Zichong Wang
8 papers · 2025–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
⭐
Rising Star
(8)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Application Areas
(6)
Architectures
(5)
Models
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Representation
(1)
Keywords
graph neural network
(5)
bias mitigation
(3)
disentangled representation
(2)
fair graph learning
(2)
sensitive attribute
(2)
group fairness
(2)
demographic inference
(2)
sampling step
(1)
fair machine learning
(1)
node representation
(1)
individual fairness
(1)
demographic parity
(1)
demographic fairness
(1)
graph pooling
(1)
label imputation
(1)
inference time
(1)
certified unlearning
(1)
feature bia
(1)
disentangled learning
(1)
graph unlearning
(1)
Papers
Fair Graph Learning with Limited Sensitive Attribute Information
AAAI 2026
GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
AAAI 2026
fairGNN-WOD: Fair Graph Learning Without Complete Demographics
IJCAI 2025
Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
AAAI 2025
FDGen: A Fairness-Aware Graph Generation Model
ICML 2025
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
ICML 2025
Towards Fair Graph Learning without Demographic Information
AISTATS 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025