Zhenghong Wu

According to our database, Zhenghong Wu authored at least 14 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reinforcement Learning for Scientific Application: A Survey.

Zhikuang Xin, Zhenghong Wu, Dong Zhu, Xiaoguang Wang, Jue Wang, Yangang Wang

Proceedings of the Knowledge Science, Engineering and Management, 2024

2023

Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis.

Yutong Dong, Hongkai Jiang, Zhenghong Wu, Qiao Yang, Yunpeng Liu

Reliab. Eng. Syst. Saf., July, 2023

Conditional distribution-guided adversarial transfer learning network with multi-source domains for rolling bearing fault diagnosis.

Zhenghong Wu, Hongkai Jiang, Shaowei Liu, Yunpeng Liu, Wangfeng Yang

Adv. Eng. Informatics, April, 2023

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis.

Xin Wang, Hongkai Jiang, Zhenghong Wu, Qiao Yang

Adv. Eng. Informatics, April, 2023

Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching.

Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Zichun Yi, Ruixin Wang

Reliab. Eng. Syst. Saf., 2023

Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network.

Zhenghong Wu, Hongkai Jiang, Sicheng Zhang, Xin Wang, Haidong Shao, Haoxuan Dou

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022

A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data.

Ke Zhao, Hongkai Jiang, Zhenghong Wu, Tengfei Lu

J. Intell. Manuf., 2022

A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis.

Zhenghong Wu, Hongkai Jiang, Shaowei Liu, Chunxia Yang

Adv. Eng. Informatics, 2022

Machine fault diagnosis with small sample based on variational information constrained generative adversarial network.

Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Yunpeng Liu, Ke Zhu

Adv. Eng. Informatics, 2022

A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains.

Xingqiu Li, Hongkai Jiang, Min Xie, Tongqing Wang, Ruixin Wang, Zhenghong Wu

Adv. Eng. Informatics, 2022

Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network.

Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Ke Zhao, Xin Wang

Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022

2021

Promoting cooperation by reputation scoring mechanism based on historical donations in public goods game.

Le Wang, Tong Chen, Zhenghong Wu

Appl. Math. Comput., 2021

2020

A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data.

Zhenghong Wu, Hongkai Jiang, Tengfei Lu, Ke Zhao

Knowl. Based Syst., 2020

2005

Generating Personalized Answers by Constructing a Question Situation.

Yanwen Wu, Zhenghong Wu, Yan Li, Jinling Li

Proceedings of the Advances in Machine Learning and Cybernetics, 2005