期刊论文：

[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. (SCI 一区TOP, IF = 11.3)

[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. (SCI 一区TOP, IF = 11.3)

[3] W. Zheng*, J. Sun, N. Zhang, L. Zhang, Y. Xie, and H. Zhang, “Learning-based adaptive offspring generation for multi-objective optimization problems with variable linkages”, Applied Soft Computing, 197, 115255, 2026. (SCI 二区TOP, IF = 7.8)

[4] W. Zheng* and J. Sun, “Exploring cluster-dependent isomorphism in multi-objective evolutionary optimization”, Expert Systems with Applications, 263, 125684, 2025. (SCI 一区TOP, IF = 9.4)

[5] 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, 22(6): 2817-2832, 2025. (CCF B, IF = 4.1)

[6] 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. (SCI 一区TOP, IF = 6.0)

[7] 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. (SCI 一区TOP, IF = 6.0)

[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. (CCF C, IF = 3.5)

[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. (ESCI, IF = 0.7)

[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. (ESCI, IF = 2.6)

[11] H. Che and W. Zheng*, “Exploiting information technology to enhance effectiveness in elementary school art education”, International Journal of Art & Design Education, 45(2): 442-457, 2026. (SSCI二区, IF = 1.4)

会议论文：

[1] W. Zheng, Q. Zhou, Y. Tan, J. Zhang, M. Yang, and X. Zhao*, “Protein complex identification via graph-based reformulation using competitive swarm optimizer: a preliminary study”, ACM GECCO, 1-4, 2026

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

[3] H. Che, W. Zheng*, and M. Yang, “A hybrid learning-based differential evolution for mixed-variable optimization problems”. IEEE CISAT, 173-177, 2024

[4] W. Zheng, Y. Zhang, and J. Sun*, “Continuous encoding for community detection in complex networks”, ACM GECCO, 141-142, 2021

[5] W. Zheng, X. Liu, and J. Sun*, “Continuous encoding for community detection in attribute networks with preserving node information”, IEEE CEC, 2031-2038, 2021

[6] 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

[7] 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. 山西省应用基础研究计划项目, 2026-2028, 参与, 在研

3. 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

4. 国家重点研发计划项目, 2018-2020, 参与, 已结题

5. 国家自然科学基金面上基金项目, 2020-2024, 参与, 已结题

6. 国家自然科学基金青年基金项目, 2015-2017, 参与, 已结题

7. 山东省面上项目, 2023-2025, 参与, 在研