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Zhewei Chen
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2020 – today
- 2024
- [j3]Shibing Zhou, Zhewei Chen, Rao Duan, Wei Song:
Multi-exemplar affinity propagation clustering based on local density peak. Appl. Intell. 54(3): 2915-2939 (2024) - [j2]Shibing Zhou, Rao Duan, Zhewei Chen, Wei Song:
Weighted ensemble clustering with multivariate randomness and random walk strategy. Appl. Soft Comput. 150: 111015 (2024) - 2023
- [i3]Zhewei Chen, Wai Keung Wong, Zuofeng Zhong, Jinpiao Liao, Ying Qu:
Effective Transfer of Pretrained Large Visual Model for Fabric Defect Segmentation via Specifc Knowledge Injection. CoRR abs/2306.16186 (2023) - 2022
- [i2]Zhewei Chen, Sami Ahmed Haider:
Edge Detection and Deep Learning Based SETI Signal Classification Method. CoRR abs/2203.15229 (2022) - 2021
- [c5]Zhewei Chen, Linyue Zhou, Wenwen Yu:
ADASYN-Random Forest Based Intrusion Detection Model. SPML 2021: 152-159 - [i1]Zhewei Chen, Linyue Zhou, Wenwen Yu:
ADASYN-Random Forest Based Intrusion Detection Model. CoRR abs/2105.04301 (2021)
2010 – 2019
- 2019
- [j1]Xu Zhang, Jie Liu, Shuyan Wang, Zhewei Chen, Bin Huang, Jilun Ye:
Lightweight cascade framework for optic disc segmentation. IET Image Process. 13(10): 1805-1810 (2019) - 2017
- [c4]Qiaoliang Li, Guangyao Yang, Zhewei Chen, Bin Huang, Liangliang Chen, Depeng Xu, Xueying Zhou, Shi Zhong, Huisheng Zhang, Tianfu Wang:
Colorectal polyp segmentation using a fully convolutional neural network. CISP-BMEI 2017: 1-5 - [c3]Qiaoliang Li, Shi Zhong, Zhewei Chen, Xueying Zhou, Guangyao Yang, Huisheng Zhang, Tianfu Wang:
A high-speed end-to-end approach for retinal arteriovenous segmentation. CISP-BMEI 2017: 1-5 - [c2]Qiaoliang Li, Jinliang Zhong, Shi Zhong, Zhewei Chen, Suwen Qi, Huisheng Zhang:
An self-focusing imaging method for leukocyte recognition. CISP-BMEI 2017: 1-5 - 2016
- [c1]Qiaoliang Li, Zhewei Chen, Ping Liang, Li Deng, Jinliang Zhong, Xinyu Liu, Suwen Qi, Huisheng Zhang, Tianfu Wang:
Multi-view face detector using a single cascade classifier. SKIMA 2016: 464-468
Coauthor Index
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last updated on 2024-04-25 05:52 CEST by the dblp team
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