Hui Qu
9 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27) π£ Hot Topic Early Bird
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Conference Pioneer
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Research topics
Deep Learning
(7)
Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Optimization & Theory Β· Deep Learning
(3)
Optimization & Theory Β· Machine Learning
(3)
Computer Vision
(2)
Architectures
(2)
Domain-Specific
(2)
Learning Types Β· Machine Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Application Areas
(1)
Clinical
(1)
Keywords
deep neural network
(2)
stochastic gradient descent
(2)
motion estimation
(1)
object detection
(1)
preference optimization
(1)
medical imaging
(1)
knowledge distillation
(1)
model merging
(1)
model distillation
(1)
data augmentation
(1)
weakly supervised learning
(1)
distributed learning
(1)
image reconstruction
(1)
text-to-image generation
(1)
image generation
(1)
medical image segmentation
(1)
deep learning
(1)
neural network optimization
(1)
remote sensing
(1)
federated learning
(1)
Papers
MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models
CVPR 2026
Plug-and-Play Diffusion Distillation
CVPR 2024
Oriented Object Detection in Aerial Images With Box Boundary-Aware Vectors
WACV 2021
Learn distributed GAN with Temporary Discriminators
ECCV 2020
Local Regularizer Improves Generalization
AAAI 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
CVPR 2020
Dynamic MRI Reconstruction with Motion-Guided Network
MIDL 2019
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes
IJCAI 2019
Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images
MIDL 2019