Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization. - Dung D. Le; Hady Wirawan Lauw (SDM, 2016)

Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation. - Dung D. Le; Hady W. Lauw (CIKM, 2017)

Multiperspective Graph-Theoretic Similarity Measure. - Dung D. Le; Hady W. Lauw (CIKM, 2018)

Learning Multiple Maps from Conditional Ordinal Triplets. - Dung D. Le; Hady W. Lauw (IJCAI, 2019)

Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval. - Dung D. Le; Hady W. Lauw (AAAI, 2020)

Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches. - Dung D. Le; Hady Wirawan Lauw (J. Artif. Intell. Res., 2021)

Collaborative Curating for Discovery and Expansion of Visual Clusters. - Dung D. Le; Hady W. Lauw (WSDM, 2022)

Enhancing Few-shot Image Classification with Cosine Transformer. - Quang-Huy Nguyen; Cuong Q. Nguyen; Dung D. Le; Hieu H. Pham 001; Minh N. Do (CoRR, 2022)

Improving Pareto Front Learning via Multi-Sample Hypernetworks. - Long P. Hoang; Dung D. Le; Tran Anh Tuan; Tran Ngoc Thang (AAAI, 2023)

Reinforced Target-driven Conversational Promotion. - Huy Dao; Lizi Liao; Dung D. Le; Yuxiang Nie (EMNLP, 2023)

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 (ICASSP, 2023)

Enhancing Few-Shot Image Classification With Cosine Transformer. - Quang-Huy Nguyen; Cuong Q. Nguyen; Dung D. Le; Hieu H. Pham 001 (IEEE Access, 2023)

Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation. - Huy Dao; Dung D. Le; Cuong Chu (CoRR, 2023)

Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold. - Tuc Nguyen-Van; Dung D. Le; The-Anh Ta (CoRR, 2023)

Controllable Expensive Multi-objective Optimization with Warm-starting Gaussian Processes. - Quang-Huy Nguyen; Long P. Hoang; Hoang V. Viet; Dung D. Le (CoRR, 2023)

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 (ACL (Findings), 2024)

Improving Vietnamese-English Medical Machine Translation. - Nhu Vo; Dat Quoc Nguyen; Dung D. Le; Massimo Piccardi; Wray L. Buntine (LREC/COLING, 2024)

Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues. - Huy Dao; Yang Deng 002; Khanh-Huyen Bui; Dung D. Le; Lizi Liao (EMNLP (Findings), 2024)

Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation. - Huy Dao; Yang Deng 002; Dung D. Le; Lizi Liao (SIGIR, 2024)

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 (WWW, 2024)

Towards Efficient Communication Federated Recommendation System via Low-rank Training. - Ngoc-Hieu Nguyen; Tuan-Anh Nguyen; Tuan Nguyen; Vu Tien Hoang; Dung D. Le; Kok-Seng Wong (CoRR, 2024)

Zero-shot Object-Level OOD Detection with Context-Aware Inpainting. - Quang-Huy Nguyen; Jin Peng Zhou; Zhenzhen Liu; Khanh-Huyen Bui; Kilian Q. Weinberger; Dung D. Le (CoRR, 2024)

Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings. - Phuong Dinh Mai; Duc-Trong Le; Tuan-Anh Hoang; Dung D. Le (CoRR, 2024)

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations. - Hai-Dang Kieu; Minh Duc Nguyen; Thanh-Son Nguyen; Dung D. Le (CoRR, 2024)

A framework for controllable Pareto front learning with completed scalarization functions and its applications. - Tran Anh Tuan; Long Phi Hoang; Dung D. Le; Tran Ngoc Thang (Neural Networks, 2024)

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 (AAAI, 2025)

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations. - Hai-Dang Kieu; Minh-Duc Nguyen; Thanh-Son Nguyen 001; Dung D. Le (WWW (Companion Volume), 2025)

Enhancing News Recommendation with Hierarchical LLM Prompting. - Dang Kieu; Delvin Ce Zhang; Minh Duc Nguyen; Min Xu 001; Qiang Wu 001; Dung D. Le (WWW (Companion Volume), 2025)

JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture. - Minh-Anh Nguyen; Dung D. Le (CoRR, 2025)

Enhancing News Recommendation with Hierarchical LLM Prompting. - Hai-Dang Kieu; Delvin Ce Zhang; Minh Duc Nguyen; Min Xu 001; Qiang Wu 001; Dung D. Le (CoRR, 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 (CoRR, 2025)

A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks. - Minh-Duc Nguyen; Dung D. Le (CoRR, 2025)

Robustness Evaluation of OCR-based Visual Document Understanding under Multi-Modal Adversarial Attacks. - Dong Nguyen Tien; Dung D. Le (CoRR, 2025)

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 (CoRR, 2025)