Qingyun Sun

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 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 Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2026 Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space AAAI 2026 An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks IJCAI 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 Discrete Curvature Graph Information Bottleneck AAAI 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts 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 Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning IJCAI 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning IJCAI 2025 Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025 ST-GCond: Self-supervised and Transferable Graph Dataset Condensation ICLR 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 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 NeurIPS 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation ICML 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NeurIPS 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 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 A PID Controller Approach for Stochastic Optimization of Deep Networks CVPR 2018 Convolutional Imputation of Matrix Networks ICML 2018 Neural Proximal Gradient Descent for Compressive Imaging NeurIPS 2018