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[1]Haitong Zhao(研究生), Changsheng Zhang，An online-learning-based evolutionary many-objective algorithm. Information Sciences. 509: 1-21 ,2020.(通信作者，影响因子8.10，202306-至今，高被引论文).
[2]Liu, Y.(研究生), Zhang, C. & Dong, X. A survey of real-time surface defect inspection methods based on deep learning. Artif Intell Rev 56, 12131–12170 (2023). https://doi.org/10.1007/s10462-023-10475-7. (通信作者，影响因子：12.0).
[3]Yang An(研究生), Changsheng Zhang, Xuanyu Zheng, Knowledge reconstruction assisted evolutionary algorithm for neural network architecture search, Knowledge-Based Systems, Volume 264, 2023, 110341, https://doi.org/10.1016/j.knosys.2023.110341. (通信作者，影响因子：8.8).
[4]Yang, Y(研究生)., Changsheng Zhang, A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems, Biomimetics, (2023), 8(2), 136; https://doi.org/10.3390/biomimetics8020136(通信作者，影响因子：4.5).
[5]Yuyang Bai(研究生), Changsheng Zhang, Weitong Bai, A two-level parallel decomposition-based artificial bee colony method for dynamic multi-objective optimization problems, Applied Soft Computing, Volume 147, (2023), 110741, https://doi.org/10.1016/j.asoc.2023.110741. (通信作者，影响因子：8.7).
[6]Xuanyu Zheng(研究生), Changsheng Zhang, Bin Zhang, A Mayfly algorithm for cardinality constrained portfolio optimization, Expert Systems with Applications, Volume 230, (2023),120656, https://doi.org/10.1016/j.eswa.2023.120656. (通信作者，影响因子：8.5).
[7]Yang, Y. (研究生), Zhang, C. & Zhang, B. A non-revisiting framework for evolutionary multi-task optimization. Applied Intelligence, 53, 25931–25953 (2023). https://doi.org/10.1007/s10489-023-04918-5. (通信作者，影响因子：5.3).
[8]Chen, Z(本科生)., Zhang, C., Li, W.et al. Fire danger forecasting using machine learning-based models and meteorological observation: a case study in Northeastern China. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-15881-1. (通信作者，影响因子：3.6).

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