Jian Tang

Orcid: 0000-0003-2270-268X

Affiliations:
  • Beijing University of Technology, College of Electronic and Control Engineering, China
  • Northeastern University, Shenyang, China (PhD 2012)


According to our database1, Jian Tang authored at least 58 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
Robust multi-target regression with improved stochastic configuration networks and its applications.
Inf. Sci., 2025

2024
Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process.
IEEE Trans. Ind. Electron., October, 2024

Tree Broad Learning System for Small Data Modeling.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application.
IEEE Trans. Ind. Informatics, May, 2024

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization.
Neural Comput. Appl., April, 2024

NOx emissions prediction for MSWI process based on dynamic modular neural network.
Expert Syst. Appl., March, 2024

Design and Application of Adaptive Sparse Deep Echo State Network.
IEEE Trans. Consumer Electron., February, 2024

Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning.
IEEE Trans. Ind. Informatics, January, 2024

Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization.
Inf. Sci., January, 2024

Multimodal Data-Driven Interpretable Deep Modeling Approach of Dioxins Generation for Municipal Solid Waste Incineration Processes.
IEEE Trans. Instrum. Meas., 2024

Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization.
Expert Syst. Appl., 2024

Multi-objective PSO semi-supervised random forest method for dioxin soft sensor.
Eng. Appl. Artif. Intell., 2024

Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process.
Eng. Appl. Artif. Intell., 2024

2023
Combustion state identification of MSWI processes using ViT-IDFC.
Eng. Appl. Artif. Intell., November, 2023

Time-series prediction using a regularized self-organizing long short-term memory neural network.
Appl. Soft Comput., September, 2023

Virtual sample generation method based on generative adversarial fuzzy neural network.
Neural Comput. Appl., March, 2023

Evolving Deep Delay Echo State Network for Effluent NH<sub>4</sub>-N Prediction in Wastewater Treatment Plants.
IEEE Trans. Instrum. Meas., 2023

Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree.
IEEE Trans. Instrum. Meas., 2023

Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor.
IEEE Trans. Instrum. Meas., 2023

Takagi-Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling.
IEEE Trans. Fuzzy Syst., 2023

Carbon Monoxide Emission Prediction Based on Concept Drift Detection Using KPCA for Municipal Solid Waste Incineration Processes.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Online Soft Sensing of Dioxin Emission Based on Fast Tree BLS and Robust PCA.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum.
Soft Comput., December, 2022

NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes.
IEEE Trans. Ind. Informatics, 2022

DF classification algorithm for constructing a small sample size of data-oriented DF regression model.
Neural Comput. Appl., 2022

A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process.
Neural Comput. Appl., 2022

Combustion State Recognition Method in Municipal Solid Waste Incineration Processes Based on Improved Deep Forest.
Proceedings of the Neural Computing for Advanced Applications, 2022

2021
Deep forest regression based on cross-layer full connection.
Neural Comput. Appl., 2021

2020
Cooperative Relay Selection for Load Balancing With Mobility in Hierarchical WSNs: A Multi-Armed Bandit Approach.
IEEE Access, 2020

Multisource Latent Feature Selective Ensemble Modeling Approach for Small-Sample High-Dimensional Process Data in Applications.
IEEE Access, 2020

2019
Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum.
Soft Comput., 2019

Optimising rendezvous-based data collection for target tracking in WSNs with mobile elements.
Int. J. Sens. Networks, 2019

2018
Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model.
Neurocomputing, 2018

Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application.
Proceedings of the IEEE International Conference on Information and Automation, 2018

2017
Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks.
Int. J. Sens. Networks, 2017

Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm.
Neurocomputing, 2017

Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data<sup>1</sup>.
Proceedings of the IEEE International Conference on Information and Automation, 2017

On-Line Intrusion Detection Model Based on Approximate Linear Dependent Condition with Linear Latent Feature Extraction.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017

2016
A Comparative Study That Measures Ball Mill Load Parameters Through Different Single-Scale and Multiscale Frequency Spectra-Based Approaches.
IEEE Trans. Ind. Informatics, 2016

Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device.
Neurocomputing, 2016

Feature selection based on concurrent projection to latent structures for high dimensional spectra data.
Proceedings of the IEEE International Conference on Information and Automation, 2016

Energy-Efficient Data Collection Algorithms Based on Clustering for Mobility-Enabled Wireless Sensor Networks.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016

Supervised Nonlinear Latent Feature Extraction and Regularized Random Weights Neural Network Modeling for Intrusion Detection System.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016

2015
Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation.
Neurocomputing, 2015

Modeling high dimensional frequency spectral data based on virtual sample generation technique.
Proceedings of the IEEE International Conference on Information and Automation, 2015

2014
Modeling load parameters of ball mill using frequency spectral features based on Hilbert vibration decomposition.
Proceedings of the IEEE International Conference on Information and Automation, 2014

2013
Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information.
IEEE Trans Autom. Sci. Eng., 2013

2012
Predicting mill load using partial least squares and extreme learning machines.
Soft Comput., 2012

On-line principal component analysis with application to process modeling.
Neurocomputing, 2012

Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm.
Neurocomputing, 2012

Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011
Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices.
J. Softw., 2011

KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Modeling of operating parameters for wet ball mill by modified GA-KPLS.
Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010

Modelling of mill load for wet ball mill via GA and SVM based on spectral feature.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010


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