I’m currently an assistant professor in the School of Computer Science and Engineering at Beihang University (BUAA). Before that, I received my Ph.D. degree from Beihang University, under the supervision of Prof. Jianxin Li. Further before, I obtained the B.S. degree from Xidian University.
My research interests include Data Mining, Deep Graph 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
- 2025.01 🎉 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
- 2024.08 🏆 Our paper has been awarded CCF Bigdata 2024 Best Paper Award
- 2024.08 🎉 One paper is accepted by Science China Information Science
- 2024.07 🎉 One paper is accepted by MM 2024
- 2024.07 🎉 One paper is accepted by CIKM 2024
- 2024.06 🎉 One paper is accepted by IJCAI 2024 GAAMAL
- 2024.05 🏆 I was grateful to be awared “Most Popular Speaker of the Year” at the Techbeat.net
- 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
- 2024.02 🎉 One paper is accepted by COLING 2024
- 2024.01 🎉 One paper is accepted by WWW 2024
📝 Publications
* denotes equal contribution and # denotes corresponding author
2025:
- 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, Beining Yang, Qingyun Sun#, Cheng Ji, Xingcheng Fu, Jianxin Li
- WWW 2025 Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification, Jiayi Luo, Qingyun Sun#, Haonan Yuan, 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 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
- SCIS 2024 Hierarchical graph structure learning with nonlinear information bottleneck. Qingyun Sun, Jiayi Luo, Beining Yang, Jianxin Li
- 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
- MM 2024 MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun#, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin 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
- SDM 2024 MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li
- COLING 2024 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
- CIKM 2024 L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li
- IJCAI 2024 GAAMAL Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs. Zichao Shen, Tianchen Zhu, Qingyun Sun#, Shiqi Gao, Jianxin Li
- Preprint Motif-driven Subgraph Structure Learning for Graph Classification. Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang
2023:
- IEEE TPAMI 2023 Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining. Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Phillp S. Yu
- AAAI 2023 Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
- 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
- Preprint Precise influence evaluation in complex networks. Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing 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
- CIKM 2022 Automating DBSCAN via Deep Reinforcement Learning. Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
- IWQoS 2022 (Best Paper Award) AIQoSer: Building the efficient Inference-QoS for AI Services. Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu
- ICDM 2022 Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
- ACM TWEB 2022 Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
- WWW 2021 (Most Influential WWW Papers) 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
- 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
- ICDM 2020 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
🏆 Honors and Awards
- 2024.08 CCF Bigdata 2024 Best Paper Award
- 2024.04 Most Popular Speaker of the Year” at the Techbeat.net
- 2023.12 Excellence Award in Pretrained Model-based Community Detection and Fraudulent Group Mining Competition @ICDM 2023
- 2023.09 2023 ACM China Beijing Doctoral Dissertation Award
- 2022.10 CIKM 2022 Best Paper Honorable Mention Award
- 2022.07 Huawei Scholarship
- 2022.10 IEEE IWQoS 2022 Best Paper Award
- 2022.06 The First Prize of 2022 CCF Academic Show (Ph.D. Group)
- 2021.10 ICDM 2021 Best Paper Candidate
- 2021.07 The First Prize at the 7th China “Internet+” Innovation and Entrepreneurship Competition (Beijing)
- 2021.03 Student Scholarship Award of The Web Conference 2021
💬 Invited Talks
- 2025.01 AI TIME, AAAI 2025 Pre-talk ACT-BD session. [video]
- 2024.12 LOG 2024 Kunshan Meetup, Towards Low-Distortion Graph Representation Learning.
- 2024.12 CCF Intelligence Transportation Systems Conference 2024, Research and Application of Graph Structure Learning and Long-Sequence Prediction.
- 2024.08 CCF Bigdata 2024, Graph Learning and Sequence Prediction Methods for Network Behavior Big Data.
- 2024.01 Datafun, Graph Learning in Dynamic Recommendation Scenarios. [video]
- 2023.12 Bytedance, Intelligent Computing for Complex Graphs.
- 2023.11 The First Academic Forum on Frontiers in Social Group Intelligence, Graph Learning for Nework Behavior Big Data.
- 2023.07 2023 the 4th International Conference on Big Data and Artificial Intelligence (BDAI), Intelligent Computing for Complex Graphs.
- 2023.06 LOGS, Topology Inbalance in Graph Learning. [video]
- 2023.05 Techbeat, Topological Imbalance in Graph Learning. [video]
💻 Service
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
- Z. Guo (2024-now, master)
- Z. Shen (2024-now, master)
- Z. Wang (2024-now, master)
- W. Xie (2024-now, master)
- Z. Wang (2024-now, master)
- T. Gong (2023-now, master)
- H. Yuan (2022-now, Ph.D.)
- F. Lu (2022-now, Ph.D.)
- B. Yang (2021-2023, master → Ph.D. at University of Edinburgh)
- Z. Chen (2023-2024, Intern → Ph.D. at University of Edinburgh)
- Y. Gao (2022-now, Intern → master at HKUST)