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ORCIDQing-Hua Ling
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2020 – today
- 2024
[j30]Fei Han, Fanyu Li, Qinghua Ling, Henry Han, Tianyi Lu, Zijian Jiao, Haonan Zhang:
A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO. Neural Process. Lett. 56(2): 110 (2024)- [j29]Zhe Liu
, Fei Han, Qinghua Ling, Henry Han, Jing Jiang:
A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems. Soft Comput. 28(9-10): 6475-6499 (2024) - 2023
- [j28]Fei Han, Tianyi Wang, Qinghua Ling:
An improved feature selection method based on angle-guided multi-objective PSO and feature-label mutual information. Appl. Intell. 53(3): 3545-3562 (2023) - [j27]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): 20535-20560 (2023) - [j26]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: 108490 (2023) - [j25]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): 1681-1698 (2023) - [j24]Zhe Liu, Fei Han, Qinghua Ling, Henry Han, Jing Jiang:
A many-objective optimization evolutionary algorithm based on hyper-dominance degree. Swarm Evol. Comput. 83: 101411 (2023) - 2022
- [j23]Fei Han, Mingpeng Zheng, Qinghua Ling:
An improved multiobjective particle swarm optimization algorithm based on tripartite competition mechanism. Appl. Intell. 52(5): 5784-5816 (2022) - [j22]Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qinghua Ling, Timothy Apasiba Abeo:
A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network. Connect. Sci. 34(1): 578-607 (2022) - [j21]Fei Han, Shaojun Zhu, Qinghua Ling, Henry Han, Hailong Li, Xinli Guo, Jiechuan Cao:
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP. Neural Comput. Appl. 34(19): 16325-16339 (2022) - [j20]Jing Jiang, Fei Han, Jie Wang, Qinghua Ling, Henry Han, Yue Wang:
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems. Swarm Evol. Comput. 72: 101093 (2022) - [j19]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): 2619 (2022) - 2021
- [j18]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): 1022-1040 (2021) - [j17]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): 803-834 (2021) - [j16]Jing Jiang, Fei Han, Jie Wang, Qinghua Ling, Henry Han, Zizhu Fan:
Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search. Inf. Sci. 576: 557-576 (2021) - [j15]Fei Han, Wentao Chen, Qing-Hua Ling, Henry Han:
Multi-objective particle swarm optimization with adaptive strategies for feature selection. Swarm Evol. Comput. 62: 100847 (2021) - 2020
- [j14]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): 16-36 (2020) - [j13]Zhe Liu, Fei Han, Qing-Hua Ling:
A novel particle swarm optimisation with mutation breeding. Connect. Sci. 32(4): 333-361 (2020) - [j12]Jing Jiang, Fei Han, Qinghua Ling, Jie Wang, Tiange Li, Henry Han:
Efficient network architecture search via multiobjective particle swarm optimization based on decomposition. Neural Networks 123: 305-316 (2020)
2010 – 2019
- 2019
- [j11]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: 50388-50399 (2019) - [j10]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. 20-S(22): 715 (2019) - [j9]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: 51-60 (2019) - [j8]Fei Han, Jing Jiang, Qing-Hua Ling, Benyue Su:
A survey on metaheuristic optimization for random single-hidden layer feedforward neural network. Neurocomputing 335: 261-273 (2019) - 2018
- [j7]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: 8702820:1-8702820:22 (2018) - [c12]Jing Jiang, Fei Han, Qing-Hua Ling, Benyue Su:
An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization. ICIC (3) 2018: 1-6 - [c11]Qiuwei Li, Fei Han, Qinghua Ling:
An Improved Double Hidden-Layer Variable Length Incremental Extreme Learning Machine Based on Particle Swarm Optimization. ICIC (2) 2018: 34-43 - 2017
- [j6]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: 133-142 (2017) - [j5]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): 85-96 (2017) - [c10]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: 121-127 - 2016
- [c9]Ya-Qi Wu, Fei Han, Qing-Hua Ling:
An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection. ICSI (2) 2016: 89-96 - 2015
- [c8]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: 1-7 - 2013
- [j4]Fei Han, Hai-Fen Yao, Qing-Hua Ling:
An improved evolutionary extreme learning machine based on particle swarm optimization. Neurocomputing 116: 87-93 (2013) - 2011
- [c7]Fei Han, Hai-Fen Yao, Qing-Hua Ling:
An Improved Extreme Learning Machine Based on Particle Swarm Optimization. ICIC (3) 2011: 699-704 - 2010
- [j3]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): 255-261 (2010)
2000 – 2009
- 2009
- [c6]Qing-Hua Ling, Fei Han:
A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks. ICIC (2) 2009: 928-934 - 2008
- [j2]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): 792-798 (2008) - [j1]Fei Han, Qing-Hua Ling, De-Shuang Huang:
Modified constrained learning algorithms incorporating additional functional constraints into neural networks. Inf. Sci. 178(3): 907-919 (2008) - [c5]Fei Han, Tong-Yue Gu, Qing-Hua Ling:
A New Approach Encoding a Priori Information for Function Approximation. CSSE (1) 2008: 82-85 - 2007
- [c4]Fei Han, Qing-Hua Ling:
A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network. ICIC (3) 2007: 64-72 - [c3]Fei Han, Qing-Hua Ling:
A New Learning Algorithm for Function Approximation By Incorporating A Priori Information Into Feedforward Neural Networks. ICNC (1) 2007: 29-33 - [c2]Fei Han, Qing-Hua Ling:
A New Approach for Function Approximation Based on Adaptive Particle Swarm Optimization. ICNC (4) 2007: 501-505 - 2005
- [c1]Qing-Hua Ling, Max Q.-H. Meng, Tao Mei, Haoran Lu:
3D simulation design based on openGL for four-legged robot. ROBIO 2005: 713-717
Coauthor Index
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