Neural networks for interpolation of functionals on a Hilbert space. - Jianwei Zhao 004; Feilong Cao (ICNC, 2010)

Approximation of Curves Contained on the Surface by Freed-Forward Neural Networks. - Zhenghua Zhou; Jianwei Zhao 004 (AICI (3), 2011)

Learning rates of support vector machine classifier for density level detection. - Feilong Cao; Xing Xing; Jianwei Zhao 004 (Neurocomputing, 2012)

Online sequential extreme learning machine with forgetting mechanism. - Jianwei Zhao 004; Zhihui Wang 003; Dong Sun Park (Neurocomputing, 2012)

Generalized extreme learning machine acting on a metric space. - Jianwei Zhao 004; Dong Sun Park; Joonwhoan Lee; Feilong Cao (Soft Comput., 2012)

Face Recognition Based on Random Weights Network and Quasi Singular Value Decomposition. - Zhenghua Zhou; Jianwei Zhao 004; Feilong Cao (ICIC (3), 2013)

Fast Image Classification Algorithms Based on Random Weights Networks. - Feilong Cao; Jianwei Zhao 004; Bo Liu (ISNN (1), 2013)

A Reduction Algorithm for the Big Data in 3D Surface Reconstruction. - Jianwei Zhao 004; Yanqing Fu; Yuanpeng Tan; Feilong Cao (SMC, 2013)

Diagnosis of fatigue crack growth with recursive random weight networks. - Zhenghua Zhou; Jianwei Zhao 004; Feilong Cao (Comput. Electr. Eng., 2014)

Extended feed forward neural networks with random weights for face recognition. - Jing Lu; Jianwei Zhao 004; Feilong Cao (Neurocomputing, 2014)

A novel approach for fault diagnosis of induction motor with invariant character vectors. - Zhenghua Zhou; Jianwei Zhao 004; Feilong Cao (Inf. Sci., 2014)

Human face recognition based on ensemble of polyharmonic extreme learning machine. - Jianwei Zhao 004; Zhenghua Zhou; Feilong Cao (Neural Comput. Appl., 2014)

Extreme learning machine with errors in variables. - Jianwei Zhao 004; Zhihui Wang 003; Feilong Cao (World Wide Web, 2014)

Leukocyte image segmentation using feed forward neural networks with random weights. - Feilong Cao; Jing Lu; Jianjun Chu; Zhenghua Zhou; Jianwei Zhao 004; Guoqiang Chen (ICNC, 2015)

A novel algorithm of extended neural networks for image recognition. - Kankan Dai; Jianwei Zhao 004; Feilong Cao (Eng. Appl. Artif. Intell., 2015)

A novel face recognition method: Using random weight networks and quasi-singular value decomposition. - Wanggen Wan; Zhenghua Zhou; Jianwei Zhao 004; Feilong Cao (Neurocomputing, 2015)

A novel decorrelated neural network ensemble algorithm for face recognition. - Kankan Dai; Jianwei Zhao 004; Feilong Cao (Knowl. Based Syst., 2015)

A local learning algorithm for random weights networks. - Jianwei Zhao 004; Zhihui Wang 003; Feilong Cao; Dianhui Wang (Knowl. Based Syst., 2015)

Pose and illumination variable face recognition via sparse representation and illumination dictionary. - Feilong Cao; Heping Hu; Jing Lu; Jianwei Zhao 004; Zhenghua Zhou; Jiao Wu (Knowl. Based Syst., 2016)

Image Super-Resolution via Adaptive ℓp (0<p<1) Regularization and Sparse Representation. - Feilong Cao; MiaoMiao Cai; Yuanpeng Tan; Jianwei Zhao 004 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary. - Jianwei Zhao 004; Heping Hu; Zhenghua Zhou; Feilong Cao (IET Image Process., 2017)

Sparse representation for robust face recognition by dictionary decomposition. - Feilong Cao; Xinshan Feng; Jianwei Zhao 004 (J. Vis. Commun. Image Represent., 2017)

Image super-resolution via adaptive sparse representation. - Jianwei Zhao 004; Heping Hu; Feilong Cao (Knowl. Based Syst., 2017)

Automatic detection and classification of leukocytes using convolutional neural networks. - Jianwei Zhao 004; Minshu Zhang; Zhenghua Zhou; Jianjun Chu; Feilong Cao (Medical Biol. Eng. Comput., 2017)

A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation. - Feilong Cao; MiaoMiao Cai; Jianjun Chu; Jianwei Zhao 004; Zhenghua Zhou (Neural Comput. Appl., 2017)

Recovering low-rank and sparse matrix based on the truncated nuclear norm. - Feilong Cao; Jiaying Chen; Hailiang Ye; Jianwei Zhao 004; Zhenghua Zhou (Neural Networks, 2017)

A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network. - Jianwei Zhao 004; Yongbiao Lv; Zhenghua Zhou; Feilong Cao (Neural Networks, 2017)

Segmentation of White Blood Cells Image Using Adaptive Location and Iteration. - Yuehua Liu; Feilong Cao; Jianwei Zhao 004; Jianjun Chu (IEEE J. Biomed. Health Informatics, 2017)

Image super-resolution via adaptive sparse representation and self-learning. - Jianwei Zhao 004; Tiantian Sun; Feilong Cao (IET Comput. Vis., 2018)

Robust object tracking using a sparse coadjutant observation model. - Jianwei Zhao 004; Weidong Zhang; Feilong Cao (Multim. Tools Appl., 2018)

Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks. - Jianwei Zhao 004; Chen Chen; Zhenghua Zhou; Feilong Cao (J. Vis. Commun. Image Represent., 2019)

Robust visual tracking using discriminative sparse collaborative map. - Zhenghua Zhou; Weidong Zhang; Jianwei Zhao 004 (Int. J. Mach. Learn. Cybern., 2019)

Effective segmentations in white blood cell images using ϵ -SVR-based detection method. - Feilong Cao; Yuehua Liu; Zhen Huang; Jianjun Chu; Jianwei Zhao 004 (Neural Comput. Appl., 2019)

Correlation filters based on temporal regularization and background awareness, . - Jianwei Zhao 004; YinXia Lu; Zhenghua Zhou (Comput. Electr. Eng., 2020)

A Compact Recursive Dense Convolutional Network for image classification. - Jianwei Zhao 004; Taoye Huang; Zhenghua Zhou; Feilong Cao (Neurocomputing, 2020)

A temporal sparse collaborative appearance model for visual tracking. - Jianwei Zhao 004; Ningning Chen; Zhenghua Zhou (Multim. Tools Appl., 2020)

Hyperspectral image super-resolution using recursive densely convolutional neural network with spatial constraint strategy. - Jianwei Zhao 004; Taoye Huang; Zhenghua Zhou (Neural Comput. Appl., 2020)

Learning adaptive spatial-temporal regularized correlation filters for visual tracking. - Jianwei Zhao 004; Yangxiao Li; Zhenghua Zhou (IET Image Process., 2021)

L1 model-driven recursive multi-scale denoising network for image super-resolution. - Zhongfan Sun; Jianwei Zhao 004; Zhenghua Zhou; Qingqing Gao (Knowl. Based Syst., 2021)

Spatial and long-short temporal attention correlation filters for visual tracking. - Jianwei Zhao 004; Fuyuan Wei; Ningning Chen; Zhenghua Zhou (IET Image Process., 2022)

Enhanced image super-resolution using hierarchical generative adversarial network. - Jianwei Zhao 004; Chenyun Fang; Zhenghua Zhou (Int. J. Comput. Sci. Math., 2022)

HyNCF: A hybrid normalization strategy via feature statistics for collaborative filtering. - Jianan Xu; Jiajin Huang; Jianwei Zhao 004; Jian Yang 016 (Expert Syst. Appl., 2024)

Bidirectional Multi-scale Deformable Attention for Video Super-Resolution. - Zhenghua Zhou; Boxiang Xue; Hai Wang 004; Jianwei Zhao 004 (Multim. Tools Appl., 2024)

A Lightweight 3D Distillation Volumetric Transformer for 3D MRI Super-Resolution. - Jianwei Zhao 004; Tao Hong; Hao Qi; Zhenghua Zhou; Hai Wang 004 (IEEE J. Biomed. Health Informatics, 2025)