Binh Nguyen
11 papers · 2016–2026 · 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 ↓+5 more ↓ Show less ↑
🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver
🧬
Topic Evolution
🏆
Keyword Champion
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(58)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(5)
Optimization & Theory
(5)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Computer Science
(1)
Computer Vision
(1)
Speech & Audio
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
Keywords
generative modeling
(1)
image classification
(1)
contrastive learning
(1)
sample efficiency
(1)
image generation
(1)
semidefinite programming
(1)
transfer learning
(1)
domain adaptation
(1)
k-means clustering
(1)
graph matching
(1)
optimal transport
(1)
self-supervised learning
(1)
medical imaging
(1)
knowledge distillation
(1)
neural machine translation
(1)
deepfake detection
(1)
flow matching
(1)
model aggregation
(1)
neural network optimization
(1)
model compression
(1)
Papers
HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
CVPR 2026
Distributional Surgery for Language Model Activations
EMNLP 2025
Task-driven Layerwise Additive Activation Intervention
NAACL 2025
Turing's Echo: Investigating Linguistic Sensitivity of Deepfake Voice Detection via Gamification
Interspeech 2025
What You Read Isn’t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection
EMNLP 2025
Bellman Optimal Stepsize Straightening of Flow-Matching Models
ICLR 2024
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
ICML 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
NeurIPS 2023
Multi-level Community-awareness Graph Neural Networks for Neural Machine Translation
COLING 2022
Fast learning rates with heavy-tailed losses
NeurIPS 2016