Coordinated Optimization for the Descent Gradient of Technical Index in the Iron Removal Process. - Shiwen Xie; Yongfang Xie; Tingwen Huang; Weihua Gui 001; Chunhua Yang 001 (IEEE Trans. Cybern., 2018)

A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants. - Shiwen Xie; Yongfang Xie; Hao Ying 001; Weihua Gui 001; Chunhua Yang 001 (IEEE Trans. Ind. Informatics, 2018)

Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics. - Shiwen Xie; Yongfang Xie; Fanbiao Li; Zhaohui Jiang 001; Weihua Gui 001 (Neurocomputing, 2019)

Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant. - Mingxi Ai; Yongfang Xie; Shiwen Xie; Fanbiao Li; Weihua Gui 001 (J. Frankl. Inst., 2019)

On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network. - Yongfang Xie; Jinjing Yu; Shiwen Xie; Tingwen Huang; Weihua Gui 001 (Neural Networks, 2019)

Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network. - Shiwen Xie; Yongfang Xie; Tingwen Huang; Weihua Gui 001; Chunhua Yang 001 (IEEE Trans. Ind. Electron., 2019)

Fuzzy association rule-based set-point adaptive optimization and control for the flotation process. - Mingxi Ai; Yongfang Xie; Shiwen Xie; Jin Zhang 005; Weihua Gui 001 (Neural Comput. Appl., 2020)

Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant. - Shiwen Xie; Yongfang Xie; Hao Ying 001; Zhaohui Jiang 001; Weihua Gui 001 (IEEE Trans. Ind. Electron., 2020)

Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor. - Shiwen Xie; Yongfang Xie; Fanbiao Li; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment. - Shiwen Xie; Yongfang Xie; Tingwen Huang; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2021)

Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions. - Jie Wang 150; Yongfang Xie; Shiwen Xie; Xiaofang Chen (Appl. Intell., 2022)

Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial. - Jiwen Li; Shiwen Xie; Yongfang Xie; Xiaofang Chen; Xi Chen (ICONIP (7), 2023)

Surface Defect Detection Algorithm Based on Feature-Enhanced YOLO. - Yongfang Xie; Weitao Hu; Shiwen Xie; Lei He 010 (Cogn. Comput., 2023)

Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process. - Ziqing Deng; Xiaofang Chen; Shiwen Xie; Yongfang Xie; Hongliang Zhang (IEEE Trans. Ind. Informatics, 2023)

Structure-Preserving Texture Smoothing via Scale-Aware Bilateral Total Variation. - Lei He 010; Yongfang Xie; Shiwen Xie; Zhipeng Chen 002 (IEEE Trans. Circuits Syst. Video Technol., 2023)

A dynamic spatial distributed information clustering method for aluminum electrolysis cell. - Yubo Sun; Weihua Gui 001; Xiaofang Chen; Yongfang Xie; Shiwen Xie; Zhong Zou (Eng. Appl. Artif. Intell., 2023)

Operational Decision-Making Optimization of Aluminum Electrolysis Process Based on Health Evaluation of Aluminum Electrolytic Cell. - Jie Wang 150; Yongfang Xie; Shiwen Xie; Xiaofang Chen (CIS-RAM, 2024)

Development of data-knowledge-driven predictive model and multi-objective optimization for intelligent optimal control of aluminum electrolysis process. - Jie Wang 150; Yongfang Xie; Shiwen Xie; Xiaofang Chen (Eng. Appl. Artif. Intell., 2024)

MAR-GSA: Mixed attraction and repulsion based gravitational search algorithm. - Zhiqiang Qian; Yongfang Xie; Shiwen Xie (Inf. Sci., 2024)

Interval type-2 fuzzy stochastic configuration networks for soft sensor modeling of industrial processes. - Changqing Yuan; Yongfang Xie; Shiwen Xie; Zhaohui Tang (Inf. Sci., 2024)

Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process. - Jie Wang 150; Yongfang Xie; Shiwen Xie; Xiaofang Chen (IEEE Trans. Instrum. Meas., 2024)

Unsupervised heat balance indicator construction based on variational autoencoder and its application to aluminum electrolysis process monitoring. - Jie Wang 150; Shiwen Xie; Yongfang Xie; Xiaofang Chen (Eng. Appl. Artif. Intell., 2024)

Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes. - Yongfang Xie; Jie Wang 150; Shiwen Xie; Xiaofang Chen (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling. - Jie Wang 150; Shiwen Xie; Yongfang Xie; Xiaofang Chen (IEEE Trans. Ind. Informatics, 2024)

TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes. - Shiwen Xie; Yongfang Xie; Tingwen Huang (IEEE Trans. Ind. Informatics, 2024)

Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process. - Jie Wang 150; Shiwen Xie; Yongfang Xie; Xiaofang Chen (IEEE Trans Autom. Sci. Eng., 2024)

Iterative Self-Guided Image Filtering. - Lei He 010; Yongfang Xie; Shiwen Xie; Zhaohui Jiang 001; Zhipeng Chen 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

SFACIF: A safety function attack and anomaly industrial condition identified framework. - Kaixiang Liu; Yongfang Xie; Yuqi Chen 001; Shiwen Xie; Xin Chen; Dongliang Fang; Limin Sun 001 (Comput. Networks, 2025)

SGCF: An MPC-Inspired Control Framework Using Sequence Generation Networks for Flotation Process. - Zhiqiang Qian; Yongfang Xie; Shiwen Xie; Zhaohui Tang (IEEE Trans Autom. Sci. Eng., 2025)

SecureSIS: Securing SIS Safety Functions With Safety Attributes and BPCS Information. - Kaixiang Liu; Yongfang Xie; Shiwen Xie; Yuqi Chen 001; Xin Chen; Limin Sun 001; Zhiwen Pan (IEEE Trans. Inf. Forensics Secur., 2025)

Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure. - Jie Wang 150; Shiwen Xie; Yongfang Xie; Xiaofang Chen (J. Intell. Manuf., 2025)

Fusion of deep feature and apparent feature for flotation grade prediction based on apparent information guidance encoder-decoder network. - Yuming Wu; Yongfang Xie; Shiwen Xie; Zongze Wu; Zhaohui Tang (Inf. Fusion, 2026)