[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] 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)

[3] 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)

[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] 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)

[8] 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. (通讯作者，中科院二区)

[9] 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)

[10] 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)

[11] 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)

[12] Tao, Hongkang; Wang, Guhong; Liu, Jiansheng; Yang, Zan*; A deep learning-based dynamic deformable adaptive framework for locating the root region of the dynamic flames, PLOS ONE, 2024, 19(4): e0301839. (通讯作者，中科院三区)

[13] Liu, Jiansheng; Yin, Jiahao; Yang, Zan*; Fire Detection and Flame-Centre Localisation Algorithm Based on Combination of Attention-Enhanced Ghost Mode and Mixed Convolution, Applied Sciences, 2024, 14(3): 989. (通讯作者，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] Yang, Zan; Qiu, Haobo; Gao, Liang; et al; A novel surrogate-assisted differential evolution for expensive optimization problems with both equality and inequality constraints, 2019 IEEE Congress on Evolutionary Computation (CEC): 1688-1695. (第一作者，EI会议)

[16] Liu, Yuanhao; Yang, Zan; Xu, Danyang; 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)

[17] Liu, Yuanhao; Yang, Zan; Xu, Danyang; Qiu, Haobo; Gao, Liang; 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)

[18] 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)

[19] Dong, Haozhen; Li, Xinyu; Yang, Zan; et al; A two-layer surrogate-assisted differential evolution with better and nearest option for optimizing the spring of hydraulic series elastic actuator[J]. Applied Soft Computing, 2021, 100: 107001. (第三作者，中科院一区)

[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)

[21] Xu, Danyang; Qiu, Haobo; Gao, Liang; Yang, Zan; et al; A novel dual-stream self-attention neural network for remaining useful life estimation of mechanical systems[J]. Reliability Engineering & System Safety, 2022, 222: 108444. (第四作者，中科院一区)

[22] Chen, Zhenzhong; Qiu, Guiming; Li, Xaioke; Yang, Zan; et al. An improved approximate integral method for nonlinear reliability analysis[J]. Computer Methods in Applied Mechanics and Engineering, 2024, 429: 117158. (第四作者，中科院一区)

[23] Zhang, Jinhao; Xiao, Mi; Gao, Liang; Qiu, Haobo; Yang, Zan; An improved two-stage framework of evidence-based design optimization[J]. Structural and Multidisciplinary Optimization, 2018, 58: 1673-1693. (第五作者，中科院二区，ESI高被引论文)

[24] Chen, Liming; Qiu, Haobo; Gao, Liang; Jiang, Chen; Yang, Zan; A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems, Applied Mathematical Modelling, 2019, 69: 15-31. (第五作者，中科院一区)

[25] Chen, Liming; Qiu, Haobo; Gao, Liang; Jiang, Chen; Yang, Zan; Optimization of expensive black-box problems via Gradient-enhanced Kriging. Computer Methods in Applied Mechanics and Engineering, 2020, 362: 112861. (第五作者，中科院一区)

[26] Jiang, Chen; Qiu, Haobo; Gao, Liang; Wang, Dapeng; Yang, Zan; EEK-SYS: system reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces. Reliability Engineering & System Safety, 2020, 198: 106906. (第五作者，中科院一区)

[27] Jiang, Chen; Qiu, Haobo; Gao, Liang; Wang, Dapeng; Yang, Zan; Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis. Applied Mathematical Modelling, 2020, 77: 82-98. (第五作者，中科院一区)

[28] Jiang, Chen; Wang, Dapeng; Qiu, Haobo; Gao, Liang; Chen, Liming; Yang, Zan; An active failure-pursuing Kriging modeling method for time-dependent reliability analysis. Mechanical Systems and Signal Processing, 2019, 129: 112-129. (第六作者，中科院一区)