Kaibo Zhou
Orcid: 0000-0003-0055-3193
According to our database1,
Kaibo Zhou
authored at least 27 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis.
IEEE Trans. Ind. Informatics, February, 2024
Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation.
J. Intell. Manuf., January, 2024
2023
Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning.
IEEE Trans. Ind. Informatics, August, 2023
Eng. Appl. Artif. Intell., May, 2023
Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data.
J. Intell. Manuf., April, 2023
IEEE Trans. Instrum. Meas., 2023
2022
IEEE Trans. Instrum. Meas., 2022
Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis.
IEEE Trans. Ind. Electron., 2022
SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis.
IEEE Trans. Ind. Electron., 2022
Knowl. Based Syst., 2022
2021
Automatic Recognition of Communication Signal Modulation Based on the Multiple-Parallel Complex Convolutional Neural Network.
Wirel. Commun. Mob. Comput., 2021
IEEE Trans. Instrum. Meas., 2021
Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2021
Proceedings of the 4th International Conference on Information Systems and Computer Aided Education, 2021
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
2020
Neural-Adaptive Finite-Time Formation Tracking Control of Multiple Nonholonomic Agents With a Time-Varying Target.
IEEE Access, 2020
Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
A Hybrid Multi-Objective Optimization Model for Vibration Tendency Prediction of Hydropower Generators.
Sensors, 2019
Entropy, 2019
2017
Multi-objective Optimization for Ladle Tracking of Aluminium Tapping Based on NSGA-II.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017
Fault Diagnosis in Aluminium Electrolysis Using a Joint Method Based on Kernel Principal Component Analysis and Support Vector Machines.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017
2015
An Adaptive Sliding Mode Controller for Synchronized Joint Position Tracking Control of Robot Manipulators.
Proceedings of the ICINCO 2015, 2015
2011
Proceedings of the 4th IFIP International Conference on New Technologies, 2011
2009
Proceedings of the Advances in Neural Networks, 2009
2007
A New Ridgelet Neural Network Training Algorithm Based on Improved Particle Swarm Optimization.
Proceedings of the Third International Conference on Natural Computation, 2007