Siyu Liu

Orcid: 0000-0003-4630-0423

Affiliations:
  • Zhejiang Normal University, Jinhua, Zhejiang, China
  • Jiangnan University, Wuxi, China (former)


According to our database1, Siyu Liu authored at least 16 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Adaptive Time-Leaping Gradient Aligned Based Unsupervised Domain Adaptation for Bearing Fault Diagnosis Under Imbalanced Samples.
IEEE Trans. Reliab., 2026

Highly efficient moving data window iterative identification for multiple-input multiple-output systems with colored noise.
J. Frankl. Inst., 2026

A spectral heterogeneous graph neural network with multi-sensor fusion for machine fault diagnosis.
Eng. Appl. Artif. Intell., 2026

Exploring the differences between five basic tastes and tasteless stimuli on brain responses in young adult males utilizing scalp electroencephalography.
Biomed. Signal Process. Control., 2026

An intelligent over-sampling framework with physics-driven guidance for noise robust imbalanced rolling bearing fault diagnosis.
Appl. Soft Comput., 2026

2025
Hierarchical extended parameter identification methods and convergence for finite impulse response moving average models based on the hierarchical identification principle.
J. Syst. Control. Eng., 2025

Zonotopic set-membership state estimation for nonlinear systems based on the deep Koopman operator.
Neurocomputing, 2025

2023
State estimation of a carbon capture process through POD model reduction and neural network approximation.
CoRR, 2023

Sensor network design for post-combustion CO2 capture plants: economy, complexity and robustness.
CoRR, 2023

Sensor placement for post-combustion CO2 capture plants.
Proceedings of the American Control Conference, 2023

2022
A sensitivity-based approach to optimal sensor selection for process networks.
CoRR, 2022

Distributed simultaneous state and parameter estimation of nonlinear systems.
CoRR, 2022

Expectation-maximization algorithm for bilinear systems by using the Rauch-Tung-Striebel smoother.
Autom., 2022

2020
Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window.
J. Frankl. Inst., 2020

2019
Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals.
Circuits Syst. Signal Process., 2019

2017
Iterative Parameter Estimation Algorithms for Dual-Frequency Signal Models.
Algorithms, 2017


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