Fei Han
Orcid: 0000-0002-3402-6888Affiliations:
- Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Chinese Academy of Science, Hefei Institute of Intelligent Machines, Intelligent Computation Lab, China (former)
- University of Science and Technology of China, Department of Automation, Hefei, China (PhD 2006)
According to our database1,
Fei Han
authored at least 74 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
A many-objective optimization evolutionary algorithm based on hyper-dominance degree.
Swarm Evol. Comput., December, 2023
A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection.
Appl. Intell., September, 2023
An improved algorithm for small object detection based on YOLO v4 and multi-scale contextual information.
Comput. Electr. Eng., January, 2023
A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization.
Intell. Data Anal., 2023
An improved feature selection method based on angle-guided multi-objective PSO and feature-label mutual information.
Appl. Intell., 2023
2022
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems.
Swarm Evol. Comput., 2022
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP.
Neural Comput. Appl., 2022
A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network.
Connect. Sci., 2022
An improved multiobjective particle swarm optimization algorithm based on tripartite competition mechanism.
Appl. Intell., 2022
2021
Multi-objective particle swarm optimization with adaptive strategies for feature selection.
Swarm Evol. Comput., 2021
Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search.
Inf. Sci., 2021
An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm.
Connect. Sci., 2021
An enhanced class topper algorithm based on particle swarm optimizer for global optimization.
Appl. Intell., 2021
Proceedings of the Neural Computing for Advanced Applications, 2021
Multi-objective Particle Swarm Optimization based on Space Decomposition for Feature Selection.
Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021
2020
Efficient network architecture search via multiobjective particle swarm optimization based on decomposition.
Neural Networks, 2020
Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems.
Connect. Sci., 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
2019
A Fast and Accurate Matrix Completion Method Based on QR Decomposition and $L_{2, 1}$ -Norm Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2019
A survey on metaheuristic optimization for random single-hidden layer feedforward neural network.
Neurocomputing, 2019
An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity.
Cogn. Syst. Res., 2019
BMC Bioinform., 2019
A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization.
BMC Bioinform., 2019
An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization.
IEEE Access, 2019
A Modified Multi-Objective Particle Swarm Optimization Based on Levy Flight and Double-Archive Mechanism.
IEEE Access, 2019
An Improved Multi-objective Particle Swarm Optimization with Adaptive Penalty Value for Feature Selection.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019
2018
An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism.
Complex., 2018
An Improved Double Hidden-Layer Variable Length Incremental Extreme Learning Machine Based on Particle Swarm Optimization.
Proceedings of the Intelligent Computing Theories and Application, 2018
An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization.
Neurocomputing, 2017
Proceedings of the Intelligence Science and Big Data Engineering, 2017
Proceedings of the Intelligence Science and Big Data Engineering, 2017
An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity.
Proceedings of the Intelligent Computing Theories and Application, 2017
A Hybrid Algorithm of Adaptive Particle Swarm Optimization Based on Adaptive Moment Estimation Method.
Proceedings of the Intelligent Computing Theories and Application, 2017
An Improved Multi-swarm Particle Swarm Optimization Based on Knowledge Billboard and Periodic Search Mechanism.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017
2016
An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Proceedings of the Advances in Swarm and Computational Intelligence, 2015
A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
An Improved Incremental Error Minimized Extreme Learning Machine for Regression Problem Based on Particle Swarm Optimization.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
2014
Neurocomputing, 2014
An improved extreme learning machine with adaptive growth of hidden nodes based on particle swarm optimization.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A Hybrid Approach for Cancer Classification Based on Particle Swarm Optimization and Prior Information.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014
An Improved Ensemble of Extreme Learning Machine Based on Attractive and Repulsive Particle Swarm Optimization.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
2013
An improved evolutionary extreme learning machine based on particle swarm optimization.
Neurocomputing, 2013
Improved Particle Swarm Optimization Combined with Backpropagation for Feedforward Neural Networks.
Int. J. Intell. Syst., 2013
A Hybrid Attractive and Repulsive Particle Swarm Optimization Based on Gradient Search.
Proceedings of the Intelligent Computing Theories and Technology, 2013
2012
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012
2011
Proceedings of the Seventh International Conference on Natural Computation, 2011
Proceedings of the Bio-Inspired Computing and Applications, 2011
2010
An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks.
Neural Comput. Appl., 2010
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
2009
Proceedings of the Second International Symposium on Intelligent Information Technology and Security Informatics, 2009
A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
An Improved PSO Algorithm Encoding <i>a priori</i> Information for Nonlinear Approximation.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009
2008
A new constrained learning algorithm for function approximation by encoding <i>a priori</i> information into feedforward neural networks.
Neural Comput. Appl., 2008
Modified constrained learning algorithms incorporating additional functional constraints into neural networks.
Inf. Sci., 2008
A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information.
Appl. Math. Comput., 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
A New Approach for Function Approximation Based on Adaptive Particle Swarm Optimization.
Proceedings of the Third International Conference on Natural Computation, 2007
A New Learning Algorithm for Function Approximation By Incorporating A Priori Information Into Feedforward Neural Networks.
Proceedings of the Third International Conference on Natural Computation, 2007
A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007
2006
A modified learning algorithm incorporating additional functional constraints into neural networks.
Int. J. Pattern Recognit. Artif. Intell., 2006
Improved extreme learning machine for function approximation by encoding a priori information.
Neurocomputing, 2006
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., 2006
Improved constrained learning algorithms by incorporating additional functional constraints into neural networks.
Appl. Math. Comput., 2006
A New Learning Algorithm for Function Approximation Incorporating <i>A Priori </i>Information into Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Intelligent Computing, 2005