Modelling of mill load for wet ball mill via GA and SVM based on spectral feature. - Lijie Zhao; Jian Tang 003; Wen Yu 001; Heng Yue; Tianyou Chai (BIC-TA, 2010)

Modeling of operating parameters for wet ball mill by modified GA-KPLS. - Jian Tang 003; Wen Yu 001; Lijie Zhao; Heng Yue; Tianyou Chai (IWACI, 2010)

KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling. - Jian Tang 003; Tianyou Chai; Wen Yu 001; Lijie Zhao; Si-Zhao Joe Qin (CDC/ECC, 2011)

Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices. - Lijie Zhao; Decheng Yuan; Jian Tang 003; Wei Wang 344; Tianyou Chai (J. Softw., 2011)

Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters. - Jian Tang 003; Lijie Zhao; Yi-miao Li; Tianyou Chai; Si-Zhao Joe Qin (ISNN (2), 2012)

Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal. - Jian Tang 003; Lijie Zhao; Jia Long; Tianyou Chai; Wen Yu 001 (ISNN (1), 2012)

Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines. - Lijie Zhao; Jian Tang 003; Tianyou Chai (ISNN (1), 2012)

Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm. - Jian Tang 003; Tianyou Chai; Lijie Zhao; Wen Yu 001; Heng Yue (Neurocomputing, 2012)

On-line principal component analysis with application to process modeling. - Jian Tang 003; Wen Yu 001; Tianyou Chai; Lijie Zhao (Neurocomputing, 2012)

Predicting mill load using partial least squares and extreme learning machines. - Jian Tang 003; Dianhui Wang; Tianyou Chai (Soft Comput., 2012)

Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information. - Jian Tang 003; Tianyou Chai; Wen Yu 001; Lijie Zhao (IEEE Trans Autom. Sci. Eng., 2013)

Modeling load parameters of ball mill using frequency spectral features based on Hilbert vibration decomposition. - Jian Tang 003; Yi Kan; Zhuo Liu; Tianyou Chai (ICIA, 2014)

Modeling high dimensional frequency spectral data based on virtual sample generation technique. - Jian Tang 003; Meiying Jia; Zhuo Liu; Tianyou Chai; Wen Yu 001 (ICIA, 2015)

Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation. - Zhuo Liu; Tianyou Chai; Wen Yu 001; Jian Tang 003 (Neurocomputing, 2015)

Supervised Nonlinear Latent Feature Extraction and Regularized Random Weights Neural Network Modeling for Intrusion Detection System. - Jian Tang 003; Liu Zhuo; Meiying Jia; Chunlai Sun; Chaowen Shi (ICCCS (1), 2016)

Energy-Efficient Data Collection Algorithms Based on Clustering for Mobility-Enabled Wireless Sensor Networks. - Jian Zhang 054; Jian Tang 003; Fei Chen 010 (ICCCS (2), 2016)

Feature selection based on concurrent projection to latent structures for high dimensional spectra data. - Jian Tang 003; Tianyou Chai; Si-Zhao Joe Qin; Zhuo Liu; Wen Yu 001 (ICIA, 2016)

Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device. - Jian Tang 003; Zhuo Liu; Jian Zhang 054; Zhiwei Wu; Tianyou Chai; Wen Yu 001 (Neurocomputing, 2016)

A Comparative Study That Measures Ball Mill Load Parameters Through Different Single-Scale and Multiscale Frequency Spectra-Based Approaches. - Jian Tang 003; Tianyou Chai; Wen Yu 001; Zhuo Liu; Xiaojie Zhou (IEEE Trans. Ind. Informatics, 2016)

On-Line Intrusion Detection Model Based on Approximate Linear Dependent Condition with Linear Latent Feature Extraction. - Jian Tang 003; Meijuan Jia; Jian Zhang 054; Meiying Jia (ICCCS (2), 2017)

Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data1. - Jian Tang 003; Jun-Fei Qiao 001; Zhuo Liu; Tianyou Chai; Wen Yu 001 (ICIA, 2017)

Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model. - Jian Tang 003; Junfei Qiao 001; Zhiwei Wu; Jian Zhang 054; Aijun Yan (ICONIP (1), 2017)

Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm. - Jian Tang 003; Jian Zhang 054; Zhiwei Wu; Zhuo Liu; Tianyou Chai; Wen Yu 001 (Neurocomputing, 2017)

Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks. - Jian Zhang 054; Jian Tang 003; Tianbao Wang; Fei Chen 010 (Int. J. Sens. Networks, 2017)

Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application. - Jian Tang 003; Jun-Fei Qiao 001; Wen Yu 001 (ICIA, 2018)

Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model. - Jian Tang 003; Junfei Qiao 001; Jian Zhang 054; Zhiwei Wu; Tianyou Chai; Wen Yu 001 (Neurocomputing, 2018)

Optimising rendezvous-based data collection for target tracking in WSNs with mobile elements. - Jian Zhang 054; Tianbao Wang; Jian Tang 003 (Int. J. Sens. Networks, 2019)

Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum. - Jian Tang 003; Junfei Qiao 001; Zhuo Liu; Xiaojie Zhou; Gang Yu; Jianjun Zhao (Soft Comput., 2019)

Multisource Latent Feature Selective Ensemble Modeling Approach for Small-Sample High-Dimensional Process Data in Applications. - Jian Tang 003; Jian Zhang 054; Gang Yu; Wenping Zhang; Wen Yu 001 (IEEE Access, 2020)

Cooperative Relay Selection for Load Balancing With Mobility in Hierarchical WSNs: A Multi-Armed Bandit Approach. - Jian Zhang 054; Jian Tang 003; Feng Wang 001 (IEEE Access, 2020)

Deep forest regression based on cross-layer full connection. - Jian Tang 003; Heng Xia; Jian Zhang 054; Junfei Qiao 001; Wen Yu 001 (Neural Comput. Appl., 2021)

Combustion State Recognition Method in Municipal Solid Waste Incineration Processes Based on Improved Deep Forest. - Xiaotong Pan; Jian Tang 003; Heng Xia; Weitao Li; Haitao Guo (NCAA (1), 2022)

A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process. - Haijun He; Xi Meng; Jian Tang 003; Junfei Qiao 001 (Neural Comput. Appl., 2022)

DF classification algorithm for constructing a small sample size of data-oriented DF regression model. - Heng Xia; Jian Tang 003; Junfei Qiao 001; Jian Zhang 054; Wen Yu 001 (Neural Comput. Appl., 2022)

NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes. - Xi Meng; Jian Tang 003; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2022)

Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum. - Zhuo Liu; Tianyou Chai; Jian Tang 003; Wen Yu 001 (Soft Comput., 2022)

Online Soft Sensing of Dioxin Emission Based on Fast Tree BLS and Robust PCA. - Heng Xia; Jian Tang 003; Runyu Zhang (SSCI, 2023)

Carbon Monoxide Emission Prediction Based on Concept Drift Detection Using KPCA for Municipal Solid Waste Incineration Processes. - Runyu Zhang; Jian Tang 003; Heng Xia (SSCI, 2023)

Takagi-Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling. - Heng Xia; Jian Tang 003; Wen Yu 001; Canlin Cui; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2023)

Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor. - Canlin Cui; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2023)

Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree. - Chaofan Xu; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2023)

Evolving Deep Delay Echo State Network for Effluent NH4-N Prediction in Wastewater Treatment Plants. - Cuili Yang; Sheng Yang; Jian Tang 003; Junfei Qiao 001; Wen Yu 001 (IEEE Trans. Instrum. Meas., 2023)

Virtual sample generation method based on generative adversarial fuzzy neural network. - Canlin Cui; Jian Tang 003; Heng Xia; Junfei Qiao 001; Wen Yu 001 (Neural Comput. Appl., 2023)

Time-series prediction using a regularized self-organizing long short-term memory neural network. - Hao-shan Duan; Xi Meng; Jian Tang 003; Jun-Fei Qiao 001 (Appl. Soft Comput., 2023)

Combustion state identification of MSWI processes using ViT-IDFC. - Xiaotong Pan; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2023)

Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process. - Tianzheng Wang 004; Jian Tang 003; Heng Xia; Cuili Yang; Wen Yu 001; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2024)

Multi-objective PSO semi-supervised random forest method for dioxin soft sensor. - Wen Xu; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (Eng. Appl. Artif. Intell., 2024)

Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization. - Tianzheng Wang 004; Jian Tang 003; Heng Xia; Loai Aljerf; Runyu Zhang; Hao Tian; Mulugeta Legesse Akele (Expert Syst. Appl., 2024)

Multimodal Data-Driven Interpretable Deep Modeling Approach of Dioxins Generation for Municipal Solid Waste Incineration Processes. - Heng Xia; Jian Tang 003; Xiaotong Pan; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2024)

Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization. - Cuili Yang; Danlei Wang; Jian Tang 003; Junfei Qiao 001; Wen Yu 001 (Inf. Sci., 2024)

Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning. - Heng Xia; Jian Tang 003; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Design and Application of Adaptive Sparse Deep Echo State Network. - Cuili Yang; Sheng Yang; Jian Tang 003; Bing Li (IEEE Trans. Consumer Electron., 2024)

NOx emissions prediction for MSWI process based on dynamic modular neural network. - Hao-shan Duan; Xi Meng; Jian Tang 003; Junfei Qiao 001 (Expert Syst. Appl., 2024)

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization. - Runyu Zhang; Jian Tang 003; Heng Xia; Xiaotong Pan; Wen Yu 001; Junfei Qiao 001 (Neural Comput. Appl., 2024)

Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application. - Hao-shan Duan; Xi Meng; Jian Tang 003; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Tree Broad Learning System for Small Data Modeling. - Heng Xia; Jian Tang 003; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process. - Heng Xia; Jian Tang 003; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Ind. Electron., 2024)

A novel data-driven sample augmentation method using interpretable space and adversarial mechanism for dioxin risk warning. - Canlin Cui; Jian Tang 003; Junfei Qiao 001; Heng Xia (Eng. Appl. Artif. Intell., 2025)

Furnace temperature control based on interval type-2 fuzzy broad learning system for municipal solid waste incineration process. - Hao Tian; Jian Tang 003; Loai Aljerf; Tianzheng Wang 004; Junfei Qiao 001 (Expert Syst. Appl., 2025)

Robust multi-target regression with improved stochastic configuration networks and its applications. - Aijun Yan; Kaicheng Hu; Dianhui Wang; Jian Tang 003 (Inf. Sci., 2025)

Dioxin Emission Detection Based on Dynamic Pruning Online Ensemble Binary Tree Algorithm. - Chaofan Xu; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Flue Gas Oxygen Content Control Based on Interval Type-2 Fuzzy Broad Learning System and PID for MSWI Process. - Weiwei Yang; Jian Tang 003; Hao Tian; Wen Yu 001; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

CO Emission Prediction for MSWI Process Based on Dual-Space Nested Dual-Window Drift Detection. - Runyu Zhang; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2025)

Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control. - Hao Tian; Jian Tang 003; Heng Xia; Wen Yu 001; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2025)

Using deep forest regression and multi-layer state transition algorithm to soft measuring modeling with small sample data. - Heng Xia; Jian Tang 003; Wen Yu 001 (Soft Comput., 2025)