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Dung D. Le
11 papers at tracked venues · 7 at CORE A* · active 2024–2026
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Venues
WWW
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AAAI
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ACL
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ECIR
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ECML-PKDD
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EMNLP
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ICML
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SIGIR
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WACV
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Frequent coauthors
Hai-Dang Kieu
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Huy Dao
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Quang-Huy Nguyen
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Quoc Anh Hoang Nguyen
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Minh-Duc Nguyen
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Lan-Cuong Nguyen
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Cuong Dang
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Ngoc-Hieu Nguyen
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Papers
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
WACV 2026
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Quang-Huy Nguyen
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PromptHG: Prompt-Enhanced Heterogeneous Graph for Personalized News Recommendation
ECIR 2026
·
Hai-Dang Kieu
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Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning
ECML-PKDD 2025
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Quoc Anh Hoang Nguyen
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Enhancing News Recommendation with Hierarchical LLM Prompting
WWW 2025
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Hai-Dang Kieu
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Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
AAAI 2025
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Minh-Duc Nguyen
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Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
WWW 2025
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Hai-Dang Kieu
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Provably Improving Generalization of Few-shot models with Synthetic Data
ICML 2025
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Lan-Cuong Nguyen
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A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
ACL 2024
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Cuong Dang
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Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation
SIGIR 2024
·
Huy Dao
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Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues
EMNLP 2024
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Huy Dao
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Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
WWW 2024
·
Ngoc-Hieu Nguyen
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