Dung D. Le

Orcid: 0000-0003-0364-9393

According to our database1, Dung D. Le authored at least 25 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2016
2017
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2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A framework for controllable Pareto front learning with completed scalarization functions and its applications.
Neural Networks, January, 2024

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations.
CoRR, 2024

Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings.
CoRR, 2024

Zero-shot Object-Level OOD Detection with Context-Aware Inpainting.
CoRR, 2024

Towards Efficient Communication Federated Recommendation System via Low-rank Training.
CoRR, 2024

Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training.
Proceedings of the ACM on Web Conference 2024, 2024

Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving Vietnamese-English Medical Machine Translation.
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.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Controllable Expensive Multi-objective Optimization with Warm-starting Gaussian Processes.
CoRR, 2023

Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold.
CoRR, 2023

Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation.
CoRR, 2023

Enhancing Few-Shot Image Classification With Cosine Transformer.
IEEE Access, 2023

A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys.
Proceedings of the IEEE International Conference on Acoustics, 2023

Reinforced Target-driven Conversational Promotion.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Pareto Front Learning via Multi-Sample Hypernetworks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Enhancing Few-shot Image Classification with Cosine Transformer.
CoRR, 2022

Collaborative Curating for Discovery and Expansion of Visual Clusters.
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.
J. Artif. Intell. Res., 2021

2020
Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Multiple Maps from Conditional Ordinal Triplets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Multiperspective Graph-Theoretic Similarity Measure.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016


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