Rongzhen Zhao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Network

Rotating Machinery

Fault Diagnosis

Top Venues

Neural Networks

Publications

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
Grouped Discrete Representation Guides Object-Centric Learning. CoRR (2024)
Pengfei Chen, Rongzhen Zhao, Tianjing He, Kongyuan Wei, Jianhui Yuan
Unsupervised structure subdomain adaptation based the Contrastive Cluster Center for bearing fault diagnosis. Eng. Appl. Artif. Intell. 122 (2023)
Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang
Learnable Heterogeneous Convolution: Learning both topology and strength. CoRR (2023)
Pengfei Chen, Rongzhen Zhao, Tianjing He, Kongyuan Wei, Jianhui Yuan
A novel bearing fault diagnosis method based joint attention adversarial domain adaptation. Reliab. Eng. Syst. Saf. 237 (2023)
Rongzhen Zhao, Jian Li, Zhenzhi Wu
Convolution of Convolution: Let Kernels Spatially Collaborate. CVPR (2022)
Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, Rongzhen Zhao, Guangshe Zhao, Guoqi Li
Modeling learnable electrical synapse for high precision spatio-temporal recognition. Neural Networks 149 (2022)
Ziyang Xing, Rongzhen Zhao, Yaochun Wu, Tianjing He
Intelligent fault diagnosis of rolling bearing based on novel CNN model considering data imbalance. Appl. Intell. 52 (14) (2022)
Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang
Learnable Heterogeneous Convolution: Learning both topology and strength. Neural Networks 141 (2021)
Yaochun Wu, Rongzhen Zhao, Wuyin Jin, Tianjing He, Sencai Ma, Mingkuan Shi
Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network. Appl. Intell. 51 (4) (2021)
Feng Miao, Rongzhen Zhao, Xianli Wang, Leilei Jia
A New Fault Feature Extraction Method for Rotating Machinery Based on Multiple Sensors. Sensors 20 (6) (2020)
Rongzhen Zhao, Litian Wang, Xingzhe Zhang, Yu Zhang, Lizhi Wang, Hongzhao Peng
A OneM2M-Compliant Stacked Middleware Promoting IoT Research and Development. IEEE Access 6 (2018)
Xiaoli Zhao, Rongzhen Zhao
A method to integrate KSSOMFA and WKNN together on faults identification of rotating machinery. URAI (2016)
Rongzhen Zhao, Kunju Shi, Zhaohui Li, Tao Zhang
F-LLE algorithm and its application in fault feature extraction. URAI (2013)
Linfeng Deng, Rongzhen Zhao
An intelligent pattern recognition method for machine fault diagnosis. URAI (2013)
Rongzhen Zhao, Linfeng Deng, Zhaohui Li
A framework to develop intelligent information system for rotating machinery in a data-driven way. URAI (2013)