Fei Chu

Orcid: 0009-0005-2724-822X

According to our database1, Fei Chu authored at least 25 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Compact Broad Learning System Based on Fused Lasso and Smooth Lasso.
IEEE Trans. Cybern., January, 2024

Operating Performance Assessment of Complex Nonlinear Industrial Process Based on Kernel Locally Linear Embedding PLS.
IEEE Trans Autom. Sci. Eng., January, 2024

RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion.
Comput. Biol. Medicine, 2024

2023
Broad Minimax Probability Learning System and its Application in Regression Modeling.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Learning broad learning system with controllable sparsity through L<sub>0</sub> regularization.
Appl. Soft Comput., March, 2023

Operating performance assessment method for industrial process with slowness principle-based LSTM network.
Eng. Appl. Artif. Intell., 2023

Multi-strategy Improved Multi-objective Harris Hawk Optimization Algorithm with Elite Opposition-based Learning.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

A hybrid Aquila Optimizer sine cosine Algorithm for Numerical Optimization.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

2022
Frequency-Domain Energy-Concentrated Synchrosqueezing Transform for Frequency-Varying Signal With Linear Group Delay.
IEEE Trans. Instrum. Meas., 2022

Self-supervised global context graph neural network for session-based recommendation.
PeerJ Comput. Sci., 2022

A Residue Amplifier with 85 dB DC Gain and 15 GHz Closed-Loop Bandwidth for 14-Bit 3GSPS Pipeline ADC.
Circuits Syst. Signal Process., 2022

A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis.
Comput. Chem. Eng., 2022

Operating performance assessment of between-mode transitions for multi-mode plant-wide process.
Proceedings of the 13th Asian Control Conference, 2022

Graph auto encoder-based operation performance assessment method and its application for complex industrial process.
Proceedings of the 13th Asian Control Conference, 2022

2021
A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method.
J. Frankl. Inst., 2021

2020
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method.
IEEE Trans Autom. Sci. Eng., 2020

2019
Soft Sensor Model Development for Cobalt Oxalate Synthesis Process Based on Adaptive Gaussian Mixture Regression.
IEEE Access, 2019

2017
Configurable Platform for Optimal-Setting Control of Grinding Processes.
IEEE Access, 2017

Robust Regularized Random Vector Functional Link Network and Its Industrial Application.
IEEE Access, 2017

Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM.
IEEE Access, 2017

Software platform for optimal setting control of complex industrial processes.
Proceedings of the 2017 American Control Conference, 2017

2016
Adaptive Fuzzy Output-Feedback Tracking Control for a Class of Switched Stochastic Nonlinear Time-Delay Systems.
Circuits Syst. Signal Process., 2016

2014
A hybrid artificial neural network - mechanistic model for centrifugal compressor.
Neural Comput. Appl., 2014

2013
Soft sensor for cobalt oxalate synthesis process in cobalt hydrometallurgy based on hybrid model.
Neural Comput. Appl., 2013


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