Qing-Hua Ling

32 papers B 1Journal 21Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Instance Multi-Label Learning via Label Specific Features and Label Enhancement with Collaborative Multi Objective Particle Swarm Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiang Bao, Fei Han, Qing-Hua Ling, Henry Han
2023 J jnl
A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection.
Appl. Intell.
Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qing-Hua Ling, Timothy Apasiba Abeo
2023 J jnl
A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization.
Intell. Data Anal.
Xiang Bao, Fei Han, Qing-Hua Ling, Yan-Qiong Ren
2023 J jnl
An improved algorithm for small object detection based on YOLO v4 and multi-scale contextual information.
Comput. Electr. Eng.
Shu-Jun Ji, Qing-Hua Ling, Fei Han
2022 J jnl
An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference.
Symmetry
Qing-Hua Ling, Zhi-Hao Tang, Gan Huang, Fei Han
2021 J jnl
An enhanced class topper algorithm based on particle swarm optimizer for global optimization.
Appl. Intell.
Alfred Adutwum Amponsah, Fei Han, Qing-Hua Ling, Patrick Kwaku Kudjo
2021 J jnl
An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm.
Connect. Sci.
Alfred Adutwum Amponsah, Fei Han, Jeremiah Osei-Kwakye, Ernest Bonnah, Qing-Hua Ling
2021 J jnl
Multi-objective particle swarm optimization with adaptive strategies for feature selection.
Swarm Evol. Comput.
Fei Han, Wentao Chen, Qing-Hua Ling, Henry Han
2020 J jnl
A novel particle swarm optimisation with mutation breeding.
Connect. Sci.
Zhe Liu, Fei Han, Qing-Hua Ling
2020 J jnl
Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems.
Connect. Sci.
Arfan Ali Nagra, Fei Han, Qing-Hua Ling, Muhammad Abubaker, Farooq Ahmad, Sumet Mehta, Timothy Apasiba Abeo
2019 J jnl
A survey on metaheuristic optimization for random single-hidden layer feedforward neural network.
Neurocomputing
Fei Han, Jing Jiang, Qing-Hua Ling, Benyue Su
2019 J jnl
An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization.
IEEE Access
Arfan Ali Nagra, Fei Han, Qing-Hua Ling, Sumet Mehta
2019 J jnl
An efficient gene selection method for microarray data based on LASSO and BPSO.
BMC Bioinform.
Ying Xiong, Qing-Hua Ling, Fei Han, Qing-Hua Liu
2019 J jnl
An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity.
Cogn. Syst. Res.
Qing-Hua Ling, Yuqing Song, Fei Han, Conghua Zhou, Hu Lu
2018 — conf
An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization.
ICIC (3)
Jing Jiang, Fei Han, Qing-Hua Ling, Benyue Su
2018 J jnl
An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism.
Complex.
Fei Han, Yu-Wen-Tian Sun, Qing-Hua Ling
2017 J jnl
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.
IEEE ACM Trans. Comput. Biol. Bioinform.
Fei Han, Chun Yang, Ya-Qi Wu, Jiansheng Zhu, Qing-Hua Ling, Yuqing Song, De-Shuang Huang
2017 — conf
An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity.
ICIC (1)
Qing-Hua Ling, Yuqing Song, Fei Han, Hu Lu
2017 J jnl
An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization.
Neurocomputing
Fei Han, Min-Ru Zhao, Jian-Ming Zhang, Qing-Hua Ling
2016 — conf
An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection.
ICSI (2)
Ya-Qi Wu, Fei Han, Qing-Hua Ling
2015 B conf
A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization.
IJCNN
Fei Han, Dan Yang, Qing-Hua Ling, De-Shuang Huang
2013 J jnl
An improved evolutionary extreme learning machine based on particle swarm optimization.
Neurocomputing
Fei Han, Hai-Fen Yao, Qing-Hua Ling
2011 — conf
An Improved Extreme Learning Machine Based on Particle Swarm Optimization.
ICIC (3)
Fei Han, Hai-Fen Yao, Qing-Hua Ling
2010 J jnl
An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks.
Neural Comput. Appl.
Fei Han, Qing-Hua Ling, De-Shuang Huang
2009 — conf
A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks.
ICIC (2)
Qing-Hua Ling, Fei Han
2008 — conf
A New Approach Encoding a Priori Information for Function Approximation.
CSSE (1)
Fei Han, Tong-Yue Gu, Qing-Hua Ling
2008 J jnl
A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information.
Appl. Math. Comput.
Fei Han, Qing-Hua Ling
2008 J jnl
Modified constrained learning algorithms incorporating additional functional constraints into neural networks.
Inf. Sci.
Fei Han, Qing-Hua Ling, De-Shuang Huang
2007 — conf
A New Approach for Function Approximation Based on Adaptive Particle Swarm Optimization.
ICNC (4)
Fei Han, Qing-Hua Ling
2007 — conf
A New Learning Algorithm for Function Approximation By Incorporating A Priori Information Into Feedforward Neural Networks.
ICNC (1)
Fei Han, Qing-Hua Ling
2007 — conf
A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network.
ICIC (3)
Fei Han, Qing-Hua Ling
2005 — conf
3D simulation design based on openGL for four-legged robot.
ROBIO
Qing-Hua Ling, Max Q.-H. Meng, Tao Mei, Haoran Lu