A Generalization of Verheul's Theorem for Some Ordinary Curves. - Zhi Hu; Maozhi Xu; Zhenghua Zhou (Inscrypt, 2010)

Approximation of continuous functions defined on a curve by feed-forward neural networks. - Zhenghua Zhou; Wanggen Wan; Xueli Zhou (ICNC, 2010)

Efficient 3-dimensional GLV method for faster point multiplication on some GLS elliptic curves. - Zhenghua Zhou; Zhi Hu; Maozhi Xu; Wangan Song (Inf. Process. Lett., 2010)

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

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

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

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

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)

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)

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)

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)

Robust surface reconstruction from highly noisy point clouds using distributed elastic networks. - Zhenghua Zhou (Neural Comput. Appl., 2020)

A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition. - Xichuan Zhou; Zhenghua Zhou; Zhengqing Zhong; Jianyi Yu; Tengxiao Wang; Min Tian; Ying Jiang; Cong Shi 003 (ISCAS, 2021)

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)

An interpretable lightweight deep network with ℓp(0p1) model-driven for single image super-resolution. - Jianwei Zhao; Zhongfan Sun; Zhenghua Zhou; Tingwei Wang; Dabao Zhang; Jian Yang (Neurocomputing, 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)