Zhengkui Wang
10 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(3)
Natural Language Processing
(2)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
contrastive learning
(2)
label noise
(2)
label correlation
(2)
multi-label classification
(2)
self-supervised learning
(2)
representation learning
(2)
graph neural network
(2)
multi-label learning
(1)
data augmentation
(1)
multi-instance learning
(1)
direct preference optimization
(1)
cross-lingual transfer
(1)
text classification
(1)
semantic alignment
(1)
mathematical reasoning
(1)
feature representation
(1)
graph structure
(1)
mixed-norm regularization
(1)
low-resource language
(1)
curriculum learning
(1)
Papers
IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning
ACL 2026
Multi-graph Fusion Cross-model Contrastive Learning for Recommendation
AAAI 2026
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
AAAI 2026
When Equal Isn’t Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract)
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
Limited-Supervised Multi-Label Learning with Dependency Noise
AAAI 2024
Towards Robust Multi-Label Learning against Dirty Label Noise
IJCAI 2024
Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation
IJCAI 2023
Robust Self-Supervised Multi-Instance Learning with Structure Awareness
AAAI 2023