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Hongzhong Tang
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2020 – today
- 2025
- [j13]Mingjian Xie, Yiqun Geng, Weifeng Zhang, Shan Li, Yuejiao Dong, Yongjun Wu, Hongzhong Tang, Liangli Hong:
Multi-resolution consistency semi-supervised active learning framework for histopathology image classification. Expert Syst. Appl. 259: 125266 (2025) - 2024
- [j12]Zhigang Zhou, Dongbo Zhang, Jiang Zhu, Hongzhong Tang:
A Lightweight Operation Mode Decision Method for Cleaning Robots Driven by Garbage Attributes Perception. IEEE Access 12: 15308-15320 (2024) - 2023
- [j11]Li Zeng, Hongzhong Tang, Wei Wang, Mingjian Xie, Zhaoyang Ai, Lei Chen, Yongjun Wu:
MAMC-Net: an effective deep learning framework for whole-slide image tumor segmentation. Multim. Tools Appl. 82(25): 39349-39369 (2023) - 2022
- [j10]Lei Chen, Heding Zheng, Yuan Li, Zhaohua Liu, Lv Zhao, Hongzhong Tang:
Enhanced density peak-based community detection algorithm. J. Intell. Inf. Syst. 59(2): 263-284 (2022) - [j9]Panbo Fu, Dongbo Zhang, Feng Yin, Hongzhong Tang:
The multi-mode operation decision of cleaning robot based on curriculum learning strategy and feedback network. Neural Comput. Appl. 34(12): 9955-9966 (2022) - 2021
- [j8]Ting Liu, Hongzhong Tang, Dongbo Zhang, Shuying Zeng, Biao Luo, Zhaoyang Ai:
Feature-guided dictionary learning for patch-and-group sparse representations in single image deraining. Appl. Soft Comput. 113(Part): 107958 (2021) - [j7]Hongzhong Tang, Lizhen Mao, Shuying Zeng, Shijun Deng, Zhaoyang Ai:
Discriminative dictionary learning algorithm with pairwise local constraints for histopathological image classification. Medical Biol. Eng. Comput. 59(7-8): 153-164 (2021) - 2020
- [j6]Xiao Li, Hongzhong Tang, Dongbo Zhang, Ting Liu, Lizhen Mao, Tianyu Chen:
Histopathological image classification through discriminative feature learning and mutual information-based multi-channel joint sparse representation. J. Vis. Commun. Image Represent. 70: 102799 (2020)
2010 – 2019
- 2019
- [j5]Hongzhong Tang, Ling Zhu, Dongbo Zhang, Xiang Wang:
Single image rain removal model using pure rain dictionary learning. IET Image Process. 13(10): 1797-1804 (2019) - [j4]Dongbo Zhang, Lianglin Yi, Hongzhong Tang, Ying Zhang, Haixia Xu:
Multi-scale microstructure binary pattern extraction and learning for image representation. IET Image Process. 13(13): 2507-2515 (2019) - [j3]Dongbo Zhang, Honglei Chen, Feng Yin, Zhiqiang Chen, Hongzhong Tang, Haixia Xu:
Efficient and distinctive binary descriptor for rotated circular image recognition. Mach. Vis. Appl. 30(4): 749-761 (2019) - [j2]Hongzhong Tang, Xiao Li, Xiaogang Zhang, Dongbo Zhang, Lizhen Mao, Ting Liu:
Coherence-regularized discriminative dictionary learning for histopathological image classification. Signal Image Video Process. 13(5): 923-931 (2019) - 2018
- [j1]Hongzhong Tang, Xiao Li, Xiang Wang, Lizhen Mao, Ling Zhu:
Unsupervised feature learning via prior information-based similarity metric learning for face verification. IET Signal Process. 12(8): 966-974 (2018)
2000 – 2009
- 2008
- [c1]Weiwei Li, Huixian Huang, Chenhao Wang, Hongzhong Tang:
Synthetic Fault Diagnosis Method of Power Transformer Based on Rough Set Theory and Improved Artificial Immune Network Classification Algorithm. ICNC (6) 2008: 676-681
Coauthor Index
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