Kaibo Zhou - RankMe

27 papers A* 1Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Black-box domain adaptation for cross-domain on-device machinery fault diagnosis via hierarchical debiased self-supervised learning. Knowl. Based Syst. Mengliang Zhu, Jie Liu, Yanglong Lu, Zhongxu Hu, Li Yuan, Kaibo Zhou
2025	J	`jnl`	Joint Power Allocation and Beamforming Design for Active IRS-Aided Secure Directional Modulation Systems. IEEE Open J. Commun. Soc. Yifan Zhao, Xiaoyu Wang, Kaibo Zhou, Xuehui Wang, Yan Wang, Wei Gao, Ruiqi Liu, Feng Shu
2024	J	`jnl`	A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis. IEEE Trans. Ind. Informatics Chaoying Yang, Jie Liu, Qi Xu, Kaibo Zhou
2024	J	`jnl`	Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation. J. Intell. Manuf. Chaoying Yang, Jie Liu, Kaibo Zhou, Xinyu Li
2023	J	`jnl`	A meta-path graph-based graph homogenization framework for machine fault diagnosis. Eng. Appl. Artif. Intell. Chaoying Yang, Jie Liu, Kaibo Zhou, Xiaohui Yuan, Xingxing Jiang
2023	J	`jnl`	Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data. J. Intell. Manuf. Kaibo Zhou, Chaoying Yang, Jie Liu, Qi Xu
2023	J	`jnl`	Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning. IEEE Trans. Ind. Informatics Chaoying Yang, Jie Liu, Kaibo Zhou, Xingxing Jiang
2023	J	`jnl`	Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. Mengliang Zhu, Xiangyu Zeng, Jie Liu, Chaoying Yang, Kaibo Zhou
2022	J	`jnl`	A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method. IEEE Trans. Instrum. Meas. Chaoying Yang, Jie Liu, Kaibo Zhou, Xingxing Jiang, Ming-Feng Ge, Yiben Liu
2022	J	`jnl`	Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis. IEEE Trans. Ind. Electron. Kaibo Zhou, Chaoying Yang, Jie Liu, Qi Xu
2022	J	`jnl`	SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis. IEEE Trans. Ind. Electron. Chaoying Yang, Kaibo Zhou, Jie Liu
2022	J	`jnl`	Transferable graph features-driven cross-domain rotating machinery fault diagnosis. Knowl. Based Syst. Chaoying Yang, Jie Liu, Kaibo Zhou, Ming-Feng Ge, Xingxing Jiang
2021	—	`conf`	An Improved TCN-Based Network Combining RLS for Bearings-Only Target Tracking. ICIRA (2) Yingqi Zhao, Jie Liu, Kaibo Zhou, Qi Xu
2021	J	`jnl`	Automatic Recognition of Communication Signal Modulation Based on the Multiple-Parallel Complex Convolutional Neural Network. Wirel. Commun. Mob. Comput. Zhen Huang, Chengkang Li, Qiang Lv, Rijian Su, Kaibo Zhou
2021	J	`jnl`	Colon Polyp Detection and Segmentation Based on Improved MRCNN. IEEE Trans. Instrum. Meas. Xiaoyong Yang, Qianxing Wei, Changhe Zhang, Kaibo Zhou, Li Kong, Weiwei Jiang
2021	J	`jnl`	Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images. IEEE Geosci. Remote. Sens. Lett. Kaibo Zhou, Zhixin Zhang, Changxin Gao, Jie Liu
2021	—	`conf`	Virtual Service Failure Recovery Algorithm Based on Particle Swarm in IPv6 Networks. ICISCAE (IEEE) Jianwei Li, Zhibing Zhang, Kaibo Zhou, Dan Luo
2020	—	`conf`	A Feature Transferring Fault Diagnosis based on WPDR, FSWT and GoogLeNet. I2MTC Guan-Nan Cao, Kaifeng Zhang, Kaibo Zhou, Hao Pan, Yanhe Xu, Jie Liu
2020	A*	`conf`	Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. ICDM Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu
2019	J	`jnl`	An Information Entropy-Based Modeling Method for the Measurement System. Entropy Li Kong, Hao Pan, Xuewei Li, Shuangbao Ma, Qi Xu, Kaibo Zhou
2019	J	`jnl`	Rotated Feature Network for multi-orientation object detection. CoRR Zhixin Zhang, Xudong Chen, Jie Liu, Kaibo Zhou
2017	—	`conf`	Fault Diagnosis in Aluminium Electrolysis Using a Joint Method Based on Kernel Principal Component Analysis and Support Vector Machines. BIC-TA Kaibo Zhou, Gaofeng Xu, Hongting Wang, Sihai Guo
2017	—	`conf`	Multi-objective Optimization for Ladle Tracking of Aluminium Tapping Based on NSGA-II. BIC-TA Kaibo Zhou, Yutao Zou, Hongting Wang, Gaofeng Xu, Sihai Guo
2015	—	`conf`	An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators. ICINCO (2) Youmin Hu, Jie Liu, Bo Wu, Kaibo Zhou, Ming-Feng Ge
2011	—	`conf`	A Mobility Management Solution for Simultaneous Mobility with mSCTP. NTMS Kaibo Zhou, Gang Liu, Yong Yao, Adrian Popescu
2009	—	`conf`	Using Neural Networks for the Foreign Investment Management Decision Support System. ISNN (1) Sihai Guo, Shan Feng, Yong Zhao, Kaibo Zhou
2007	—	`conf`	A New Ridgelet Neural Network Training Algorithm Based on Improved Particle Swarm Optimization. ICNC (3) Rijian Su, Li Kong, Shengli Song, Pu Zhang, Kaibo Zhou, Jingjing Cheng