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2020 – today
- 2024
[j16]Chaoying Yang, Jie Liu
, Kaibo Zhou, Xinyu Li:
Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation. J. Intell. Manuf. 35(1): 355-366 (2024)- [j15]Chaoying Yang, Jie Liu, Qi Xu, Kaibo Zhou:
A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis. IEEE Trans. Ind. Informatics 20(2): 2692-2701 (2024) - 2023
- [j14]Chaoying Yang, Jie Liu, Kaibo Zhou, Xiaohui Yuan, Xingxing Jiang:
A meta-path graph-based graph homogenization framework for machine fault diagnosis. Eng. Appl. Artif. Intell. 121: 105960 (2023) - [j13]Kaibo Zhou, Chaoying Yang, Jie Liu, Qi Xu:
Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data. J. Intell. Manuf. 34(4): 1965-1974 (2023) - [j12]Chaoying Yang, Jie Liu, Kaibo Zhou, Xingxing Jiang:
Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning. IEEE Trans. Ind. Informatics 19(8): 8644-8653 (2023) - [j11]Mengliang Zhu, Xiangyu Zeng, Jie Liu, Chaoying Yang, Kaibo Zhou:
Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j10]Chaoying Yang, Jie Liu, Kaibo Zhou, Ming-Feng Ge, Xingxing Jiang:
Transferable graph features-driven cross-domain rotating machinery fault diagnosis. Knowl. Based Syst. 250: 109069 (2022) - [j9]Chaoying Yang, Kaibo Zhou, Jie Liu:
SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis. IEEE Trans. Ind. Electron. 69(4): 4167-4176 (2022) - [j8]Kaibo Zhou, Chaoying Yang, Jie Liu, Qi Xu:
Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis. IEEE Trans. Ind. Electron. 69(10): 10595-10604 (2022) - [j7]Chaoying Yang, Jie Liu, Kaibo Zhou, Xingxing Jiang, Ming-Feng Ge, Yiben Liu:
A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - 2021
- [j6]Kaibo Zhou, Zhixin Zhang, Changxin Gao, Jie Liu:
Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images. IEEE Geosci. Remote. Sens. Lett. 18(1): 33-37 (2021) - [j5]Xiaoyong Yang, Qianxing Wei, Changhe Zhang, Kaibo Zhou, Li Kong, Weiwei Jiang:
Colon Polyp Detection and Segmentation Based on Improved MRCNN. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j4]Zhen Huang, Chengkang Li, Qiang Lv, Rijian Su, Kaibo Zhou:
Automatic Recognition of Communication Signal Modulation Based on the Multiple-Parallel Complex Convolutional Neural Network. Wirel. Commun. Mob. Comput. 2021: 5006248:1-5006248:11 (2021) - [c10]Yingqi Zhao, Jie Liu, Kaibo Zhou, Qi Xu:
An Improved TCN-Based Network Combining RLS for Bearings-Only Target Tracking. ICIRA (2) 2021: 133-141 - [c9]Jianwei Li, Zhibing Zhang, Kaibo Zhou, Dan Luo:
Virtual Service Failure Recovery Algorithm Based on Particle Swarm in IPv6 Networks. ICISCAE (IEEE) 2021: 168-171 - 2020
- [j3]Kai-Bo Zhou, Xiao-Kang Wu, Ming-Feng Ge, Chang-Duo Liang, Bingliang Hu:
Neural-Adaptive Finite-Time Formation Tracking Control of Multiple Nonholonomic Agents With a Time-Varying Target. IEEE Access 8: 62943-62953 (2020) - [c8]Guan-Nan Cao, Kaifeng Zhang, Kaibo Zhou, Hao Pan, Yanhe Xu, Jie Liu:
A Feature Transferring Fault Diagnosis based on WPDR, FSWT and GoogLeNet. I2MTC 2020: 1-6 - [c7]Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu:
Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. ICDM 2020: 891-899
2010 – 2019
- 2019
- [j2]Li Kong, Hao Pan, Xuewei Li, Shuangbao Ma, Qi Xu, Kaibo Zhou:
An Information Entropy-Based Modeling Method for the Measurement System. Entropy 21(7): 691 (2019) - [j1]Kai-Bo Zhou, Jian-Yu Zhang, Yahui Shan, Ming-Feng Ge, Zi-Yue Ge, Guan-Nan Cao:
A Hybrid Multi-Objective Optimization Model for Vibration Tendency Prediction of Hydropower Generators. Sensors 19(9): 2055 (2019) - [i1]Zhixin Zhang, Xudong Chen, Jie Liu, Kaibo Zhou:
Rotated Feature Network for multi-orientation object detection. CoRR abs/1903.09839 (2019) - 2017
- [c6]Kaibo Zhou, Yutao Zou, Hongting Wang, Gaofeng Xu, Sihai Guo:
Multi-objective Optimization for Ladle Tracking of Aluminium Tapping Based on NSGA-II. BIC-TA 2017: 248-262 - [c5]Kaibo Zhou, Gaofeng Xu, Hongting Wang, Sihai Guo:
Fault Diagnosis in Aluminium Electrolysis Using a Joint Method Based on Kernel Principal Component Analysis and Support Vector Machines. BIC-TA 2017: 274-285 - 2015
- [c4]Youmin Hu, Jie Liu, Bo Wu, Kaibo Zhou, Ming-Feng Ge:
An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators. ICINCO (2) 2015: 239-245 - 2011
- [c3]Kaibo Zhou, Gang Liu, Yong Yao, Adrian Popescu:
A Mobility Management Solution for Simultaneous Mobility with mSCTP. NTMS 2011: 1-5
2000 – 2009
- 2009
- [c2]Sihai Guo, Shan Feng, Yong Zhao, Kaibo Zhou:
Using Neural Networks for the Foreign Investment Management Decision Support System. ISNN (1) 2009: 1072-1079 - 2007
- [c1]Rijian Su, Li Kong, Shengli Song, Pu Zhang, Kaibo Zhou, Jingjing Cheng:
A New Ridgelet Neural Network Training Algorithm Based on Improved Particle Swarm Optimization. ICNC (3) 2007: 411-415
Coauthor Index
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