Xuzhi Li

Orcid: 0000-0003-3731-1251

According to our database1, Xuzhi Li authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Web service framework to identify multiple pollutions in potential contaminated sites.
Expert Syst. Appl., 2025

Personalised healthcare and exercise rehabilitation based on upper-limb metrics.
Eng. Appl. Artif. Intell., 2025

Robust Representation from EEG via Pre-trained SeqMAE for Brain Activity Decoding.
Proceedings of the International Joint Conference on Neural Networks, 2025

2024
Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks.
Appl. Soft Comput., 2024

PatchTCN: Patch-Based Transformer Convolutional Network for Times Series Analysis.
Proceedings of the 2024 3rd International Symposium on Computing and Artificial Intelligence, 2024

A fine-tuning framework for cross-domain RUL prediction based on relevant health indicators.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Similarity-Based Remaining Useful Lifetime Prediction Method Considering Epistemic Uncertainty.
Sensors, December, 2023

Fault Diagnosis for China Space Station Circulating Pumps: Prototypical Network with Uncertainty Theory.
Symmetry, March, 2023

2022
Consistent Anomaly Detection and Localization of Multivariate Time Series via Cross-Correlation Graph-Based Encoder-Decoder GAN.
IEEE Trans. Instrum. Meas., 2022

Safety Impact Analysis Considering Physical Failures and Cyber-Attacks for Mechanically Pumped Loop Systems (MPLs).
Sensors, 2022

Mechanism Analysis and Self-Adaptive RBFNN Based Hybrid Soft Sensor Model in Energy Production Process: A Case Study.
Sensors, 2022

2021
Efficient Automaton Theoretical Vacuity Detection for Formal Properties.
IEEE Trans. Reliab., 2021

Robust unsupervised anomaly detection via multi-time scale DCGANs with forgetting mechanism for industrial multivariate time series.
Neurocomputing, 2021

2019
Multi-task learning for captioning images with novel words.
IET Comput. Vis., 2019

Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

The Rotate Stress of Steam Turbine Prediction Method Based on Stacking Ensemble Learning.
Proceedings of the 19th IEEE International Symposium on High Assurance Systems Engineering, 2019


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