Feature Selection Method with Multi-Population Agent Genetic Algorithm. - Yongming Li 003; Xiaoping Zeng (ICONIP (2), 2008)

One Improved Agent Genetic Algorithm - Ring-like Agent Genetic Algorithm for Global Numerical Optimization. - Bin Liu; Teqi Duan; Yongming Li 003 (Asia Pac. J. Oper. Res., 2009)

Research of multi-population agent genetic algorithm for feature selection. - Yongming Li 003; Sujuan Zhang; Xiaoping Zeng (Expert Syst. Appl., 2009)

Multi-population co-genetic algorithm with double chain-like agents structure for parallel global numerical optimization. - Yongming Li 003; Xiaoping Zeng (Appl. Intell., 2010)

Sequential multi-criteria feature selection algorithm based on agent genetic algorithm. - Yongming Li 003; Xiaoping Zeng (Appl. Intell., 2010)

Two coding based adaptive parallel co-genetic algorithm with double agents structure. - Yongming Li 003; Xiaoping Zeng; Liang Han; Pin Wang (Eng. Appl. Artif. Intell., 2010)

Dynamic brain magnetic resonance image registration based on inheritance idea and PSO. - Yongming Li 003; Han Lai; Liuyi Lu; Yiwen Gao 004; Pin Wang (BMEI, 2011)

Hybrid corner detection algorithm for brain magnetic resonance image registration. - Di Zhou; Yiwen Gao 004; Liuyi Lu; Honghui Wang; Yongming Li 003; Pin Wang (BMEI, 2011)

Classification of Alzheimer's Disease Based on Multiple Anatomical Structures' Asymmetric Magnetic Resonance Imaging Feature Selection. - Yongming Li 003; Jin Yan; Pin Wang; Yang Lv; Mingguo Qiu; Xuan He (ICONIP (4), 2015)

Automatic cell nuclei segmentation and classification of breast cancer histopathology images. - Pin Wang; Xianling Hu; Yongming Li 003; Qianqian Liu; Xinjian Zhu (Signal Process., 2016)

Simultaneous learning of speech feature and segment for classification of Parkinson disease. - Yongming Li 003; Cheng Zhang; Yunjian Jia; Ping Wang; Xiaoheng Zhang; Tingjie Xie (Healthcom, 2017)

Proportional Hybrid Mechanism for Population Based Feature Selection Algorithm. - Pin Wang; Yongming Li 003; Bohan Chen; Xianling Hu; Jin Yan; Yu Xia; Jie Yang (Int. J. Inf. Technol. Decis. Mak., 2017)

SAR despeckling via classification-based nonlocal and local sparse representation. - Shujun Liu; Guoqing Wu; Xinzheng Zhang 002; Kui Zhang; Pin Wang; Yongming Li 003 (Neurocomputing, 2017)

Two-Stage Multi-Task Representation Learning for Synthetic Aperture Radar (SAR) Target Images Classification. - Xinzheng Zhang 002; Yijian Wang; Zhiying Tan; Dong Li 007; Shujun Liu; Tao Wang; Yongming Li 003 (Sensors, 2017)

Joint spectral-spatial hyperspectral image classification based on hierarchical subspace switch ensemble learning algorithm. - Yongming Li 003; Tingjie Xie; Pin Wang; Jie Wang; Shujun Liu; Xichuan Zhou; Xinzheng Zhang 002 (Appl. Intell., 2018)

Feature-based analysis of cell nuclei structure for classification of histopathological images. - Pin Wang; Sha Xu; Yongming Li 003; Lirui Wang; Qi Song (Digit. Signal Process., 2018)

Adaptive Local Aspect Dictionary Pair Learning for Synthetic Aperture Radar Target Image Classification. - Xinzheng Zhang 002; Zhiying Tan; Guo Liu; Hongqing Liu; Yijian Wang; Shujun Liu; Yongming Li 003; Hao Xu; Jili Xia (Sensors, 2018)

Weighted Local Discriminant Preservation Projection Ensemble Algorithm With Embedded Micro-Noise. - Yuchuan Liu; Xiaoheng Tan; Yongming Li 003; Pin Wang (IEEE Access, 2019)

Automatic cell nuclei segmentation and classification of cervical Pap smear images. - Pin Wang; Lirui Wang; Yongming Li 003; Qi Song; Shanshan Lv; Xianling Hu (Biomed. Signal Process. Control., 2019)

Particle Swarm Optimization-Based SVM for Classification of Cable Surface Defects of the Cable-Stayed Bridges. - Xinke Li; Yongcai Guo; Yongming Li 003 (IEEE Access, 2020)

Adaptive Pruning of Transfer Learned Deep Convolutional Neural Network for Classification of Cervical Pap Smear Images. - Pin Wang; Jiaxin Wang; Yongming Li 003; Linyu Li 003; Hehua Zhang (IEEE Access, 2020)

Cross-task extreme learning machine for breast cancer image classification with deep convolutional features. - Pin Wang; Qi Song; Yongming Li 003; Shanshan Lv; Jiaxin Wang; Linyu Li 003; Hehua Zhang (Biomed. Signal Process. Control., 2020)

Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection. - Xiaoheng Zhang; Yongming Li 003; Pin Wang; Xiaoheng Tan; Yuchuan Liu (CoRR, 2020)

Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble. - Yongming Li 003; Yan Lei; Pin Wang; Yuchuan Liu (CoRR, 2020)

Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition. - Yongming Li 003; Lang Zhou; Lingyun Qin; Yuwei Zeng; Yuchuan Liu; Yan Lei; Pin Wang; Fan Li (CoRR, 2020)

SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. - Zhenmou Yuan; Mingfeng Jiang; Yaming Wang; Bo Wei 004; Yongming Li 003; Pin Wang; Wade Menpes-Smith; Zhangming Niu; Guang Yang 006 (Frontiers Neuroinformatics, 2020)

Improved Age Estimation Mechanism from Medical Data Based on Deep Instance Weighting Fusion. - Yongming Li 003; Yuanlin Zheng; Pin Wang; Xinzheng Zhang 002; Xiaoping Zeng; Xinke Li (J. Medical Imaging Health Informatics, 2020)

Hybrid Deep Transfer Network and Rotational Sample Subspace Ensemble Learning for Early Cancer Detection. - Pin Wang; Shanshan Lv; Yongming Li 003; Qi Song; Linyu Li 003; Jiaxin Wang; Hehua Zhang (J. Medical Imaging Health Informatics, 2020)

Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection. - Xinzheng Zhang 002; Guo Liu; Ce Zhang 005; Peter M. Atkinson; Xiaoheng Tan; Xin Jian; Xichuan Zhou; Yongming Li 003 (Remote. Sens., 2020)

Hybrid Feature Embedded Sparse Stacked Autoencoder and Manifold Dimensionality Reduction Ensemble for Mental Health Speech Recognition. - Hong Chen; Yuan Lin; Yongming Li 003; Wei Wang; Pin Wang; Yan Lei (IEEE Access, 2021)

Embedded stacked group sparse autoencoder ensemble with L1 regularization and manifold reduction. - Yongming Li 003; Yan Lei; Pin Wang; Mingfeng Jiang; Yuchuan Liu (Appl. Soft Comput., 2021)

Local discriminant preservation projection embedded ensemble learning based dimensionality reduction of speech data of Parkinson's disease. - Yuchuan Liu; Yongming Li 003; Xiaoheng Tan; Pin Wang; Yanling Zhang (Biomed. Signal Process. Control., 2021)

Deep dual-side learning ensemble model for Parkinson speech recognition. - Jie Ma; Yuanfan Zhang; Yongming Li 003; Lang Zhou; Lingyun Qin; Yuwei Zeng; Pin Wang; Yan Lei (Biomed. Signal Process. Control., 2021)

Histopathological image classification based on cross-domain deep transferred feature fusion. - Pin Wang; Pufei Li; Yongming Li 003; Jiaxin Wang; Jin Xu (Biomed. Signal Process. Control., 2021)

Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing. - Pin Wang; Jiaxin Wang; Yongming Li 003; Pufei Li; Linyu Li 003; Mingfeng Jiang (Biomed. Signal Process. Control., 2021)

Few-shot learning of Parkinson's disease speech data with optimal convolution sparse kernel transfer learning. - Xiaoheng Zhang; Jie Ma; Yongming Li 003; Pin Wang; Yuchuan Liu (Biomed. Signal Process. Control., 2021)

FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution. - Mingfeng Jiang; Minghao Zhi; Liying Wei; Xiaocheng Yang; Jucheng Zhang; Yongming Li 003; Pin Wang; Jiahao Huang; Guang Yang 006 (Comput. Medical Imaging Graph., 2021)

Integrated Age Estimation Mechanism. - Fan Li; Yongming Li 003; Pin Wang; Jie Xiao; Fang Yan; Xinke Li (CoRR, 2021)

Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease. - Yongming Li 003; Chengyu Liu; Pin Wang; Hehua Zhang; Anhai Wei (CoRR, 2021)

Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy. - Fan Li; Xiaoheng Zhang; Pin Wang; Yongming Li 003 (CoRR, 2021)

Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data. - Yiwen Wang; Fan Li; Xiaoheng Zhang; Pin Wang; Yongming Li 003 (CoRR, 2021)

The application of plug-and-play ADMM framework and BM3D denoiser for compressed sensing MR image reconstruction. - Xiaojun Yuan; Mingfeng Jiang; Lingyan Zhu; Yang Li 097; Yongming Li 003; Pin Wang; Tie-Qiang Li (Int. J. Comput. Appl. Technol., 2021)

Hierarchical age estimation mechanism with adaBoost-based deep instance weighted fusion. - Yongming Li 003; Fan Li; Yuanlin Zheng; Pin Wang; Mingfeng Jiang; Xinke Li (J. Exp. Theor. Artif. Intell., 2021)

Insight into an unsupervised two-step sparse transfer learning algorithm for speech diagnosis of Parkinson's disease. - Yongming Li 003; Xinyue Zhang; Pin Wang; Xiaoheng Zhang; Yuchuan Liu (Neural Comput. Appl., 2021)

AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features. - Pan Huang 001; Xiaoheng Tan; Chen Chen 078; Xiaoyi Lv; Yongming Li 003 (Sensors, 2021)

Deep instance envelope network-based imbalance learning algorithm with multilayer fuzzy C-means clustering and minimum interlayer discrepancy. - Fan Li; Xiaoheng Zhang; Pin Wang; Yongming Li 003 (Appl. Soft Comput., 2022)

Classification of histopathological whole slide images based on multiple weighted semi-supervised domain adaptation. - Pin Wang; Pufei Li; Yongming Li 003; Jin Xu; Mingfeng Jiang (Biomed. Signal Process. Control., 2022)

A novel 3D lumbar vertebrae location and segmentation method based on the fusion envelope of 2D hybrid visual projection images. - Zhengyang Wu 002; Guifeng Xia; Xiaoheng Zhang; Fayuan Zhou; Jing Ling; Xin Ni; Yongming Li 003 (Comput. Biol. Medicine, 2022)

Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency. - Fan Li; Xiaoheng Zhang; Yongming Li 003; Pin Wang (CoRR, 2022)

A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model. - Chuanyan Zhou; Jie Ma; Fan Li; Yongming Li 003; Pin Wang; Xiaoheng Zhang (CoRR, 2022)

Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling. - Fan Li; Bo Wang; Pin Wang; Yongming Li 003 (CoRR, 2022)

Deep manifold feature fusion for classification of breast histopathology images. - Pin Wang; Pufei Li; Yongming Li 003; Jin Xu; Fang Yan; Mingfeng Jiang (Digit. Signal Process., 2022)

Code for Intra-subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Speech Data of Parkinson's Disease. - Yongming Li 003; Yiwen Wang; Fan Li; Xiaoheng Zhang; Ping Wang (IEEE DataPort, 2022)

Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model. - Likun Tang; Jie Ma; Yongming Li 003 (CoRR, 2023)

Manifold reconstructed semi-supervised domain adaptation for histopathology images classification. - Yongming Li 003; Jin Xu; Pin Wang; Pufei Li; Gongxin Yang; Rui Chen (Biomed. Signal Process. Control., 2023)

Envelope multi-type transformation ensemble algorithm of Parkinson speech samples. - Yongming Li 003; Chengyu Liu; Pin Wang; Hehua Zhang; Anhai Wei; Yanling Zhang (Appl. Intell., 2023)

An overlapping oriented imbalanced ensemble learning algorithm with weighted projection clustering grouping and consistent fuzzy sample transformation. - Fan Li; Bo Wang; Yinghua Shen; Pin Wang; Yongming Li 003 (Inf. Sci., 2023)

An imbalanced ensemble learning method based on dual clustering and stage-wise hybrid sampling. - Fan Li; Bo Wang; Pin Wang; Mingfeng Jiang; Yongming Li 003 (Appl. Intell., 2023)

Manifold neighboring envelope sample generation mechanism for imbalanced ensemble classification. - Yiwen Wang; Yongming Li 003; Yinghua Shen; Fan Li; Pin Wang (Inf. Sci., 2024)

PerCal: A Novel Permanent Calibration Method for Spinal Surgery Navigation. - Zhengyang Wu 002; Yucheng Shu; Jing Ling; Fayuan Zhou; Chen Zhao; Jia Li; Xin Ni; Xiaoji Luo; Wei Huang; Chao Zhang; Guifeng Xia; Weisheng Li 001; et al. (IEEE Trans. Instrum. Meas., 2024)

Deep sample clustering domain adaptation for breast histopathology image classification. - Pin Wang; Gongxin Yang; Yongming Li 003; Pufei Li; Yurou Guo; Rui Chen (Biomed. Signal Process. Control., 2024)

Intra-subject enveloped multilayer fuzzy sample compression for speech diagnosis of Parkinson's disease. - Yiwen Wang; Fan Li; Xiaoheng Zhang; Pin Wang; Yongming Li 003; Yanling Zhang (Medical Biol. Eng. Comput., 2024)

Neighboring Envelope Embedded Stacked Autoencoder for Deep Learning on Hierarchically Structured Samples. - Chuanyan Zhou; Jie Ma; Fan Li; Yongming Li 003; Pin Wang (IEEE Trans. Artif. Intell., 2024)

Deep Fuzzy Envelope Sample Generation Mechanism for Imbalanced Ensemble Classification. - Fan Li; Yongming Li 003; Yinghua Shen; Witold Pedrycz; Xiaoheng Zhang; Pin Wang; Pufei Li; Chuanyan Zhou; Huan Cheng (IEEE Trans. Fuzzy Syst., 2024)

Histopathology image classification based on semantic correlation clustering domain adaptation. - Pin Wang; Jinhua Zhang; Yongming Li 003; Yurou Guo; Pufei Li; Rui Chen (Artif. Intell. Medicine, 2025)

Joint hierarchical multi-granularity adaptive embedding discriminative learning for unsupervised domain adaptation. - Pufei Li; Pin Wang; Yongming Li 003; Yinghua Shen; Witold Pedrycz (Appl. Soft Comput., 2025)

Hierarchical manifold sample envelope transformation model for ensemble classification. - Jie Ma; Hong Chen; Yongming Li 003; Pin Wang; Chengyu Liu; Yinghua Shen; Witold Pedrycz; Wei Wang; Fan Li (Comput. Electr. Eng., 2025)

MP-FocalUNet: Multiscale parallel focal self-attention U-Net for medical image segmentation. - Chuan Wang; Mingfeng Jiang; Yang Li 097; Bo Wei 004; Yongming Li 003; Pin Wang; Guang Yang 006 (Comput. Methods Programs Biomed., 2025)

Stacked fuzzy envelope consistency imbalanced ensemble classification method. - Fan Li; Dan Wang 016; Yongming Li 003; Yinghua Shen; Witold Pedrycz; Pin Wang; Yiwen Wang; Wenli Zhang (Expert Syst. Appl., 2025)

Pyramid hierarchical envelope generation structure based collaborative semantic unsupervised domain adaptation. - Pufei Li; Pin Wang; Yongming Li 003; Yinghua Shen; Witold Pedrycz (Neurocomputing, 2025)

Envelope rotation forest: A novel ensemble learning method for classification. - Jie Ma; Huan Cheng; Hong Chen; Yi Zhang; Yongming Li 003; Yinghua Shen; Pin Wang; Wei Wang (Neurocomputing, 2025)

DILC-ESAE: Data-Info envelope stacked autoencoder on correlation among samples rather than themselves. - Jie Ma; Chuanyan Zhou; Zhixuan Fan; Yongming Li 003; Yinghua Shen; Witold Pedrycz; Pin Wang (Neural Networks, 2025)