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ORCIDKun Zhu 0008
Person information
- affiliation: Zhejiang University of Finance and Economics, School of Information, Hangzhou, China
Other persons with the same name
- Kun Zhu 0001
![[0000-0001-6784-5583]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6784-5583")
— Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China (and 2 more) - Kun Zhu 0002 — ABB company, Mäster Ahls Gata, Västerås, Sweden (and 1 more)
- Kun Zhu 0003 — Wuhan University, LIEMARS, China
- Kun Zhu 0004 — Chengdu Neusoft University, Department of Information and Software Engineering, China
- Kun Zhu 0005 — Fudan University, Department of Computing and Information Technology, Shanghai, China
- Kun Zhu 0006 — Tianjin University of Technology, Tianjin Key Lab. of Intelligent Computing and Novel Software Technology, China
- Kun Zhu 0007 — Nanchang University, College of Information Engineering, China
- Kun Zhu 0009 — Guizhou University, College of Computer Science and Technology, Guiyang, China
- Kun Zhu 0010 — Huawei Technologies Co., Ltd., Communication Technology Lab., Shenzhen, China
- Kun Zhu 0012 — Aarhus University, Department of Engineering, Denmark
- Kun Zhu 0013 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Kun Zhu 0014 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Wuhan, China
- Kun Zhu 0015 — Fujian Normal University, School of Mathematics and Informatics, Fuzhou, China (and 1 more)
- Kun Zhu 0016 — Tianjin University, School of Mechanical Engineering, MOE Key Laboratory of Mechanism Theory and Equipment Design, China
- Kun Zhu 0017 — Xidian University, School of Telecommunications Engineering, Xi'an, China
- Kun Zhu 0018 — Aero Engine Corporation of China, Beijing, China
- Kun Zhu 0019 — Chinese Academy of Agricultural Sciences, Beijing, China (and 1 more)
- Kun Zhu 0020 — Changchun Institute of Technology, China
- Kun Zhu 0021 — Hong Kong Polytechnic University, Hong Kong (and 1 more)
- Kun Zhu 0022 — China Coal Technology & Engineering Group, Beijing, China
- Kun Zhu 0023 — Nankai University, School of Mathematical Sciences, Tianjin, China
- Kun Zhu 0024 — Wuhan University, School of Computer Science, Wuhan, China
- Kun Zhu 0025 — Harbin Institute of Technology, China
- Kun Zhu 0026 — Information Engineering University, Zhengzhou, China
- Kun Zhu 0027 — Zhejiang University School of Medicine, Hangzhou, China
- Kun Zhu 0028 — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- Kun Zhu 0029 — Beijing Safety Test Technology Co., Ltd, China
- Kun Zhu 0030 — Anhui Medical University, First Affiliated Hospital, Department of Orthopedics, Hefei, China
- Kun Zhu 0031 — Liupanshui Normal University, School of Physics and Electrical Engineering, China
- Kun Zhu 0032 — Soochow University, Suzhou, China
- Kun Zhu 0033 — Jilin Province Economics and Management Cadres College, School of Culture and Tourism, Changchun, China
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Journal Articles
- 2023
[j7]Kun Zhu, Chunhui Zhao:
Dynamic Graph-Based Adaptive Learning for Online Industrial Soft Sensor With Mutable Spatial Coupling Relations. IEEE Trans. Ind. Electron. 70(9): 9614-9622 (2023)- [j6]Shuai Zhang, Kun Zhu, Wenyu Zhang:
Multivariate Correlation Matrix-Based Deep Learning Model With Enhanced Heuristic Optimization for Short-Term Traffic Forecasting. IEEE Trans. Knowl. Data Eng. 35(3): 2847-2858 (2023) - 2022
- [j5]Kun Zhu, Shuai Zhang, Jiusheng Li, Di Zhou, Hua Dai, Zeqian Hu:
Spatiotemporal multi-graph convolutional networks with synthetic data for traffic volume forecasting. Expert Syst. Appl. 187: 115992 (2022) - [j4]Wenyu Zhang, Kun Zhu, Shuai Zhang, Qian Chen, Jiyuan Xu:
Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting. Knowl. Based Syst. 250: 109028 (2022) - 2021
- [j3]Qian Chen, Wenyu Zhang, Kun Zhu, Di Zhou, Hua Dai, Quanquan Wu:
A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting. Expert Syst. Appl. 182: 115272 (2021) - [j2]Kun Zhu, Shuai Zhang, Wenyu Zhang, Zhiqiang Zhang:
A novel hybrid deep learning model for taxi demand forecasting based on decomposition of time series and fusion of text data. J. Intell. Fuzzy Syst. 41(2): 3355-3371 (2021) - 2019
- [j1]Leibao Zhang, Qi Qian, Shuai Zhang, Wenyu Zhang, Kun Zhu:
A New Journal Ranking Method: The Reputation Analysis of Citation Behavior Model. IEEE Access 7: 19382-19394 (2019)
Coauthor Index
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