个人信息
Personal information
教授 博士生导师 硕士生导师
性别：男
在职信息：在职
所在单位：人工智能与自动化学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：18luck新利电竞
学科：检测技术与自动化装置- [1] C. Yang, J. Liu, K. Zhou and X. Jiang, "Semi-supervised machine fault diagnosis fusing unsupervised graph contrastive learning," in IEEE Transactions on Industrial Informatics, 2022, doi: 10.1109/TII.2022.3220847..IEEE TII,
- [2] Chaoying Yang, Jie Liu, Kaibo Zhou, Ming-Feng Ge, Xingxing Jiang. Transferable graph features-driven cross-domain rotating machinery fault diagnosis.Knowledge-Based Systems.2022,250:109069. DOI:10.1016/j.knosys.2022.109069..
- [3] K. Zhou, C. Yang, J. Liu and Q. Xu, "Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis," in IEEE Transactions on Industrial Electronics, vol. 69, no. 10, pp. 10595-10604, Oct. 2022, doi: 10.1109/TIE.2021.3121748..
- [4] C. Yang, J. Liu, K. Zhou, X. Yuan and M. -F. Ge, "Transfer Graph-Driven Rotating Machinery Diagnosis Considering Cross-Domain Relationship Construction," in IEEE/ASME Transactions on Mechatronics, 2022, doi: 10.1109/TMECH.2022.3179497..
- [5] Shangyuan Li, Kaibo Zhou, Luanxiao Zhao, Qi Xu, Jie Liu*. An improved lithology identification approach based on representation enhancement by logging feature decomposition, selection and transformation. Journal of Petroleum Science and Engineering, 2022, 209:109842.[J].
- [6] Zhou Kaibo, Yang Chaoying, Liu Jie, Xu Qi. Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data, JOURNAL OF INTELLIGENT MANUFACTURING, 2022, JAN..
- [7] Yang Chaoying, Liu Jie, Zhou Kaibo, Jiang Xingxing, Zeng Xiangyu. An improved multi-channel graph convolutional network and its applications for rotating machinery diagnosis, MEASUREMENT, 2022, 190: 110720..
- [8] Zhou Kaibo, Zhang Kaifeng, Liu Jie, Liu Yanan, Liu Shiyuan, Cao Guannan, Zhu Jinlong. An imbalance aware lithography hotspot detection method based on hdam and pre-trained googlenet [J]. Measurement Science And Technology, 2021,32(12):125008.
- [9] Zhou Kaibo, Li Shangyuan, Liu Jie, Zhou Xiang, Geng Zhexian. Sequential data-driven cross-domain lithology identification under logging data distribution discrepancy [J]. Measurement Science And Technology, 2021,32(12):125122.
- [10] Liu Jie, Zhou Kaibo, Yang Chaoying, Lu Guoliang. Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning.Frontiers Of Mechanical Engineering, 2021, (8).