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ORCIDWenjun Wang 0003
Person information
- affiliation: Shenzhen University, College of Computer Science and Software Engineering, China
Other persons with the same name
- Wenjun Wang — disambiguation page
- Wenjun Wang 0001
![[0000-0003-4415-9323]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4415-9323")
— Nanchang Institute of Technology, School of Business Administration, China - Wenjun Wang 0002 — Tianjin University, School of Computer Science and Technology, China (and 1 more)
- Wenjun Wang 0004 — University of Iowa, Department of Management Sciences, Iowa City, IA, USA
- Wenjun Wang 0005 — Tsinghua University, Beijing, China
- Wenjun Wang 0006 — University of Jinan, China
- Wenjun Wang 0007 — Wenzhou Kean University, China
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2020 – today
- 2024
[c7]Yingfang Yuan, Wenjun Wang, Xin Li, Kefan Chen, Yonghan Zhang, Wei Pang:
Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. GECCO 2024- 2023
- [c6]Zhenghan Song, Yunyi Li, Wenjun Wang:
HGADC: Hierarchical Genetic Algorithm with Density-Based Clustering for TSP. BIC-TA (1) 2023: 262-275 - 2021
- [c5]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. CEC 2021: 482-489 - [c4]Yingfang Yuan, Wenjun Wang, Wei Pang:
A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction. GECCO 2021: 386-394 - [c3]Yingfang Yuan, Wenjun Wang, Wei Pang:
Which hyperparameters to optimise?: an investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction. GECCO Companion 2021: 1403-1404 - [i4]Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang:
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks. CoRR abs/2101.09300 (2021) - [i3]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction. CoRR abs/2102.04283 (2021) - [i2]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. CoRR abs/2102.11995 (2021) - [i1]Yingfang Yuan, Wenjun Wang, Wei Pang:
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction. CoRR abs/2104.06046 (2021) - 2020
- [c2]Wenjun Wang, Wei Pang, Paul A. Bingham, Mania Mania, Tzu-Yu Chen, Justin J. Perry:
Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels. CEC 2020: 1-7
2010 – 2019
- 2019
- [j6]Qiuzhen Lin, Qingling Zhu, Na Wang, Peizhi Huang, Wenjun Wang, Jianyong Chen, Zhong Ming:
A multi-objective immune algorithm with dynamic population strategy. Swarm Evol. Comput. 50 (2019) - [j5]Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen:
An Effective Ensemble Framework for Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(4): 645-659 (2019) - 2018
- [j4]Qiuzhen Lin, Miaomiao Zhu, Genghui Li, Wenjun Wang, Laizhong Cui, Jianyong Chen, Jian Lu:
A novel artificial bee colony algorithm with local and global information interaction. Appl. Soft Comput. 62: 702-735 (2018) - 2016
- [j3]Qiuzhen Lin, Zhiwang Liu, Qiao Yan, Zhihua Du, Carlos A. Coello Coello, Zhengping Liang, Wenjun Wang, Jianyong Chen:
Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm. Inf. Sci. 339: 332-352 (2016) - [j2]Qingling Zhu, Qiuzhen Lin, Zhihua Du, Zhengping Liang, Wenjun Wang, Zexuan Zhu, Jianyong Chen, Peizhi Huang, Zhong Ming:
A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm. Inf. Sci. 345: 177-198 (2016) - [c1]Shaoqiang Yang, Wenjun Wang, Qiuzhen Lin, Jianyong Chen:
A Novel PSO-DE Co-evolutionary Algorithm Based on Decomposition Framework. SmartCom 2016: 381-389 - 2011
- [j1]Wenjun Wang, Yi Lin, Jubo Zhu:
Interest models and applications in analyzing the rise and decline of Qing dynasty. Kybernetes 40(9/10): 1486-1502 (2011)
Coauthor Index
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