研究方向：

最优化理论与算法, 非凸优化问题, 分裂算法, 变分不等式, 交通运输管理,机器学习中的优化算法

科研项目：

1.国家自然科学基金青年基金项目“一类非凸优化问题分裂算法的收敛率及非精确准则的研究”2019.01-2021.12（主持）.

2.江苏省自然科学基金青年基金项目“非凸稀疏优化的分裂算法研究”2018.07-2021.06（主持）.

3.国家自然科学基金面上项目“算子分裂框架下结构型鞍点问题的理论、算法研究及应用”2025.01-2028.12（参与）.

4.国家自然科学基金面上项目“基因表达数据分析中相关矩阵计算问题的研究”2020.01-2023.12（参与）.

科研论文：

[1] Zehui Jia, Wenxing Zhang, Xingju Cai, Deren Han. A Variable Metric Douglas-Rachford Splitting Method for Nonconvex Composite Optimization. Journal of Scientific Computing, 2026. (accepted for publication)

[2] Zehui Jia, Denghui Li, Zhiyu Liu, Deren Han. The variance reduced Douglas-Rachford splitting method for large-scale optimization problems. Journal of Scientific Computing, 2026, 109(1): 1.

[3] Zehui Jia, Junru Hou, Ping Dong, Zhiyu Liu. A fast computational Gauss–Seidel type iPALM algorithm using an incremental aggregated gradient strategy for weakly convex composite optimization problems with application in image processing. Journal of Computational and Applied Mathematics, 2025: 116973.

[4] Zehui Jia, Denghui Li, Zhiyu Liu, Mengting Chen. The incremental aggregated Douglas-Rachford splitting method for large-scale optimization problem. Optimization, 2025, 1-28.

[5] 贾泽慧, 李登辉, 刘治宇, 黄洁茹. 基于数据压缩和梯度追踪的方差缩减的联邦优化算法. 南京理工大学学报, 2025, 49(2): 155-166.

[6] Zehui Jia, Wenxing Zhang, Xingju Cai, Deren Han. Stochastic alternating structure-adapted proximal gradient descent method with variance reduction for nonconvex nonsmooth optimization. Mathematics of Computation, 2024, 93(348): 1677-1714. DOI: https://doi.org/10.1090/mcom/3867.

[7] Zehui Jia, Junru Hou, Zhichao Shi, Suyun Yue. An inexact variable metric variant of incremental aggregated Forward-Backward method for the large-scale composite optimization problem. Optimization, 2024, 73(6): 1735-1769.

[8] 贾泽慧, 侯俊茹, 谢小磊, 岳素云. 一种方差缩减的联邦学习算法. 运筹学学报, 2024, 28(3): 1-14.

[9] 贾泽慧, 董萍, 杜俊晖. 一种带压缩和动量步的联邦学习算法. 高等学校计算数学学报, 2022, 44(1): 64-81.

[10] Zehui Jia, Jieru Huang, Xingju Cai. Proximal-Like incremental aggregated gradient method with bregman distance in weakly convex optimization. Journal of Global Optimization, 2021, 80(4): 841-864.

[11] Zehui Jia, Xue Gao, Xingju Cai, Deren Han. Local linear convergence of alternating direction method of multipliers for nonconvex separable optimization problems. Journal of Optimization Theory and Applications, 2021, 188: 1-25.

[12] Zehui Jia, Jieru Huang, Zhongming Wu. An incremental aggregated proximal ADMM for linearly constrained nonconvex optimization with application to sparse logistic regression problems. Journal of Computational and Applied Mathematics, 2021, 390: 113374.

[13] Zehui Jia, Xue Gao, Xingju Cai, Deren Han. The convergence rate analysis of the symmetric ADMM for the nonconvex separable optimization problems. Journal of Industrial and Management Optimization, 2021, 17: 1943-1971.

[14] 张纯, 贾泽慧, 蔡邢菊, 韩德仁. 广义鞍点问题的改进的类 SOR 算法. 计算数学, 2020, 42(1): 29-50.

[15] Zehui Jia, Zhongming Wu, Xiaomei Dong. An inexact proximal gradient algorithm with extrapolation for a class of nonconvex nonsmooth optimization problems. Journal of Inequalities and Applications, 2019, 125: 1-16.

[16] Zehui Jia, Xingju Cai, Deren Han. Comparison of several fast algorithms for projection onto an ellipsoid. Journal of Computational and Applied Mathematics, 2017, 319: 320-337.

[17] Zehui Jia, Xingju Cai. A relaxation of the parameter in the forward-backward splitting method. Pacific Journal of Optimization, 2017, 13: 665-681.

[18] Zehui Jia, David Z.W. Wang, Xingju Cai. Traffic managements for household travels in congested morning commute. Transportation Research Part E: Logistics and Transportation Review, 2016, 91: 173-189.

[19] Deren Han, Zehui Jia, David Z.W. Wang, Yongzhong Song. An efficient projection method for nonlinear inverse problems with sparsity constraints. Inverse Problems and Imaging, 2016, 10(3): 689-709.

[20] Wenxing Zhang, Xingju Cai, Zehui Jia. A proximal alternating linearization method for minimizing the sum of two convex functions. Science China Mathematics, 2015, 58(10): 2225-2244.

学术兼职：

1.江苏省运筹学会理事

2.江苏省数学学会计算数学分会理事

教改课题

1.2024年，“2024年高等教育数字化转型与教育现代化实践研究”专项课题立项，课题名称：《基于AI技术的《数学物理方程》课程教学改革与实践研究》（贾泽慧/张学兵）；

2.2024年，中国陶行知研究会教师研究与发展专业委员会2024年度“十四五”规划“教师研究与发展”专项课题立项，课题名称：《协同育人背景下高校数学物理方程‘课程思政’教学资源建设研究》（张学兵/贾泽慧）；

教学奖励：

1.2024年获江苏省高校微课教学比赛一等奖；

2.2024年获江苏省第五届高校青年教师教学竞赛二等奖；

3.2023年获江苏省高校数学基础课青年教师授课竞赛一等奖；

4.2023年获南京信息工程大学教师教学创新竞赛一等奖；

5.2023年获南京信息工程大学青年教师教学竞赛一等奖；

6.2020年获江苏省高校数学微课课程教学竞赛三等奖。