Dung D. Le
9 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (7) π Renaissance Researcher (10) π Interdisciplinary Bridge π Cross-Pollinator (15)
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
Conferences
AAAI (3)
COLING (1)
EMNLP (1)
ICML (1)
IJCAI (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
multi-objective optimization
(2)
large language model
(2)
zero-shot learning
(1)
matrix factorization
(1)
object detection
(1)
chain-of-thought reasoning
(1)
multimodal learning
(1)
collaborative learning
(1)
parallel corpus
(1)
policy learning
(1)
error detection
(1)
nearest neighbor search
(1)
locality sensitive hashing
(1)
approximate nearest neighbor
(1)
monte-carlo tree search
(1)
neural machine translation
(1)
monte carlo tree search
(1)
image inpainting
(1)
metric learning
(1)
reinforcement learning
(1)
Papers
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
WACV 2026
VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
NAACL 2025
Provably Improving Generalization of Few-shot models with Synthetic Data
ICML 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
AAAI 2025
Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues
EMNLP 2024
Improving Vietnamese-English Medical Machine Translation
COLING 2024
Improving Pareto Front Learning via Multi-Sample Hypernetworks
AAAI 2023
Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval
AAAI 2020
Learning Multiple Maps from Conditional Ordinal Triplets
IJCAI 2019