Fei Han

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 36

Top Topics

Evolutionary Algorithm

Extreme Learning Machine

Top Venues

Swarm Evol. Comput.

Publications

Jing Wu, Yanqiong Ren, Fei Han, Xiang Bao
Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder. ICIC (LNBI 1) (2024)
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) (2024)
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)
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 (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)
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) (2023)
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 (2022)
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) (2022)
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) (2022)
Fei Han, Mingpeng Zheng, Qinghua Ling
An improved multiobjective particle swarm optimization algorithm based on tripartite competition mechanism. Appl. Intell. 52 (5) (2022)
Shaojun Zhu, Fei Han
A Data Enhancement Method for Gene Expression Profile Based on Improved WGAN-GP. NCAA (2021)
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 (2021)
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)
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 (2020)
Sheng Fang, Fei Han, Wan-Yun Liang, Jing Jiang
An Improved Conditional Generative Adversarial Network for Microarray Data. ICIC (1) (2020)
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)
Tianhua Guan, Fei Han, Henry Han
A Modified Multi-Objective Particle Swarm Optimization Based on Levy Flight and Double-Archive Mechanism. IEEE Access 7 (2019)
Wentao Chen, Fei Han
An Improved Multi-objective Particle Swarm Optimization with Adaptive Penalty Value for Feature Selection. BIC-TA (1) (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)
Fei Han, Di Tang, Yu-Wen-Tian Sun, Zhun Cheng, Jing Jiang, Qiuwei Li
A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization. BMC Bioinform. (8) (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)
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)
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, Min-Ru Zhao, Jian-Ming Zhang
An Improved Incremental Error Minimized Extreme Learning Machine for Regression Problem Based on Particle Swarm Optimization. ICIC (3) (2015)
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, Ya-Qi Wu, Yu Cui
A Hybrid Approach for Cancer Classification Based on Particle Swarm Optimization and Prior Information. ICSI (1) (2014)
Dan Yang, Fei Han
An Improved Ensemble of Extreme Learning Machine Based on Attractive and Repulsive Particle Swarm Optimization. ICIC (1) (2014)
Min-Ru Zhao, Jian-Ming Zhang, Fei Han
An improved extreme learning machine with adaptive growth of hidden nodes based on particle swarm optimization. IJCNN (2014)
Fei Han, Jiansheng Zhu
Improved Particle Swarm Optimization Combined with Backpropagation for Feedforward Neural Networks. Int. J. Intell. Syst. 28 (3) (2013)
Fei Han, Hai-Fen Yao, Qing-Hua Ling
An improved evolutionary extreme learning machine based on particle swarm optimization. Neurocomputing 116 (2013)
Fei Han, Jiansheng Zhu
An improved ARPSO for feedforward neural networks. ICNC (2011)
Fei Han, Hai-Fen Yao, Qing-Hua Ling
An Improved Extreme Learning Machine Based on Particle Swarm Optimization. ICIC (3) (2011)
Yu Cui, Fei Han, Shiguang Ju
Gene Selection and PSO-BP Classifier Encoding a Prior Information. ICSI (2) (2010)
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)
Tong-Yue Gu, Shiguang Ju, Fei Han
A PSO Algorithm with the Improved Diversity for Feedforward Neural Networks. IITSI (2009)
Yu Cui, Shiguang Ju, Fei Han, Tong-Yue Gu
An Improved Approach Combining Random PSO with BP for Feedforward Neural Networks. AICI (2009)
Qing-Hua Ling, Fei Han
A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks. ICIC (2) (2009)
Tong-Yue Gu, Shiguang Ju, Fei Han
Information for Nonlinear Approximation. 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, De-Shuang Huang
information into feedforward neural networks. Neural Comput. Appl. 17 (5-6) (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)
Fei Han, Xu-Qin Li, Michael R. Lyu, Tat-Ming Lok
A modified learning algorithm incorporating additional functional constraints into neural networks. Int. J. Pattern Recognit. Artif. Intell. 20 (2) (2006)
Fei Han, De-Shuang Huang, Zhi-Hua Zhu, Tie-Hua Rong
The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine. Int. J. Neural Syst. 16 (1) (2006)
Fei Han, De-Shuang Huang
Improved constrained learning algorithms by incorporating additional functional constraints into neural networks. Appl. Math. Comput. 174 (1) (2006)
Fei Han, Tat-Ming Lok, Michael R. Lyu
Information into Extreme Learning Machine. ISNN (1) (2006)
Fei Han, De-Shuang Huang
Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing 69 (16-18) (2006)
Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang
A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. ISNN (1) (2005)
Xu-Qin Li, Fei Han, Tat-Ming Lok, Michael R. Lyu, Guang-Bin Huang
Improvements to the Conventional Layer-by-Layer BP Algorithm. ICIC (2) (2005)