Zhang Zehui, Associate Researcher at Hangzhou Dianzi University, focuses on computer vision, fault diagnosis, and the application of artificial intelligence methods. In 2022, he obtained Ph.D. from the School of Software at Nankai University, during which he participated in CSC program at Nanyang Technological University, Singapore. His research achievements have been recognized with awards such as the Outstanding Paper of 2021 by China Ship Research. Over the past five years, he has published more than 20 papers in domestic and international journals and conferences, with 10 papers indexed by SCI as the first or corresponding author, such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Industrial Informatics, Energy Conversion and Management, and IEEE Internet of Things Journal. He also serves as a reviewer for several internationally renowned journals and has led or participated in various national and provincial-level projects, including the National Natural Science Foundation of China, the National Key Research and Development Program, the Hubei Provincial Natural Science Foundation, the Tianjin Municipal Natural Science Foundation, and the Zhejiang Provincial Natural Science Foundation.
[1]. Zhang Zehui, Ningxin He, Huo Weiwei, et al. Privacy preserving federated learning for proton exchange membrane fuel cell [J]. Renewable and Sustainable Energy Reviews,Volume 212, April 2025, 115407.https://doi.org/10.1016/j.rser.2025.115407
[2]. Zhang Zehui, Liu Hanfeng, Xu Xiaobin, et al. Structural deformation warning method for coal mine roadway surrounding rock based on evidential reasoning[J]. IEEE Transactions on Instrumentation and Measurement, 08 April 2025, 3527112. 10.1109/TIM.2025.3553893
[3]. Xu Xiaobin, Wang Xiaochuang, Wu Fuling, Zhang Zehui*, et al. ERMOT: Evidence Reasoning-Based Robust Multiple Object Tracking Method[J]. IEEE Transactions on Industrial Informatics, 2024.
[4]. Zhang Zehui, Dong Tianhang, Xu Xiaobin, et al. Multi‐step performance degradation prediction method for proton‐exchange membrane fuel cell stack using 1D convolution layer and CatBoost[J]. International Journal of Adaptive Control and Signal Processing.
[5]. Zhang Zehui, He Ningxin, Li Qingdan, et al. DetectPMFL: Privacy-preserving momentum federated learning considering unreliable industrial agents[J]. IEEE transactions on industrial informatics, 2022, 18(11): 7696-7706.
[7]. Zhang Zehui, He Ningxin, Li Dongyu, et al. Federated transfer learning for disaster classification in social computing networks[J]. Journal of safety science and resilience, 2022, 3(1): 15-23.
[8]. Zhang Zehui, Guan Cong, Chen Hui, et al. Adaptive privacy-preserving federated learning for fault diagnosis in internet of ships[J]. IEEE internet of things journal, 2021, 9(9): 6844-6854.
[9]. Zhang Zuhui, Xu Xiaobin, Gong Wenfeng, et al. Efficient federated convolutional neural network with information fusion for rolling bearing fault diagnosis[J]. Control Engineering Practice, 2021, 116: 104913.
[11].Zuo Bin, Zhang Zehui*, Cheng Junsheng, et al. Data-driven flooding fault diagnosis method for proton-exchange membrane fuel cells using deep learning technologies[J]. Energy Conversion and Management, 2022, 251: 115004.
[12].Zuo Bin, Cheng Junsheng, Zhang Zehui*. Degradation prediction model for proton exchange membrane fuel cells based on long short-term memory neural network and Savitzky-Golay filter[J]. International Journal of Hydrogen Energy, 2021, 46(29): 15928-15937.
[13].Huo Weiwei, Li Weier, Zhang Zehui*, et al. Performance prediction of proton-exchange membrane fuel cell based on convolutional neural network and random forest feature selection[J]. Energy Conversion and Management, 2021, 243: 114367.
[14].Zhang Xuelin, Xu Xiaobin, Li Jianning; ZhangZehui, Zhang Zhenjie. Georg Brunauer, Observer-Based Fuzzy Adaptive Fault-Tolerant Control for NSC System of USV With Sideslip Angle and Steering Machine Fault, IEEE transactions on intelligent vehicles, 2024, 9(1): 372-382..