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ORCIDKang Li 0009
Person information
- affiliation: Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, China
Other persons with the same name
- Kang Li — disambiguation page
- Kang Li 0001
![[0000-0002-9789-3233]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9789-3233")
— University of Georgia, Department of Computer Science, Athens, GA, USA - Kang Li 0002 — University of Leeds, School of Electronic and Electrical Engineering, UK (and 1 more)
- Kang Li 0003 — The State University of New York at Buffalo, Department of Computer Science and Engineering, NY, USA
- Kang Li 0004 — Sichuan University, West China Hospital, West China Biomedical Big Data Center, Chengdu, China (and 4 more)
- Kang Li 0005 — Northwest University, College of Information Science and Technology, Xi'an, China
- Kang Li 0007 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Institute of Medical Intelligence and XR, Hong Kong
- Kang Li 0008 — Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, China (and 1 more)
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Journal Articles
- 2025
[j5]Kang Li, Zhaozhao Zhang, Zhenhua Yu:
Modular stochastic configuration network with attention mechanism for soft measurement of water quality parameters in wastewater treatment processes. Inf. Sci. 689: 121476 (2025)- 2024
- [j4]Kang Li, Limin Zhang, Junfei Qiao:
Multi-task stochastic configuration network with autonomous linking and its application in wastewater treatment processes. Inf. Sci. 662: 120195 (2024) - [j3]Kang Li, Junfei Qiao, Dianhui Wang:
Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling. IEEE Trans. Fuzzy Syst. 32(3): 948-957 (2024) - [j2]Kang Li, Junfei Qiao, Dianhui Wang:
Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis. IEEE Trans. Ind. Informatics 20(3): 3222-3231 (2024) - 2023
- [j1]Kang Li, Cuili Yang, Wei Wang, Junfei Qiao:
An improved stochastic configuration network for concentration prediction in wastewater treatment process. Inf. Sci. 622: 148-160 (2023)
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