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  • Introduction

  • Research Focus

    （1）Qinghua Ling, Wenkai Liu, Fei Han, et al. Feature selection using importance-based two-stage multi-modal multiobjective particle swarm optimization[J]. Cluster Computing, 2025, 28(2): 115.

    （2）Qinghua Ling, Zexu Li, Wenkai Liu, Jinlong Shi，FeiHan， Multi-objective particle swarm optimization based on particle contribution and mutual information for feature selection method[J].Supercomputing,2025, 81: 255.

    （3）Qinghua Ling, Kaimin Tan, Yuyan Wang, et al. Evolutionary extreme learning machine based on an improved MOPSO algorithm[J].Neural Computing and Applications, 2024, doi.org/10.1007/s00521-024-10578-4.

    （4）An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference. Symmetry 2022, 14, 2619. https://doi.org/10.3390/sym14122619.

    （5）基于粒子群优化的深度随机神经网络，江苏科技大学学报（自然科学版），2020.01.

    （6）An efficient gene selection method for microarray data based on LASSO and BPSO，BMC Bioinformatics，2019.12.

    （7）An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity，Cognitive Systems Research，2019.01.

    （8）一种改进的基于先验信息和微粒群算法的基因选择方法，江苏科技大学学报（自然科学版），2017.12.

    （9）An Improved Ensemble of Random VectorFunctional Link Networks Based on ParticleSwarm Optimization with DoubleOptimization Strategy，PLos One，2016.11.01，11（11）：e0165803.

    （10）Improving the Conditioning of Extreme Learning Machine by Using Particle Swarm Optimization，JDCTA:International Journal of Digital Content Technology and its Applications20122，2012.2.01，6（2）：85~93

    （11）A constrained approximation algorithm by encoding second-order derivative information into feedforward neural networks，5th International Conference on Intelligent Computing, ICIC 2009，ULSAN, Korean，2009.9.16-2009.9.19.

    （12）A survey on metaheuristic optimization for random single-hidden layer feedforward neural network，

    Neurocomputing，2019.03.

    （13）An improved hybrid self-inertia weight adaptive particle swarm optimization algorithm with local search，Engineering Optimization，2019.07.

    （14）An improved evolutionary extreme learning machine based on particle swarm optimization，Neurocomputing，2013.09.20，116：87~93.


  • Education Background

  • Teaching