Hui Tang
16 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(80)
Top co-authors
Research topics
Machine Learning
(11)
Learning Types Β· Machine Learning
(10)
Computer Vision
(8)
Deep Learning
(8)
Application Areas
(6)
Learning Types Β· Deep Learning
(6)
Analysis
(4)
Domain-Specific
(4)
Artificial Intelligence
(3)
Processing
(3)
Healthcare & Medicine
(2)
Architectures
(2)
Clinical
(2)
Core AI
(2)
Core Methods
(2)
Keywords
domain adaptation
(4)
unsupervised domain adaptation
(3)
transfer learning
(3)
feature alignment
(2)
adversarial domain adaptation
(2)
semi-supervised learning
(2)
adversarial training
(2)
medical imaging
(2)
label propagation
(1)
adversarial learning
(1)
image classification
(1)
image restoration
(1)
geometry learning
(1)
object detection
(1)
image segmentation
(1)
self-supervised learning
(1)
interpretability
(1)
few-shot learning
(1)
prototype learning
(1)
graph anomaly detection
(1)
Papers
D^3FER: Dual Channel and Dual Branch Network for Robust Facial Expression Recognition under Dual Challenges
CVPR 2026
Concept-Based Unsupervised Domain Adaptation
ICML 2025
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
CVPR 2024
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)
AAAI 2024
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
CVPR 2023
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
WACV 2022
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers
ECCV 2022
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning
CVPR 2022
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds
ICCV 2021
Discriminative Adversarial Domain Adaptation
AAAI 2020
Object-Guided Instance Segmentation for Biological Images
AAAI 2020
Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract)
AAAI 2020
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
AAAI 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
CVPR 2020
Domain-Symmetric Networks for Adversarial Domain Adaptation
CVPR 2019
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
ECCV 2018