Improvements to the Conventional Layer-by-Layer BP Algorithm. - Xu-Qin Li; Fei Han 001; Tat-Ming Lok; Michael R. Lyu; Guang-Bin Huang (ICIC (2), 2005)

A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. - Fei Han 001; Deshuang Huang; Yiu-ming Cheung; Guang-Bin Huang (ISNN (1), 2005)

A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine. - Fei Han 001; Tat-Ming Lok; Michael R. Lyu (ISNN (1), 2006)

Improved constrained learning algorithms by incorporating additional functional constraints into neural networks. - Fei Han 001; De-Shuang Huang (Appl. Math. Comput., 2006)

The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine. - Fei Han 001; De-Shuang Huang; Zhi-Hua Zhu; Tie-Hua Rong (Int. J. Neural Syst., 2006)

Improved extreme learning machine for function approximation by encoding a priori information. - Fei Han 001; De-Shuang Huang (Neurocomputing, 2006)

A modified learning algorithm incorporating additional functional constraints into neural networks. - Fei Han 001; Xu-Qin Li; Michael R. Lyu; Tat-Ming Lok (Int. J. Pattern Recognit. Artif. Intell., 2006)

A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network. - Fei Han 001; Qing-Hua Ling (ICIC (3), 2007)

A New Learning Algorithm for Function Approximation By Incorporating A Priori Information Into Feedforward Neural Networks. - Fei Han 001; Qing-Hua Ling (ICNC (1), 2007)

A New Approach for Function Approximation Based on Adaptive Particle Swarm Optimization. - Fei Han 001; Qing-Hua Ling (ICNC (4), 2007)

A New Approach Encoding a Priori Information for Function Approximation. - Fei Han 001; Tong-Yue Gu; Qing-Hua Ling (CSSE (1), 2008)

Improved Learning Algorithms of SLFN for Approximating Periodic Function. - Fei Han 001 (ICIC (2), 2008)

A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information. - Fei Han 001; Qing-Hua Ling (Appl. Math. Comput., 2008)

Modified constrained learning algorithms incorporating additional functional constraints into neural networks. - Fei Han 001; Qing-Hua Ling; De-Shuang Huang (Inf. Sci., 2008)

A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks. - Fei Han 001; De-Shuang Huang (Neural Comput. Appl., 2008)

An Improved Approach Combining Random PSO with BP for Feedforward Neural Networks. - Yu Cui; Shiguang Ju; Fei Han 001; Tong-Yue Gu (AICI, 2009)

An Improved PSO Algorithm Encoding a priori Information for Nonlinear Approximation. - Tong-Yue Gu; Shiguang Ju; Fei Han 001 (ICIC (2), 2009)

A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks. - Qing-Hua Ling; Fei Han 001 (ICIC (2), 2009)

A PSO Algorithm with the Improved Diversity for Feedforward Neural Networks. - Tong-Yue Gu; Shiguang Ju; Fei Han 001 (IITSI, 2009)

Gene Selection and PSO-BP Classifier Encoding a Prior Information. - Yu Cui; Fei Han 001; Shiguang Ju (ICSI (2), 2010)

An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks. - Fei Han 001; Qing-Hua Ling; De-Shuang Huang (Neural Comput. Appl., 2010)

An Improved Extreme Learning Machine Based on Particle Swarm Optimization. - Fei Han 001; Hai-Fen Yao; Qing-Hua Ling (ICIC (3), 2011)

An improved ARPSO for feedforward neural networks. - Fei Han 001; Jiansheng Zhu (ICNC, 2011)

A Diversity-Guided Hybrid Particle Swarm Optimization. - Fei Han 001; Qing Liu 010 (ICIC (3), 2012)

A Hybrid Attractive and Repulsive Particle Swarm Optimization Based on Gradient Search. - Qing Liu 010; Fei Han 001 (ICIC (2), 2013)

Improved twin support vector machine using total margin and graph embedding. - Xiaobo Chen 001; Qirong Mao; Fei Han 001; Jun Liang 004 (ICNC, 2013)

Improved Particle Swarm Optimization Combined with Backpropagation for Feedforward Neural Networks. - Fei Han 001; Jiansheng Zhu (Int. J. Intell. Syst., 2013)

Regularized least squares fisher linear discriminant with applications to image recognition. - Xiaobo Chen 001; Jian Yang 003; Qirong Mao; Fei Han 001 (Neurocomputing, 2013)

An improved evolutionary extreme learning machine based on particle swarm optimization. - Fei Han 001; Hai-Fen Yao; Qing-Hua Ling (Neurocomputing, 2013)

An Improved Ensemble of Extreme Learning Machine Based on Attractive and Repulsive Particle Swarm Optimization. - Dan Yang; Fei Han 001 (ICIC (1), 2014)

A Hybrid Approach for Cancer Classification Based on Particle Swarm Optimization and Prior Information. - Fei Han 001; Ya-Qi Wu; Yu Cui (ICSI (1), 2014)

An improved extreme learning machine with adaptive growth of hidden nodes based on particle swarm optimization. - Min-Ru Zhao; Jian-Ming Zhang; Fei Han 001 (IJCNN, 2014)

A diversity-guided hybrid particle swarm optimization based on gradient search. - Fei Han 001; Qing Liu 010 (Neurocomputing, 2014)

An Improved Incremental Error Minimized Extreme Learning Machine for Regression Problem Based on Particle Swarm Optimization. - Fei Han 001; Min-Ru Zhao; Jian-Ming Zhang (ICIC (3), 2015)

A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization. - Fei Han 001; Dan Yang; Qing-Hua Ling; De-Shuang Huang (IJCNN, 2015)

An Improved Hybrid PSO Based on ARPSO and the Quasi-Newton Method. - Fei Han 001; Qing Liu 010 (ICSI (1), 2015)

A Hybrid Particle Swarm Optimization Embedded Trust Region Method. - Jun He; Fei Han 001; Shoubao Su (ICIC (1), 2016)

An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection. - Ya-Qi Wu; Fei Han 001; Qing-Hua Ling (ICSI (2), 2016)

A Modified Standard PSO-2011 with Robust Search Ability. - Hongguan Liu; Fei Han 001 (BIC-TA, 2017)

An Improved Multi-swarm Particle Swarm Optimization Based on Knowledge Billboard and Periodic Search Mechanism. - Pan-Pan Du; Fei Han 001 (ICIC (1), 2017)

A Hybrid Algorithm of Adaptive Particle Swarm Optimization Based on Adaptive Moment Estimation Method. - Yan Jiang; Fei Han 001 (ICIC (1), 2017)

An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity. - Qing-Hua Ling; Yuqing Song 001; Fei Han 001; Hu Lu (ICIC (1), 2017)

A Hybrid Multi-swarm PSO Algorithm Based on Shuffled Frog Leaping Algorithm. - Hongfei Bao; Fei Han 001 (IScIDE, 2017)

A Hybrid Particle Swarm Optimization Algorithm Based on Migration Mechanism. - Ning Lai; Fei Han 001 (IScIDE, 2017)

An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization. - Fei Han 001; Min-Ru Zhao; Jian-Ming Zhang; Qing-Hua Ling (Neurocomputing, 2017)

A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information. - Fei Han 001; Chun Yang; Ya-Qi Wu; Jiansheng Zhu; Qing-Hua Ling; Yuqing Song 001; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization. - Jing Jiang 021; Fei Han 001; Qing-Hua Ling; Benyue Su (ICIC (3), 2018)

An Improved Double Hidden-Layer Variable Length Incremental Extreme Learning Machine Based on Particle Swarm Optimization. - Qiuwei Li; Fei Han 001; Qinghua Ling (ICIC (2), 2018)

An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism. - Fei Han 001; Yu-Wen-Tian Sun; Qing-Hua Ling (Complex., 2018)

An Improved Multi-objective Particle Swarm Optimization with Adaptive Penalty Value for Feature Selection. - Wentao Chen; Fei Han 001 (BIC-TA (1), 2019)

A Modified Multi-Objective Particle Swarm Optimization Based on Levy Flight and Double-Archive Mechanism. - Tianhua Guan; Fei Han 001; Henry Han (IEEE Access, 2019)

An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization. - Arfan Ali Nagra; Fei Han 001; Qing-Hua Ling; Sumet Mehta (IEEE Access, 2019)

A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization. - Fei Han 001; Di Tang; Yu-Wen-Tian Sun; Zhun Cheng; Jing Jiang 021; Qiuwei Li (BMC Bioinform., 2019)

An efficient gene selection method for microarray data based on LASSO and BPSO. - Ying Xiong; Qing-Hua Ling; Fei Han 001; Qing-Hua Liu (BMC Bioinform., 2019)

An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity. - Qing-Hua Ling; Yuqing Song 001; Fei Han 001; Conghua Zhou; Hu Lu (Cogn. Syst. Res., 2019)

A survey on metaheuristic optimization for random single-hidden layer feedforward neural network. - Fei Han 001; Jing Jiang 021; Qing-Hua Ling; Benyue Su (Neurocomputing, 2019)

A Fast and Accurate Matrix Completion Method Based on QR Decomposition and $L_{2, 1}$ -Norm Minimization. - Qing Liu 010; Franck Davoine; Jian Yang 003; Ying Cui; Zhong Jin; Fei Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

An Improved Conditional Generative Adversarial Network for Microarray Data. - Sheng Fang; Fei Han 001; Wan-Yun Liang; Jing Jiang 021 (ICIC (1), 2020)

A novel particle swarm optimisation with mutation breeding. - Zhe Liu; Fei Han 001; Qing-Hua Ling (Connect. Sci., 2020)

Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems. - Arfan Ali Nagra; Fei Han 001; Qing-Hua Ling; Muhammad Abubaker; Farooq Ahmad; Sumet Mehta; Timothy Apasiba Abeo (Connect. Sci., 2020)

Efficient network architecture search via multiobjective particle swarm optimization based on decomposition. - Jing Jiang 021; Fei Han 001; Qinghua Ling; Jie Wang 050; Tiange Li; Henry Han (Neural Networks, 2020)

Multi-objective Particle Swarm Optimization based on Space Decomposition for Feature Selection. - Mingjie Zhu; Fei Han 001 (CIS, 2021)

A Data Enhancement Method for Gene Expression Profile Based on Improved WGAN-GP. - Shaojun Zhu; Fei Han 001 (NCAA, 2021)

An enhanced class topper algorithm based on particle swarm optimizer for global optimization. - Alfred Adutwum Amponsah; Fei Han 001; Qing-Hua Ling; Patrick Kwaku Kudjo (Appl. Intell., 2021)

An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm. - Alfred Adutwum Amponsah; Fei Han 001; Jeremiah Osei-Kwakye; Ernest Bonah; Qing-Hua Ling (Connect. Sci., 2021)

Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search. - Jing Jiang 021; Fei Han 001; Jie Wang 050; Qinghua Ling; Henry Han; Zizhu Fan (Inf. Sci., 2021)

Multi-objective particle swarm optimization with adaptive strategies for feature selection. - Fei Han 001; Wentao Chen; Qing-Hua Ling; Henry Han (Swarm Evol. Comput., 2021)

An improved multiobjective particle swarm optimization algorithm based on tripartite competition mechanism. - Fei Han 001; Mingpeng Zheng; Qinghua Ling (Appl. Intell., 2022)

A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network. - Jeremiah Osei-Kwakye; Fei Han 001; Alfred Adutwum Amponsah; Qinghua Ling; Timothy Apasiba Abeo (Connect. Sci., 2022)

Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP. - Fei Han 001; Shaojun Zhu; Qinghua Ling; Henry Han; Hailong Li; Xinli Guo; Jiechuan Cao (Neural Comput. Appl., 2022)

A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems. - Jing Jiang 021; Fei Han 001; Jie Wang 050; Qinghua Ling; Henry Han; Yue Wang (Swarm Evol. Comput., 2022)

An improved feature selection method based on angle-guided multi-objective PSO and feature-label mutual information. - Fei Han 001; Tianyi Wang; Qinghua Ling (Appl. Intell., 2023)

A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization. - Xiang Bao; Fei Han 001; Qing-Hua Ling; Yan-Qiong Ren (Intell. Data Anal., 2023)

An improved algorithm for small object detection based on YOLO v4 and multi-scale contextual information. - Shu-Jun Ji; Qing-Hua Ling; Fei Han 001 (Comput. Electr. Eng., 2023)

A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection. - Jeremiah Osei-Kwakye; Fei Han 001; Alfred Adutwum Amponsah; Qing-Hua Ling; Timothy Apasiba Abeo (Appl. Intell., 2023)

A many-objective optimization evolutionary algorithm based on hyper-dominance degree. - Zhe Liu; Fei Han 001; Qinghua Ling; Henry Han; Jing Jiang 021 (Swarm Evol. Comput., 2023)

Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder. - Jing Wu; Yanqiong Ren; Fei Han 001; Xiang Bao (ICIC (LNBI 1), 2024)

A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems. - Zhe Liu; Fei Han 001; Qinghua Ling; Henry Han; Jing Jiang 021 (Soft Comput., 2024)

Causal fMRI-Mamba: Causal State Space Model for Neural Decoding and Brain Task States Recognition. - Weihao Deng; Fei Han 001; Qinghua Ling; Qing Liu 010; Henry Han (ICASSP, 2025)

A multi-objective evolutionary algorithm based on a grid with adaptive divisions for multi-objective optimization with irregular Pareto fronts. - Zhe Liu; Fei Han 001; Qinghua Ling; Henry Han; Jing Jiang 021; Qing Liu 010 (Appl. Soft Comput., 2025)

RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention. - Huiqing Wei; Fei Han 001; Qing Liu 010; Henry Han (Complex Syst. Model. Simul., 2025)

A denoising majority weighted minority oversampling technique for imbalanced classification. - Fei Han 001; Chuanzhen Wang; Qinghua Ling; Henry Han (Expert Syst. Appl., 2025)

Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization. - Sumet Mehta; Fei Han 001; Muhammad Sohail 001; Bhekisipho Twala; Asad Ullah; Fasee Ullah; Arfat Ahmad Khan; Qinghua Ling (PeerJ Comput. Sci., 2025)

Contribution-based imbalanced hybrid resampling ensemble. - Lingyun Zhao; Fei Han 001; Qinghua Ling; Yubin Ge; Yuze Zhang; Qing Liu 010; Henry Han (Pattern Recognit., 2025)

A heterogeneous sparsity knowledge guided evolutionary algorithm for sparse large-scale multiobjective optimization. - Jing Jiang 021; Huoyuan Wang; Pingping Tong; Juanjuan Hong; Zhe Liu; Xing Zhuang; Benyue Su; Fei Han 001 (Swarm Evol. Comput., 2025)

Feature selection using importance-based two-stage multi-modal multiobjective particle swarm optimization. - Qinghua Ling; Wenkai Liu; Fei Han 001; Jinlong Shi; Ali Aweis Hussein; Ben Sanvee Sayway (Clust. Comput., 2025)

MORPSO_ECD+ELM: A Unified Framework for Gene Selection and Cancer Classification. - Sumet Mehta; Fei Han 001; Qinghua Ling; Muhammad Sohail 001; Arfan Ali Nagra (IEEE J. Biomed. Health Informatics, 2025)

Feature enrichment imitative reinforcement learning for high-frequency trading. - Fei Han 001; Qinghua Ling; Sheng Lu; Henry Han (Expert Syst. Appl., 2026)