Hung Vu
7 papers · 2017–2026 · 4 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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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π
Conference Pioneer
π
Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(6)
Architectures
(5)
Models
(5)
Computer Vision
(3)
Machine Learning
(3)
Analysis
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Domain-Specific
(1)
Techniques
(1)
Keywords
generative adversarial network
(3)
mode collapse
(3)
unsupervised learning
(3)
generative model
(2)
video surveillance
(2)
anomaly detection
(1)
scene understanding
(1)
batch normalization
(1)
kl divergence
(1)
clinical diagnosis
(1)
feature representation
(1)
video analysis
(1)
kullback-leibler divergence
(1)
geometric optimization
(1)
deep boltzmann machine
(1)
denoising autoencoder
(1)
data distribution
(1)
deep generative model
(1)
data manifold
(1)
deep generative network
(1)
Papers
GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis
AAAI 2026
Learning Generative Adversarial Networks from Multiple Data Sources
IJCAI 2019
Robust Anomaly Detection in Videos Using Multilevel Representations
AAAI 2019
Batch Normalized Deep Boltzmann Machines
ACML 2018
Geometric Enclosing Networks
IJCAI 2018
Deep Abnormality Detection in Video Data
IJCAI 2017
Dual Discriminator Generative Adversarial Nets
NeurIPS 2017