郑伟 - 2138CC太阳集团（大数据学院）

郑伟，博士，2022年博士毕业于西安交通大学。CCF会员、CSIAM会员、ORSC会员。已在IEEE Transactions on Cybernetics、Expert Systems With Applications、Information Sciences、IEEE Transactions on Computational Biology and Bioinformatics等国际期刊，IEEE CEC、ACM GECCO等国际会议发表论文20余篇。目前主持国家自然科学基金青年科学基金项目（C类）一项、参与山东省面上项目一项，在读博士期间曾主持过中央高校基本科研业务费专项资金项目一项。作为骨干成员参与多项国家级项目，包括国家重点研发计划、国家科学基金面上项目等。

担任以下国际期刊的审稿人：

IEEE Transactions on Cybernetics; IEEE Transactions on Evolutionary Computation; IEEE Transactions on Systems, Man and Cybernetics: Systems; IEEE Internet of Things Journal; Information Sciences; Expert Systems With Applications; Swarm and Evolutionary Computation; Knowledge-Based Systems; Information Processing and Management; Evolutionary Computation; Engineering Applications of Artificial Intelligence; Cluster Computing; The Journal of Supercomputing; CMC-Computers, Materials & Continua.

担任以下国际会议的审稿人：

IEEE CEC; IEEE CAI; ACM GECCO

欢迎各位同学通过邮件与我联系，期待与你的合作！

[1] W. Zheng, J. Sun, Q. Zhang and Z. Xu, “Continuous Encoding for Overlapping Community Detection in Attributed Network”, IEEE Transactions on Cybernetics, 53(9): 5469-5482, 2023

[2] J. Sun, W. Zheng*, Q. Zhang and Z. Xu, “Graph Neural Network Encoding for Community Detection in Attribute Networks, ” IEEE Transactions on Cybernetics, 52(8): 7791-7804, 2022

[3] W. Zheng, J. Sun, “Exploring Cluster-Dependent Isomorphism in Multi-Objective Evolutionary Optimization”, Expert Systems with Applications, 263, 125684, 2025

[4] W. Zheng, Y. Tan, Z. Yan and M. Yang, “A Novel Clustering-Based Evolutionary Algorithm with Objective Space Decomposition for Multi/Many-Objective Optimization”, Information Sciences, 677: 120940, 2024

[5] W. Zheng and J. Sun, “Two-stage hybrid learning-based multi-objective evolutionary algorithm based on objective space decomposition”, Information Sciences, 610: 1163-1186, 2022

[6] W. Zheng, J. Sun and H. Zhang, “Nature-Inspired Meta-Heuristic Algorithms for Detecting Protein Complexes in Protein-Protein Interaction Networks: A Survey”, IEEE Transactions on Computational Biology and Bioinformatics, 2025, early access

[7] H. Che and W. Zheng*, “Exploiting Information Technology to Enhance Effectiveness in Elementary School Art Education”, International Journal of Art & Design Education, 2025, early access. (SSCI, AHCI)

[8] W. Zheng, Y. Tan, L. Meng and H. Zhang, “An Improved MOEA/D Design for Many-objective Optimization Problems”, Applied Intelligence, 48, 3839-3861, 2018

[9] W. Zheng, Y. Tan, M. Gao, W. Jia and Q. Wang, “A Modification of MOEA/D for Solving Multi-Objective Optimization Problems”, Journal of Advanced Computational Intelligence and Intelligent Informatics, 22 (2), 214-223, 2018

[10] W. Zheng, Y. Tan, X. Fang and S. Li, “An Improved MOEA/D with Optimal DE Schemes for Many-objective Optimization Problems”, Algorithms, 10 (3), 86, 2017

[11] W. Zheng, Z. Wei, Y. Chen and M. Yang. “MMEATC: A multimodal multiobjective evolutionary algorithm with three clustering mechanisms”, IEEE CEC, 1-8, 2025

[12] H. Che, W. Zheng* and M. Yang. “A Hybrid Learning-Based Differential Evolution for Mixed-Variable Optimization Problems. ” IEEE CISAT, 173-177, 2024

[13] W. Zheng, Y. Zhang and J. Sun, “Continuous Encoding for Community Detection in Complex Networks, ” ACM GECCO, 141-142, 2021

[14] W. Zheng, X. Liu and J. Sun*, “Continuous Encoding for Community Detection in Attribute Networks with Preserving Node Information, ” IEEE CEC, 2031-2038, 2021

[15] W. Zheng, J. Wu, C. Zhang and J. Sun, “A Clustering-Based Multiobjective Evolutionary Algorithm for Balancing Exploration and Exploitation, ” International Conference on Bio-Inspired Computing: Theories and Applications, 355-369, 2019

[16] W. Zheng, J. Sun and H. Li, “An Adaptive Parameter Tuning Strategy for Many-objective Evolutionary Algorithm, ” IEEE CEC, 1718-1725, 2019

1. 国家自然科学基金青年科学基金项目(C类), 人工智能优化驱动的蛋白质相互作用网络功能模块识别, 2025-2027, 主持, 在研

2. 中央高校基本科研业务费专项资金项目, 基于学习的多目标进化算法的关键技术研究, 2019-2020, 主持, 已结题

3. 国家重点研发计划项目, 2018-2020, 参与, 已结题

4. 国家自然科学基金面上基金项目, 2020-2024, 参与, 已结题

5. 国家自然科学基金青年基金项目, 2015-2017, 参与, 已结题

6. 山东省面上项目, 2023-2025, 参与, 在研