Title: Associate Professor

Office: Administrative Center Room 206

Email: lwj@stu.edu.cn

WeChat: wenji_2020 (Welcome to contact students interested in AI and robotics)

Swarm intelligence; Computational intelligence; Multi-agent systems

Dr. Li Wenji is dedicated to the cutting-edge research of computational intelligence and complex system optimization. She proposed the renowned Push and Pull Search (PPS) framework, which addresses the search challenges under complex constraints, and the related achievements have been selected as ESI Highly Cited Papers.

In recent years, she has presided over several provincial and ministerial projects, including the sub-topic of the Major Project on New Generation Artificial Intelligence of the Ministry of Science and Technology, and the Guangdong Provincial Natural Science Foundation. Her students have won numerous awards, such as the National First Prize in the China Robot and Artificial Intelligence Competition and the National First Prize in the National College Students' Mathematical Modeling Competition.

She has published more than 20 high-level papers in top international journals and conferences, with Google Scholar citations exceeding 3,000 times.

[1] W Li, Y Qiu, Z Wang, B Xu, Z Hao, Q Zhang, Y Li, Z Fan. Surrogate-assisted neural learning and evolutionary optimization for expensive constrained multi-objective problems. Swarm and Evolutionary Computation, Volume 97, 2025, 102020. (JCR: Q1)

[2] W Li, Z Wang, C Guan, et al. Formation control of swarm robotics: A survey from biological inspirations to design automation methods. Robotics and Autonomous Systems, 2025: 105245. (JCR: Q1)

[3] W Li, R Mai, Z Wang, Y Qiu, B Xu, Z Hao, Z Fan. Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems. Swarm and Evolutionary Computation, Volume 91, 2024, 101728. (JCR: Q1)

[4] W Li, Z Wang, R Mai, P Ren, Q Zhang, Y Zhou, N Xu, J Zhuang, B Xin, L Gao, Z Hao, Z Fan. Modular Design Automation of the Morphologies, Controllers, and Vision Systems for Intelligent Robots: A Survey. Visual Intelligence, 2023, 1(1): 2.

[5] W Li, P Ren, Z Wang, C Guan, Z Fan. Target Entrapment Based on Adaptive Transformation of Gene Regulatory Networks. Journal of Beijing Institute of Technology, 2024, 33(5): 389-398.

[6] W Li, P Ren, Z Wang, D Wang, B Xu, C Guang, C Chen, J Zhuang and Z Fan. A Multi-Agent Control Model Based on Gene Regulatory Network. In 2023 9th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2023: 15-20. (Best Paper Award, BigDIA 2023)

[7] W Li, Y Qiu, Z Wang, Q Zhang, R Mai, B Xu, Y Zhang, J Zhuang and Z Fan. A Constrained Multi-Objective Evolutionary Algorithm Based on Early Convergence Followed by Diversity. In 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2023: 1-8.

[8] W Li, R Mai, P Ren, Z Wang, Q Zhang, N Xu, B Xu, Z Fan and Z Hao. A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problem. In 2023 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2023: 1-7.

[9] W Li, Q Zhang, Z Wang, P Ren, N Xu, D Wang and Z Fan. A Swarm Control Model Based on Individual Information Interaction. In 2022 8th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2022: 61-66.

[10] R Mai, Y Qiu, W Li*, Z Wang, B Xu, W Chen*, J Zhuang, Y Li and Z Fan*. Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set Learning. In Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2024: 351-354.

[1] Li Wenji, Wang Boxi, Zhuang Jiafan, Wang Zhaojun, Wang Dongliang, Hao Zhifeng, Fan Zhu. UAV Swarm Pursuit and Control Method and System Based on Causal Representation Learning. Invention, CN202411456225.8.

[2] Li Wenji, Huang Dawei, Wang Boxi, Wang Zhaojun, Zhuang Jiafan, Wang Dongliang, Hao Zhifeng, Fan Zhu. Multi-Agent Control Method, Device, Equipment and Medium for Causal Experience Replay. Invention, CN202411893295.X.

[3] Li Wenji, Huang Dawei, Wang Dongliang, Wang Zhaojun, Zhang Shunjie, Guan Chaotao, Hao Zhifeng, Fan Zhu. Unmanned Swarm Target Search Control Method, Device and Medium Based on Local Information. Invention, CN202411736437.1.

[4] Li Wenji, Zhang Shunjie, Wang Zhaojun, Guan Chaotao, Wang Dongliang, Zhuang Jiafan, Hao Zhifeng, Fan Zhu. Robot and Its Motion Control Method and Device. Invention, CN202411527520.8.

[5] Li Wenji, Guan Chaotao, Wang Zhaojun, Fan Zhu, Qiu Hao, Peng Xuanzhi, Zhu Xiang, Yu Xinran, Deng Haoyuan, Hao Zhifeng. Intelligent Agent Swarm Area Coverage Method and System Based on Gene Regulatory Network. Invention, ZL 202310614358.2.

[1] Major Project on New Generation Artificial Intelligence of the Ministry of Science and Technology, Research on Identifiability of Causal Reasoning Models, Sub-topic Leader.

[2] Guangdong Provincial Basic and Applied Basic Research Fund Project, Research on Unmanned Swarm Behavior Strategy Design Automation Based on Constrained Multi-Objective Optimization and Causal Knowledge Discovery, Project Leader.

[3] Guangdong Provincial Science and Technology Special Fund Project, Research on Data-Driven Constrained Multi-Objective Optimization and Its Application in Wind Vibration Control of Super High-Rise Buildings, Project Leader.

[1] Li Wenji (7/8). Key Technologies and Applications of Intelligent Robot Systems for Design Automation. China Society of Image and Graphics, Second Prize of Science and Technology Progress, 2021.

[2] Li Wenji (3/10). Intelligent Science and Technology Popularization for Teenagers Based on Independent Innovation Theory and Technology—Artificial Intelligence, Robotics, Virtual Reality. China General Chamber of Commerce, Second Prize of Science and Technology Progress, 2022.

[3] Wang Zhaojun, Dong Xiangyu. Swarm Intelligence Programmable Educational Robot. National Artificial Intelligence Application Scenario Innovation Challenge, Second Prize, 2023. (Instructor: Li Wenji, Fan Zhu)

[4] Ren Pengxiang, Huang Ziqian, Ren Zhuohuan. Swarm Robot Motion Based on Gene Regulatory Network Model. The 25th China Robot and Artificial Intelligence Competition, Second Prize, 2023. (Instructor: Li Wenji, Wang Dongliang)

[5] Yao Junjie, Guan Chaotao, Wang Zhaojun. "Intelligent" into "Process": Swarm Intelligence Programmable Educational Robot. The 26th China Robot and Artificial Intelligence Competition, First Prize, 2024. (Instructor: Li Wenji, Wang Dongliang)