江发真：河南洛阳，1994年10月生，博士研究生。2025年6月博士毕业于北京航空航天大学网络空间安全学院，获电子信息博士学位。
联系方式：fazhenjiang@163.com
科研情况：
研究领域：信息安全、人工智能、深度学习、联邦学习、隐私保护
科研项目：工业和信息化部“十四五”规划教材《深度学习教程》 编写团队成员
国家自然科学基金《基于深度学习的多源遥感图像融合算法研究》成员
获得奖励：
数学建模三等奖、研究生学业奖学金一等奖、研究生科研创新节目主持人、校级单项奖励
代表论文：
[1]. Fazhen Jiang, Xiaoyuan Yang, Yixiao Li, Luxuan Li, Fedmpo: federated optimization based on multidimensional especially 3-dimensional proximal operator[J]. International Journal of Machine Learning and Cybernetics, 2023, 15:1075-1085.
[2].Fazhen Jiang, Xiaoyuan Yang, Huwei Ren, Zhengze Li, Kangqing Shen, Jin Jiang, Yixiao Li, DuaFace: Data uncertainty in angular based loss for face recognition[J]. Pattern Recognition Letters, 2023, 167: 25-29.
[3].Fazhen Jiang, Xiaoyuan Yang, Federated Bayesian optimization on random Fourier additive margin features and random kernel mapping[J]. Applied Soft Computing, 2025, 175: 112925.
[4].Hongliang Zuo, Fazhen Jiang, More accurate Young, Heinz-Heron mean and Heinz inequalities for scalar and matrix[J]. Italian Journal of Pure and Applied Mathematics, 2020: 567.
[5].Zhengze Li, Xiaoyuan Yang, Kangqing Shen, Fazhen Jiang, et al. Adversarial feature hybrid framework for steganography with shifted window local loss[J]. Neural Networks, 2023, 165: 358-369.
[6].Zhengze Li, Xiaoyuan Yang, Kangqing Shen, Fazhen Jiang, et al. Dual branch parallel steganographic framework based on multi-scale distillation in framelet domain[J]. Neurocomputing, 2022, 514: 182-194.
