Kai Zhong
Orcid: 0000-0003-0444-121XAffiliations:
- Anhui University, Institutes of Physical Science and Information Technology, Hefei, China
- Dalian University of Technology, China (PhD 2020)
According to our database1,
Kai Zhong authored at least 20 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
Hierarchical Causal Graph Neural Networks With Cascading Failure Analysis for Complex Systems Root Cause Identification.
IEEE Trans. Syst. Man Cybern. Syst., March, 2026
Contrastive Learning Based Collaborative Modeling of Heterogeneous Data for Few-Shot Fault Diagnosis.
IEEE Trans. Artif. Intell., January, 2026
Continuous Causal Learning of Multimode Industrial Processes for Comprehensive Root Cause Analysis.
IEEE Internet Things J., 2026
Adaptive hypergraph contrastive learning with structure-conditioned diffusion for robust fault diagnosis.
Expert Syst. Appl., 2026
2025
Simultaneous Fault Diagnosis and Size Estimation Using Multitask Federated Incremental Learning.
IEEE Trans. Reliab., March, 2025
Semantic Consistency Assisted Neuron Adding Network for Generalized Zero-Shot Diagnosis With Incremental Learning Capability.
IEEE Trans. Netw. Sci. Eng., 2025
Implicit-Explicit Collaborative Cross-Stitch Network With Multitask Disentanglement Learning for Fault Diagnosis and Size Estimation.
IEEE Trans. Instrum. Meas., 2025
High-precision prediction of non-resonant high-order harmonics energetic particle modes via stacking ensemble strategies.
Mach. Learn. Sci. Technol., 2025
2024
Degradation-Trend-Aware Deep Neural Network With Attention Mechanism for Bearing Remaining Useful Life Prediction.
IEEE Trans. Artif. Intell., June, 2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Discriminant Analysis-Guided Alignment Network for Multimachine Fault Collaborative Learning and Diagnosis.
IEEE Trans. Instrum. Meas., 2024
A Unified Framework With Collaborative Reasoning Capacity for Nonuniform Industrial Processes Root Cause Identification.
IEEE Trans. Instrum. Meas., 2024
2023
Overview of fault prognosis for traction systems in high-speed trains: A deep learning perspective.
Eng. Appl. Artif. Intell., November, 2023
SMPC-Ranking: A Privacy-Preserving Method on Identifying Influential Nodes in Multiple Private Networks.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
IEEE Trans. Comput. Soc. Syst., April, 2023
IEEE Trans. Instrum. Meas., 2023
HE-SNA: an efficient cross-platform network alignment scheme from privacy-aware perspective.
Complex Intell. Syst., 2023
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
Remaining Useful Life Prediction of Bearing via a Double Attention-Based Deep Neural Network.
Proceedings of the IEEE Smartworld, 2022
2021
A Tutorial on Hardware-Implemented Fault Injection and Online Fault Diagnosis for High-Speed Trains.
Sensors, 2021