Haonan Yuan
12 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer
🧭
Keyword Pioneer
🏆
Grand Slam
🤝
Dynamic Duo
(11)
🗃️
Keyword Collector
(57)
⚡
Prolific Year
(6)
❓
The Questioner
💎
Century Club
(12)
Conferences
AAAI (9)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
graph neural network
(5)
information bottleneck
(3)
adversarial robustness
(2)
dynamic graph neural network
(2)
dynamic graph
(2)
representation learning
(2)
graph foundation model
(2)
mixture of expert
(2)
state space model
(2)
domain generalization
(1)
self-supervised learning
(1)
human activity recognition
(1)
graph representation learning
(1)
privacy preservation
(1)
model security
(1)
domain adaptation
(1)
self-attention mechanism
(1)
mutual information
(1)
label noise
(1)
message passing
(1)
Papers
Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
AAAI 2026
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
AAAI 2026
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
AAAI 2026
SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
AAAI 2026
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
AAAI 2025
How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
ICML 2025
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
ICLR 2025
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
AAAI 2025
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
AAAI 2025
Discrete Curvature Graph Information Bottleneck
AAAI 2025
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
AAAI 2024
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
NIPS 2023