Yue Ning
7 papers · 2021–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
electronic health record
(3)
graph neural network
(2)
catastrophic forgetting
(1)
metric learning
(1)
causal discovery
(1)
graph learning
(1)
attention mechanism
(1)
graph representation learning
(1)
weakly supervised learning
(1)
multi-label classification
(1)
out-of-distribution generalization
(1)
knowledge base
(1)
distribution shift
(1)
node classification
(1)
structural causal model
(1)
clinical note
(1)
graph coarsening
(1)
medical image
(1)
interpretable prediction
(1)
icd coding
(1)
Papers
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
AISTATS 2025
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery
EMNLP 2025
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
NeurIPS 2024
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning
NeurIPS 2023
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
AAAI 2022
Weakly-Supervised Metric Learning With Cross-Module Communications for the Classification of Anterior Chamber Angle Images
CVPR 2022
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
IJCAI 2021