Weili Xiong

Orcid: 0000-0002-9427-8809

According to our database1, Weili Xiong authored at least 31 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
Parameter estimation method for separable fractional-order Hammerstein nonlinear systems based on the on-line measurements.
Appl. Math. Comput., 2025

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

An improved transfer learning approach based on geodesic flow kernel for multiphase batch process soft sensor modeling.
Trans. Inst. Meas. Control, 2024

Novel Semi-Supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application.
IEEE Trans. Instrum. Meas., 2024

2023
Digital twins-based process monitoring for wastewater treatment processes.
Reliab. Eng. Syst. Saf., October, 2023

Incremental learning for Lagrangian ε-twin support vector regression.
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
Dynamic Soft Sensor Modeling for Time Sequence Data Based on Convolution Filters.
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

Adaptive ensemble learning strategy for semi-supervised soft sensing.
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
Robust identification of nonlinear time-delay system in state-space form.
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

Online soft sensing method based on improved weighted Gaussian model.
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

JITL based MWGPR soft sensor for multi-mode process with dual-updating strategy.
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

Adaptive soft sensor for online prediction based on enhanced moving window GPR.
Proceedings of the 2015 International Conference on Control, 2015

2013
An iterative numerical algorithm for modeling a class of Wiener nonlinear systems.
Appl. Math. Lett., 2013

2012
D-S Theory Based on an Improved PSO for Data Fusion.
J. Networks, 2012

Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems.
J. Appl. Math., 2012

2010
Image Fusion Using Self-constraint Pulse-coupled Neural Network.
Proceedings of the Life System Modeling and Intelligent Computing, 2010


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