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2020 – today
- 2024
[j25]Jie Wang
, Shiwen Xie, Yongfang Xie, Xiaofang Chen:
Unsupervised heat balance indicator construction based on variational autoencoder and its application to aluminum electrolysis process monitoring. Eng. Appl. Artif. Intell. 127(Part A): 107237 (2024)- [j24]Jie Wang, Yongfang Xie, Shiwen Xie, Xiaofang Chen:
Development of data-knowledge-driven predictive model and multi-objective optimization for intelligent optimal control of aluminum electrolysis process. Eng. Appl. Artif. Intell. 134: 108664 (2024) - [j23]Zhiqiang Qian, Yongfang Xie, Shiwen Xie:
MAR-GSA: Mixed attraction and repulsion based gravitational search algorithm. Inf. Sci. 662: 120250 (2024) - [j22]Changqing Yuan, Yongfang Xie, Shiwen Xie, Zhaohui Tang:
Interval type-2 fuzzy stochastic configuration networks for soft sensor modeling of industrial processes. Inf. Sci. 679: 121073 (2024) - [j21]Jie Wang, Shiwen Xie, Yongfang Xie, Xiaofang Chen:
Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process. IEEE Trans Autom. Sci. Eng. 21(2): 1284-1296 (2024) - [j20]Lei He, Yongfang Xie, Shiwen Xie, Zhaohui Jiang, Zhipeng Chen:
Iterative Self-Guided Image Filtering. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7537-7549 (2024) - [j19]Jie Wang, Shiwen Xie, Yongfang Xie, Xiaofang Chen:
A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling. IEEE Trans. Ind. Informatics 20(3): 3050-3059 (2024) - [j18]Shiwen Xie, Yongfang Xie, Tingwen Huang:
TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes. IEEE Trans. Ind. Informatics 20(3): 4919-4929 (2024) - [j17]Jie Wang, Yongfang Xie, Shiwen Xie, Xiaofang Chen:
Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j16]Yongfang Xie, Jie Wang, Shiwen Xie, Xiaofang Chen:
Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 972-984 (2024) - 2023
- [j15]Yongfang Xie, Weitao Hu, Shiwen Xie, Lei He:
Surface Defect Detection Algorithm Based on Feature-Enhanced YOLO. Cogn. Comput. 15(2): 565-579 (2023) - [j14]Yubo Sun, Weihua Gui, Xiaofang Chen, Yongfang Xie, Shiwen Xie, Zhong Zou:
A dynamic spatial distributed information clustering method for aluminum electrolysis cell. Eng. Appl. Artif. Intell. 126: 106793 (2023) - [j13]Lei He, Yongfang Xie, Shiwen Xie, Zhipeng Chen:
Structure-Preserving Texture Smoothing via Scale-Aware Bilateral Total Variation. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1493-1506 (2023) - [j12]Ziqing Deng, Xiaofang Chen, Shiwen Xie, Yongfang Xie, Hongliang Zhang:
Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process. IEEE Trans. Ind. Informatics 19(3): 3119-3132 (2023) - [c1]Jiwen Li, Shiwen Xie, Yongfang Xie, Xiaofang Chen, Xi Chen:
Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial. ICONIP (7) 2023: 396-406 - 2022
- [j11]Jie Wang, Yongfang Xie, Shiwen Xie, Xiaofang Chen:
Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions. Appl. Intell. 52(9): 10161-10180 (2022) - 2021
- [j10]Shiwen Xie, Yongfang Xie, Tingwen Huang, Weihua Gui:
Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment. IEEE Trans. Ind. Informatics 17(1): 569-577 (2021) - 2020
- [j9]Mingxi Ai, Yongfang Xie, Shiwen Xie, Jin Zhang, Weihua Gui:
Fuzzy association rule-based set-point adaptive optimization and control for the flotation process. Neural Comput. Appl. 32(17): 14019-14029 (2020) - [j8]Shiwen Xie, Yongfang Xie, Hao Ying, Zhaohui Jiang, Weihua Gui:
Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant. IEEE Trans. Ind. Electron. 67(3): 2207-2219 (2020) - [j7]Shiwen Xie, Yongfang Xie, Fanbiao Li, Chunhua Yang, Weihua Gui:
Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor. IEEE Trans. Syst. Man Cybern. Syst. 50(7): 2408-2420 (2020)
2010 – 2019
- 2019
- [j6]Shiwen Xie, Yongfang Xie, Fanbiao Li, Zhaohui Jiang, Weihua Gui:
Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics. Neurocomputing 366: 170-177 (2019) - [j5]Mingxi Ai, Yongfang Xie, Shiwen Xie, Fanbiao Li, Weihua Gui:
Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant. J. Frankl. Inst. 356(12): 5944-5960 (2019) - [j4]Yongfang Xie, Jinjing Yu, Shiwen Xie, Tingwen Huang, Weihua Gui:
On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network. Neural Networks 116: 1-10 (2019) - [j3]Shiwen Xie, Yongfang Xie, Tingwen Huang, Weihua Gui, Chunhua Yang:
Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network. IEEE Trans. Ind. Electron. 66(2): 1192-1202 (2019) - 2018
- [j2]Shiwen Xie, Yongfang Xie, Tingwen Huang, Weihua Gui, Chunhua Yang:
Coordinated Optimization for the Descent Gradient of Technical Index in the Iron Removal Process. IEEE Trans. Cybern. 48(12): 3313-3322 (2018) - [j1]Shiwen Xie, Yongfang Xie, Hao Ying, Weihua Gui, Chunhua Yang:
A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants. IEEE Trans. Ind. Informatics 14(12): 5278-5288 (2018)
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