[1] 201609-202206 华中科技大学 博士研究生

[2] 201209-201606 山东科技大学 大学本科

[1] 2022.07.01- 本职工作 南昌大学先进制造学院

国家自然科学基金地区科学基金

关于申报国家级智能制造企业咨询辅导项目

国家自然科学基金面上项目

国家自然科学基金青年科学基金项目

江西省重大科技研发专项“揭榜挂帅”企业需求类项目

江西省主要学科学术和技术带头人培养项目

南昌市科研创新中心项目

南昌大学青年人才培育创新基金项目

已发表论文（共50余篇SCI（ESI高被引2篇，中科院一区30余篇），其中第一/通讯作者共30余篇，Google学术引用1100余次，部分论文如下）：

   [1] Yang, Zan; Chu, Sheng; Liu, Jiansheng; et al; Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization[J]. Swarm and Evolutionary Computation, 2024, 84: 101446. (第一作者，中科院一区)

   [2] Tao, Hongkang; Liu, Jiansheng; Yang, Zan*; et al; Revolutionizing flame detection: Novelization in flame detection through transferring distillation for knowledge to pruned model, Expert Systems with Applications, 2024: 123787. (通讯作者，中科院一区)

    [3] Chu, Sheng; Yang, Zan*; et al; Explicit topology optimization of novel polyline-based core sandwich structures using surrogate-assisted evolutionary algorithm, Computer Methods in Applied Mechanics and Engineering, 2020, 369:113215. (通讯作者，中科院一区)

    [4] Yang, Zan; Qiu, Haobo; Gao, Liang; et al; A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems, Information Sciences, 2023, 619: 491-508. (第一作者，中科院一区)

    [5] Yang, Zan; Qiu, Haobo; Gao Liang; et al; Surrogate-assisted MOEA/D for Expensive Constrained Multi-Objective Optimization[J]. Information Sciences, 2023: 119016. (第一作者，中科院一区)

    [6] Yang, Zan; Qiu, Haobo; Gao, Liang; et al; Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems, Information Sciences, 2020, 508: 50-63. (第一作者，中科院一区)

   [7] Liu, Jiansheng; Chen, Jin; Yang, Zan*; et al. Two-layer surrogate-assisted collaborative framework for expensive constrained optimization problems involving mixed integer variables, Information Sciences, 2024: 121522. (通讯作者，中科院一区)

    [8] Du, Xing; Lu, Shiyi; Tang, Rui; Li, Xiaobing; Miao, Jiacheng; Yang, Zan*; et al; An efficient method for designing high-performance planetary roller screw mechanism with low contact stress, Tribology International, 2023, 187:108709. (通讯作者，中科院一区)

    [9] Yang, Zan; Jiang, Chen; Liu Jiansheng; Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization[J]. Complex & Intelligent Systems, 2025, 11(2): 146. (第一作者，中科院二区)

    [10] Liu, Jiansheng; Yuan, Bin; Yang, Zan*; Qiu, Haobo; Population State-driven Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems with Mixed-Integer Variables, Complex & Intelligent Systems, 2024: 1-22. (通讯作者，中科院二区)

    [11] Yang, Zan; Qiu, Haobo; Gao, Liang; at al; Constraint boundary pursuing-based surrogate-assisted differential evolution for expensive optimization problems with mixed constraints, Structural and Multidisciplinary Optimization, 2023, 66(2): 40. (第一作者，中科院二区)

    [12] Yang, Zan; Qiu, Haobo; Gao, Liang; et al; Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems, Journal of Global Optimization, 2019, 74: 327-359. (第一作者，中科院二区)

    [13] Yang, Zan; Qiu, Haobo; Gao, Liang; et al; A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems, Engineering Optimization, 2019, 51(4): 549-566. (第一作者，中科院三区)

      [14] Liu Jiansheng; Yuan Bin; Yang Zan*; et al; Research on dual-command operation path optimization based on Flying-V warehouse layout, High Technology Letters, 2023, 29(4): 388-396. (通讯作者，EI期刊论文)

      [15] Liu, Yuanhao; Yang, Zan; et al; A Kriging-assisted Double Population Differential Evolution for Mixed-Integer Expensive Constrained Optimization Problems with Mixed Constraints[J]. Swarm and Evolutionary Computation, 2024, 84: 101428. (第二作者，中科院一区)

      [16] Liu, Yuanhao; Yang, Zan; Jiang Chen; et al; A surrogate-assisted differential evolution for expensive constrained optimization problems involving mixed-integer variables, Information Sciences, 2022, 622: 282-302. (第二作者，中科院一区)

      [17] Liu, Yuanhao; Yang, Zan; Jiang Chen; et al; A surrogate-assisted differential evolution for high-dimensional expensive constrained optimization problems with mixed-integer variables. Expert Systems with Applications, 2025: 126729. (第二作者，中科院一区)

      [18] Liu, Yuanhao; Yang, Zan; et al; Lightweight design optimization of two-layer corrugated cored sandwich panel under blast loading using surrogate-assisted different evolution for mixed-integer variables, Engineering Structures, 2024, 321: 118963. (第二作者，中科院一区)

      [19] Jiang, Chen; Qiu, Haobo; Yang, Zan; et al; A general failure-pursuing sampling framework for surrogate-based reliability analysis[J]. Reliability Engineering & System Safety, 2019, 183: 47-59. (第三作者，中科院一区，ESI高被引论文)

      [20] Chen, Liming; Qiu, Haobo; Gao, Liang; Yang, Zan; Xu, Danyang; Exploiting active subspaces of hyperparameters for efficient high-dimensional Kriging modeling, Mechanical Systems and Signal Processing, 2022, 169: 108643. (第四作者，中科院一区)

已授权专利（共20余个，部分专利如下）：

1、面向高维昂贵优化问题的代理模型辅助的并行协同方法

2、面向混合整数昂贵优化问题的代理模型辅助差分进化方法

3、一种机器学习优化设计方法及系统

4、面向高维昂贵优化问题的梯度信息驱动维度扰动变异方法

5、一种基于机器学习的IN718镍基合金成形缺失数据生成与预测方法

6、一种基于禁忌空间划定的机器学习协助的差分进化算法

7、一种基于信息融合的机翼升阻比机器学习优化设计方法

8、一种汽车后副车架轻量化设计方法及系统

9、注意力信息增强的径向基函数优化设计方法

10、一种隐身电站设计的优化方法及系统

11、一种基于深度卷积神经网络的隐球菌图像识别方法

12、一种基于数据增强DETR 的隐球菌识别方法及系统

13、一种疟原虫图像检测方法及系统

14、一种面向结构可靠性分析的通用动态追踪序列采样方法

15、一种挖掘焊接参数量化关联规则的方法及应用

已公开专利（共30余个，部分专利如下）：

1、一种机器学习引导的动态种群优化设计方法

2、一种基于机器学习的翼形结构轻量化设计方法

3、基于ML 的全回转推进器驱动轴服役寿命与轻量化设计方法

4、一种基于ML模型的红外隐身材料膜层多目标优化设计方法

5、基于ML的后副车架结构轻量化与模态优化的目标设计方法

6、一种基于机器学习的红外隐身材料膜层优化设计方法

7、基于图像分割的隐球菌荚膜厚度检测方法及系统

8、面向多目标昂贵约束优化问题的代理模型辅助的MOEA/D方法

9、一种火焰动态识别方法及系统

10、一种基于全局与局部代理模型辅助的双区域协同优化方法

11、一种基于改进遗传算法的整车物流调度优化方法

12、一种隔板式的防漏气负压污水收集井

13、一种磁吸伸缩式的防漏气负压污水收集井

14、一种夜间图像快速增强方法

15、一种具有局部双向敛散结构流道的燃料电池