| 2026 | ECIR | PromptHG: Prompt-Enhanced Heterogeneous Graph for Personalized News Recommendation. | Hai-Dang Kieu, Delvin Ce Zhang, Minh-Duc Nguyen, Qiang Wu, Min Xu, Dung D. Le |
| 2026 | LREC | ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark. | Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, Duy Mai Hoang, Chien Dinh Huynh, Inigo Jauregi Unanue, Massimo Piccardi, Wray L. Buntine, Dung D. Le |
| 2026 | WACV | Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting. | Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Wei-Lun Chao, Dung D. Le |
| 2025 | AAAI | Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks. | Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Long P. Hoang, Dung D. Le |
| 2025 | ICML | 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 |
| 2025 | WWW | Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations. | Hai-Dang Kieu, Minh-Duc Nguyen, Thanh-Son Nguyen, Dung D. Le |
| 2025 | WWW | Enhancing News Recommendation with Hierarchical LLM Prompting. | Hai-Dang Kieu, Delvin Ce Zhang, Minh Duc Nguyen, Min Xu, Qiang Wu, Dung D. Le |
| 2024 | ACL | A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models. | Cuong Dang, Dung D. Le, Thai Le |
| 2024 | COLING | Improving Vietnamese-English Medical Machine Translation. | Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine |
| 2024 | EMNLP | Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues. | Huy Dao, Yang Deng, Khanh-Huyen Bui, Dung D. Le, Lizi Liao |
| 2024 | WWW | Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training. | Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong |
| 2024 | SIGIR | Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation. | Huy Dao, Yang Deng, Dung D. Le, Lizi Liao |
| 2023 | AAAI | Improving Pareto Front Learning via Multi-Sample Hypernetworks. | Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang |
| 2023 | EMNLP | Reinforced Target-driven Conversational Promotion. | Huy Dao, Lizi Liao, Dung D. Le, Yuxiang Nie |
| 2023 | ICASSP | A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys. | Tan M. Nguyen, Tam Nguyen, Long Bui, Hai Do, Duy Khuong Nguyen, Dung D. Le, Hung Tran-The, Nhat Ho, Stanley J. Osher, Richard G. Baraniuk |
| 2022 | ICML | Improving Transformers with Probabilistic Attention Keys. | Tam Minh Nguyen, Tan Minh Nguyen, Dung D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher |
| 2022 | WSDM | Collaborative Curating for Discovery and Expansion of Visual Clusters. | Dung D. Le, Hady W. Lauw |
| 2020 | AAAI | Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval. | Dung D. Le, Hady W. Lauw |
| 2019 | IJCAI | Learning Multiple Maps from Conditional Ordinal Triplets. | Dung D. Le, Hady W. Lauw |
| 2018 | CIKM | Multiperspective Graph-Theoretic Similarity Measure. | Dung D. Le, Hady W. Lauw |
| 2017 | CIKM | Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation. | Dung D. Le, Hady W. Lauw |
| 2016 | SDM | Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization. | Dung D. Le, Hady Wirawan Lauw |