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Kai Huang 0009
Person information
- affiliation: Jimei University, College of Computer Engineering, Xiamen, China
- affiliation: Tongji University, College of Electronic and Information Engineering, Shanghai, China
Other persons with the same name
- Kai Huang — disambiguation page
- Kai Huang 0001 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 3 more)
- Kai Huang 0002 — Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China
- Kai Huang 0003 — McMaster University, DeGroote School of Business, Hamilton, ON, Canada
- Kai Huang 0004 — Southeast University, Nanjing, China
- Kai Huang 0005 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China (and 1 more)
- Kai Huang 0006 — Nanjing Agricultural University, National Engineering and Technology Center for Information Agriculture, China (and 1 more)
- Kai Huang 0007 — University of Pittsburgh, PA, USA
- Kai Huang 0008 — Xiangya Hospital, Changsha, China (and 2 more)
- Kai Huang 0010 — Tongji University, School of Surveying and Geo-Informatics, Shanghai, China
- Kai Huang 0011 — Macau University of Science and Technology, Macau, SAR, China
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2020 – today
- 2024
- [j5]Jian Mao, Kai Huang, Jinming Liu:
MLAWSMOTE: Oversampling in Imbalanced Multi-label Classification with Missing Labels by Learning Label Correlation Matrix. Int. J. Comput. Intell. Syst. 17(1): 205 (2024) - [j4]Xingye You, Jian Mao, Jingming Liu, Kai Huang:
Denoising low SNR electromagnetic conducted emissions using an improved DnCNN based mode. J. Intell. Fuzzy Syst. 46(2): 5249-5261 (2024) - [j3]Kai Huang, Chen Chen:
Subgraph generation applied in GraphSAGE deal with imbalanced node classification. Soft Comput. 28(17-18): 10727-10740 (2024) - 2023
- [j2]Kai Huang, Xiaoguo Wang:
CCR-GSVM: A boundary data generation algorithm for support vector machine in imbalanced majority noise problem. Appl. Intell. 53(1): 1192-1204 (2023) - [c1]Chen Chen, Haidong Shao, Zhongwei Xu, Kai Huang, Qiaochuan Chen, Meng Mei:
A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine. I2MTC 2023: 1-6 - 2022
- [j1]Kai Huang, Xiaoguo Wang:
ADA-INCVAE: Improved data generation using variational autoencoder for imbalanced classification. Appl. Intell. 52(3): 2838-2853 (2022)
Coauthor Index
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