Hui Tang
15 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7) 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (5)
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Academic Marathon
(7)
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Interdisciplinary Bridge
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Cross-Pollinator
(8)
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Unstoppable
(8)
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Conference Pioneer
💎
Century Club
(15)
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Prolific Year
(5)
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Keyword Collector
(71)
Conferences
AAAI (5)
CVPR (5)
ECCV (2)
ICCV (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
transfer learning
(3)
unsupervised domain adaptation
(3)
domain adaptation
(3)
medical imaging
(2)
semi-supervised learning
(2)
feature alignment
(2)
adversarial domain adaptation
(2)
label propagation
(1)
adversarial learning
(1)
image classification
(1)
geometry learning
(1)
image restoration
(1)
image segmentation
(1)
object detection
(1)
self-supervised learning
(1)
few-shot learning
(1)
prototype learning
(1)
graph anomaly detection
(1)
knowledge distillation
(1)
feature learning
(1)
Papers
Concept-Based Unsupervised Domain Adaptation
ICML 2025
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)
AAAI 2024
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
CVPR 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
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning
CVPR 2022
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers
ECCV 2022
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds
ICCV 2021
Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract)
AAAI 2020
Object-Guided Instance Segmentation for Biological Images
AAAI 2020
Discriminative Adversarial Domain Adaptation
AAAI 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
CVPR 2020
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
AAAI 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