徐海云，女，汉族，中共党员，安徽蚌埠人，工学博士，研究方向为图结构化学习，讲授《多元统计分析》《数据挖掘与应用》《python程序设计》《高等数学》等课程。
教育经历：
2015.09至2018.06， 安徽大学，统计学，硕士
2018.09至2023.06， 安徽大学，计算机科学与技术，博士
工作经历：
2023.06-至今，beat365中国官方网站数学与大数据学院，教师
发表论文：
[1] Xu H U , Li X I , Yang W ,et al.Laws of large numbers with infinite mean[J].Journal of Mathematical Inequalities, 2019(2):335-349.DOI:10.7153/jmi-2019-13-24.(SCI 3区)
[2] Haiyun Xu; Bo Jiang; Lili Huang; Jin Tang; Shaojie Zhang ; Multi-head Collaborative Learning for Graph Neural Networks, Neurocomputing, 2022, 499((2022) 4: 47-53. (SCI 2区)
[3] Haiyun Xu; Lili Huang; Bo Jiang; Jin Tang; Shaojie Zhang ; Semi-supervised Learning viaMultiple Layer Graph Regularized Perception, 2022 26th International Conference on Pattern Recognition (ICPR).（CCF C）
[4] Haiyun Xu; Shaojie Zhang; Bo Jiang; Jin Tang ; Graph context-attention network via low and high order aggregation, Neurocomputing, 2023, 536: 152-163 (SCI 2区) [5] H. Xu, Y. Wu and Z. Jing, "Graph Regularization Attention Networks,"2025 International Conference on Algorithm, Artificial Intelligence and Computer Vision (AAICV), London, United Kingdom, 2025, pp. 15-19.（EI）
[6] Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu and Bin Luo. DropAGG: Robust Graph Neural Networks via Drop Aggregation[J]. Neural Network, 2023.(SCI 2区）
[7] Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu and Jin Tang. GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022.(SCI 1区）