Dung D. Le
10 papers · 2019–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (28)
💎
Century Club · Bronze
🌈
Renaissance Researcher
(8)
🗃️
Keyword Collector
(51)
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Applications · Natural Language Processing
(2)
Applications · Computer Science
(2)
Core AI
(2)
Core Methods
(2)
Models
(2)
Optimization
(2)
Computer Vision
(1)
Keywords
large language model
(2)
multi-objective optimization
(2)
reinforcement learning
(1)
metric learning
(1)
few-shot learning
(1)
matrix factorization
(1)
prototype learning
(1)
locality sensitive hashing
(1)
chain-of-thought reasoning
(1)
neural machine translation
(1)
multimodal learning
(1)
parallel corpus
(1)
policy learning
(1)
error detection
(1)
nearest neighbor search
(1)
object detection
(1)
generalization ability
(1)
approximate nearest neighbor
(1)
collaborative learning
(1)
zero-shot learning
(1)
Papers
Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression
CVPR 2026
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
WACV 2026
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
AAAI 2025
Provably Improving Generalization of Few-shot models with Synthetic Data
ICML 2025
VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
NAACL 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