penfwang.github.io

About Mydelf

🔭 I’m currently working on using Evolutionary Computation including Evolutionary Multi-Objective Optimization for Dimension Reduction, e.g., Feature Selection/Construction.
📫 How to reach me wangpeng@ecs.vuw.ac.nz

Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. “Feature Clustering-Assisted Feature Selection with Differential Evolution”. Pattern Recognition, 2023: 109523.PDF and CODE.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang, Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution, Information Sciences, vol. 626, pp. 586-606, 2023.PDF and CODE.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. “Differential Evolution with Duplication Analysis for Feature Selection in Classification”. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2022.3213236, 14pp, 2022.PDF and CODE.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. “Differential Evolution Based Feature Selection: A Niching-based Multi-objective Approach”. IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2022.3168052. 15pp, 2022.PDF and CODE. You can find more explanations about this paper here in Chinese.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. “Multiobjective Differential Evolution for Feature Selection in Classification”. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2021.3128540, 15pp, 2021.PDF.
Liang Jing, Wang Peng, Guo Li, et al. Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution. Memetic Computing, 2019, 11(4): 407-422.PDF.

Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. “A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification”. IEEE Congress on Evolutionary Computation (CEC). IEEE, 2021. pp. 2053-2060.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. “Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification”. International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Springer, Cham, 2021. pp. 489-505.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. “Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers.” In AI 2022: Advances in Artificial Intelligence: 35th Australasian Joint Conference, Perth, WA, Australia, December 5–8, 2022, Proceedings (pp. 279-293). Cham: Springer International Publishing.
Liang Jing, Wang Peng, Yue Caitong, et al. Multi-objective brainstorm optimization algorithm for sparse optimization. IEEE Congress on Evolutionary Computation (CEC). IEEE, 2018: 1-8.

🔭 03/2021 - 07/2021 As the tutor of Control Systems Engineering (315) for Bachelor students; School of Engineering and Computer Science (Teaching Fellow: Jimmi Rosa), Victoria University of Wellington.
🌱 07/2021 - 11/2021 As the tutor of Machine Learning Tools and Techniques (309) for Master students; School of Engineering and Computer Science (Teaching Fellow: Andrew Lensen, Marcus Frean, and Qi Chen), Victoria University of Wellington.
👯 06/2019 - 08/2019 Internship, Department of Data Banking in Zhongyuan Bank; Responsible for daily business data statistics, and produce routine business data reports by using SQL, including user analysis, operation analysis, product analysis, and in-depth special analysis of key projects.

GIF