教育经历
2009.09-2013.07郑州大学计算机科学与技术（信息安全）学士
2016.09-2019.06河南财经政法大学计算机应用技术硕士
2019.09-2024.06东南大学计算机科学与技术博士
工作经历
2013.07-2016.03河南正达房地产评估测绘咨询有限公司信息化专员
教学方向
计算机网络、Java程序设计
研究方向
隐私保护、数据挖掘、机器学习
学术成果与荣誉
[1]Fu N, Wang J, Xu Y,et al.Distributed clustering under local differential privacy[J].Knowledge-Based Systems, 2026, 333(c):114994.（SCI中科院一区）
[2]付楠,倪巍伟,姜泽鹏,等.基于本地化边差分隐私的有向图聚类方法[J].计算机研究与发展, 2025, 62(1): 256-268. (CCF T1类）
[3]Fu N, Ni W, Hou L, et al. Community detection in decentralized social networks with local differential privacy [J]. Information Sciences, 2024, 661:120164. (SCI中科院一区，CCF B类期刊）
[4]Fu N, Ni W, Zhang S, et al. GC-NLDP: A graph clustering algorithm with local differential privacy [J]. Computers & Security, 2023, 124: 102967. (SCI中科院二区，CCF B类期刊）
[5]Fu N, Ni W, Hu H, et al. Multidimensional grid-based clustering with local differential privacy [J]. Information Sciences, 2023, 623: 402-420. (SCI中科院一区，CCF B类期刊）
[6]张啸剑,付楠,孟小峰.基于本地差分隐私的键-值数据精确收集方法[J].计算机学报,2020,43(08):1479-1492.(CCF T1类）
[7]张啸剑,付楠,孟小峰.基于本地差分隐私的空间范围查询方法[J].计算机研究与发展,2020,57(04):847-858.(CCF T1类）
[8]Zhang R, Ni W,Fu N,et al. Principal Angle-Based Clustered Federated Learning With Local Differential Privacy for Heterogeneous Data[J].IEEE Transactions on Information Forensics and Security, 20[2026-03-31].(SCI中科院一区，CCF A类期刊）
[9]Hou L, Ni W,Fu N,et al.Diffusion-Based Heterogeneous Graph Synthesis Under Local Differential Privacy[J].IEEE Transactions on Dependable and Secure Computing, 22[2026-03-31].DOI:10.1109/TDSC.2025.3595905.(SCI中科院二区，CCF A类期刊）
[10]L. Hou, W. Ni,N. Fu, D. Zhang and R. Zhang, "PEGS: A Graph Synthesis Approach Based on Local Differential Privacy Preference," in IEEE Transactions on Knowledge and Data Engineering, vol. 38, no. 2, pp. 1236-1248, Feb. 2026, doi: 10.1109/TKDE.2025.3637324.(SCI中科院一区，CCF A类期刊）
[11]Zhang D, Ni W,Fu N,et al. Locally Differentially Private Trajectory Publication Based on Regional Popularity Awareness[J].IEEE Transactions on Information Forensics and Security, 2025, 20(20):6719-6732.(SCI中科院一区，CCF A类期刊）
[12]Zhang D, Ni W,Fu N, et al. Locally differentially private multi-dimensional data collection via haar transform [J]. Computers & Security, 2023, 130: 103291. (SCI中科院二区，CCF B类期刊）
参与项目
1.军科委,国家重大基础研究项目, 69090008294, HZFZ知识挖掘, 2024-01至2027-12,项目主要成员。
2.海军装备发展部,十四五预研专业技术项目, 3020902040201, QT智能化数据管控与运用技术, 2022-04至2025-11,项目主要成员。
3.国网江苏省电力有限公司,非可信环境多数据主体信息安全共享技术和挖掘建模技术研究，2021-01至2022-12，项目主要成员.
