Dat Nguyen
7 papers · 2022–2025 · 5 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
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Computer Vision
(3)
Analysis
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Healthcare & Medicine
(1)
Application Areas
(1)
Core AI
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Processing
(1)
Keywords
deepfake detection
(2)
graph neural network
(2)
multi-task learning
(2)
vision transformer
(2)
pre-trained model
(2)
transfer learning
(1)
graph representation learning
(1)
domain generalization
(1)
attention mechanism
(1)
medical imaging
(1)
few-shot learning
(1)
video synthesis
(1)
spatio-temporal modeling
(1)
video analysis
(1)
artifact detection
(1)
message passing
(1)
uncertainty sampling
(1)
magnetic resonance imaging
(1)
probabilistic model
(1)
anomaly detection
(1)
Papers
KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
ICML 2025
TRIKOP: Exploring Visual Prompting Paradigms for Multi-Grade Knee Osteoarthritis Classification on MRI Images
IJCAI 2025
Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection
ICCV 2025
LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
CVPR 2024
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
NeurIPS 2023
Active Learning Helps Pretrained Models Learn the Intended Task
NeurIPS 2022
Pure Transformers are Powerful Graph Learners
NeurIPS 2022