个人简介

王文君，博士，副教授，暨南大学伯明翰大学联合学院教师，2021级经济统计学1班学术导师。

联系方式

邮箱：wjwang@jnu.edu.cn

教育背景

国防科技大学（长沙）数学与系统科学系获得系统分析与集成专业理学博士

工作经历

2015年，入职深圳大学计算机学院（深圳）从事博士后工作，研究方向是多目标优化与进化计算。

2018年，获得英国阿伯丁大学（阿伯丁）自然与计算科学学院研究员职位，主要从事生物复合自愈材料研发设计中的数据挖掘与机器学习技术研究（英国EPSRC重大项目，7所大学联合）。

2020年，转入英国赫瑞-瓦特大学（爱丁堡）继续从事机器学习和智能计算研究。

2021年6月，加入暨南大学暨伯学院任教师。

教研专长

教授课程：数学经济建模，数据挖掘，抽样技术，机器学习与计算智能

研究兴趣：多目标优化，进化智能计算，数学经济建模，数据挖掘及应用，新型智能材料设计与发展。

代表性学术出版物

[1] Y. Yuan, W. Wang and W. Pang, A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction, GECCO 2021.

[2] Y. Yuan, W. Wang and W. Pang, A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks, IEEE CEC 2021.

[3] W. Wang, W. Pang, P. A. Bingham, M. Mania and T. Chen, Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels, IEEE WCCI-CEC, 2020, Glasgow.

[4] W. Wang, S. Yang, Q. Lin, Q. Zhang, K.C. Wong, C.A.C. Coello, J. Chen, An Effective Ensemble Framework for Multi-Objective Optimization, IEEE Trans. Evol. Comput. 23 (2018) 645–659. doi:10.1109/TEVC.2018.2879078. (Impact Factor: 11.169)

[5] Q. Lin, Q. Zhus, N. Wang, P. Huang, W. Wang, J. Chen, Z. Ming, A multi-objective immune algorithm with dynamic population strategy, Swarm Evol. Comput. (2019). doi:10.1016/j.swevo.2018.12.003. (Impact Factor: 6.330)

[6] W. Wang, N.G. Moreau, Y. Yuan, P.R. Race, W. Pang, Towards machine learning approaches for predicting the self-healing efficiency of materials, Comput. Mater. Sci. 168 (2019) 180–187. doi:10.1016/j.commatsci.2019.05.050. (Impact Factor: 2.644)

[7] Q. Lin, M. Zhu, G. Li, W. Wang, L. Cui, J. Chen, J. Lu, A novel artificial bee colony algorithm with local and global information interaction, Appl. Soft Comput. J. 62 (2018) 702–735. doi:10.1016/j.asoc.2017.11.012. (Impact Factor: 4.873)

[8] S. Yang, W. Wang, Q. Lin, J. Chen, A novel PSO-DE Co-evolutionary algorithm based on decomposition framework, in: Qiu M. Smart Comput. Commun. SmartCom 2016. Lect. Notes Comput. Sci., 2017: pp. 381– 389. doi:10.1007/978-3-319-52015-5_39. (Corresponding Author)

[9] Q. Lin, Z. Liu, Q. Yan, Z. Du, C.A.C. Coello, Z. Liang, W. Wang, J. Chen, Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm, Inf. Sci. (Ny). 339 (2016) 332– 352. doi:10.1016/j.ins.2015.12.022. (Impact Factor: 5.524)

[10] Q. Zhu, Q. Lin, Z. Du, Z. Liang, W. Wang, Z. Zhu, J. Chen, P. Huang, Z. Ming, A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm, Inf. Sci. (Ny). 345 (2016) 177–198. doi:10.1016/j.ins.2016.01.046. (Impact Factor: 5.524)

[11] W. Wang, X. Duan, J. Zhu, Q. Zhang, Identification method of systematic errors model of a missile-borne radar, Acta Armamentarii 35 (2) (2014), 273-279. (Chinese edition only)

[12] W. Wang, X. Duan, J. Zhu, Impact Analysis of Guidance Instrument Error Separation Accuracy on Sampling Rate of Inertial Navigation Equipment, Applied Mechanics and Materials 341 (2013), 880-886.

[13] W. Wang, J. Zhu, X. Duan, Eigenvalue Decomposition Based Modified Newton Algorithm, Applied Mechanics and Materials 347 (2013), 2586-2589.

[14] W. Wang, X. Duan, J. Zhu, Adaptive parameter regularization model for guidance instrumental error separation and its application, Journal of Ballistics 25 (3) (2013), 28-33. (Chinese edition only)

[15] W. Wang, Y. Lin, J. Zhu, Interest models and applications in analyzing the rise and decline of Qing dynasty, Kybernetes 40 (9/10) (2011), 1486-1502.