Name：Feng-Feng Wei
Professional Title / Position：Assistant Professor
Research Direction：Swarm Intelligence, Intelligent Optimization, Distributed Optimization, Data-Driven Optimization, Multi-Agent System
Team：Computational Intelligence Research Group
Tel：/
Email：fengfengwei@scut.edu.cn
Biography：
Feng-Feng Wei is an assistant professor at the School of Computer Science and Engineering, South China University of Technology, and a master’s student supervisor. Her main research areas include swarm intelligence, intelligent optimization, distributed optimization, data-driven optimization, multi-agent system. She has published over 50 papers in international journals and conferences, including 15 long papers in IEEE Trans. She has hosted projects for the National Natural Science Foundation of China’s Young Scientists Fund, the China Postdoctoral Science Foundation’s General Fund, and the Guangdong Natural Science Foundation’s General Fund, among others. She has received the First Prize of the Natural Science Award from the Guangdong Artificial Intelligence Industry Association, Best Paper at the 4th International Conference on Distributed Artificial Intelligence, Outstanding Doctoral Dissertation from the Intelligent Simulation Optimization and Scheduling Professional Committee of the China Simulation Society, and Excellent Doctoral Dissertation from the ACM Guangzhou Chapter. She currently serves as a member of the Collaborative Computing Committee of the China Computer Federation.
Education：
2015-2019, South China University of Technology, Bachelor's degree
2019-2023, South China University of Technology, Ph.D. degree
Work Experience：
2024 to present, South China University of Technology, Assistant Professor
Course：
1. Undergraduate English Course: Machine Learning and Pattern Recognition
2. Undergraduate Chinese Course: Machine Learning and Pattern Recognition
3. Undergraduate Chinese Course: Introduction to Quantum Computing
4. Graduate Chinese Course: Collective Intelligence
Projects：
1. National Natural Science Foundation of China Youth Fund Project, Data-driven Evolutionary Algorithm Research Based on Marginal Group Decision Making, 2025.01—2027.12, Principal Investigator.
2. 75th Batch of General Funding from the China Postdoctoral Science Foundation, Research on Credible Shared Distributed Data-driven Evolutionary Algorithms, 2024.07—2026.02, Principal Investigator.
3. Guangdong Province Natural Science Foundation General Project, Research on Data-driven Collective Intelligence Optimization Algorithms Assisted by Distributed Width Learning Proxy Models, 2025.01—2027.12, Principal Investigator.
4. National Key R&D Plan Strategic Science and Technology Innovation Cooperation Project, Intelligent Scheduling Research of Low Carbon Traffic Flow Systems with Dual Network Balance, 2024.01—2026.12, Academic Backbone.
5. National Key R&D Project (2020 Major Project of Technological Innovation for the New Generation of Artificial Intelligence), Mechanism of Collective Intelligence Emergence and Evolutionary Computing Methods, 2019.12—2022.12, Participant.
6. Guangdong Province Regional Joint Fund Key Project, Method for Constructing Collaborative Evolved Distributed Large-scale Multi-Agent Deep Learning Models, 2022.10—2025.09, Participant.
Publications：
1. Published papers:
[1]. Feng-Feng Wei, Wei-Neng Chen, Tian-Fang Zhao, Kay Chen Tan, and Jun Zhang, “A Survey on Distributed Evolutionary Computation”, IEEE Computational Intelligence Magazine (JCR Q1, IF11.2), accepted, 2025.
[2]. Xiao-Qi Guo, Feng-Feng Wei (Corresponding author), Jun Zhang, and Wei-Neng Chen, “A Classifier-Ensemble-based Surrogate-Assisted Evolutionary Algorithm for Distributed Data-Driven Optimization”, IEEE Transactions on Evolutionary Computation (JCR Q1，IF12.0), vol. 29, no. 3, pp. 711-725, 2025.
[3]. Guo Yang, Feng-Feng Wei (Corresponding author), Xiao-Min Hu, Sang-Woon Jeon, Jun Zhang, and Wei-Neng Chen, “An Asynchronous Distributed Cooperative Coevolutionary Algorithm for Multilayer Influence Maximization”, IEEE Transactions on Computational Social Systems (JCR Q1，IF4.9), accepted, 2025.
[4]. Rong Wan, Feng-Feng Wei (Corresponding author), and Wei-Neng Chen, “GA-ComFit: A Genetic Algorithm With Community Fitness Sharing Niching for Multimodal Opinion Maximization”, IEEE Transactions on Emerging Topics in Computational Intelligence (JCR Q1，IF6.5), accepted, 2025.
[5]. Feng-Feng Wei, Wei-Neng Chen, and Jun Zhang, “AIEA: An Asynchronous Influence-Based Evolutionary Algorithm for Expensive Many-Objective Optimization”, IEEE Transactions on Cybernetics (JCR Q1，IF10.5), vol. 55, no. 2, pp. 786-799, 2025.
[6]. Feng-Feng Wei, Wei-Neng Chen, Xiao-Qi Guo, Bowen Zhao, Sang-Woon Jeon, and Jun Zhang, “CrowdEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization”, IEEE Transactions on Services Computing (JCR Q1，IF5.8), vol. 17, no. 6, pp. 3286-3299, 2024.
[7]. Feng-Feng Wei, Wei-Neng Chen, “Distributed Data-Driven Evolutionary Computation for Multi-Constrained Optimization”, Journal of Computer Applications (CCF B), accepted, 2024.
[8]. Feng-Feng Wei, Wei-Neng Chen, Qing Li, Sang-Woon Jeon, and Jun Zhang, “Distributed and Expensive Evolutionary Constrained Optimization with On-Demand Evaluation”, IEEE Transactions on Evolutionary Computation (JCR Q1，IF12.0), vol. 27, no. 3, pp. 671-685, 2023.
[9]. Feng-Feng Wei, Wei-Neng Chen, Wentao Mao, Xiao-Min Hu, and Jun Zhang, “An Efficient Two-Stage Surrogate-Assisted Differential Evolution for Expensive Inequality Constrained Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems (JCR Q1，IF8.7), vol. 53, no. 12, pp. 7769-7782, Dec. 2023.
[10]. Feng-Feng Wei, Wei-Neng Chen, Kuei-Kuei Lai, and Jun Zhang, “A Hybrid Regressor and Classifier-Assisted Evolutionary Algorithm for Expensive Optimization with Incomplete Constraint Information”, IEEE Transactions on Systems, Man, and Cybernetics: Systems (JCR Q1，IF8.7), vol. 53, no. 8, pp. 5071-5083, Aug. 2023.
2. Teaching Materials
[1]. Parallel and Distributed Evolutionary Computation, published by China Machine Press, edited by Chen Weinen, Wei Fengfeng, et al., 2025.
Awards：
1. 2025 Excellent Doctoral Dissertation of the Intelligent Simulation Optimization and Scheduling Professional Committee of the China Simulation Society
2. 2025 National First Chemical Industry AI Competition, Excellent Mentor Award
3. 2024 Excellent Doctoral Dissertation of ACM Guangzhou Chapte
r4. 2023 Guangdong Provincial Artificial Intelligence Industry Association Science and Technology Award, First Prize in Natural Sciences
