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Heng Xia

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2020 – today

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2024
[j15]
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  - journals/eaai/XuTXYQ24
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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)
[j14]
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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)
[j13]
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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)
[j12]
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  - journals/nca/ZhangTXPYQ24
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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)
[j11]
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  - journals/tie/XiaTYQ24
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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)
[j10]
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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)
[j9]
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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)
[j8]
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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
[j7]
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  - journals/eaai/PanTXYQ23
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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)
[j6]
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  - journals/nca/CuiTXQY23
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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)
[j5]
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  - journals/tfs/Xia00C023
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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)
[j4]
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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)
[j3]
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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)
[c4]
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  - conf/ssci/ZhangTX23
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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
[c3]
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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
[j2]
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  - journals/nca/XiaTQZY22
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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)
[c2]
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  - conf/ncaa/Pan0XLG22
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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
[j1]
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  - journals/nca/TangXZQY21
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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)

2010 – 2019

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2012
[c1]
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  - conf/icdma/NiuXZLH12
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Yan Niu, Heng Xia, Yingjiang Zhang, Jun Li, Xuesong Huang:
Study on Training of ODC Talents through School-Enterprise Cooperation. ICDMA 2012: 863-866

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