default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJian Tang 0003
Person information
- affiliation: Beijing University of Technology, College of Electronic and Control Engineering, China
- affiliation (PhD 2012): Northeastern University, Shenyang, China
Other persons with the same name
- Jian Tang — disambiguation page
- Jian Tang 0001 — Memorial University of Newfoundland, Department of Computer Science, St. John's, Canada
- Jian Tang 0002
![[0000-0003-2458-6475]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2458-6475")
— Lanzhou University, School of Mathematics and Statistics, China (and 2 more) - Jian Tang 0004 — Wuhan University, GNSS Research Center, China (and 1 more)
- Jian Tang 0005 — HEC Montreal, QC, Canada (and 4 more)
- Jian Tang 0006 — Quzhou University, College of Mechanical Engineering, China
- Jian Tang 0007 — Sun Yat-sen University, School of Electronics and Information Engineering, Guangzhou, China
- Jian Tang 0008 — Midea Group Co Ltd, Foshan, China (and 3 more)
- Jian Tang 0009 — Central University of Finance and Economics, School of Information, Beijing, China
- Jian Tang 0010 — Technical University of Madrid, Spain
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j40]Aijun Yan, Kaicheng Hu, Dianhui Wang, Jian Tang:
Robust multi-target regression with improved stochastic configuration networks and its applications. Inf. Sci. 689: 121480 (2025)- 2024
- [j39]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: 108772 (2024) - [j38]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: 109157 (2024) - [j37]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): 122015 (2024) - [j36]Tianzheng Wang, Jian Tang, Heng Xia, Loai Aljerf, Runyu Zhang, Hao Tian, Mulugeta Legesse Akele:
Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization. Expert Syst. Appl. 257: 125015 (2024) - [j35]Cuili Yang, Danlei Wang, Jian Tang, Junfei Qiao, Wen Yu:
Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization. Inf. Sci. 652: 119495 (2024) - [j34]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): 5473-5498 (2024) - [j33]Cuili Yang, Sheng Yang, Jian Tang, Bing Li:
Design and Application of Adaptive Sparse Deep Echo State Network. IEEE Trans. Consumer Electron. 70(1): 3582-3592 (2024) - [j32]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): 13221-13231 (2024) - [j31]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): 358-368 (2024) - [j30]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): 7173-7182 (2024) - [j29]Heng Xia, Jian Tang, Xiaotong Pan, Wen Yu, Junfei Qiao:
Multimodal Data-Driven Interpretable Deep Modeling Approach of Dioxins Generation for Municipal Solid Waste Incineration Processes. IEEE Trans. Instrum. Meas. 73: 1-18 (2024) - [j28]Heng Xia, Jian Tang, Wen Yu, Junfei Qiao:
Tree Broad Learning System for Small Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8909-8923 (2024) - 2023
- [j27]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: 110553 (2023) - [j26]Xiaotong Pan, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao:
Combustion state identification of MSWI processes using ViT-IDFC. Eng. Appl. Artif. Intell. 126: 106893 (2023) - [j25]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): 6979-7001 (2023) - [j24]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): 2210-2224 (2023) - [j23]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: 1-13 (2023) - [j22]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: 1-14 (2023) - [j21]Cuili Yang, Sheng Yang, Jian Tang, Junfei Qiao, Wen Yu:
Evolving Deep Delay Echo State Network for Effluent NH4-N Prediction in Wastewater Treatment Plants. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c18]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: 170-173 - [c17]Heng Xia, Jian Tang, Runyu Zhang:
Online Soft Sensing of Dioxin Emission Based on Fast Tree BLS and Robust PCA. SSCI 2023: 174-179 - 2022
- [j20]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): 2785-2810 (2022) - [j19]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): 9759-9776 (2022) - [j18]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): 13467-13484 (2022) - [j17]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): 4622-4631 (2022) - [c16]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: 71-84 - 2021
- [j16]Jian Tang, Heng Xia, Jian Zhang, Junfei Qiao, Wen Yu:
Deep forest regression based on cross-layer full connection. Neural Comput. Appl. 33(15): 9307-9328 (2021) - 2020
- [j15]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: 18110-18122 (2020) - [j14]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: 148475-148488 (2020)
2010 – 2019
- 2019
- [j13]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): 218-230 (2019) - [j12]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): 7263-7278 (2019) - 2018
- [j11]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: 1426-1440 (2018) - [c15]Jian Tang, Jun-Fei Qiao, Wen Yu:
Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application. ICIA 2018: 99-104 - 2017
- [j10]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: 248-262 (2017) - [j9]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): 248-257 (2017) - [c14]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: 336-345 - [c13]Jian Tang, Jun-Fei Qiao, Zhuo Liu, Tianyou Chai, Wen Yu:
Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data1. ICIA 2017: 909-914 - [c12]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: 576-585 - 2016
- [j8]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: 296-309 (2016) - [j7]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): 2008-2019 (2016) - [c11]Jian Zhang, Jian Tang, Fei Chen:
Energy-Efficient Data Collection Algorithms Based on Clustering for Mobility-Enabled Wireless Sensor Networks. ICCCS (2) 2016: 180-191 - [c10]Jian Tang, Liu Zhuo, Meiying Jia, Chunlai Sun, Chaowen Shi:
Supervised Nonlinear Latent Feature Extraction and Regularized Random Weights Neural Network Modeling for Intrusion Detection System. ICCCS (1) 2016: 343-354 - [c9]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: 234-239 - 2015
- [j6]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: 392-402 (2015) - [c8]Jian Tang, Meiying Jia, Zhuo Liu, Tianyou Chai, Wen Yu:
Modeling high dimensional frequency spectral data based on virtual sample generation technique. ICIA 2015: 1090-1095 - 2014
- [c7]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: 1055-1060 - 2013
- [j5]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): 726-740 (2013) - 2012
- [j4]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): 38-47 (2012) - [j3]Jian Tang, Wen Yu, Tianyou Chai, Lijie Zhao:
On-line principal component analysis with application to process modeling. Neurocomputing 82: 167-178 (2012) - [j2]Jian Tang, Dianhui Wang, Tianyou Chai:
Predicting mill load using partial least squares and extreme learning machines. Soft Comput. 16(9): 1585-1594 (2012) - [c6]Lijie Zhao, Jian Tang, Tianyou Chai:
Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines. ISNN (1) 2012: 29-36 - [c5]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: 82-91 - [c4]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: 489-497 - 2011
- [j1]Lijie Zhao, Decheng Yuan, Jian Tang, Wei Wang, Tianyou Chai:
Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices. J. Softw. 6(6): 1067-1074 (2011) - [c3]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: 5193-5198 - 2010
- [c2]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: 874-879 - [c1]Jian Tang, Wen Yu, Lijie Zhao, Heng Yue, Tianyou Chai:
Modeling of operating parameters for wet ball mill by modified GA-KPLS. IWACI 2010: 282-287
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-26 01:56 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
