Guangyu Sun
12 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (26)
π§
Keyword Pioneer
π§¬
Topic Evolution
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Application Areas
(5)
Artificial Intelligence
(3)
Computer Vision
(3)
Models
(3)
Security & Privacy
(2)
Analysis
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Optimization & Theory Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Healthcare & Medicine
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
differential privacy
(3)
federated learning
(2)
membership attack
(2)
vision transformer
(1)
adaptive inference
(1)
secure computation
(1)
stochastic gradient descent
(1)
image-to-image translation
(1)
model aggregation
(1)
medical image analysis
(1)
generative adversarial network
(1)
diffusion model
(1)
convolutional neural network
(1)
deep convolutional neural network
(1)
data heterogeneity
(1)
flow matching
(1)
stochastic gradient langevin dynamics
(1)
generalization gap
(1)
bayesian neural network
(1)
privacy attack
(1)
Papers
Geo2: Geometry-Guided Cross-view Geo-Localization and Image Synthesis
CVPR 2026
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
WACV 2025
Towards Multi-modal Transformers in Federated Learning
ECCV 2024
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
ICCV 2023
Latency-aware Spatial-wise Dynamic Networks
NeurIPS 2022
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization
ECCV 2022
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
AAAI 2020
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
ECCV 2020
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference
IJCAI 2019
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
AAAI 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
NeurIPS 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
CVPR 2019