Ying Weiqin is an associate professor and master tutor. He mainly engages in  evolutionary computation, parallel computing and artificial intelligence including the design and analysis of multi-objective evolutionary algorithms and their applications, the design and implementation of parallel distributed evolutionary algorithms, the application of deep learning and evolutionary computing in computer games, etc.. He was selected as the Guangzhou Zhujiang Technology Star in 2014 and has hosted more than 10 projects including the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province and the Guangzhou Science and Technology Plan. He has published more than 20 papers and his main research results were published in Soft Computing, "Journal of Computer Science" and other domestic and foreign academic journals. He was authorized one invention patents and more than 20 software copyrights.

E-mail: yingweiqin@scut.edu.cn

Research Direction:intelligent computing, multi-objective optimization, neural architecture search, etc. This encompasses the design of learning-guided efficient decomposed multi-objective evolutionary algorithms and their applications in community detection, sensor networks, and other fields; as well as multi-objective evolutionary search methods for neural architectures of deep neural networks and their applications.

Representative Papers

1.Weiqin Ying; Bin Wu; Yu Wu; Yali Deng; Hainan Huang; Zhenyu Wang, Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization, Complexity, 2019.02, 2019: 7125037 (SCI JCR二区)

2. Weiqin Ying; Yuehong Xie; Yu Wu; Bingshen Wu; Shiyun Chen; Weipeng He, Universal Partially Evolved Parallelization of MOEA/D for Multi-Objective Optimization on Message-Passing Clusters, Soft Computing, 2017.09, 21(18): 5399~5412 (SCI JCR二区)

3. Weiqin Ying; Jalil Hassan; Bingshen Wu; Yu Wu; Zhenyu Ying; Yucheng Luo; ZhenYu Wang, Parallel Conical Area Community Detection Using Evolutionary Multi-objective Optimization, Processes, 2019, 7(2), 111 (SCI JCR二区)

4. Weiqin Ying; Yuehong Xie; Xing Xu; Yu Wu; An Xu; Zhenyu Wang, An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2015.11.1, E98-A(11): 2330~2335 (SCI收录)

5. An Xu; Weixing Sun; Ruohong Zhao; Jiurong Wu; Weiqin Ying,  Lateral Drift Constrained Structural Optimization of an Actual Supertall Building Acted by Wind Load, Structural Design of Tall and Special Buildings, 2017.06, 26(6), e1344 (SCI JCR二区)