Jian Tang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 40

Top Topics

Feature Selection

Top Venues

Neural Comput. Appl.

IEEE Trans. Ind. Informatics

Publications

Hao-shan Duan, Xi Meng, Jian Tang, Junfei Qiao
Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application. IEEE Trans. Ind. Informatics 20 (5) (2024)
Wen Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
Multi-objective PSO semi-supervised random forest method for dioxin soft sensor. Eng. Appl. Artif. Intell. 135 (2024)
Hao-shan Duan, Xi Meng, Jian Tang, Junfei Qiao
NOx emissions prediction for MSWI process based on dynamic modular neural network. Expert Syst. Appl. 238 (Part C) (2024)
Heng Xia, Jian Tang, Wen Yu, Junfei Qiao
Tree Broad Learning System for Small Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Tianzheng Wang, Jian Tang, Heng Xia, Cuili Yang, Wen Yu, Junfei Qiao
Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process. Eng. Appl. Artif. Intell. 137 (2024)
Cuili Yang, Sheng Yang, Jian Tang, Bing Li
Design and Application of Adaptive Sparse Deep Echo State Network. IEEE Trans. Consumer Electron. 70 (1) (2024)
Runyu Zhang, Jian Tang, Heng Xia, Xiaotong Pan, Wen Yu, Junfei Qiao
CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization. Neural Comput. Appl. 36 (10) (2024)
Heng Xia, Jian Tang, Wen Yu, Junfei Qiao
Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning. IEEE Trans. Ind. Informatics 20 (1) (2024)
Heng Xia, Jian Tang, Wen Yu, Junfei Qiao
Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process. IEEE Trans. Ind. Electron. 71 (10) (2024)
Cuili Yang, Danlei Wang, Jian Tang, Junfei Qiao, Wen Yu
Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization. Inf. Sci. 652 (2024)
Heng Xia, Jian Tang, Runyu Zhang
Online Soft Sensing of Dioxin Emission Based on Fast Tree BLS and Robust PCA. SSCI (2023)
Canlin Cui, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor. IEEE Trans. Instrum. Meas. 72 (2023)
Canlin Cui, Jian Tang, Heng Xia, Junfei Qiao, Wen Yu
Virtual sample generation method based on generative adversarial fuzzy neural network. Neural Comput. Appl. 35 (9) (2023)
Cuili Yang, Sheng Yang, Jian Tang, Junfei Qiao, Wen Yu
-N Prediction in Wastewater Treatment Plants. IEEE Trans. Instrum. Meas. 72 (2023)
Xiaotong Pan, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
Combustion state identification of MSWI processes using ViT-IDFC. Eng. Appl. Artif. Intell. 126 (2023)
Hao-shan Duan, Xi Meng, Jian Tang, Jun-Fei Qiao
Time-series prediction using a regularized self-organizing long short-term memory neural network. Appl. Soft Comput. 145 (2023)
Heng Xia, Jian Tang, Wen Yu, Canlin Cui, Junfei Qiao
Takagi-Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling. IEEE Trans. Fuzzy Syst. 31 (7) (2023)
Runyu Zhang, Jian Tang, Heng Xia
Carbon Monoxide Emission Prediction Based on Concept Drift Detection Using KPCA for Municipal Solid Waste Incineration Processes. SSCI (2023)
Chaofan Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao
Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree. IEEE Trans. Instrum. Meas. 72 (2023)
Xi Meng, Jian Tang, Junfei Qiao
NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes. IEEE Trans. Ind. Informatics 18 (7) (2022)
Haijun He, Xi Meng, Jian Tang, Junfei Qiao
A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process. Neural Comput. Appl. 34 (12) (2022)
Heng Xia, Jian Tang, Junfei Qiao, Jian Zhang, Wen Yu
DF classification algorithm for constructing a small sample size of data-oriented DF regression model. Neural Comput. Appl. 34 (4) (2022)
Zhuo Liu, Tianyou Chai, Jian Tang, Wen Yu
Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum. Soft Comput. 26 (24) (2022)
Xiaotong Pan, Jian Tang, Heng Xia, Weitao Li, Haitao Guo
Combustion State Recognition Method in Municipal Solid Waste Incineration Processes Based on Improved Deep Forest. NCAA (1) (2022)
Jian Tang, Heng Xia, Jian Zhang, Junfei Qiao, Wen Yu
Deep forest regression based on cross-layer full connection. Neural Comput. Appl. 33 (15) (2021)
Jian Tang, Jian Zhang, Gang Yu, Wenping Zhang, Wen Yu
Multisource Latent Feature Selective Ensemble Modeling Approach for Small-Sample High-Dimensional Process Data in Applications. IEEE Access 8 (2020)
Jian Zhang, Jian Tang, Feng Wang
Cooperative Relay Selection for Load Balancing With Mobility in Hierarchical WSNs: A Multi-Armed Bandit Approach. IEEE Access 8 (2020)
Jian Tang, Junfei Qiao, Zhuo Liu, Xiaojie Zhou, Gang Yu, Jianjun Zhao
Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum. Soft Comput. 23 (16) (2019)
Jian Zhang, Tianbao Wang, Jian Tang
Optimising rendezvous-based data collection for target tracking in WSNs with mobile elements. Int. J. Sens. Networks 30 (4) (2019)
Jian Tang, Junfei Qiao, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu
Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model. Neurocomputing 275 (2018)
Jian Tang, Jun-Fei Qiao, Wen Yu
Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application. ICIA (2018)
Jian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan
Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model. ICONIP (1) (2017)
Jian Tang, Jian Zhang, Zhiwei Wu, Zhuo Liu, Tianyou Chai, Wen Yu
Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm. Neurocomputing 219 (2017)
Jian Tang, Meijuan Jia, Jian Zhang, Meiying Jia
On-Line Intrusion Detection Model Based on Approximate Linear Dependent Condition with Linear Latent Feature Extraction. ICCCS (2) (2017)
Jian Tang, Jun-Fei Qiao, Zhuo Liu, Tianyou Chai, Wen Yu
. ICIA (2017)
Jian Zhang, Jian Tang, Tianbao Wang, Fei Chen
Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks. Int. J. Sens. Networks 23 (4) (2017)
Jian Tang, Tianyou Chai, Si-Zhao Joe Qin, Zhuo Liu, Wen Yu
Feature selection based on concurrent projection to latent structures for high dimensional spectra data. ICIA (2016)
Jian Zhang, Jian Tang, Fei Chen
Energy-Efficient Data Collection Algorithms Based on Clustering for Mobility-Enabled Wireless Sensor Networks. ICCCS (2) (2016)
Jian Tang, Zhuo Liu, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu
Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device. Neurocomputing 216 (2016)
Jian Tang, Tianyou Chai, Wen Yu, Zhuo Liu, Xiaojie Zhou
A Comparative Study That Measures Ball Mill Load Parameters Through Different Single-Scale and Multiscale Frequency Spectra-Based Approaches. IEEE Trans. Ind. Informatics 12 (6) (2016)
Zhuo Liu, Tianyou Chai, Wen Yu, Jian Tang
Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation. Neurocomputing 169 (2015)
Jian Tang, Meiying Jia, Zhuo Liu, Tianyou Chai, Wen Yu
Modeling high dimensional frequency spectral data based on virtual sample generation technique. ICIA (2015)
Jian Tang, Yi Kan, Zhuo Liu, Tianyou Chai
Modeling load parameters of ball mill using frequency spectral features based on Hilbert vibration decomposition. ICIA (2014)
Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao
Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information. IEEE Trans Autom. Sci. Eng. 10 (3) (2013)
Lijie Zhao, Jian Tang, Tianyou Chai
Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines. ISNN (1) (2012)
Jian Tang, Wen Yu, Tianyou Chai, Lijie Zhao
On-line principal component analysis with application to process modeling. Neurocomputing 82 (2012)
Jian Tang, Lijie Zhao, Yi-miao Li, Tianyou Chai, Si-Zhao Joe Qin
Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters. ISNN (2) (2012)
Jian Tang, Dianhui Wang, Tianyou Chai
Predicting mill load using partial least squares and extreme learning machines. Soft Comput. 16 (9) (2012)
Jian Tang, Lijie Zhao, Jia Long, Tianyou Chai, Wen Yu
Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal. ISNN (1) (2012)
Jian Tang, Tianyou Chai, Lijie Zhao, Wen Yu, Heng Yue
Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm. Neurocomputing 78 (1) (2012)
Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao, Si-Zhao Joe Qin
KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling. CDC/ECC (2011)
Lijie Zhao, Decheng Yuan, Jian Tang, Wei Wang, Tianyou Chai
Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices. J. Softw. 6 (6) (2011)
Jian Tang, Wen Yu, Lijie Zhao, Heng Yue, Tianyou Chai
Modeling of operating parameters for wet ball mill by modified GA-KPLS. IWACI (2010)
Lijie Zhao, Jian Tang, Wen Yu, Heng Yue, Tianyou Chai
Modelling of mill load for wet ball mill via GA and SVM based on spectral feature. BIC-TA (2010)