</p>
<p>
<strong>Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation</strong>
<br>Huy Dao, Yang Deng, Dung D. Le, Lizi Liao<br>
<em>The 47th ACM SIGIR on Research and Development in Information Retrieval (SIGIR 2024)</em>
(<a href="https://dl.acm.org/doi/10.1145/3626772.3657755">Paper</a>)
</p>
<p>
<strong>Improving Vietnamese-English Medical Machine Translation</strong>
<br>Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi and Wray Buntine<br>
<em>The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)</em>
(<a href="https://aclanthology.org/2024.lrec-main.784/">Paper</a>)
</p>
<p>
<strong>Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training</strong>
<br>Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Minh Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong<br>
<em>The 2024 ACM Web Conference</em>
(<a href="https://arxiv.org/abs/2401.03748">Paper</a>)
</p>
<p>
<strong>Reinforced Target-driven Conversational Promotion</strong>
<br>Huy Quang Dao, Lizi Liao, Dung D. Le, Yuxiang Nie<br>
<em>The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)</em>
(<a href="https://www.researchgate.net/publication/374806402_Reinforced_Target-driven_Conversational_Promotion">Paper</a>)
</p>
<p>
<strong>Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?</strong>
<br>Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung D. Le. Hongkai Wen, Long Tran-Thanh<br>
<em>The 2023 Conference on Neural Processing Systems (NeurIPS 2023)</em>
(<a href="https://openreview.net/forum?id=xdOoCWCYaY">Paper</a>)
</p>
<p>
<strong>A Probabilistic Framework for Pruning Transformers via a Finite Admixture of Keys</strong>
<br>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<br>
<em>The 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)</em>
(<a href="https://ieeexplore.ieee.org/abstract/document/10096107">Paper</a>)
</p>
<p>
<strong>Improving Pareto Front Learning via Multi-Sample Hypernetworks</strong>
<br>Hoang Phi Long, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang<br>
<em>AAAI Conference on Artificial Intelligence (AAAI-23)</em>
(<a href="https://arxiv.org/abs/2212.01130">Paper</a>)
</p>
<!-- <p>
<strong>Pruning Deep Equilibrium Models</strong>
<br>Hoang Pham, Tuc Nguyen, The-Anh Ta, Dung D. Le, Long Tran-Thanh<br>
<em>ICML 2022 Workshop on Sparsity in Neural Networks (SNN 2022), 2022</em>
(<a href="https://www.researchgate.net/publication/361865468_Pruning_Deep_Equilibrium_Models">Paper</a>)
</p>
<p>
<strong>Towards Efficient and Explainable Distracted Driver Detection</strong>
<br>Thanh Tran and Dung D. Le<br>
<em>IJCAI 2022 Workshop on Workshop on Artificial Intelligence for Autonomous Driving (AI4AD)</em>, 2022
(<a href="/static/documents/Distracted_Driver_Project_Report_CRV.pdf">Paper</a>)
<p> -->
<p>
<strong>Improving Transformers with Probabilistic Attention Keys</strong>
<br>T. Nguyen, T. Nguyen, Dung D. Le, K. Nguyen, A. Tran, R. G. Baraniuk, N. Ho, S. J. Osher<br>
<em>The Thirty-ninth International Conference on Machine Learning (ICML 2022)</em>, July 2022
(<a href="https://arxiv.org/abs/2110.08678">Paper</a>)
</p>
<!-- <p>
<strong>Learning Weighted Product Spaces Representations for Graphs of Heterogeneous Structures</strong>
<br>Tuc Van Nguyen and Dung D. Le and Anh Ta<br>
<em>ICLR 2022 Workshop on Geometrical and Topological Representation Learning</em>, 2022
(<a href="https://openreview.net/forum?id=BebMTEby6x9">Paper</a>)
<p> -->
<p>
<strong>Collaborative Curating for Discovery and Expansion of Visual Clusters</strong>
<br>Dung D. Le and Hady W. Lauw<br>
<em>The 15th ACM International Conference in Web Search and Data Mining (WSDM-22)</em>, Feb 2022
(<a href="https://www.researchgate.net/publication/355486429_Collaborative_Curating_for_Discovery_and_Expansion_of_Visual_Clusters">Paper</a>)
<p>
<strong>Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval</strong>
<br>
Dung D. Le and Hady W. Lauw<br>
<em>AAAI Conference on Artificial Intelligence (AAAI-20)</em>, Feb 2020
(<a href="https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6127&context=sis_research">Paper</a>)
</p>
<p>
<p>
<strong>Learning Multiple Maps from Conditional Ordinal Triplets</strong>
<br>
Dung D. Le and Hady W. Lauw<br>
<em>International Joint Conference on Artificial Intelligence (IJCAI'19)</em>, Aug 2019
(<a href="https://www.ijcai.org/Proceedings/2019/0390.pdf">Paper</a>)
</p>
<p>
<p>
<strong>Multiperspective Graph-Theoretic Similarity Measure</strong>
<br>
Dung D. Le and Hady W. Lauw<br>
<em>ACM Conference on Information and Knowledge Management (CIKM'18),</em> Oct 2018
(<a href="https://www.researchgate.net/publication/327305910_Multiperspective_Graph-Theoretic_Similarity_Measure">Paper</a>|<a href="https://github.com/PreferredAI/mp-simrank">Code</a>)
</p>
<p>
<p>
<strong>Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation</strong>
<br>
Dung D. Le and Hady W. Lauw<br>
<em> ACM Conference on Information and Knowledge Management (CIKM'17)</em>, Nov 2017
(<a href="https://www.researchgate.net/publication/319502371_Indexable_Bayesian_Personalized_Ranking_for_Efficient_Top-k_Recommendation">Paper</a>|<a href="https://github.com/PreferredAI/cornac/blob/master/cornac/models/ibpr/ibpr.py">Code</a>)
</p>
<p>
<strong>Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization</strong>
<br>
Dung D. Le and Hady W. Lauw<br>
<em>SIAM International Conference on Data Mining (SDM'16)</em>, May 2016
(<a href="https://www.researchgate.net/publication/305151116_Euclidean_Co-Embedding_of_Ordinal_Data_for_Multi-Type_Visualization">Paper</a>)
</p>
<h3>Tutorials:</h3>
<p>
<strong>Recent Advances on Scalable Retrieval of Personalized Recommendation</strong>
<br>Dung D. Le and Hady W. Lauw<br>
<em>The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)</em>, Jan 2019
(<a href="https://aaai.org/Conferences/AAAI-19/aaai19tutorials/#ma5">Website</a>|
<a href="https://github.com/PreferredAI/recommendation-retrieval">Materials</a>|<a href="https://www.youtube.com/playlist?list=PL291RJWFNQGL7MBEuBIDwMIQn8rX1Jloz">Videos</a>)
</p>
<h3>PhD Thesis:</h3>
<p>
<strong>Preference Learning and Similarity Learning Perspectives on Personalized Recommendation</strong>
<br>Duy Dung LE, Singapore Management University
<!-- <em>The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)</em>, Jan 2019 -->
(<a href="https://ink.library.smu.edu.sg/etd_coll/241/">Pdf</a>|<a href="https://preferred.ai/andrew-defense/">Blog</a>)
</p>
<div id = "projects">
<h2><a id="projects" class="anchor" href="#" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Projects</h2>
<hr>
<p>Besides conducting intensive research, I also involve in the development of research frameworks/libraries and supervise undergraduate projects.</p>
<ul>
<li class = ""><font color = "black"> <strong><a href="https://cerebro.preferred.ai/">Cerebro</a></strong> -</font> <strong>Closed-loop Engine for REcommendations with Blazingly fast Retrieval of Objects</strong> </li>
<li class = ""><font color = "black"><strong><a href="https://thriftcity.preferred.ai/#/homepage">Thriftcity</a></strong> -</font><strong> Personalized Recommendation System for ThriftCity - A Price Comparison Website </strong></li>
<li class = ""><font color = "black"><strong><a href="https://visconcepts.preferred.ai/">VIS-Concepts</a></strong> -</font><strong> Image Search with Visual Concepts</strong></li>
</ul>
<p>
</div>
<div id = "teaching">
<h2><a id="teach" class="anchor" href="#" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Teaching Experience</h2>
<hr>
<h3>VinUniversity:</h3>
<ul>
<li class = "littraning"><font color = "black"> COMP4050/COMP5090: Cryptography (Spring 2024) </font> </li>
<li class = "littraning"><font color = "black"> COMP4010/COMP5120: Data Visualization (Spring 2024) </font> </li>
<li class = "littraning"><font color = "black"> BANA4020: Computational Machine Learning for Business Analytics (Spring 2024) </font> </li>
<li class = "littraning"><font color = "black"> MATH4010: Advanced Probability and Statistics (Spring 2022, Spring 2023) </font> </li>
<li class = "littraning"><font color = "black"> CISM2010: Database Concepts and Skills for Big Data (Spring 2022, Fall 2023) </font> </li>
<li class = "littraning"><font color = "black"> CECS1030: Algorithmic and Computational Thinking (Spring 2022) </font> </li>
<li class = "littraning"><font color = "black"> MATH2010: Probability and Statistics (Fall 2021, Fall 2022) </font> </li>
<li class = "littraning"><font color = "black"> COMP2030: Software Construction (Fall 2022, Fall 2023) </font> </li>
</ul>
<h3>Graduate Instructor (SMU):</h3>
<ul>
<li class = "littraning"><font color = "black"> COR-IS1702: Computational Thinking (AY2019-2020) </font> </li>
</ul>
<h3>Teaching Assistant (SMU):</h3>
<ul>
<li class = "liteaching"><font color = "black"> IS103: Computational Thinking (AY2017-2018) </font> </li>
<li class = "liteaching"><font color = "black"> IS302: Information Security and Trust (AY2017-2018)</font> </li>
</ul>
</div>
<div id = "blogs">
<h2><a id="blogs" class="anchor" href="#" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Blogs</h2>
<hr>
<ul>
<li class = ""><a href="https://preferred.ai/a-quest-for-fast-personalized-recommendation-part-i">A Quest for Fast Personalized Recommendation</a>
</li>
<li class = ""><a href="https://preferred.ai/fast-and-accurate-personalized-recommendation-with-indexing/">Fast and Accurate Personalized Recommendation with Indexing</a>
</li>
</ul>
</div>
<div id = "talks">
<h2><a id="talks" class="anchor" href="#" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Talks</h2>
<hr>
<ul>
<li class=""><strong>Representation Learning for Efficient Recommendation Retrieval</strong> (<a href="/static/documents/slides/representation_learning_efficientRoR.pptx">slides</a>)<br>Hanoi University of Science and Technology, School of Information and Communication Technology</li>
<li class=""><strong>MP-SimRank: Multiperspective Graph-theoretic Similarity Measure</strong> (<a href="https://www.dropbox.com/s/fwba9mtywnzyrpw/techfest2019-mpsimrank.pdf?dl=0">slides</a>|<a href="https://youtu.be/oDta4yVw0_8">video</a>)<br>PreferredAI TechFest 2019</li>
<li class=""><strong>Your Personalized Digital World</strong> (<a href="https://youtu.be/N5nDtrNLqfE">video</a>)<br>Singapore Management University 3-Minute-Thesis 2019</li>
<li class=""><strong>Dealing with L'Embarras Du Choix Choice Paralysis when Shopping Online</strong> (<a href="https://youtu.be/11Baij0P6g0">video</a>)<br>Singapore Management University 3-Minute-Thesis 2017</li>
</ul>
</div>
<div id = "awards">
<h2><a id="awards" class="anchor" href="#" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Awards</h2>
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<ul>
<li>VinUniversity Faculty with Outstanding Contribution Award for Academic Year 2022-2023</li>
<li>VinUniversity Teaching Innovation Grant for Academic Year 2023-2024</li>
<li>VinUniversity Faculty of the Year Award for Academic Year 2021-2022</li>
<li>VinUniversity Teaching Excellent Award for Academic Year 2021-2022</li>
<li><a href="https://graduatestudies.smu.edu.sg/phd/singapore-management-university-smu-presidential-doctoral-fellowships">Winner of SMU Presidential Doctorial Fellowship (2018, 2019)</a></li>
<li><a href="https://graduatestudies.smu.edu.sg/phd/student-activities-phd-student-life-award">Recipient of SMU PhD Student Life Award (2018, 2019)</a></li>
<li>Conference Travel Awards: AAAI 2020, AAAI 2019, IJCAI 2019, CIKM 2018, CIKM 2017, SDM 2016</li>
<li>Postgraduate scholarship, Singapore Management University ( Aug 2015 )</li>
<li>Honoured as the valedictorian of School of Applied Mathematics and Informatics, Hanoi University of Science and Technology (Sep 2014)</li>
<li>Scholarships of Vietnam National Program for the Development of Mathematics AY13-14, AY12-13</li>
<li>Lawrence S.Ting scholarship for excellent student AY2011-12</li>
<li>National Mathematics Competition for University Students (first prize - 2010, second prize - 2011)</li>
<li>Third prize, Vietnam Mathematics Olympiad (Mar 2009 – high school level)</li>
</ul>
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