Qingyun Sun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
17
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space. | Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu |
| 2026 | AAAI | Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. | Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li |
| 2026 | AAAI | Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. | Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li |
| 2026 | AAAI | Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks. | Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li |
| 2026 | AAAI | SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation. | Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu |
| 2026 | AAAI | Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty. | Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou, Qingyun Sun, Jianxin Li |
| 2026 | KDD | Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective. | Yuecen Wei, Liu Yang, Beining Yang, Qingyun Sun, Hao Peng, Tianyu Wo, Chunming Hu, Xingcheng Fu |
| 2026 | WWW | Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation. | Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li |
| 2026 | WWW | Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model. | Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song |
| 2026 | WWW | Towards Geometry-Consistent Federated Graph Learning. | Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo, Chunming Hu |
| 2026 | WWW | RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. | Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li |
| 2026 | WWW | GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning. | Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li, Ziwei Zhang |
| 2025 | AAAI | Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. | Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li |
| 2025 | AAAI | Discrete Curvature Graph Information Bottleneck. | Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li |
| 2025 | AAAI | GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. | Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li |
| 2025 | AAAI | Prompt-based Unifying Inference Attack on Graph Neural Networks. | Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu |
| 2025 | AAAI | DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. | Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li |
| 2025 | ACL | Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? | Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li |
| 2025 | CIKM | Frontiers in Graph Machine Learning for the Large Model Era. | Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu |
| 2025 | CSCWD | VLM-PI: Power Inspection System Based on Visual Large Models. | Guang Li, Chenlin Wang, Qingyun Sun, Zhuohang Chen, Haoran Wang |
| 2025 | ICLR | IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. | Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu |
| 2025 | ICLR | ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. | Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li |
| 2025 | ICML | How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. | Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu |
| 2025 | IJCAI | OS-GCL: A One-Shot Learner in Graph Contrastive Learning. | Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li |
| 2025 | IJCAI | Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. | Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-E Wang, Chunming Hu, Xianxian Li, Xingcheng Fu |
| 2025 | IJCAI | An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. | Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu |
| 2025 | WWW | Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. | Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li |
| 2025 | WSDM | Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. | Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li |
| 2024 | AAAI | ReGCL: Rethinking Message Passing in Graph Contrastive Learning. | Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li |
| 2024 | AAAI | Poincar Differential Privacy for Hierarchy-Aware Graph Embedding. | Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu |
| 2024 | APWEB | ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. | Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li |
| 2024 | CIKM | L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. | Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li |
| 2024 | COLING | Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. | Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li |
| 2024 | ICML | Hyperbolic Geometric Latent Diffusion Model for Graph Generation. | Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li |
| 2024 | WWW | Dynamic Graph Information Bottleneck. | Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li |
| 2024 | SDM | MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. | Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li |
| 2023 | AAAI | Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. | Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu |
| 2023 | WWW | Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. | Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li |
| 2023 | WSDM | Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. | Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu |
| 2022 | AAAI | Graph Structure Learning with Variational Information Bottleneck. | Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu |
| 2022 | CIKM | Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. | Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu |
| 2022 | CIKM | Automating DBSCAN via Deep Reinforcement Learning. | Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu |
| 2022 | ICDM | Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. | Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li |
| 2022 | IWQoS | AIQoSer: Building the efficient Inference-QoS for AI Services. | Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu |
| 2022 | WWW | Curvature Graph Generative Adversarial Networks. | Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng |
| 2021 | AAAI | A Recipe for Global Convergence Guarantee in Deep Neural Networks. | Kenji Kawaguchi, Qingyun Sun |
| 2021 | CoRL | GRAC: Self-Guided and Self-Regularized Actor-Critic. | Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg |
| 2021 | ICDM | ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. | Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu |
| 2021 | WWW | SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. | Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He |
| 2020 | ICDM | Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. | Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He |
| 2019 | ICML | Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory. | Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun |
| 2018 | CVPR | A PID Controller Approach for Stochastic Optimization of Deep Networks. | Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang |
| 2018 | ICML | Convolutional Imputation of Matrix Networks. | Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd |