Dung D. Le

According to our database, Dung D. Le authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

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

Improving Vietnamese-English Medical Machine Translation.

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

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

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

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

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