Junda Ye
6 papers · 2022–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(6)
Deep Learning
(4)
Architectures
(4)
Core Methods
(3)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Generation
(1)
Learning Paradigms
(1)
Mathematics
(1)
Optimization
(1)
Keywords
graph neural network
(3)
contrastive learning
(3)
riemannian geometry
(2)
self-supervised learning
(2)
representation learning
(2)
transfer learning
(1)
domain adaptation
(1)
source localization
(1)
graph clustering
(1)
optimal transport
(1)
knowledge distillation
(1)
cross-domain learning
(1)
task-oriented dialogue
(1)
graph structure
(1)
probability distribution
(1)
riemannian manifold
(1)
decision boundary
(1)
out-of-distribution detection
(1)
cross-domain adaptation
(1)
graph convolutional network
(1)
Papers
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
AAAI 2026
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation
IJCAI 2025
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces
IJCAI 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
AAAI 2023
AISFG: Abundant Information Slot Filling Generator
NAACL 2022
A Self-Supervised Mixed-Curvature Graph Neural Network
AAAI 2022