Robust decentralized H∞ control of multi-channel discrete-time descriptor systems with time-delays. - Ning Chen 009; Weihua Gui 001; Yongfang Xie; Jinzhou Li (CDC, 2007)

Decentralized robust H∞ output feedback control for value bounded uncertain large-scale interconnected systems. - Weihua Gui 001; Can Huang; Yongfang Xie; Zhaohui Jiang 001; Chunhua Yang 001 (CDC, 2007)

Codewords Distribution-Based Optimal Combination of Equal-Average Equal-Variance Equal-Norm Nearest Neighbor Fast Search Algorithm for Vector Quantization Encoding. - Yong-Fang Xie; Jian-Hua Liu 001; Chang-Fan Zhang; Lingshuang Kong; Jiliang Yi (IEEE Trans. Image Process., 2016)

Guaranteed Cost Control for Descriptor Type-2 Fuzzy Systems With Stochastic Delay Distribution. - Xiaofan Liu; Fanbiao Li; Yongfang Xie; Chunhua Yang 001; Weihua Gui 001 (IEEE Access, 2017)

Optimal control of an SIVRS epidemic spreading model with virus variation based on complex networks. - Degang Xu; Xiyang Xu; Yongfang Xie; Chunhua Yang 001 (Commun. Nonlinear Sci. Numer. Simul., 2017)

Time-optimal state feedback stabilization of switched Boolean control networks. - Yong Ding 004; Yuqian Guo; Yongfang Xie; Chunhua Yang 001; Weihua Gui 001 (Neurocomputing, 2017)

Reagent Addition Control for Stibium Rougher Flotation Based on Sensitive Froth Image Features. - Yongfang Xie; Jia Wu 006; Degang Xu; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Electron., 2017)

A Multi-granular Hierarchical Evaluation Model for Multiple Criteria Three Sorting. - Hong Yu 007; Zuoyu Sun; Guoyin Wang 001; Jie Li 002; Yongfang Xie; Gang Guo (ICDM Workshops, 2018)

Finite-time formation of multiple agents based on multiple virtual leaders. - Zhifeng Qiu; Xintao Zhao; Siming Li; Yongfang Xie; Chaoyang Chen 001; Weihua Gui 001 (Int. J. Syst. Sci., 2018)

Temperature Measurement Method for Blast Furnace Molten Iron Based on Infrared Thermography and Temperature Reduction Model. - Dong Pan; Zhaohui Jiang 001; Zhipeng Chen 002; Weihua Gui 001; Yongfang Xie; Chunhua Yang 001 (Sensors, 2018)

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)

Flotation Fault Diagnosis Method Using Statistical Approaches. - Jin Zhang 005; Zhaohui Tang; Yongfang Xie; Mingxi Ai; Weihua Gui 001 (CBD, 2019)

A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application. - Yongxiang Lei; Lihui Cen; Xiaofang Chen; Yongfang Xie (IEEE Access, 2019)

Two-Stage Control of Endpoint Temperature for Pebble Stove Combustion. - Haifeng Zhang; Zhaohui Jiang 001; Zhipeng Chen 002; Weihua Gui 001; Yongfang Xie; Chunhua Yang 001 (IEEE Access, 2019)

Admissible H∞ control of linear descriptor multi-agent systems with external disturbances. - Xiaofan Liu; Yongfang Xie; Fanbiao Li; Tingwen Huang; Weihua Gui 001; Wenbo Li 005 (Neurocomputing, 2019)

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)

Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process. - Chunhua Yang 001; Longfei Zhou; Keke Huang; Hongquan Ji; Cheng Long 001; Xiaofang Chen; Yongfang Xie (Neurocomputing, 2019)

A novel modularity-based discrete state transition algorithm for community detection in networks. - Xiaojun Zhou; Ke Yang; Yongfang Xie; Chunhua Yang 001; Tingwen Huang (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)

Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS. - Weichao Yue; Weihua Gui 001; Xiaofang Chen; Zhaohui Zeng; Yongfang Xie (Int. J. Mach. Learn. Cybern., 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)

Temperature Measurement and Compensation Method of Blast Furnace Molten Iron Based on Infrared Computer Vision. - Dong Pan; Zhaohui Jiang 001; Zhipeng Chen 002; Weihua Gui 001; Yongfang Xie; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2019)

Time-varying formation control of singular multi-agent systems with multiple leaders. - Xiaofan Liu; Yongfang Xie; Fanbiao Li; Chunhua Yang 001 (ICCA, 2020)

STA-APSNFIS: STA-Optimized Adaptive Pre-Sparse Neuro-Fuzzy Inference System for Online Soft Sensor Modeling. - Jinping Liu; Churong Jiang; Jiezhou He; Zhaohui Tang; Yongfang Xie; Pengfei Xu 007 (IEEE Access, 2020)

FoGDbED: Fractional-order Gaussian derivatives-based edge-relevant structure detection using Caputo-Fabrizio definition. - Guoyong Zhang; Jinping Liu; Jie Wang 150; Zhaohui Tang; Yongfang Xie; Junbin He; Tianyu Ma; Jean Paul Niyoyita (Digit. Signal Process., 2020)

Cross-Domain Recommendation Based on Sentiment Analysis and Latent Feature Mapping. - Yongpeng Wang; Hong Yu 007; Guoyin Wang 001; Yongfang Xie (Entropy, 2020)

Toward security monitoring of industrial Cyber-Physical systems via hierarchically distributed intrusion detection. - Jinping Liu; Wuxia Zhang; Tianyu Ma; Zhaohui Tang; Yongfang Xie; Weihua Gui 001; Jean Paul Niyoyita (Expert Syst. Appl., 2020)

Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection. - Jinping Liu; Wuxia Zhang; Zhaohui Tang; Yongfang Xie; Tianyu Ma; Jingjing Zhang; Guoyong Zhang; Jean Paul Niyoyita (Expert Syst. Appl., 2020)

A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification. - Yongxiang Lei; Xiaofang Chen; Mengcan Min; Yongfang Xie (Neurocomputing, 2020)

Classification of silicon content variation trend based on fusion of multilevel features in blast furnace ironmaking. - Ke Jiang; Zhaohui Jiang 001; Yongfang Xie; Zhipeng Chen 002; Dong Pan; Weihua Gui 001 (Inf. Sci., 2020)

Experiential knowledge representation and reasoning based on linguistic Petri nets with application to aluminum electrolysis cell condition identification. - Weichao Yue; Weihua Gui 001; Yongfang Xie (Inf. Sci., 2020)

Dynamic uncertain causality graph based on cloud model theory for knowledge representation and reasoning. - Li Li 080; Yongfang Xie; Xiaofang Chen; Weichao Yue; Zhaohui Zeng (Int. J. Mach. Learn. Cybern., 2020)

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)

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis. - Zhaoke Huang; Chunhua Yang 001; Xiaofang Chen; Keke Huang; Yongfang Xie (Neural Comput. Appl., 2020)

Cooperative output regulation of singular multi-agent systems under adaptive distributed protocol and general entirety method. - Xiaofan Liu; Yongfang Xie; Fanbiao Li; Weihua Gui 001 (Syst. Control. Lett., 2020)

Toward Flotation Process Operation-State Identification via Statistical Modeling of Biologically Inspired Gabor Filtering Responses. - Jinping Liu; Jiaming Zhou; Zhaohui Tang; Weihua Gui 001; Yongfang Xie; Jiezhou He; Tianyu Ma; Jean Paul Niyoyita (IEEE Trans. Cybern., 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)

A Similarity-Based Burst Bubble Recognition Using Weighted Normalized Cross Correlation and Chamfer Distance. - Hu Zhang 006; Zhaohui Tang; Yongfang Xie; Xiaoliang Gao; Qing Chen; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2020)

Online Monitoring of Flotation Froth Bubble-Size Distributions via Multiscale Deblurring and Multistage Jumping Feature-Fused Full Convolutional Networks. - Jinping Liu; Quanquan Gao; Zhaohui Tang; Yongfang Xie; Weihua Gui 001; Tianyu Ma; Jean Paul Niyoyita (IEEE Trans. Instrum. Meas., 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)

Study on Differential Expression Genes in HCC Based on GEO Database. - Yani Zhao; Yongfang Xie (BIC, 2021)

Estimating the Alumina Concentration During Aluminum Electrolysis by Identifying the Sensitive Frequency Band Using Marginal Kurtosis. - Zhaohui Zeng; Weihua Gui 001; Lihui Cen; Xiaofang Chen; Yongfang Xie (IEEE Access, 2021)

Attention-based novel neural network for mixed frequency data. - Xiangpeng Li; Hong Yu 007; Yongfang Xie; Jie Li 002 (CAAI Trans. Intell. Technol., 2021)

Deep learning feature-based setpoint generation and optimal control for flotation processes. - Mingxi Ai; Yongfang Xie; Zhaohui Tang; Jin Zhang 005; Weihua Gui 001 (Inf. Sci., 2021)

A method for root cause diagnosis with picture fuzzy sets based dynamic uncertain causality graph. - Li Li 080; Yongfang Xie; Xiaofang Chen (J. Intell. Fuzzy Syst., 2021)

An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine. - Yongxiang Lei; Xiaofang Chen; Yongfang Xie (J. Syst. Control. Eng., 2021)

Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure. - Jinping Liu; Hui Liu; Subo Gong; Zhaohui Tang; Yongfang Xie; Huazhan Yin; Jean Paul Niyoyita (Medical Image Anal., 2021)

Knowledge representation and reasoning with industrial application using interval-valued intuitionistic fuzzy Petri nets and extended TOPSIS. - Weichao Yue; Xiao Liu; Sanyi Li; Weihua Gui 001; Yongfang Xie (Int. J. Mach. Learn. Cybern., 2021)

Illumination-Invariant Flotation Froth Color Measuring via Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint. - Jinping Liu; Jiezhou He; Yongfang Xie; Weihua Gui 001; Zhaohui Tang; Tianyu Ma; Junbin He; Jean Paul Niyoyita (IEEE Trans. Cybern., 2021)

A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications. - Keke Huang; Yiming Wu; Chen Wang 018; Yongfang Xie; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2021)

Learning Local Gabor Pattern-Based Discriminative Dictionary of Froth Images for Flotation Process Working Condition Monitoring. - Jinping Liu; Shuangshuang Zhao; Yongfang Xie; Weihua Gui 001; Zhaohui Tang; Tianyu Ma; Jean Paul Niyoyita (IEEE Trans. Ind. Informatics, 2021)

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)

Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation. - Hu Zhang 006; Zhaohui Tang; Yongfang Xie; Qing Chen; Xiaoliang Gao; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2021)

Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues. - Mingxi Ai; Yongfang Xie; Zhaohui Tang; Jin Zhang 005; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2021)

Velocity Measurement of Blast Furnace Molten Iron Based on Mixed Morphological Features of Boundary Pixel Sets. - Lei He 010; Zhaohui Jiang 001; Yongfang Xie; Zhipeng Chen 002; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2021)

Mass Flow Measurement of Molten Iron From Blast Furnace, Based on Trusted Region Stacking Using Single High-Speed Camera. - Lei He 010; Zhaohui Jiang 001; Yongfang Xie; Weihua Gui 001; Zhipeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation. - Jin Luo; Zhaohui Tang; Hu Zhang 006; Ying Fan; Yongfang Xie (IEEE Trans. Instrum. Meas., 2021)

RPI-SURF: A Feature Descriptor for Bubble Velocity Measurement in Froth Flotation With Relative Position Information. - Hu Zhang 006; Zhaohui Tang; Yongfang Xie; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2021)

Grouped Time Series Networks for Grade Monitoring of Zinc Tailings With Multisource Features. - Hu Zhang 006; Zhaohui Tang; Yongfang Xie; Guoyong Zhang; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2021)

Admissible Consensus for Homogenous Descriptor Multiagent Systems. - Xiaofan Liu; Yongfang Xie; Fanbiao Li; Weihua Gui 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A novel cause analysis approach of grey reasoning Petri net based on matrix operations. - Li Li 080; Yongfang Xie; Lihui Cen; Zhaohui Zeng (Appl. Intell., 2022)

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)

A Multi-objective optimization algorithm based on dynamic user-preference information. - Hong Yu 007; Zhao Fu; Guoyin Wang 001; Yongfang Xie; Jie Li 002 (Computing, 2022)

Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control. - Jin Zhang 005; Zhaohui Tang; Yongfang Xie; Mingxi Ai; Weihua Gui 001 (Expert Syst. Appl., 2022)

Toward robust process monitoring of complex process industries based on denoising sparse auto-encoder. - Jinping Liu; Juanjuan Wu; Yongfang Xie; Wang Jie; Pengfei Xu 007; Zhaohui Tang; Huazhan Yin (J. Ind. Inf. Integr., 2022)

A novel multiple temporal-spatial convolution network for anode current signals classification. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie (Int. J. Mach. Learn. Cybern., 2022)

A temporal-attribute attention neural network for mixed frequency data forecasting. - Peng Wu; Hong Yu 007; Feng Hu 001; Yongfang Xie (Int. J. Mach. Learn. Cybern., 2022)

Sliding-Mode-Based Admissible Consensus Tracking of Nonlinear Singular Multiagent Systems Under Jointly Connected Topologies. - Xiaofan Liu; Yongfang Xie; Fanbiao Li; Weihua Gui 001 (IEEE Trans. Cybern., 2022)

Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders. - Ke Jiang; Zhaohui Jiang 001; Yongfang Xie; Dong Pan; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2022)

Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process. - Hu Zhang 006; Zhaohui Tang; Yongfang Xie; He Yuan; Qing Chen; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2022)

Prediction of Multiple Molten Iron Quality Indices in the Blast Furnace Ironmaking Process Based on Attention-Wise Deep Transfer Network. - Ke Jiang; Zhaohui Jiang 001; Yongfang Xie; Dong Pan; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2022)

Operating Condition Recognition in Zinc Flotation Using Statistic and Temporal Correlation Features. - Can Tian; Zhaohui Tang; Hu Zhang 006; Yongfang Xie (IEEE Trans. Instrum. Meas., 2022)

A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification. - Hong Yu 007; Qian Yang; Guoyin Wang 001; Yongfang Xie (IEEE Trans. Knowl. Data Eng., 2022)

Frame-Dilated Convolutional Fusion Network and GRU-Based Self-Attention Dual-Channel Network for Soft-Sensor Modeling of Industrial Process Quality Indexes. - Jinping Liu; Jiezhou He; Zhaohui Tang; Yongfang Xie; Weihua Gui 001; Tianyu Ma; Hadi Jahanshahi; Ayman A. Aly (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Disturbance-Encoding-Based Neural Hammerstein-Wiener Model for Industrial Process Predictive Control. - Jin Zhang 005; Zhaohui Tang; Yongfang Xie; Fanbiao Li; Mingxi Ai; Guoyong Zhang; Weihua Gui 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification : Extended abstract. - Hong Yu 007; Qian Yang; Guoyin Wang 001; Yongfang Xie (ICDE, 2023)

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)

Fully distributed adaptive time-varying formation control of singular multiagent systems. - Xiaofan Liu; Xianxiang Wu; Yongfang Xie; Baolong Guo 001; Jingchi Yan (Neurocomputing, 2023)

Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier. - Jinping Liu; Longcheng Xu; Yongfang Xie; Tianyu Ma; Jie Wang 150; Zhaohui Tang; Weihua Gui 001; Huazhan Yin; Hadi Jahanshahi (IEEE Trans. Cybern., 2023)

Toward Automated Right Ventricle Segmentation via Edge Feature-Induced Self-Attention Multiscale Feature Aggregation Full Convolution Network. - Jinping Liu; Mengke Li; Quanquan Gao; Subo Gong; Zhaohui Tang; Yongfang Xie; Ardashir Mohammadzadeh (IEEE Trans. Instrum. Meas., 2023)

Semisupervised Contrastive Memory Network for Industrial Process Working Condition Monitoring. - Zhaohui Tang; Jin Zhang 005; Yongfang Xie; Steven X. Ding; Mingxi Ai (IEEE Trans. Instrum. Meas., 2023)

Population-based discrete state transition algorithm with decomposition and knowledge guidance applied to electrolytic cell maintenance decision. - Jue Shi; Xiaofang Chen; Yongfang Xie; Hongliang Zhang; Yubo Sun (Appl. Soft Comput., 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)

Structure-preserving texture smoothing with scale-aware intensity aggregation structure measurement. - Lei He 010; Zhaohui Jiang 001; Yongfang Xie; Zhipeng Chen 002 (Digit. Signal Process., 2023)

Root cause analysis for process industry using causal knowledge map under large group environment. - Weichao Yue; Jianing Chai; Xiaoxue Wan; Yongfang Xie; Xiaofang Chen; Weihua Gui 001 (Adv. Eng. Informatics, 2023)

Consensus Tracking of Singular Multiagent Systems via Sliding-Mode Approach. - Xiaofan Liu; Yongfang Xie; Fanbiao Li; Weihua Gui 001 (IEEE Trans. Autom. Control., 2023)

Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring. - Mingxi Ai; Yongfang Xie; Steven X. Ding; Zhaohui Tang; Weihua Gui 001 (IEEE Trans. Ind. Electron., 2023)

A Binocular Camera Calibration Method in Froth Flotation Based on Key Frame Sequences and Weighted Normalized Tilt Difference. - Jin Luo; Zhaohui Tang; Hu Zhang 006; Ying Fan; Yongfang Xie; Weihua Gui 001 (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)

Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring. - Ziqing Deng; Xiaofang Chen; Yongfang Xie; Zhong Zou; Hongliang Zhang (Inf. Sci., 2023)

Multi-layer capsule network with joint dynamic routing for fire recognition. - Yuming Wu; Lihui Cen; Shichao Kan; Yongfang Xie (Image Vis. Comput., 2023)

ES-net: An Integration Model Based on Encoder-Decoder and Siamese Time Series Difference Network for Grade Monitoring of Zinc Tailings and Concentrate. - Hu Zhang 006; Zhaohui Tang; Yongfang Xie; Zeyang Yin; Weihua Gui 001 (IEEE Trans. Ind. Electron., 2023)

Eglcr: Edge Structure Guidance and Scale Adaptive Attention for Iterative Stereo Matching. - Zhien Dai; Zhaohui Tang; Hu Zhang 006; Can Tian; Mingjun Pan; Yongfang Xie (ACM Multimedia, 2024)

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)

Multi-generator adversarial dynamic spatial-temporal shapelet network for anode effect prediction in aluminum electrolysis process. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie (Adv. Eng. Informatics, 2024)

Prior knowledge-augmented unsupervised shapelet learning for unknown abnormal working condition discovery in industrial process. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie; Weihua Gui 001 (Adv. Eng. Informatics, 2024)

Failure mode and effect analysis with ORESTE method under large group probabilistic free double hierarchy hesitant linguistic environment. - Xiaoxue Wan; Lihui Cen; Weichao Yue; Yongfang Xie; Xiaofang Chen; Weihua Gui 001 (Adv. Eng. Informatics, 2024)

Consensus-based probabilistic hesitant intuitionistic linguistic Petri nets for knowledge-intensive work of superheat degree identification. - Weichao Yue; Lingfeng Hou; Xiaoxue Wan; Yongfang Xie; Xiaofang Chen; Weihua Gui 001 (Adv. Eng. Informatics, 2024)

Pulp grade monitoring using binocular image through multi-scale feature cross-attention fusion network and saliency map constraint. - Yuze Zhong; Zhaohui Tang; Hu Zhang 006; Zhien Dai; Zibang Nie; Yongfang Xie (Adv. Eng. Informatics, 2024)

A multi-granularity hierarchical network for long- and short-term forecasting on multivariate time series data. - Hong Yu 007; Zongqiang Wang; Yongfang Xie; Guoyin Wang 001 (Appl. Soft Comput., 2024)

An optimal and efficient hierarchical motion planner for industrial robots with complex constraints. - Longfei Zhang; Zeyang Yin; Xiaofang Chen; Yongfang Xie (Comput. Electr. Eng., 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)

A froth image segmentation method via generative adversarial networks with multi-scale self-attention mechanism. - Yuze Zhong; Zhaohui Tang; Hu Zhang 006; Yongfang Xie; Xiaoliang Gao (Multim. Tools Appl., 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)

Measurement of Froth-Layer Depth With Binocular Camera Based on Intensity Correction and Its Application to Pulp-Grade Monitoring. - Yuze Zhong; Zhaohui Tang; Hu Zhang 006; Yongfang Xie; Zhien Dai (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)

Small samples-oriented intrinsically explainable machine learning using Variational Bayesian Logistic Regression: An intensive care unit readmission prediction case for liver transplantation patients. - Jinping Liu; Xiaoqiang Wu; Yongming Xie; Zhaohui Tang; Yongfang Xie; Subo Gong (Expert Syst. Appl., 2024)

A Cooperative Silicon Content Dynamic Prediction Method With Variable Time Delay Estimation in the Blast Furnace Ironmaking Process. - Zhaohui Jiang 001; Ke Jiang; Yongfang Xie; Dong Pan; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 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)

Hybrid-driven BRBCS-BOM with expert intervention and its application for abnormity recognition in electrolytic cell. - Jue Shi; Xiaofang Chen; Yongfang Xie; Hongliang Zhang; Lihui Cen; Yubo Sun (Expert Syst. Appl., 2024)

Time-Varying Formation Control With Transient Performance for Multiagent Systems Under Jointly Connected Topologies. - Xiaofan Liu; Xianxiang Wu; Yongfang Xie; Baolong Guo 001 (IEEE Syst. J., 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)

Reinforcement Learning for Blast Furnace Ironmaking Operation With Safety and Partial Observation Considerations. - Ke Jiang; Zhaohui Jiang 001; Xudong Jiang 001; Yongfang Xie; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Delicately Reinforced k-Nearest Neighbor Classifier Combined With Expert Knowledge Applied to Abnormity Forecast in Electrolytic Cell. - Jue Shi; Xiaofang Chen; Yongfang Xie; Hongliang Zhang; Yubo Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion. - Yubo Sun; Weihua Gui 001; Xiaofang Chen; Yongfang Xie (Int. J. Mach. Learn. Cybern., 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)

Memory Shapelet Learning for Early Classification of Streaming Time Series. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie; Weihua Gui 001 (IEEE Trans. Cybern., 2024)

Dual-Rule-Based Weighted Fuzzy Interpolative Reasoning Module and Temporal Encoder-Decoder Bayesian Network for Reagent Addition Control. - Xiaoliang Gao; Zhaohui Tang; Yongfang Xie; Hu Zhang 006; Nongzhang Ding; Weihua Gui 001 (IEEE Trans. Fuzzy Syst., 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)

VSG3A2: A Genetic Algorithm-Based Virtual Sample Generation Approach Using Information Gain and Acceptance-Rejection Sampling. - Hong Yu 007; Xuekang Fan; Guoyin Wang 001; Yongfang Xie (IEEE Trans. Evol. Comput., 2024)

Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2024)

Multi-scale 4D localized spatio-temporal graph convolutional networks for spatio-temporal sequences forecasting in aluminum electrolysis. - Yubo Sun; Xiaofang Chen; Weihua Gui 001; Lihui Cen; Yongfang Xie; Zhong Zou (Adv. Eng. Informatics, 2025)

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)

Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization. - Mingxi Ai; Jin Zhang 005; Peng Li; Jiande Wu; Zhaohui Tang; Yongfang Xie (Eng. Appl. Artif. Intell., 2025)

Upstream process condition monitoring for froth flotation based on feature performance evaluation and parameter-mapped GRNN. - Xiaoliang Gao; Zhaohui Tang; Hu Zhang 006; Yongfang Xie; Weihua Gui 001 (Expert Syst. Appl., 2025)

Neural networks based finite-time cluster quasi-consensus for unknown nonlinear multi-agent systems with input saturations. - Jia Wu 006; Wentao Wang; Wenyan Tang; Yongfang Xie; Xiaohong Nian (Neurocomputing, 2025)

Physics-informed Koopman model predictive control of open canal systems. - Ningjun Zeng; Lihui Cen; Wentao Hou; Yongfang Xie; Xiaofang Chen (J. Ind. Inf. Integr., 2025)

Reagent Addition Control for Zinc First Rougher With a Dual FP Tree-Based Feature Setpoint Generator and Knowledge Core-Based Reagent Fine Presetting. - Xiaoliang Gao; Zhaohui Tang; Yongfang Xie; Hu Zhang 006; Nongzhang Ding; Weihua Gui 001 (IEEE Trans Autom. Sci. Eng., 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)

A Novel Temporal-Enhanced Dynamic Latent Variable Regression for Quality Prediction of Dynamic Processes. - Chao Yang 019; Qiang Liu 018; Lei Xing 002; Yongfang Xie (IEEE Trans. Instrum. Meas., 2025)

A Sentinel-Based Adaptive Hybrid Soft Sensing Method for Industrial Process Monitoring. - Jin Zhang 005; Mingxi Ai; Zhaohui Tang; Yongfang Xie; Jun Ma 009; Jiande Wu (IEEE Trans. Instrum. Meas., 2025)

Data-Efficient Soft Sensing Learning for Flotation Process Monitoring. - Jin Zhang 005; Mingxi Ai; Zhaohui Tang; Yongfang Xie; Jiande Wu; Jun Ma 009 (IEEE Trans. Instrum. Meas., 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)

Feature-Ensemble Model With an Adaptive Self-Ensemble Module for Feed-Grade Monitoring in Froth Flotation. - Xiaoliang Gao; Zhaohui Tang; Hu Zhang 006; Yongfang Xie; Nongzhang Ding; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2025)

Convertible Shapelet Learning With Incremental Learning Capability for Industrial Fault Diagnosis Under Shape Shift Samples. - Xiaoxue Wan; Lihui Cen; Xiaofang Chen; Yongfang Xie; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2025)

Multihorizon KPI Forecasting in Complex Industrial Processes: An Adaptive Encoder-Decoder Framework With Partial Teacher Forcing. - Hu Zhang 006; Zhaohui Tang; Yongfang Xie; Zhoushun Zheng; Weihua Gui 001 (IEEE Trans. Cybern., 2025)

LiNGAM-SF: Causal Structural Learning Method With Linear Non-Gaussian Acyclic Models for Streaming Features. - Chenglin Zhang; Hong Yu 007; Guoyin Wang 001; Yongfang Xie (IEEE Trans. Neural Networks Learn. Syst., 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)