现任管理科学系助理教授。研究领域为神经符号系统的决策解释性、生物启发算法在运营优化中的应用等。发表多篇论文，并承担英文审稿工作。

生物启发算法，神经符号系统决策与应用

近几年发表文章

1. An Improved Gradient-Based Repair Method for Constrained Numerical Optimization
   Jing-Yu Ji, Sen Yang, Kwan Yeung Lee, Billy Chiu, Man Leung Wong, Sam Kwong. IEEE Congress on Evolutionary Computation (CEC), 2024
2. Surrogate-assisted Parameter Re-initialization for Differential Evolution
   Jing-Yu Ji and Man-Leung Wong. IEEE Symposium Series on Computational Intelligence, 2022
3. Solving Nonlinear Equation Systems Using Multiobjective Differential Evolution
   Jing-Yu Ji, Wei-Jie Yu, and Jun Zhang. International Conference on Evolutionary Multi-Criterion Optimization, 2019
4. A two-stage coevolution approach for constrained optimization
   Jing-Yu Ji, Wei-Jie Yu, and Jun Zhang. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
5. Solving multimodal optimization problems through a multiobjective optimization approach
   Jing-Yu Ji, Wei-Jie Yu, Wei-Neng Chen, Zhi-Hui Zhan, and Jun Zhang. Seventh International Conference on Information Science and Technology, 2017

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