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ORCIDMiaohua Zhang
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2020 – today
- 2024
[j11]Abdullah Al Mamun
, David Ahmedt-Aristizabal, Miaohua Zhang, Md Ismail Hossen, Zeeshan Hayder, Mohammad Awrangjeb:
Plant Disease Detection Using Self-Supervised Learning: A Systematic Review. IEEE Access 12: 171926-171943 (2024)- [j10]Zicheng Pan, Weichuan Zhang, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao:
Pseudo-set Frequency Refinement architecture for fine-grained few-shot class-incremental learning. Pattern Recognit. 155: 110686 (2024) - 2023
- [c8]Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao:
SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning. WACV 2023: 6264-6273 - 2022
- [j9]Pengliang Li, Junli Liang, Miaohua Zhang, Wen Fan, Guoyang Yu:
Joint image denoising with gradient direction and edge-preserving regularization. Pattern Recognit. 125: 108506 (2022) - [c7]Miaohua Zhang, Yongsheng Gao, Jun Zhou:
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. ICASSP 2022: 1910-1914 - 2021
- [j8]Miaohua Zhang, Yongsheng Gao, Jun Zhou:
A unified weight learning and low-rank regression model for robust complex error modeling. Pattern Recognit. 120: 108147 (2021) - [j7]Pengliang Li, Junli Liang, Miaohua Zhang:
A degradation model for simultaneous brightness and sharpness enhancement of low-light image. Signal Process. 189: 108298 (2021) - [j6]Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy. IEEE Trans. Image Process. 30: 150-162 (2021) - [c6]Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao:
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. DICTA 2021: 1-8 - [c5]Yajie Sun, Miaohua Zhang, Xiaohan Yu, Yi Liao, Yongsheng Gao:
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. DICTA 2021: 1-8 - [i6]Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao:
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. CoRR abs/2109.07755 (2021) - [i5]Yajie Sun, Miaohua Zhang, Xiaohan Yu, Yi Liao, Yongsheng Gao:
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. CoRR abs/2109.12380 (2021) - 2020
- [j5]Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
A robust matching pursuit algorithm using information theoretic learning. Pattern Recognit. 107: 107415 (2020) - [i4]Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
A Robust Matching Pursuit Algorithm Using Information Theoretic Learning. CoRR abs/2005.04541 (2020) - [i3]Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy. CoRR abs/2005.04605 (2020) - [i2]Miaohua Zhang, Yongsheng Gao, Fanhua Shang:
A Unified Weight Learning and Low-Rank Regression Model for Robust Face Recognition. CoRR abs/2005.04619 (2020) - [i1]Miaohua Zhang, Yongsheng Gao:
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. CoRR abs/2005.04671 (2020)
2010 – 2019
- 2019
- [c4]Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
Robust Sparse Learning Based on Kernel Non-Second Order Minimization. ICIP 2019: 2045-2049 - [c3]Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
Kernel Mean P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition. ICIP 2019: 3432-3436 - 2018
- [c2]Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
Matching Pursuit Based on Kernel Non-Second Order Minimization. ICIP 2018: 3858-3862 - 2016
- [c1]Miaohua Zhang, Yongsheng Gao, Changming Sun, John La Salle, Junli Liang:
Robust tensor factorization using maximum correntropy criterion. ICPR 2016: 4184-4189 - 2015
- [j4]Junli Liang, Miaohua Zhang, Ding Liu, Wenyi Wang:
Shape Fitting for the Shape Control System of Silicon Single Crystal Growth. IEEE Trans. Ind. Informatics 11(2): 363-374 (2015) - 2014
- [j3]Junli Liang, Miaohua Zhang, Xianju Zeng, Guoyang Yu:
Distributed Dictionary Learning for Sparse Representation in Sensor Networks. IEEE Trans. Image Process. 23(6): 2528-2541 (2014) - 2013
- [j2]Junli Liang, Miaohua Zhang, Xianju Zeng, Kexin Zhao, Jian Li:
Circle Fitting Using a Virtual Source Localization Algorithm in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013) - [j1]Junli Liang, Miaohua Zhang, Ding Liu, Xianju Zeng, Ode Ojowu, Kexin Zhao, Zhan Li, Han Liu:
Robust Ellipse Fitting Based on Sparse Combination of Data Points. IEEE Trans. Image Process. 22(6): 2207-2218 (2013)
Coauthor Index
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