Jun-Yi Hang
8 papers · 2022–2025 · 4 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
(20)
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(7)
Learning Types · Machine Learning
(7)
Artificial Intelligence
(2)
Deep Learning
(2)
Computer Vision
(1)
Analysis
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
multi-label classification
(4)
label-specific feature
(3)
metric learning
(2)
representation learning
(2)
outlier detection
(1)
similarity learning
(1)
multi-label learning
(1)
class imbalance
(1)
variational inference
(1)
partial label learning
(1)
binary classifier
(1)
cluster boundary
(1)
feature space
(1)
probabilistic graphical model
(1)
confidence region
(1)
normalizing flow
(1)
label disambiguation
(1)
open-set recognition
(1)
label correlation
(1)
probabilistic modeling
(1)
Papers
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
ICML 2025
Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
ICML 2024
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification
IJCAI 2024
Multi-Label Open Set Recognition
NeurIPS 2024
Can Label-Specific Features Help Partial-Label Learning?
AAAI 2023
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation
NeurIPS 2023
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification
ICML 2022
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification
AAAI 2022