Qing-Hua Ling

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 20

Top Topics

Extreme Learning Machine

Feature Selection

Top Venues

Publications

Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qing-Hua Ling, Timothy Apasiba Abeo
A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection. Appl. Intell. 53 (17) (2023)
Xiang Bao, Fei Han, Qing-Hua Ling, Yan-Qiong Ren
A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization. Intell. Data Anal. 27 (6) (2023)
Shu-Jun Ji, Qing-Hua Ling, Fei Han
An improved algorithm for small object detection based on YOLO v4 and multi-scale contextual information. Comput. Electr. Eng. 105 (2023)
Qing-Hua Ling, Zhi-Hao Tang, Gan Huang, Fei Han
An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference. Symmetry 14 (12) (2022)
Alfred Adutwum Amponsah, Fei Han, Qing-Hua Ling, Patrick Kwaku Kudjo
An enhanced class topper algorithm based on particle swarm optimizer for global optimization. Appl. Intell. 51 (2) (2021)
Alfred Adutwum Amponsah, Fei Han, Jeremiah Osei-Kwakye, Ernest Bonah, Qing-Hua Ling
An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm. Connect. Sci. 33 (4) (2021)
Fei Han, Wentao Chen, Qing-Hua Ling, Henry Han
Multi-objective particle swarm optimization with adaptive strategies for feature selection. Swarm Evol. Comput. 62 (2021)
Arfan Ali Nagra, Fei Han, Qing-Hua Ling, Muhammad Abubaker, Farooq Ahmad, Sumet Mehta, Timothy Apasiba Abeo
Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems. Connect. Sci. 32 (1) (2020)
Zhe Liu, Fei Han, Qing-Hua Ling
A novel particle swarm optimisation with mutation breeding. Connect. Sci. 32 (4) (2020)
Fei Han, Jing Jiang, Qing-Hua Ling, Benyue Su
A survey on metaheuristic optimization for random single-hidden layer feedforward neural network. Neurocomputing 335 (2019)
Ying Xiong, Qing-Hua Ling, Fei Han, Qing-Hua Liu
An efficient gene selection method for microarray data based on LASSO and BPSO. BMC Bioinform. (22) (2019)
Qing-Hua Ling, Yuqing Song, Fei Han, Conghua Zhou, Hu Lu
An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity. Cogn. Syst. Res. 53 (2019)
Arfan Ali Nagra, Fei Han, Qing-Hua Ling, Sumet Mehta
An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization. IEEE Access 7 (2019)
Fei Han, Yu-Wen-Tian Sun, Qing-Hua Ling
An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism. Complex. 2018 (2018)
Jing Jiang, Fei Han, Qing-Hua Ling, Benyue Su
An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization. ICIC (3) (2018)
Qing-Hua Ling, Yuqing Song, Fei Han, Hu Lu
An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity. ICIC (1) (2017)
Fei Han, Min-Ru Zhao, Jian-Ming Zhang, Qing-Hua Ling
An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization. Neurocomputing 228 (2017)
Fei Han, Chun Yang, Ya-Qi Wu, Jiansheng Zhu, Qing-Hua Ling, Yuqing Song, De-Shuang Huang
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (1) (2017)
Ya-Qi Wu, Fei Han, Qing-Hua Ling
An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection. ICSI (2) (2016)
Fei Han, Dan Yang, Qing-Hua Ling, De-Shuang Huang
A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization. IJCNN (2015)
Fei Han, Hai-Fen Yao, Qing-Hua Ling
An improved evolutionary extreme learning machine based on particle swarm optimization. Neurocomputing 116 (2013)
Fei Han, Hai-Fen Yao, Qing-Hua Ling
An Improved Extreme Learning Machine Based on Particle Swarm Optimization. ICIC (3) (2011)
Fei Han, Qing-Hua Ling, De-Shuang Huang
An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks. Neural Comput. Appl. 19 (2) (2010)
Qing-Hua Ling, Fei Han
A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks. ICIC (2) (2009)
Fei Han, Qing-Hua Ling, De-Shuang Huang
Modified constrained learning algorithms incorporating additional functional constraints into neural networks. Inf. Sci. 178 (3) (2008)
Fei Han, Qing-Hua Ling
A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information. Appl. Math. Comput. 205 (2) (2008)
Fei Han, Tong-Yue Gu, Qing-Hua Ling
A New Approach Encoding a Priori Information for Function Approximation. CSSE (1) (2008)
Fei Han, Qing-Hua Ling
A New Approach for Function Approximation Based on Adaptive Particle Swarm Optimization. ICNC (4) (2007)
Fei Han, Qing-Hua Ling
A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network. ICIC (3) (2007)
Fei Han, Qing-Hua Ling
A New Learning Algorithm for Function Approximation By Incorporating A Priori Information Into Feedforward Neural Networks. ICNC (1) (2007)
Qing-Hua Ling, Max Q.-H. Meng, Tao Mei, Haoran Lu
3D simulation design based on openGL for four-legged robot. ROBIO (2005)