博士于2021.09~2025.06期间，就读于北京理工大学机械于车辆学院。
Ph.D in Version Control Theory, Beijing Institute of Technology, 2021.09-2025.06. (expected)
硕士于2018.09~2021.06期间，毕业于四川大学机械工程学院。
M.S. in Jekyll, Sichuan University, 2018.09-2021.06
本科于2014.09~2018.06期间，毕业于合肥大学。
B.S. in GitHub, Hefei University, 2014.09-2018.06.
Ding W, Ming Z*, Wang G, et al. (2025). "A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process." 2024 IEEE International Conference on Unmanned Systems (ICUS). Nanjing, China, pp. 732-737.
Ding W, Ming Z*, Wang G, Yan Y. (2024). "System-of-systems approach to spatio-temporal crowdsourcing design using improved PPO algorithm based on an invalid action." Knowledge-Based Systems. 285: 111381.
丁伟, 明振军*, 王国新, 等. (2024). "基于正向解析式和多目标博弈优化算法的复杂装备体系优化设计方法." 兵工学报. 45(06): 1974-1990.
丁伟, 明振军*, 王国新, 等. (2023). "基于多层次LSTM网络的多智能体攻防效能动态预测模型." 兵工学报. 44(01): 176-192.
Yao L, Ding W*, He T, et al. (2022). "A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process." Applied Intelligence. 52: 17387–17409.
Ding W, Yao L*, Li Y, et al. (2021). "Incremental learning model based on an improved CKS-PFNN for aluminium electrolysis manufacturing." Neural Computing and Applications. 34(3): 2083-2102.
Ding W, Yao L*, Li Y, et al. (2021). "Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system." Applied Soft Computing. 99: 106925.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA