Name: Yan Li
Gender: Male
Professional Title: Associate Professor
Degree: Ph.D.
Position: Vice Dean
Honors: Scientific and Technological Innovation Talent of Henan Higher Education Institutions; Academic and Technical Leader of the Henan Provincial Department of Education; Young Backbone Teacher of Henan Higher Education Institutions; Supervisor of a Provincial Excellent Master's Thesis
Education and Research Experience：
1. 2021/01-present, School of Automation and Electrical Engineering, Zhongyuan University of Technology, Associate Professor
2. 2016/07-2020.12, Department of Automation, School of Electronic Information, Zhongyuan University of Technology, Lecturer
3. 2013/08-2016/06, Jilin University, Communication and Information Systems, Ph.D.
Research Directions：
1. Computational intelligence theory, algorithms, and applications
2. Deep neural network architecture search
3. Collaborative enhancement of large models and evolutionary computation
Academic Research Projects:
1. National Natural Science Foundation of China General Program, Dynamic Multimodal Multi-Objective Optimization Methods and Applications Integrating Subspace Knowledge Transfer and Dual Selection, RMB 500,000, 2026.01-2029.12, Principal Investigator;
2. National Natural Science Foundation of China Young Scientists Fund, Research on Dynamic Multi-Objective Evolutionary Optimization Methods Based on Spatiotemporal Multi-Scale Joint Prediction, RMB 300,000, 2022.01-2024.12, Principal Investigator;
3. Scientific and Technological Innovation Talent Program of Henan Higher Education Institutions, Research on Constrained Multimodal Multi-Objective Co-Evolutionary Methods Integrating Grid Clustering and Online Perception, RMB 300,000, 2024.01-2026.12, Principal Investigator;
4. Henan Provincial Science and Technology Research Project, Research on Evolutionary Neural Network Architecture Search Based on Weight Inheritance and Knowledge-Guided Mutation, RMB 100,000, 2024.01-2025.12, Principal Investigator;
5. Henan Provincial Natural Science Foundation Youth Program, Research on Dynamic Multi-Objective Evolutionary Optimization Methods and Applications Based on Extreme Learning Machine Prediction, RMB 50,000, 2021.01-2022.12, Principal Investigator;
6. Industry-sponsored Technology Development Project, Development and Design of a Microgrid Intelligent Dispatching System and an Electric Vehicle Charging/Discharging System Considering Electric Vehicle Access, RMB 400,000, 2021.01-2022.12, Principal Investigator;
Representative Papers:
1. Li Yan, Yi Du, Jing Liang, Boyang Qu*, et al. A Weight Inheritance and Guidance Strategy based Evolutionary Network Architecture Search, IEEE Transactions on Evolutionary Computation, 2025, Doi: 10.1109/TEVC.2025.3558334.
2. Li Yan, Wenlong Qi, Jing Liang, Boyang Qu*, Kunjie Yu, Caitong Yue, Xuzhao Chai. Inter-individual correlation and Dimension Based Dual Learning for Dynamic Multi-objective Optimization, IEEE Transactions on Evolutionary Computation, 27(6): 1780-1793, Dec. 2023.
3. Li Yan, Wenlong Qi, A.K. Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu*, Jing Liang. Manifold clustering-based prediction for dynamic multiobjective optimization, Swarm and Evolutionary Computation, 77: 101254, Mar. 2023.
4. Li Yan, Zhipeng Zhang, Jing Liang, Boyang Qu*, Kunjie Yu, Kongyuan Wang. ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search, Applied Soft Computing, 146: 110639, Oct. 2023.
5. Li Yan, Chuang Zhang, Boyang Qu, Kunjie Yu, Caitong Yue. Brushless direct current motor design using a self-adaptive JAYA optimization algorithm, International Journal of Bio-Inspired Computation, 20(3): 132-149, 2022.
6. Li Yan, Shunge Guo, Jing Liang, Boyang Qu, Chao Li*, Kunjie Yu. A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems, Swarm and Evolutionary Computation, 95: 101941, June 2025.
7. Li Yan, Yinjin Wu, Yaxin Lia, Boyang Qu*, Jing Liang, Kunjie Yu, Dezheng Zhang. Dual-population collaborative prediction with reinforcement learning adjusting for dynamic multi-objective optimization, Swarm and Evolutionary Computation, 96: 101981, 2025.
8. Yan Li, Ma Jiahui, Chai Xuzhao, Yue Caitong, Yu Kunjie, Liang Jing, Qu Boyang. Knowledge-Guided Adaptive Dynamic Multimodal Differential Evolution Algorithm[J]. Control and Decision, 2023, 38(11): 3048-3056.
Contact:
Email: yanli@zut.edu.cn
