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Zhenghua Zhou
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2020 – today
- 2024
- [j24]Jianwei Zhao, Zhongfan Sun, Zhenghua Zhou, Tingwei Wang, Dabao Zhang, Jian Yang:
An interpretable lightweight deep network with ℓp(0p1) model-driven for single image super-resolution. Neurocomputing 580: 127521 (2024) - [j23]Zhenghua Zhou, Boxiang Xue, Hai Wang
, Jianwei Zhao:
Bidirectional Multi-scale Deformable Attention for Video Super-Resolution. Multim. Tools Appl. 83(9): 27809-27830 (2024) - 2022
- [j22]Jianwei Zhao
Spatial and long-short temporal attention correlation filters for visual tracking. IET Image Process. 16(11): 3011-3024 (2022) - [j21]Jianwei Zhao, Chenyun Fang, Zhenghua Zhou:
Enhanced image super-resolution using hierarchical generative adversarial network. Int. J. Comput. Sci. Math. 15(3): 243-257 (2022) - 2021
- [j20]Jianwei Zhao
Learning adaptive spatial-temporal regularized correlation filters for visual tracking. IET Image Process. 15(8): 1773-1785 (2021) - [j19]Zhongfan Sun, Jianwei Zhao
L1 model-driven recursive multi-scale denoising network for image super-resolution. Knowl. Based Syst. 225: 107115 (2021) - [c6]Xichuan Zhou, Zhenghua Zhou, Zhengqing Zhong, Jianyi Yu, Tengxiao Wang, Min Tian, Ying Jiang, Cong Shi:
A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition. ISCAS 2021: 1-5 - 2020
- [j18]Jianwei Zhao, YinXia Lu, Zhenghua Zhou:
Correlation filters based on temporal regularization and background awareness, . Comput. Electr. Eng. 86: 106757 (2020) - [j17]Jianwei Zhao, Taoye Huang, Zhenghua Zhou, Feilong Cao
A Compact Recursive Dense Convolutional Network for image classification. Neurocomputing 372: 8-16 (2020) - [j16]Jianwei Zhao, Ningning Chen, Zhenghua Zhou:
A temporal sparse collaborative appearance model for visual tracking. Multim. Tools Appl. 79(19-20): 14103-14125 (2020) - [j15]Zhenghua Zhou
Robust surface reconstruction from highly noisy point clouds using distributed elastic networks. Neural Comput. Appl. 32(18): 14459-14470 (2020) - [j14]Jianwei Zhao
Hyperspectral image super-resolution using recursive densely convolutional neural network with spatial constraint strategy. Neural Comput. Appl. 32(18): 14471-14481 (2020)
2010 – 2019
- 2019
- [j13]Jianwei Zhao, Chen Chen, Zhenghua Zhou, Feilong Cao
Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks. J. Vis. Commun. Image Represent. 58: 651-661 (2019) - [j12]Zhenghua Zhou, Weidong Zhang, Jianwei Zhao:
Robust visual tracking using discriminative sparse collaborative map. Int. J. Mach. Learn. Cybern. 10(11): 3201-3212 (2019) - 2017
- [j11]Jianwei Zhao, Heping Hu, Zhenghua Zhou, Feilong Cao:
Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary. IET Image Process. 11(12): 1254-1264 (2017) - [j10]Jianwei Zhao, Minshu Zhang, Zhenghua Zhou, Jianjun Chu, Feilong Cao:
Automatic detection and classification of leukocytes using convolutional neural networks. Medical Biol. Eng. Comput. 55(8): 1287-1301 (2017) - [j9]Feilong Cao, MiaoMiao Cai, Jianjun Chu, Jianwei Zhao, Zhenghua Zhou:
A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation. Neural Comput. Appl. 28(S-1): 503-511 (2017) - [j8]Feilong Cao
Recovering low-rank and sparse matrix based on the truncated nuclear norm. Neural Networks 85: 10-20 (2017) - [j7]Jianwei Zhao, Yongbiao Lv, Zhenghua Zhou, Feilong Cao
A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network. Neural Networks 94: 115-124 (2017) - 2016
- [j6]Feilong Cao
Pose and illumination variable face recognition via sparse representation and illumination dictionary. Knowl. Based Syst. 107: 117-128 (2016) - 2015
- [j5]Wanggen Wan, Zhenghua Zhou, Jianwei Zhao, Feilong Cao
A novel face recognition method: Using random weight networks and quasi-singular value decomposition. Neurocomputing 151: 1180-1186 (2015) - [c5]Feilong Cao, Jing Lu, Jianjun Chu, Zhenghua Zhou, Jianwei Zhao, Guoqiang Chen:
Leukocyte image segmentation using feed forward neural networks with random weights. ICNC 2015: 736-742 - 2014
- [j4]Zhenghua Zhou, Jianwei Zhao, Feilong Cao:
Diagnosis of fatigue crack growth with recursive random weight networks. Comput. Electr. Eng. 40(7): 2227-2235 (2014) - [j3]Zhenghua Zhou, Jianwei Zhao, Feilong Cao:
A novel approach for fault diagnosis of induction motor with invariant character vectors. Inf. Sci. 281: 496-506 (2014) - [j2]Jianwei Zhao, Zhenghua Zhou, Feilong Cao:
Human face recognition based on ensemble of polyharmonic extreme learning machine. Neural Comput. Appl. 24(6): 1317-1326 (2014) - 2013
- [c4]Zhenghua Zhou, Jianwei Zhao, Feilong Cao:
Face Recognition Based on Random Weights Network and Quasi Singular Value Decomposition. ICIC (3) 2013: 136-141 - 2011
- [c3]Zhenghua Zhou, Jianwei Zhao:
Approximation of Curves Contained on the Surface by Freed-Forward Neural Networks. AICI (3) 2011: 286-292 - 2010
- [j1]Zhenghua Zhou, Zhi Hu, Maozhi Xu, Wangan Song:
Efficient 3-dimensional GLV method for faster point multiplication on some GLS elliptic curves. Inf. Process. Lett. 110(22): 1003-1006 (2010) - [c2]Zhi Hu, Maozhi Xu, Zhenghua Zhou:
A Generalization of Verheul's Theorem for Some Ordinary Curves. Inscrypt 2010: 105-114 - [c1]Zhenghua Zhou, Wanggen Wan, Xueli Zhou:
Approximation of continuous functions defined on a curve by feed-forward neural networks. ICNC 2010: 1573-1576
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