I’m currently an associate professor in the School of Computer Science and Engineering / School of Software / School of Artificial Intelligence at Guangxi Normal University. Before that, I received my Ph.D. degree from Beihang University(BUAA), under the supervision of Prof. Jianxin Li.

My research interests include AI4Science, AI4Education, Geometric Deep Learning and Trustworthy AI. Please feel free to send me an email if interested to discuss or work together.

[Prospective students] Our group has positions for Ph.D. students, Master students, and visiting students. If you are interested, please send me an email with your CV and publications (if any).

🔥 News

2025.11 🎉 One paper is accepted by KDD 2026
2025.11 🎉 Five paper is accepted by AAAI 2026
2025.10 🎉 One paper is accepted by IEEE TPAMI
2025.09 🎉 Four paper is accepted by NeurIPS 2025
2025.07 🌟 We will organize a workshop regarding Frontiers in Graph Machine Learning for the Large Model Era in CIKM 2025. See you in Seoul!
2025.05 🌟 We will give a tutorial regarding Towards Low-Distortion Graph Representation Learning at IJCAI 2025. See you in Guangzhou!
2025.05 🌟 We host a challenge Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking at IJCAI 2025. Welcome to join!
2025.04 🎉 One paper is accepted by ICML 2025
2025.04 🎉 Four papers are accepted by IJCAI 2025
2025.04 🎉 One papers are accepted by CVPR 2025, and have been selected to be presented as a highlight.
2025.01 🎉 Two papers are accepted by ICLR 2025
2025.01 🎉 One paper is accepted by WWW 2025
2024.12 🎉 Five papers are accepted by AAAI 2025
2024.10 🎉 One paper is accepted by WSDM 2025
2024.09 🎉 One paper is accepted by NeurIPS 2024
2024.05 🎉 One paper is accepted by ICML 2024
2024.05 🌟 We host a challenge Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking in IEEE BigData Cup 2024
2024.01 🎉 One paper is accepted by WWW 2024

📝 Publications

* denotes equal contribution and # denotes corresponding author

2026:

KDD 2026 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.
AAAI 2026 Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space. Xingcheng Fu, Shengpeng Wang, Yisen Gao, Dongran Yu#, Chunpei Li, Qingyun Sun, Xianxian LI
AAAI 2026 (Oral) 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
AAAI 2026 SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation. Xingcheng Fu, Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu
AAAI 2026 (Oral) 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
AAAI 2026 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
IEEE TPAMI 2026 Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments. Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li and Philip S. Yu

2025:

NeurIPS 2025 Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction. Yisen Gao, Xingcheng Fu#, Qingyun Sun, Jianxin Li, Xianxian Li
NeurIPS 2025 (Spotlight) Robust Graph Condensation via Classification Complexity Mitigation. Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu
NeurIPS 2025 GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning, Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
NeurIPS 2025 GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation. Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li
ICML 2025 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
IJCAI 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning. Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li
IJCAI 2025 Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao#
IJCAI 2025 Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Xingcheng Fu#, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li
IJCAI 2025 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, Xingcheng Fu#, Xianxian Li
CVPR 2025 (Highlight) Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li#
ICLR 2025 (Spotlight) 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
ICLR 2025 ST-GCond: Self-supervised and Transferable Graph Dataset Condensation, Jiayi Luo, Qingyun Sun#, Haonan Yuan, Xingcheng Fu, Jianxin Li
WWW 2025 Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification, Beining Yang, Qingyun Sun#, Cheng Ji, Xingcheng Fu, Jianxin Li
AAAI 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. Zihao Guo, Qingyun Sun#, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
AAAI 2025 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
AAAI 2025 Discrete Curvature Graph Information Bottleneck. Xingcheng Fu#, Jian Wang, Yisen Gao, Qingyun Sun#, Haonan Yuan, Jianxin Li, Xianxian Li
AAAI 2025 (Oral) Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li
AAAI 2025 Prompt-based Unifying Inference Attack on Graph Neural Networks. Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu
WSDM 2025 Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li

2024:

NeurIPS 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation. Qingyun Sun*, Ziying Chen*, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
WWW 2024 Dynamic Graph Information Bottleneck. Haonan Yuan, Qingyun Sun#, Xingcheng Fu, Cheng Ji, Jianxin Li
ICML 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation. Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning. Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
AAAI 2024 Poincar'e Differentially Private for Hierarchy-aware Graph Emebedding. Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu

2023:

NeurIPS 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. Haonan Yuan, Qingyun Sun#, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
NeurIPS 2023 Does Graph Distillation See Like Vision Dataset Counterpart?. Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
WWW 2023 (Spotlight Paper) Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
IEEE TKDE 2023 A Robust and Generalized Framework for Adversarial Graph Embedding. Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
PR 2023 Higher-Order Memory Guided Temporal Random Walk for Dynamic Heterogeneous Network Embedding. Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li
WSDM 2023 Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
KAIS 2023 Adaptive Curvature Exploration Geometric Graph Neural Network. Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
KAIS 2023 Heterogeneous Graph Neural Network with Semantic-aware Differential Privacy Guarantees. Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Before 2022:

AAAI 2022 Graph Structure Learning with Variational Information Bottleneck. Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
WWW 2022 Curvature Graph Generative Adversarial Networks. Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
CIKM 2022 (Best Paper Honorable Mention Award) 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
ICDM 2022 Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
ICDM 2021 (Best Paper Candidate) 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

🏆 Honors and Awards

2023.12 Excellence Award in Pretrained Model-based Community Detection and Fraudulent Group Mining Competition @ICDM 2023
2022.10 CIKM 2022 Best Paper Honorable Mention Award
2021.10 ICDM 2021 Best Paper Candidate
2021.07 The First Prize at the 7th China “Internet+” Innovation and Entrepreneurship Competition (Beijing)

💬 Invited Talks

2025.01 AI TIME, AAAI 2025 Pre-talk ACT-BD session. [video]

💻 Service

Area Chair:

ICML 2026
ICLR 2025
EMNLP 2025

Conference Reviewer:

NeurIPS 2023/2024
ICLR 2023/2024/2025
ICML 2024/2025
AAAI 2022/2023/2024/2025
IJCAI 2024/2025
WWW 2021/2022/2024/2025
KDD 2021/2022/2024/2025
ICDM 2023
DASFFA 2024
ICASSP 2024/2025
AISTATS 2025

Journal Reviewer:

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
ACM Transactions on the Web (TWEB)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Cybernetics (TCYB)
Pattern Recognition (PR)
Neural Networks (NN)
International Journal of Machine Learning and Cybernetics (JMLC)
Journal of Computer Science and Technology (JCST)
Journal of Social Computing (JSC)

👩‍🎓 Students