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ORCIDHe Zhao 0013
Person information
- affiliation: Northeastern University, College of Information Science and Engineering, Shenyang, China
Other persons with the same name
- He Zhao — disambiguation page
- He Zhao 0001
![[0000-0003-0894-2265]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0894-2265")
(aka: Ethan Zhao 0001) — Monash University, Faculty of Information Technology, Melbourne, Australia - He Zhao 0002 — Beijing Institute of Technology, Beijing, China (and 1 more)
- He Zhao 0003 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- He Zhao 0004 — York University, Department of Electrical Engineering and Computer Science, Toronto, Canada
- He Zhao 0005 — China National Institute of Standardization, Beijing, China
- He Zhao 0006 — Peking University, School of EECS, Key Laboratory of Machine Perception, Beijing, China
- He Zhao 0007 — University of Waterloo, Department of Geography and Environmental Management, Waterloo, Canada
- He Zhao 0008 — Nanjing University, School of Electronic Science and Engineering, Nanjing, China
- He Zhao 0009 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- He Zhao 0010 — Jilin Agricultural Science and Technology University, Jilin, China
- He Zhao 0011 — Chinese Academy of Sciences, Hefei Institutes of Physical Science, Hefei, China
- He Zhao 0012 — MathWorks, Inc., Natick, MA, USA (and 1 more)
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2020 – today
- 2024
[j3]Jinhai Liu, He Zhao, Zhaolin Chen, Qiannan Wang, Xiangkai Shen, Huaguang Zhang:
A Dynamic Weights-Based Wavelet Attention Neural Network for Defect Detection. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16211-16221 (2024)- 2023
- [j2]Xiangkai Shen, Jinhai Liu, Jiayue Sun, Lin Jiang, He Zhao, Huaguang Zhang:
SSCT-Net: A Semisupervised Circular Teacher Network for Defect Detection With Limited Labeled Multiview MFL Samples. IEEE Trans. Ind. Informatics 19(10): 10114-10124 (2023) - [j1]He Zhao, Jinhai Liu, Jianhua Tang, Xiangkai Shen, Senxiang Lu, Qiannan Wang:
A MFL Mechanism-Based Self-Supervised Method for Defect Detection With Limited Labeled Samples. IEEE Trans. Instrum. Meas. 72: 1-10 (2023)
Coauthor Index
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