Yejiang Wang
7 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(4)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(14)
Conferences
AAAI (3)
ICML (2)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
multi-label classification
(2)
label noise
(2)
label correlation
(2)
multi-instance learning
(1)
multi-label learning
(1)
self-supervised learning
(1)
graph representation learning
(1)
graph structure
(1)
feature representation
(1)
proximal operator
(1)
prototype alignment
(1)
manifold constraint
(1)
optimal transport plan
(1)
optimal transport theory
(1)
graph contrastive learning
(1)
instance-dependent noise
(1)
self-supervised contrastive learning
(1)
graph neural network
(1)
graph self-supervised learning
(1)
noise matrix
(1)
Papers
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
AAAI 2026
Equivalence is All: A Unified View for Self-supervised Graph Learning
ICML 2025
N2GON: Neural Networks for Graph-of-Net with Position Awareness
ICML 2025
Towards Robust Multi-Label Learning against Dirty Label Noise
IJCAI 2024
Limited-Supervised Multi-Label Learning with Dependency Noise
AAAI 2024
GALOPA: Graph Transport Learning with Optimal Plan Alignment
NIPS 2023
Robust Self-Supervised Multi-Instance Learning with Structure Awareness
AAAI 2023