Tianlong Gu
4 papers · 2024–2026 · 2 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(2)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
AAAI (3)
ACML (1)
Top co-authors
Keywords
graph neural network
(2)
variational inference
(1)
adversarial training
(1)
false positive rate
(1)
disentangled representation
(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)
federated learning
(1)
heterogeneity modeling
(1)
Papers
FairGSE: Fairness-Aware Graph Neural Network Without High False Positive Rates
AAAI 2026
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
AAAI 2025
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
AAAI 2025
Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes
ACML 2024