Jian Tang

69 papers Journal 51Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian optimization interval type-3 fuzzy broad compensated intelligent control for flue gas oxygen content.
Eng. Appl. Artif. Intell.
Weiwei Yang, Jian Tang, Wen Yu, Junfei Qiao
2026 J jnl
Incremental multi-subreservoirs echo state network control for uncertain aeration process.
Neural Networks
Cuili Yang, Qingrun Zhang, Jiahang Zhang, Jian Tang
2026 J jnl
Multirate modeling of energy consumption in wastewater treatment process via multi-task learning and interpolated ESN.
Expert Syst. Appl.
Cuili Yang, Zhao Xu, Jiahang Zhang, Jian Tang
2025 J jnl
A novel data-driven sample augmentation method using interpretable space and adversarial mechanism for dioxin risk warning.
Eng. Appl. Artif. Intell.
Canlin Cui, Jian Tang, Junfei Qiao, Heng Xia
2025 J jnl
Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control.
IEEE Trans. Ind. Informatics
Hao Tian, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
2025 J jnl
CO Emission Prediction for MSWI Process Based on Dual-Space Nested Dual-Window Drift Detection.
IEEE Trans. Instrum. Meas.
Runyu Zhang, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
2025 J jnl
Dioxin Emission Detection Based on Dynamic Pruning Online Ensemble Binary Tree Algorithm.
IEEE Trans Autom. Sci. Eng.
Chaofan Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
2025 J jnl
Flue Gas Oxygen Content Control Based on Interval Type-2 Fuzzy Broad Learning System and PID for MSWI Process.
IEEE Trans Autom. Sci. Eng.
Weiwei Yang, Jian Tang, Hao Tian, Wen Yu, Junfei Qiao
2025 J jnl
Furnace temperature control based on interval type-2 fuzzy broad learning system for municipal solid waste incineration process.
Expert Syst. Appl.
Hao Tian, Jian Tang, Loai Aljerf, Tianzheng Wang, Junfei Qiao
2025 J jnl
Improved Interval Type-II Fuzzy Broad MPC Method for Furnace Temperature of Municipal Solid Waste Incineration Process.
IEEE Trans. Fuzzy Syst.
Bokang Wang, Jian Tang, Hao Tian, Wen Yu, Junfei Qiao
2025 J jnl
Robust multi-target regression with improved stochastic configuration networks and its applications.
Inf. Sci.
Aijun Yan, Kaicheng Hu, Dianhui Wang, Jian Tang
2025 J jnl
Using deep forest regression and multi-layer state transition algorithm to soft measuring modeling with small sample data.
Soft Comput.
Heng Xia, Jian Tang, Wen Yu
2024 J jnl
CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization.
Neural Comput. Appl.
Runyu Zhang, Jian Tang, Heng Xia, Xiaotong Pan, Wen Yu, Junfei Qiao
2024 J jnl
Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process.
Eng. Appl. Artif. Intell.
Tianzheng Wang, Jian Tang, Heng Xia, Cuili Yang, Wen Yu, Junfei Qiao
2024 J jnl
Design and Application of Adaptive Sparse Deep Echo State Network.
IEEE Trans. Consumer Electron.
Cuili Yang, Sheng Yang, Jian Tang, Bing Li
2024 J jnl
Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application.
IEEE Trans. Ind. Informatics
Hao-shan Duan, Xi Meng, Jian Tang, Junfei Qiao
2024 J jnl
Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process.
IEEE Trans. Ind. Electron.
Heng Xia, Jian Tang, Wen Yu, Junfei Qiao
2024 J jnl
Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization.
Expert Syst. Appl.
Tianzheng Wang, Jian Tang, Heng Xia, Loai Aljerf, Runyu Zhang, Hao Tian, Mulugeta Legesse Akele
2024 J jnl
Multi-objective PSO semi-supervised random forest method for dioxin soft sensor.
Eng. Appl. Artif. Intell.
Wen Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
2024 J jnl
Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization.
Inf. Sci.
Cuili Yang, Danlei Wang, Jian Tang, Junfei Qiao, Wen Yu
2024 J jnl
Multimodal Data-Driven Interpretable Deep Modeling Approach of Dioxins Generation for Municipal Solid Waste Incineration Processes.
IEEE Trans. Instrum. Meas.
Heng Xia, Jian Tang, Xiaotong Pan, Wen Yu, Junfei Qiao
2024 J jnl
NOx emissions prediction for MSWI process based on dynamic modular neural network.
Expert Syst. Appl.
Hao-shan Duan, Xi Meng, Jian Tang, Junfei Qiao
2024 J jnl
Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning.
IEEE Trans. Ind. Informatics
Heng Xia, Jian Tang, Wen Yu, Junfei Qiao
2024 J jnl
Tree Broad Learning System for Small Data Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Heng Xia, Jian Tang, Wen Yu, Junfei Qiao
2023 — conf
Carbon Monoxide Emission Prediction Based on Concept Drift Detection Using KPCA for Municipal Solid Waste Incineration Processes.
SSCI
Runyu Zhang, Jian Tang, Heng Xia
2023 J jnl
Combustion state identification of MSWI processes using ViT-IDFC.
Eng. Appl. Artif. Intell.
Xiaotong Pan, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
2023 J jnl
Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree.
IEEE Trans. Instrum. Meas.
Chaofan Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
2023 J jnl
Evolving Deep Delay Echo State Network for Effluent NH
IEEE Trans. Instrum. Meas.
Cuili Yang, Sheng Yang, Jian Tang, Junfei Qiao, Wen Yu
2023 J jnl
Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor.
IEEE Trans. Instrum. Meas.
Canlin Cui, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
2023 — conf
Online Soft Sensing of Dioxin Emission Based on Fast Tree BLS and Robust PCA.
SSCI
Heng Xia, Jian Tang, Runyu Zhang
2023 J jnl
Takagi-Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling.
IEEE Trans. Fuzzy Syst.
Heng Xia, Jian Tang, Wen Yu, Canlin Cui, Junfei Qiao
2023 J jnl
Time-series prediction using a regularized self-organizing long short-term memory neural network.
Appl. Soft Comput.
Hao-shan Duan, Xi Meng, Jian Tang, Jun-Fei Qiao
2023 J jnl
Virtual sample generation method based on generative adversarial fuzzy neural network.
Neural Comput. Appl.
Canlin Cui, Jian Tang, Heng Xia, Junfei Qiao, Wen Yu
2022 J jnl
A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process.
Neural Comput. Appl.
Haijun He, Xi Meng, Jian Tang, Junfei Qiao
2022 — conf
Combustion State Recognition Method in Municipal Solid Waste Incineration Processes Based on Improved Deep Forest.
NCAA (1)
Xiaotong Pan, Jian Tang, Heng Xia, Weitao Li, Haitao Guo
2022 J jnl
DF classification algorithm for constructing a small sample size of data-oriented DF regression model.
Neural Comput. Appl.
Heng Xia, Jian Tang, Junfei Qiao, Jian Zhang, Wen Yu
2022 J jnl
Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum.
Soft Comput.
Zhuo Liu, Tianyou Chai, Jian Tang, Wen Yu
2022 J jnl
NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes.
IEEE Trans. Ind. Informatics
Xi Meng, Jian Tang, Junfei Qiao
2021 J jnl
Deep forest regression based on cross-layer full connection.
Neural Comput. Appl.
Jian Tang, Heng Xia, Jian Zhang, Junfei Qiao, Wen Yu
2020 J jnl
Cooperative Relay Selection for Load Balancing With Mobility in Hierarchical WSNs: A Multi-Armed Bandit Approach.
IEEE Access
Jian Zhang, Jian Tang, Feng Wang
2020 J jnl
Multisource Latent Feature Selective Ensemble Modeling Approach for Small-Sample High-Dimensional Process Data in Applications.
IEEE Access
Jian Tang, Jian Zhang, Gang Yu, Wenping Zhang, Wen Yu
2019 J jnl
Optimising rendezvous-based data collection for target tracking in WSNs with mobile elements.
Int. J. Sens. Networks
Jian Zhang, Tianbao Wang, Jian Tang
2019 J jnl
Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum.
Soft Comput.
Jian Tang, Junfei Qiao, Zhuo Liu, Xiaojie Zhou, Gang Yu, Jianjun Zhao
2018 J jnl
Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model.
Neurocomputing
Jian Tang, Junfei Qiao, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu
2018 — conf
Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application.
ICIA
Jian Tang, Jun-Fei Qiao, Wen Yu
2017 J jnl
Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks.
Int. J. Sens. Networks
Jian Zhang, Jian Tang, Tianbao Wang, Fei Chen
2017 J jnl
Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm.
Neurocomputing
Jian Tang, Jian Zhang, Zhiwei Wu, Zhuo Liu, Tianyou Chai, Wen Yu
2017 — conf
Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data
ICIA
Jian Tang, Jun-Fei Qiao, Zhuo Liu, Tianyou Chai, Wen Yu
2017 — conf
On-Line Intrusion Detection Model Based on Approximate Linear Dependent Condition with Linear Latent Feature Extraction.
ICCCS (2)
Jian Tang, Meijuan Jia, Jian Zhang, Meiying Jia
2017 — conf
Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model.
ICONIP (1)
Jian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan
2016 J jnl
A Comparative Study That Measures Ball Mill Load Parameters Through Different Single-Scale and Multiscale Frequency Spectra-Based Approaches.
IEEE Trans. Ind. Informatics
Jian Tang, Tianyou Chai, Wen Yu, Zhuo Liu, Xiaojie Zhou
2016 — conf
Energy-Efficient Data Collection Algorithms Based on Clustering for Mobility-Enabled Wireless Sensor Networks.
ICCCS (2)
Jian Zhang, Jian Tang, Fei Chen
2016 — conf
Feature selection based on concurrent projection to latent structures for high dimensional spectra data.
ICIA
Jian Tang, Tianyou Chai, Si-Zhao Joe Qin, Zhuo Liu, Wen Yu
2016 J jnl
Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device.
Neurocomputing
Jian Tang, Zhuo Liu, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu
2016 — conf
Supervised Nonlinear Latent Feature Extraction and Regularized Random Weights Neural Network Modeling for Intrusion Detection System.
ICCCS (1)
Jian Tang, Liu Zhuo, Meiying Jia, Chunlai Sun, Chaowen Shi
2015 — conf
Modeling high dimensional frequency spectral data based on virtual sample generation technique.
ICIA
Jian Tang, Meiying Jia, Zhuo Liu, Tianyou Chai, Wen Yu
2015 J jnl
Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation.
Neurocomputing
Zhuo Liu, Tianyou Chai, Wen Yu, Jian Tang
2014 — conf
Modeling load parameters of ball mill using frequency spectral features based on Hilbert vibration decomposition.
ICIA
Jian Tang, Yi Kan, Zhuo Liu, Tianyou Chai
2013 J jnl
Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information.
IEEE Trans Autom. Sci. Eng.
Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao
2012 — conf
Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters.
ISNN (2)
Jian Tang, Lijie Zhao, Yi-miao Li, Tianyou Chai, Si-Zhao Joe Qin
2012 — conf
Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines.
ISNN (1)
Lijie Zhao, Jian Tang, Tianyou Chai
2012 J jnl
On-line principal component analysis with application to process modeling.
Neurocomputing
Jian Tang, Wen Yu, Tianyou Chai, Lijie Zhao
2012 J jnl
Predicting mill load using partial least squares and extreme learning machines.
Soft Comput.
Jian Tang, Dianhui Wang, Tianyou Chai
2012 — conf
Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal.
ISNN (1)
Jian Tang, Lijie Zhao, Jia Long, Tianyou Chai, Wen Yu
2012 J jnl
Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm.
Neurocomputing
Jian Tang, Tianyou Chai, Lijie Zhao, Wen Yu, Heng Yue
2011 — conf
KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling.
CDC/ECC
Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao, Si-Zhao Joe Qin
2011 J jnl
Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices.
J. Softw.
Lijie Zhao, Decheng Yuan, Jian Tang, Wei Wang, Tianyou Chai
2010 — conf
Modeling of operating parameters for wet ball mill by modified GA-KPLS.
IWACI
Jian Tang, Wen Yu, Lijie Zhao, Heng Yue, Tianyou Chai
2010 — conf
Modelling of mill load for wet ball mill via GA and SVM based on spectral feature.
BIC-TA
Lijie Zhao, Jian Tang, Wen Yu, Heng Yue, Tianyou Chai