Dung D. Le

According to our database, Dung D. Le authored at least 34 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 2025

Robustness Evaluation of OCR-based Visual Document Understanding under Multi-Modal Adversarial Attacks.

Dong Nguyen Tien, Dung D. Le

CoRR, June, 2025

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

Minh-Duc Nguyen, Dung D. Le

CoRR, June, 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, May, 2025

Enhancing News Recommendation with Hierarchical LLM Prompting.

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

CoRR, April, 2025

JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture.

Minh-Anh Nguyen, Dung D. Le

CoRR, April, 2025

Enhancing News Recommendation with Hierarchical LLM Prompting.

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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, January, 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

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

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 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

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

Proceedings of the ACM on Web Conference 2024, 2024

Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation.

Huy Dao, Yang Deng, Dung D. Le, Lizi Liao

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving Vietnamese-English Medical Machine Translation.

Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold.

Tuc Nguyen-Van, Dung D. Le, The-Anh Ta

CoRR, 2023

Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation.

Huy Dao, Dung D. Le, Cuong Chu

CoRR, 2023

Enhancing Few-Shot Image Classification With Cosine Transformer.

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

IEEE Access, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

Reinforced Target-driven Conversational Promotion.

Huy Dao, Lizi Liao, Dung D. Le, Yuxiang Nie

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Pareto Front Learning via Multi-Sample Hypernetworks.

Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Enhancing Few-shot Image Classification with Cosine Transformer.

Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham, Minh N. Do

CoRR, 2022

Collaborative Curating for Discovery and Expansion of Visual Clusters.

Dung D. Le, Hady W. Lauw

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

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

2020

Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval.

Dung D. Le, Hady W. Lauw

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Multiple Maps from Conditional Ordinal Triplets.

Dung D. Le, Hady W. Lauw

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Multiperspective Graph-Theoretic Similarity Measure.

Dung D. Le, Hady W. Lauw

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation.

Dung D. Le, Hady W. Lauw

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization.

Dung D. Le, Hady Wirawan Lauw

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016