Binh Nguyen
9 papers · 2016–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π Cross-Pollinator (15)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
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Keyword Champion
Conferences
EMNLP (3)
NIPS (2)
COLING (1)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
model compression
(1)
generative modeling
(1)
image classification
(1)
contrastive learning
(1)
sample efficiency
(1)
semidefinite programming
(1)
transfer learning
(1)
domain adaptation
(1)
k-means clustering
(1)
graph matching
(1)
self-supervised learning
(1)
medical imaging
(1)
neural machine translation
(1)
deepfake detection
(1)
neural network optimization
(1)
vector quantization
(1)
stochastic process
(1)
adversarial attack
(1)
learning rate
(1)
heavy-tailed distribution
(1)
Papers
Task-driven Layerwise Additive Activation Intervention
NAACL 2025
What You Read Isnβt What You Hear: Linguistic Sensitivity in Deepfake Speech Detection
EMNLP 2025
Distributional Surgery for Language Model Activations
EMNLP 2025
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
ICML 2024
Bellman Optimal Stepsize Straightening of Flow-Matching Models
ICLR 2024
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
EMNLP 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
NIPS 2023
Multi-level Community-awareness Graph Neural Networks for Neural Machine Translation
COLING 2022
Fast learning rates with heavy-tailed losses
NIPS 2016