| Graph structure learning with variational information bottleneck Q Sun, J Li, H Peng, J Wu, X Fu, C Ji, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4165-4174, 2022 | 72 | 2022 |
| ACE-HGNN: adaptive curvature exploration hyperbolic graph neural network X Fu, J Li, J Wu, Q Sun, C Ji, S Wang, J Tan, H Peng, SY Philip 2021 IEEE international conference on data mining (ICDM), 111-120, 2021 | 24 | 2021 |
| Position-aware structure learning for graph topology-imbalance by relieving under-reaching and over-squashing Q Sun, J Li, H Yuan, X Fu, H Peng, C Ji, Q Li, PS Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 17 | 2022 |
| Curvature graph generative adversarial networks J Li, X Fu, Q Sun, C Ji, J Tan, J Wu, H Peng Proceedings of the ACM Web Conference 2022, 1528-1537, 2022 | 10 | 2022 |
| A three-phase approach to differentially private crucial patterns mining over data streams J Wang, C Liu, X Fu, X Luo, X Li Computers & Security 82, 30-48, 2019 | 9 | 2019 |
| Heterogeneous graph neural network for privacy-preserving recommendation Y Wei, X Fu, Q Sun, H Peng, J Wu, J Wang, X Li 2022 IEEE International Conference on Data Mining (ICDM), 528-537, 2022 | 6 | 2022 |
| Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification X Fu, Y Wei, Q Sun, H Yuan, J Wu, H Peng, J Li arXiv preprint arXiv:2304.05059, 2023 | 5 | 2023 |
| A robust and generalized framework for adversarial graph embedding J Li, X Fu, S Zhu, H Peng, S Wang, Q Sun, SY Philip, L He IEEE Transactions on Knowledge and Data Engineering, 2023 | 4 | 2023 |
| Higher-Order Memory Guided Temporal Random Walk for Dynamic Heterogeneous Network Embedding C Ji, T Zhao, Q Sun, X Fu, J Li Pattern Recognition, 109766, 2023 | 2 | 2023 |
| Does Graph Distillation See Like Vision Dataset Counterpart? B Yang, K Wang, Q Sun, C Ji, X Fu, H Tang, Y You, J Li arXiv preprint arXiv:2310.09192, 2023 | 1 | 2023 |
| Self-organization preserved graph structure learning with principle of relevant information Q Sun, J Li, B Yang, X Fu, H Peng, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4643-4651, 2023 | 1 | 2023 |
| Unbiased and Efficient Self-Supervised Incremental Contrastive Learning C Ji, J Li, H Peng, J Wu, X Fu, Q Sun, PS Yu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 1 | 2023 |
| Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization H Yuan, Q Sun, X Fu, Z Zhang, C Ji, H Peng, J Li arXiv preprint arXiv:2311.11114, 2023 | | 2023 |
| Heterogeneous graph neural network with semantic-aware differential privacy guarantees Y Wei, X Fu, D Yan, Q Sun, H Peng, J Wu, J Wang, X Li Knowledge and Information Systems, 1-26, 2023 | | 2023 |
| Adaptive curvature exploration geometric graph neural network X Fu, J Li, J Wu, J Qin, Q Sun, C Ji, S Wang, H Peng, PS Yu Knowledge and Information Systems 65 (5), 2281-2304, 2023 | | 2023 |
Qingyun SunAssistant Professor, Beihang UniversityVerified email at act.buaa.edu.cn
