Tianlong Gu
4 papers · 2024–2026 · 2 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
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Research topics
Artificial Intelligence
(4)
Deep Learning
(4)
Architectures
(3)
Core AI
(3)
Machine Learning
(2)
Learning Types · Deep Learning
(2)
Natural Language Processing
(1)
Applications
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
graph neural network
(3)
variational inference
(1)
graph representation learning
(1)
adversarial training
(1)
false positive rate
(1)
disentangled representation
(1)
counterfactual fairness
(1)
local differential privacy
(1)
exposure bia
(1)
structural entropy
(1)
heterophilic graph
(1)
text correction
(1)
graph federated learning
(1)
decoding intervention
(1)
inter-intra heterogeneity
(1)
chinese unnatural text
(1)
hierarchical variational model
(1)
heterogeneity modeling
(1)
federated learning
(1)
sensitive attribute estimation
(1)
Papers
FairGSE: Fairness-Aware Graph Neural Network Without High False Positive Rates
AAAI 2026
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
AAAI 2025
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
AAAI 2025
Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes
ACML 2024