Qingyun Sun

33 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌍 Conference Polyglot (9) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)

🌈 Renaissance Researcher (11) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🤝 Dynamic Duo (19) 🏆 Grand Slam 🔬 Deep Specialist (17) 🧬 Topic Evolution 🏆 Keyword Champion 🗃️ Keyword Collector (142) ⚡ Prolific Year (5) 🔥 Unstoppable (5) 💎 Century Club (27) ❓ The Questioner (3)

Conferences

AAAI (16) ICML (4) NIPS (4) IJCAI (3) ICLR (2) ACL (1) COLING (1) CORL (1) CVPR (1)

Top co-authors

Xingcheng Fu (24) Jianxin Li (20) Haonan Yuan (11) Cheng Ji (9) Hao Peng (9) Xianxian Li (7) Yuecen Wei (6) Yisen Gao (6) Beining Yang (5) Philip S. Yu (4)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

graph neural network (14) representation learning (4) graph representation learning (4) information bottleneck (4) privacy leakage (3) message passing (3) graph structure learning (3) large language model (3) node classification (3) mixture of expert (2) deep neural network (2) dynamic graph (2) variational information bottleneck (2) causal inference (2) mutual information (2) gradient descent (2) self-supervised learning (2) information theory (2) adversarial robustness (2) variational inference (2)

Papers

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks AAAI 2026 Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space AAAI 2026 Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2026 Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty AAAI 2026 Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning AAAI 2026 SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation AAAI 2026 Discrete Curvature Graph Information Bottleneck AAAI 2025 Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck AAAI 2025 DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models AAAI 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks IJCAI 2025 IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning ICLR 2025 Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning IJCAI 2025 ST-GCond: Self-supervised and Transferable Graph Dataset Condensation ICLR 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning IJCAI 2025 How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees ICML 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts AAAI 2025 Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025 Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph COLING 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation NIPS 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation ICML 2024 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023 Does Graph Distillation See Like Vision Dataset Counterpart? NIPS 2023 Graph Structure Learning with Variational Information Bottleneck AAAI 2022 A Recipe for Global Convergence Guarantee in Deep Neural Networks AAAI 2021 GRAC: Self-Guided and Self-Regularized Actor-Critic CORL 2021 Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ICML 2019 Neural Proximal Gradient Descent for Compressive Imaging NIPS 2018 A PID Controller Approach for Stochastic Optimization of Deep Networks CVPR 2018 Convolutional Imputation of Matrix Networks ICML 2018