Le Duy Dung (Andrew)

Probing Spatial Robustness in OCR-Dependent Document Understanding: Adversarial Attacks on Bounding Box Metadata Across Layout-Aware Architectures

Dong Nguyen Tien, Dung D. Le, Dang Nguyen Hoang, Hoang Vu Viet, Vinh Nguyen Thanh, Minh Nguyen Anh

Machine Learning, 2026

A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks

Minh-Duc Nguyen, Dung. D Le

ACM Transactions on Intelligent Systems and Technology, 2026

KALM4Rec: Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations

Hai Dang Kieu, Minh Duc Nguyen, Wray Buntine,Thanh-Son Nguyen, Dung. D Le

Machine Learning, 2026

Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation

Minh-Anh Nguyen, Bao Nguyen, Ha Lan N.T., Tuan Anh Hoang, Duc-Trong Le, Dung D. Le

Machine Learning, 2026

Algorithmic Iterative Reticular Synthesis of Zeolitic Imidazolate Framework Crystals

Zichao Rong, Zihao Chen, Felix Luong, Saumil Chheda, H. T. Nhan Luong, Zhiling Zheng, Kevin Greco, Abdullah A. Alghamdi, K. Huyen Bui, Theo Jaffrelot Inizan, Tung Nguyen-Dang, H. Hieu Pham, Dung D. Le, Joachim Sauer, Viet Bac T. Phung, Jennifer T. Chayes, Christian Borgs, Mario Boley, Laurent El Ghaoui, Omar M. Yaghi

Nature Synthesis, 2026

Finding Environmental-friendly Chemical Synthesis with AI and High-throughput Robotics

Vu Van Hao, Bui Khanh Huyen, Dang Dinh Dang Khoa, Duong Tuan Manh, Dung D. Le, Tung Nguyen-Dang

Journal of Science: Advanced Materials and Devices, 2025

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

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

Enhancing Few-shot Image Classification with Cosine Transformer

Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, and Hieu H. Pham

IEEE Access, 2023

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

En-ViMedNER: An English-Vietnamese Parallel Biomedical Corpus with UMLS Semantic Type Annotations

Nhu Vo, Phuong Nguyen, Nu Uyen Phuong Le, Iñigo Jauregi Unanue, Dung D. Le, Massimo Piccardi, Wray Buntine

EMNLP 2026 Findings

The Confidence Trap: Calibration Attacks for Graph Neural Networks

Dang Cao Cuong, Jiahao Zhang, HIEU TA QUANG, Dung D. Le, Lu Cheng, Suhang Wang

SIGKDD 2026 - Research Track

Memory-efficient Continual Learning with Prototypical Exemplar Condensation

Duong Minh Nguyen, Thien-Thanh Dao, Le-Tuan Nguyen, Dung D. Le, Kok-Seng Wong

Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026 Findings)

Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression

Minh-Duong Nguyen, Senura Hansaja Wanasekara, Le-Tuan Nguyen, Ken-Tye Yong, Quoc-Viet Pham, Nguyen H. Tran, Dung D. Le

Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026)

ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark

Tung X. Nguyen, Nhu Vo, Giang Son Nguyen, Duy Mai Hoang, Chien Dinh Huynh, Iñigo Jauregi Unanue, Massimo Piccardi, Wray Buntine, Dung D. Le

The Fifteenth biennial Language Resources and Evaluation Conference (LREC 2026)

CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization

Luong Tran, Lan-Cuong Nguyen, Huynh Dang Nguyen, Dat Nguyen Cong, Dung D. Le, Van Nguyen

The Fourteenth International Conference on Learning Representations (ICLR 2026)

PromptHG: Prompt-Enhanced Heterogeneous Graph for Personalized News Recommendation

Dang Kieu, Delvin Ce Zhang, Minh-Duc Nguyen, Qiang Wu, Min Xu, Dung D. Le

The 48th European Conference on Information Retrieval (ECIR 2026)

Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting

Quang-Huy Nguyen, Jin Zhou, Zhenzhen Liu, Huyen Bui, Kilian Q. Weinberger, Wei-Lun Chao, Dung D. Le

The IEEE/CVF Winter Conference on Applications of Computer Vision 2026 (WACV 2026)

JEPA4REC: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture

Minh-Anh Nguyen, Dung D. Le

The 2nd Conference on Language Modeling (COLM 2025)

Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning

Quoc-Anh Hoang Nguyen, The Hung Tran, Sunil Gupta, Dung D. Le

The 2025 European Conference on Machine Learning and Principles and Practice on Knowledge Discovery in Databases (ECMLPKDD 2025)

Provably Improving Generalization of Few-shot models with Synthetic Data

Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than

The 42th International Conference in Machine Learning (ICML 2025)

Enhancing News Recommendation with Hierarchical LLM Prompting

Dang Hai Kieu, Delvin Ce Zhang, Minh Duc Nguyen, Min Xum Qiang Wu, Dung D. Le

WWW '25: Companion Proceedings of the ACM on Web Conference 2025

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations

Dang Hai Kieu, Minh Duc Nguyen, Thanh-Son Nguyen, Dung D. Le

WWW '25: Companion Proceedings of the ACM on Web Conference 2025

VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning

Cuong Le Chi, Chau Truong Vinh Hoang, Phan Nhật Huy, Dung D. Le, Tien N Nguyen, Nghi D. Q. Bui

The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL 2025)

Improving Pareto Set Learning for Expensive Multi-Objective Optimization via Stein Variational Hypernetworks

Minh Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Hoang Phi Long, Dung D. Le

The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)

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

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

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)

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)

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

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)

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)

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)

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

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

Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval

Dung D. Le and Hady W. Lauw

AAAI Conference on Artificial Intelligence (AAAI-20), Feb 2020

Learning Multiple Maps from Conditional Ordinal Triplets

Dung D. Le and Hady W. Lauw

International Joint Conference on Artificial Intelligence (IJCAI'19), Aug 2019

Multiperspective Graph-Theoretic Similarity Measure

Dung D. Le and Hady W. Lauw

ACM Conference on Information and Knowledge Management (CIKM'18), Oct 2018

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

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

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

Preference Learning and Similarity Learning Perspectives on Personalized Recommendation

Duy Dung LE, Singapore Management University