近年来主持国家自然科学基金、江西省自然科学基金、福建省自然科学基金等科研课题,发表学术论文30余篇。 指导学生发表论文情况(第一作者均为本人所指导的硕士生): (1) Zhao Ming; Zhang Yinglong; Xia Xuewen; Xu Xing; Motif-Aware Adversarial Graph Representation Learning, IEEE ACCESS, 2022, 10:8617-8626. SCI (2) Zhao Ming; Zhang Yinglong; GAN-based deep neural networks for graph representation learning, Engineering Reports, 2022, 4,1-14. EI ESCI (3) 鲁英杰,张应龙; 基于社会网络的结构多样性研究综述,数据分析与知识发现,2022,08,1-11. CSSCI、CSCD (4) 陈燕兵,张应龙;联合图的全局和局部互信息的重叠社团检测算法. 计算机应用研究,2023,40(08):2375-2381. CSCD (中国科协、CCF计算机领域高质量科技期刊T3类) (5) 陈燕兵,张应龙;图重构下大规模网络的社团检测算法.计算机应用研究,2023,40(02):470-475. CSCD (6) 欧阳勐涔,张应龙,夏学文,徐星;保留低阶和高阶关系的图表示深度学习集成算法,计算机应用研究,2023,40(04):1130-1136. CSCD (7) Mengcen Ouyang, Yinglong Zhang, Xuewen Xia and Xing Xu, GraRep++: Flexible Learning Graph Representations with Weighted Global Structural Information, IEEE Access, 2023,doi: 10.1109/ACCESS.2023.3313411.SCI (8) 鲁英杰;盛立琨;张应龙.面向文献评价的引文网络结构多样性研究.计算机应用研究,2024,41(2):408-414. (9) Shangying Yang;Yinglong Zhang;Jiawei E;Xuewen Xia;Xing Xu. Preserving node similarity adversarial learning graph representation with graph neural network.Engineering Reports,2024,e12854:1-21. EI ESCI (10)Jiawei E;Yinglong Zhang;Shangying Yang;Xuewen Xia;Xing Xu. GraphSAGE++: Weighted Multi-scale GNN for Graph Representation Learning. Neural Processing Letters,2024,56(24):1-25. SCI
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