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

（2）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.

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

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

（5）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.

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

（7）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

（8）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.

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

Neurocomputing，2019.03.

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

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