Weili Xiong
Orcid: 0000-0002-9427-8809
According to our database1,
Weili Xiong
authored at least 29 papers
between 2010 and 2024.
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Bibliography
2024
Novel Two-Stream Deep Slow and Nonstationary Fast Feature Extraction for Chemical Process Soft Sensing Application.
IEEE Trans. Ind. Informatics, June, 2024
A Novel CVAE-Based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications.
IEEE Trans. Ind. Informatics, March, 2024
Fault Detection in Wastewater Treatment Process Using Broad Slow Feature Neural Network With Incremental Learning Ability.
IEEE Trans. Ind. Informatics, March, 2024
Novel Semi-Supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application.
IEEE Trans. Instrum. Meas., 2024
2023
Reliab. Eng. Syst. Saf., October, 2023
Soft Comput., May, 2023
Input Variable Selection and Structure Optimization for LSTM-Based Soft Sensor With a Dual Nonnegative Garrote Approach.
IEEE Trans. Instrum. Meas., 2023
2021
IEEE Trans. Control. Syst. Technol., 2021
2020
Smart Soft Sensor Design with Hierarchical Sampling Strategy of Ensemble Gaussian Process Regression for Fermentation Processes.
Sensors, 2020
J. Frankl. Inst., 2020
Multi-Block Fault Detection for Plant-Wide Dynamic Processes Based on Fault Sensitive Slow Features and Support Vector Data Description.
IEEE Access, 2020
2019
J. Frankl. Inst., 2019
Multi-mode process monitoring based on multi-block information extraction PCA method with local neighbourhood standardisation.
Int. J. Model. Identif. Control., 2019
Int. J. Model. Identif. Control., 2019
Sliding Window Iterative Identification of Systems With Asymmetric Preload Nonlinearity Based on the Key Term Separation.
IEEE Access, 2019
2018
Parameter identification of nonlinear multirate time-delay system with uncertain output delays.
Trans. Inst. Meas. Control, 2018
Soft sensor modeling with a selective updating strategy for Gaussian process regression based on probabilistic principle component analysis.
J. Frankl. Inst., 2018
A robust global approach for LPV FIR model identification with time-varying time delays.
J. Frankl. Inst., 2018
Expectation maximization estimation algorithm for Hammerstein models with non-Gaussian noise and random time delay from dual-rate sampled-data.
Digit. Signal Process., 2018
2017
A Computationally Efficient Received Signal Strength Based Localization Algorithm in Closed-Form for Wireless Sensor Network.
Neural Process. Lett., 2017
Robust identification of Wiener time-delay system with expectation-maximization algorithm.
J. Frankl. Inst., 2017
2016
Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities.
J. Frankl. Inst., 2016
Comput. Chem. Eng., 2016
2015
Design and simulation for sensor network performance evaluation system based on Matlab GUI.
Proceedings of the 2015 International Conference on Control, 2015
Proceedings of the 2015 International Conference on Control, 2015
2013
Appl. Math. Lett., 2013
2012
J. Appl. Math., 2012
2010
Proceedings of the Life System Modeling and Intelligent Computing, 2010