Jingxin Liu
10 papers · 2020–2026 · 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 (16) π Century Club Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Paradigms
(4)
Computer Vision
(2)
Architectures
(2)
Processing
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Domain-Specific
(1)
Keywords
federated learning
(5)
graph clustering
(4)
graph neural network
(2)
image restoration
(1)
motion deblurring
(1)
knowledge transfer
(1)
feature embedding
(1)
motion blur
(1)
consensus learning
(1)
generative adversarial network
(1)
deep metric learning
(1)
feature fusion
(1)
non-iid data
(1)
federated graph learning
(1)
color constancy
(1)
non-iid graph
(1)
illuminant estimation
(1)
triplet network
(1)
attribute inference
(1)
image appearance
(1)
Papers
Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering
AAAI 2026
Federated Graph-level Clustering Network with Attribute Inference
AAAI 2026
Personalized Federated Graph-Level Clustering Network
AAAI 2026
Federated Graph-Level Clustering Network
AAAI 2025
Federated Node-Level Clustering Network with Cross-Subgraph Link Mending
ICML 2025
A Dataset and Model for Realistic License Plate Deblurring
IJCAI 2024
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring
MICCAI 2024
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
MICCAI 2024
Geometry-Aware Single-Image Full-Body Human Relighting
ECCV 2022
End-to-End Illuminant Estimation Based on Deep Metric Learning
CVPR 2020