Dang Nguyen
22 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (6)
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Conference Polyglot
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Academic Marathon
(8)
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(35)
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Mega-Team
(30)
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Grand Slam
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Topic Evolution
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Prolific Year
(7)
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Keyword Collector
(93)
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Century Club
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Conferences
ICML (5)
ACL (3)
NAACL (3)
AAAI (2)
ACML (2)
ECCV (2)
ICLR (2)
SEMEVAL (2)
NIPS (1)
Top co-authors
Keywords
large language model
(4)
optimal transport
(2)
mini batch
(2)
gradient flow
(2)
named entity recognition
(2)
domain adaptation
(2)
adversarial learning
(2)
adversarial machine learning
(1)
text generation
(1)
medical imaging
(1)
sliced wasserstein distance
(1)
semantic parsing
(1)
dependency parsing
(1)
multimodal learning
(1)
response generation
(1)
deep learning
(1)
feature attribution
(1)
data augmentation
(1)
data-free learning
(1)
instruction following
(1)
Papers
RuleR: Improving LLM Controllability by Rule-based Data Recycling
NAACL 2025
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
ACL 2025
Synthetic Text Generation for Training Large Language Models via Gradient Matching
ICML 2025
GUI Agents: A Survey
ACL 2025
GPT-4V Cannot Generate Radiology Reports Yet
NAACL 2025
Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
ICLR 2025
Multi-Objective Linguistic Control of Large Language Models
ACL 2024
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior
ACML 2024
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
ICLR 2024
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks
AAAI 2024
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
ACML 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
ICML 2023
DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition
SEMEVAL 2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
ECCV 2022
Black-Box Few-Shot Knowledge Distillation
ECCV 2022
On Transportation of Mini-batches: A Hierarchical Approach
ICML 2022
Improving Mini-batch Optimal Transport via Partial Transportation
ICML 2022
DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition
NAACL 2022
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
NIPS 2022
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
AAAI 2020
DeepCoDA: personalized interpretability for compositional health data
ICML 2020
UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR
SEMEVAL 2017