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Yongfang Xie
Yong-Fang Xie
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- affiliation: Central South University, School of Automation, Changsha, China
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2020 – today
- 2025
- [j119]Xiaoliang Gao, Zhaohui Tang, Hu Zhang, Yongfang Xie, Weihua Gui:
Upstream process condition monitoring for froth flotation based on feature performance evaluation and parameter-mapped GRNN. Expert Syst. Appl. 259: 125261 (2025) - 2024
- [j118]Weichao Yue, Lingfeng Hou, Xiaoxue Wan, Yongfang Xie, Xiaofang Chen, Weihua Gui:
Consensus-based probabilistic hesitant intuitionistic linguistic Petri nets for knowledge-intensive work of superheat degree identification. Adv. Eng. Informatics 59: 102261 (2024) - [j117]Xiaoxue Wan, Lihui Cen, Weichao Yue, Yongfang Xie, Xiaofang Chen, Weihua Gui:
Failure mode and effect analysis with ORESTE method under large group probabilistic free double hierarchy hesitant linguistic environment. Adv. Eng. Informatics 59: 102353 (2024) - [j116]Xiaoxue Wan, Lihui Cen, Xiaofang Chen, Yongfang Xie, Weihua Gui:
Prior knowledge-augmented unsupervised shapelet learning for unknown abnormal working condition discovery in industrial process. Adv. Eng. Informatics 60: 102429 (2024) - [j115]Xiaoxue Wan, Lihui Cen, Xiaofang Chen, Yongfang Xie:
Multi-generator adversarial dynamic spatial-temporal shapelet network for anode effect prediction in aluminum electrolysis process. Adv. Eng. Informatics 62: 102609 (2024) - [j114]Yuze Zhong, Zhaohui Tang, Hu Zhang, Zhien Dai, Zibang Nie, Yongfang Xie:
Pulp grade monitoring using binocular image through multi-scale feature cross-attention fusion network and saliency map constraint. Adv. Eng. Informatics 62: 102780 (2024) - [j113]Hong Yu, Zongqiang Wang, Yongfang Xie, Guoyin Wang:
A multi-granularity hierarchical network for long- and short-term forecasting on multivariate time series data. Appl. Soft Comput. 157: 111537 (2024) - [j112]Longfei Zhang, Zeyang Yin, Xiaofang Chen, Yongfang Xie:
An optimal and efficient hierarchical motion planner for industrial robots with complex constraints. Comput. Electr. Eng. 119: 109521 (2024) - [j111]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) - [j110]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) - [j109]Jinping Liu, Xiaoqiang Wu, Yongming Xie, Zhaohui Tang, Yongfang Xie, Subo Gong:
Small samples-oriented intrinsically explainable machine learning using Variational Bayesian Logistic Regression: An intensive care unit readmission prediction case for liver transplantation patients. Expert Syst. Appl. 235: 121138 (2024) - [j108]Jue Shi, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Lihui Cen, Yubo Sun:
Hybrid-driven BRBCS-BOM with expert intervention and its application for abnormity recognition in electrolytic cell. Expert Syst. Appl. 238(Part F): 122227 (2024) - [j107]Zhiqiang Qian, Yongfang Xie, Shiwen Xie:
MAR-GSA: Mixed attraction and repulsion based gravitational search algorithm. Inf. Sci. 662: 120250 (2024) - [j106]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) - [j105]Yubo Sun, Weihua Gui, Xiaofang Chen, Yongfang Xie:
Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion. Int. J. Mach. Learn. Cybern. 15(4): 1375-1396 (2024) - [j104]Yuze Zhong, Zhaohui Tang, Hu Zhang, Yongfang Xie, Xiaoliang Gao:
A froth image segmentation method via generative adversarial networks with multi-scale self-attention mechanism. Multim. Tools Appl. 83(7): 19663-19682 (2024) - [j103]Xiaofan Liu, Xianxiang Wu, Yongfang Xie, Baolong Guo:
Time-Varying Formation Control With Transient Performance for Multiagent Systems Under Jointly Connected Topologies. IEEE Syst. J. 18(1): 497-500 (2024) - [j102]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) - [j101]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) - [j100]Xiaoxue Wan, Lihui Cen, Xiaofang Chen, Yongfang Xie, Weihua Gui:
Memory Shapelet Learning for Early Classification of Streaming Time Series. IEEE Trans. Cybern. 54(5): 2757-2770 (2024) - [j99]Hong Yu, Xuekang Fan, Guoyin Wang, Yongfang Xie:
VSG3A2: A Genetic Algorithm-Based Virtual Sample Generation Approach Using Information Gain and Acceptance-Rejection Sampling. IEEE Trans. Evol. Comput. 28(5): 1514-1528 (2024) - [j98]Xiaoliang Gao, Zhaohui Tang, Yongfang Xie, Hu Zhang, Nongzhang Ding, Weihua Gui:
Dual-Rule-Based Weighted Fuzzy Interpolative Reasoning Module and Temporal Encoder-Decoder Bayesian Network for Reagent Addition Control. IEEE Trans. Fuzzy Syst. 32(7): 3891-3902 (2024) - [j97]Zhaohui Jiang, Ke Jiang, Yongfang Xie, Dong Pan, Weihua Gui:
A Cooperative Silicon Content Dynamic Prediction Method With Variable Time Delay Estimation in the Blast Furnace Ironmaking Process. IEEE Trans. Ind. Informatics 20(1): 626-637 (2024) - [j96]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) - [j95]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) - [j94]Xiaoxue Wan, Lihui Cen, Xiaofang Chen, Yongfang Xie, Weihua Gui:
Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning. IEEE Trans. Ind. Informatics 20(10): 11751-11762 (2024) - [j93]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) - [j92]Yuze Zhong, Zhaohui Tang, Hu Zhang, Yongfang Xie, Zhien Dai:
Measurement of Froth-Layer Depth With Binocular Camera Based on Intensity Correction and Its Application to Pulp-Grade Monitoring. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j91]Jue Shi, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun:
Delicately Reinforced k-Nearest Neighbor Classifier Combined With Expert Knowledge Applied to Abnormity Forecast in Electrolytic Cell. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3027-3037 (2024) - [j90]Ke Jiang, Zhaohui Jiang, Xudong Jiang, Yongfang Xie, Weihua Gui:
Reinforcement Learning for Blast Furnace Ironmaking Operation With Safety and Partial Observation Considerations. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3077-3090 (2024) - [j89]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) - [c10]Zhien Dai, Zhaohui Tang, Hu Zhang, Can Tian, Mingjun Pan, Yongfang Xie:
Eglcr: Edge Structure Guidance and Scale Adaptive Attention for Iterative Stereo Matching. ACM Multimedia 2024: 4197-4206 - [c9]Jie Wang, Yongfang Xie, Shiwen Xie, Xiaofang Chen:
Operational Decision-Making Optimization of Aluminum Electrolysis Process Based on Health Evaluation of Aluminum Electrolytic Cell. CIS-RAM 2024: 156-161 - 2023
- [j88]Weichao Yue, Jianing Chai, Xiaoxue Wan, Yongfang Xie, Xiaofang Chen, Weihua Gui:
Root cause analysis for process industry using causal knowledge map under large group environment. Adv. Eng. Informatics 57: 102057 (2023) - [j87]Jue Shi, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun:
Population-based discrete state transition algorithm with decomposition and knowledge guidance applied to electrolytic cell maintenance decision. Appl. Soft Comput. 135: 109996 (2023) - [j86]Yongfang Xie, Weitao Hu, Shiwen Xie, Lei He:
Surface Defect Detection Algorithm Based on Feature-Enhanced YOLO. Cogn. Comput. 15(2): 565-579 (2023) - [j85]Lei He, Zhaohui Jiang, Yongfang Xie, Zhipeng Chen:
Structure-preserving texture smoothing with scale-aware intensity aggregation structure measurement. Digit. Signal Process. 136: 103991 (2023) - [j84]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) - [j83]Xiaofan Liu, Xianxiang Wu, Yongfang Xie, Baolong Guo, Jingchi Yan:
Fully distributed adaptive time-varying formation control of singular multiagent systems. Neurocomputing 516: 146-154 (2023) - [j82]Ziqing Deng, Xiaofang Chen, Yongfang Xie, Zhong Zou, Hongliang Zhang:
Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring. Inf. Sci. 648: 119514 (2023) - [j81]Yuming Wu, Lihui Cen, Shichao Kan, Yongfang Xie:
Multi-layer capsule network with joint dynamic routing for fire recognition. Image Vis. Comput. 139: 104825 (2023) - [j80]Xiaofan Liu, Yongfang Xie, Fanbiao Li, Weihua Gui:
Consensus Tracking of Singular Multiagent Systems via Sliding-Mode Approach. IEEE Trans. Autom. Control. 68(8): 5022-5028 (2023) - [j79]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) - [j78]Jin Luo, Zhaohui Tang, Hu Zhang, Ying Fan, Yongfang Xie, Weihua Gui:
A Binocular Camera Calibration Method in Froth Flotation Based on Key Frame Sequences and Weighted Normalized Tilt Difference. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5576-5586 (2023) - [j77]Jinping Liu, Longcheng Xu, Yongfang Xie, Tianyu Ma, Jie Wang, Zhaohui Tang, Weihua Gui, Huazhan Yin, Hadi Jahanshahi:
Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier. IEEE Trans. Cybern. 53(1): 428-442 (2023) - [j76]Mingxi Ai, Yongfang Xie, Steven X. Ding, Zhaohui Tang, Weihua Gui:
Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring. IEEE Trans. Ind. Electron. 70(9): 9452-9462 (2023) - [j75]Hu Zhang, Zhaohui Tang, Yongfang Xie, Zeyang Yin, Weihua Gui:
ES-net: An Integration Model Based on Encoder-Decoder and Siamese Time Series Difference Network for Grade Monitoring of Zinc Tailings and Concentrate. IEEE Trans. Ind. Electron. 70(11): 11819-11830 (2023) - [j74]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) - [j73]Jinping Liu, Mengke Li, Quanquan Gao, Subo Gong, Zhaohui Tang, Yongfang Xie, Ardashir Mohammadzadeh:
Toward Automated Right Ventricle Segmentation via Edge Feature-Induced Self-Attention Multiscale Feature Aggregation Full Convolution Network. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j72]Zhaohui Tang, Jin Zhang, Yongfang Xie, Steven X. Ding, Mingxi Ai:
Semisupervised Contrastive Memory Network for Industrial Process Working Condition Monitoring. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c8]Hong Yu, Qian Yang, Guoyin Wang, Yongfang Xie:
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification : Extended abstract. ICDE 2023: 3845-3846 - [c7]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
- [j71]Li Li, Yongfang Xie, Lihui Cen, Zhaohui Zeng:
A novel cause analysis approach of grey reasoning Petri net based on matrix operations. Appl. Intell. 52(1): 1-18 (2022) - [j70]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) - [j69]Hong Yu, Zhao Fu, Guoyin Wang, Yongfang Xie, Jie Li:
A Multi-objective optimization algorithm based on dynamic user-preference information. Computing 104(3): 627-656 (2022) - [j68]Jin Zhang, Zhaohui Tang, Yongfang Xie, Mingxi Ai, Weihua Gui:
Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control. Expert Syst. Appl. 197: 116790 (2022) - [j67]Jinping Liu, Juanjuan Wu, Yongfang Xie, Wang Jie, Pengfei Xu, Zhaohui Tang, Huazhan Yin:
Toward robust process monitoring of complex process industries based on denoising sparse auto-encoder. J. Ind. Inf. Integr. 30: 100410 (2022) - [j66]Peng Wu, Hong Yu, Feng Hu, Yongfang Xie:
A temporal-attribute attention neural network for mixed frequency data forecasting. Int. J. Mach. Learn. Cybern. 13(9): 2519-2531 (2022) - [j65]Xiaoxue Wan, Lihui Cen, Xiaofang Chen, Yongfang Xie:
A novel multiple temporal-spatial convolution network for anode current signals classification. Int. J. Mach. Learn. Cybern. 13(11): 3299-3310 (2022) - [j64]Xiaofan Liu, Yongfang Xie, Fanbiao Li, Weihua Gui:
Sliding-Mode-Based Admissible Consensus Tracking of Nonlinear Singular Multiagent Systems Under Jointly Connected Topologies. IEEE Trans. Cybern. 52(11): 12491-12500 (2022) - [j63]Ke Jiang, Zhaohui Jiang, Yongfang Xie, Dong Pan, Weihua Gui:
Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders. IEEE Trans. Ind. Informatics 18(3): 1854-1863 (2022) - [j62]Hu Zhang, Zhaohui Tang, Yongfang Xie, He Yuan, Qing Chen, Weihua Gui:
Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process. IEEE Trans. Ind. Informatics 18(4): 2539-2549 (2022) - [j61]Ke Jiang, Zhaohui Jiang, Yongfang Xie, Dong Pan, Weihua Gui:
Prediction of Multiple Molten Iron Quality Indices in the Blast Furnace Ironmaking Process Based on Attention-Wise Deep Transfer Network. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [j60]Can Tian, Zhaohui Tang, Hu Zhang, Yongfang Xie:
Operating Condition Recognition in Zinc Flotation Using Statistic and Temporal Correlation Features. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j59]Hong Yu, Qian Yang, Guoyin Wang, Yongfang Xie:
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification. IEEE Trans. Knowl. Data Eng. 34(10): 4572-4585 (2022) - [j58]Jin Zhang, Zhaohui Tang, Yongfang Xie, Fanbiao Li, Mingxi Ai, Guoyong Zhang, Weihua Gui:
Disturbance-Encoding-Based Neural Hammerstein-Wiener Model for Industrial Process Predictive Control. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 606-617 (2022) - [j57]Jinping Liu, Jiezhou He, Zhaohui Tang, Yongfang Xie, Weihua Gui, Tianyu Ma, Hadi Jahanshahi, Ayman A. Aly:
Frame-Dilated Convolutional Fusion Network and GRU-Based Self-Attention Dual-Channel Network for Soft-Sensor Modeling of Industrial Process Quality Indexes. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5989-6002 (2022) - 2021
- [j56]Zhaohui Zeng, Weihua Gui, Lihui Cen, Xiaofang Chen, Yongfang Xie:
Estimating the Alumina Concentration During Aluminum Electrolysis by Identifying the Sensitive Frequency Band Using Marginal Kurtosis. IEEE Access 9: 1016-1031 (2021) - [j55]Xiangpeng Li, Hong Yu, Yongfang Xie, Jie Li:
Attention-based novel neural network for mixed frequency data. CAAI Trans. Intell. Technol. 6(3): 301-311 (2021) - [j54]Mingxi Ai, Yongfang Xie, Zhaohui Tang, Jin Zhang, Weihua Gui:
Deep learning feature-based setpoint generation and optimal control for flotation processes. Inf. Sci. 578: 644-658 (2021) - [j53]Li Li, Yongfang Xie, Xiaofang Chen:
A method for root cause diagnosis with picture fuzzy sets based dynamic uncertain causality graph. J. Intell. Fuzzy Syst. 41(1): 387-397 (2021) - [j52]Yongxiang Lei, Xiaofang Chen, Yongfang Xie:
An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine. J. Syst. Control. Eng. 235(10) (2021) - [j51]Jinping Liu, Hui Liu, Subo Gong, Zhaohui Tang, Yongfang Xie, Huazhan Yin, Jean Paul Niyoyita:
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure. Medical Image Anal. 72: 102135 (2021) - [j50]Weichao Yue, Xiao Liu, Sanyi Li, Weihua Gui, Yongfang Xie:
Knowledge representation and reasoning with industrial application using interval-valued intuitionistic fuzzy Petri nets and extended TOPSIS. Int. J. Mach. Learn. Cybern. 12(4): 987-1013 (2021) - [j49]Jinping Liu, Jiezhou He, Yongfang Xie, Weihua Gui, Zhaohui Tang, Tianyu Ma, Junbin He, Jean Paul Niyoyita:
Illumination-Invariant Flotation Froth Color Measuring via Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint. IEEE Trans. Cybern. 51(2): 839-852 (2021) - [j48]Keke Huang, Yiming Wu, Chen Wang, Yongfang Xie, Chunhua Yang, Weihua Gui:
A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications. IEEE Trans. Ind. Informatics 17(1): 558-568 (2021) - [j47]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) - [j46]Jinping Liu, Shuangshuang Zhao, Yongfang Xie, Weihua Gui, Zhaohui Tang, Tianyu Ma, Jean Paul Niyoyita:
Learning Local Gabor Pattern-Based Discriminative Dictionary of Froth Images for Flotation Process Working Condition Monitoring. IEEE Trans. Ind. Informatics 17(7): 4437-4448 (2021) - [j45]Hu Zhang, Zhaohui Tang, Yongfang Xie, Qing Chen, Xiaoliang Gao, Weihua Gui:
Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation. IEEE Trans. Ind. Informatics 17(12): 8406-8417 (2021) - [j44]Mingxi Ai, Yongfang Xie, Zhaohui Tang, Jin Zhang, Weihua Gui:
Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j43]Lei He, Zhaohui Jiang, Yongfang Xie, Zhipeng Chen, Weihua Gui:
Velocity Measurement of Blast Furnace Molten Iron Based on Mixed Morphological Features of Boundary Pixel Sets. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j42]Lei He, Zhaohui Jiang, Yongfang Xie, Weihua Gui, Zhipeng Chen:
Mass Flow Measurement of Molten Iron From Blast Furnace, Based on Trusted Region Stacking Using Single High-Speed Camera. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j41]Jin Luo, Zhaohui Tang, Hu Zhang, Ying Fan, Yongfang Xie:
LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j40]Hu Zhang, Zhaohui Tang, Yongfang Xie, Weihua Gui:
RPI-SURF: A Feature Descriptor for Bubble Velocity Measurement in Froth Flotation With Relative Position Information. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j39]Hu Zhang, Zhaohui Tang, Yongfang Xie, Guoyong Zhang, Weihua Gui:
Grouped Time Series Networks for Grade Monitoring of Zinc Tailings With Multisource Features. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j38]Xiaofan Liu, Yongfang Xie, Fanbiao Li, Weihua Gui:
Admissible Consensus for Homogenous Descriptor Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(2): 965-974 (2021) - [c6]Yani Zhao, Yongfang Xie:
Study on Differential Expression Genes in HCC Based on GEO Database. BIC 2021: 63-69 - 2020
- [j37]Jinping Liu, Churong Jiang, Jiezhou He, Zhaohui Tang, Yongfang Xie, Pengfei Xu:
STA-APSNFIS: STA-Optimized Adaptive Pre-Sparse Neuro-Fuzzy Inference System for Online Soft Sensor Modeling. IEEE Access 8: 104870-104883 (2020) - [j36]Guoyong Zhang, Jinping Liu, Jie Wang, Zhaohui Tang, Yongfang Xie, Junbin He, Tianyu Ma, Jean Paul Niyoyita:
FoGDbED: Fractional-order Gaussian derivatives-based edge-relevant structure detection using Caputo-Fabrizio definition. Digit. Signal Process. 98: 102639 (2020) - [j35]Yongpeng Wang, Hong Yu, Guoyin Wang, Yongfang Xie:
Cross-Domain Recommendation Based on Sentiment Analysis and Latent Feature Mapping. Entropy 22(4): 473 (2020) - [j34]Jinping Liu, Wuxia Zhang, Zhaohui Tang, Yongfang Xie, Tianyu Ma, Jingjing Zhang, Guoyong Zhang, Jean Paul Niyoyita:
Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection. Expert Syst. Appl. 139 (2020) - [j33]Jinping Liu, Wuxia Zhang, Tianyu Ma, Zhaohui Tang, Yongfang Xie, Weihua Gui, Jean Paul Niyoyita:
Toward security monitoring of industrial Cyber-Physical systems via hierarchically distributed intrusion detection. Expert Syst. Appl. 158: 113578 (2020) - [j32]Yongxiang Lei, Xiaofang Chen, Mengcan Min, Yongfang Xie:
A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification. Neurocomputing 381: 186-195 (2020) - [j31]Ke Jiang, Zhaohui Jiang, Yongfang Xie, Zhipeng Chen, Dong Pan, Weihua Gui:
Classification of silicon content variation trend based on fusion of multilevel features in blast furnace ironmaking. Inf. Sci. 521: 32-45 (2020) - [j30]Weichao Yue, Weihua Gui, Yongfang Xie:
Experiential knowledge representation and reasoning based on linguistic Petri nets with application to aluminum electrolysis cell condition identification. Inf. Sci. 529: 141-165 (2020) - [j29]Li Li, Yongfang Xie, Xiaofang Chen, Weichao Yue, Zhaohui Zeng:
Dynamic uncertain causality graph based on cloud model theory for knowledge representation and reasoning. Int. J. Mach. Learn. Cybern. 11(8): 1781-1799 (2020) - [j28]Zhaoke Huang, Chunhua Yang, Xiaofang Chen, Keke Huang, Yongfang Xie:
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis. Neural Comput. Appl. 32(11): 7183-7199 (2020) - [j27]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) - [j26]Xiaofan Liu, Yongfang Xie, Fanbiao Li, Weihua Gui:
Cooperative output regulation of singular multi-agent systems under adaptive distributed protocol and general entirety method. Syst. Control. Lett. 138: 104628 (2020) - [j25]Jinping Liu, Jiaming Zhou, Zhaohui Tang, Weihua Gui, Yongfang Xie, Jiezhou He, Tianyu Ma, Jean Paul Niyoyita:
Toward Flotation Process Operation-State Identification via Statistical Modeling of Biologically Inspired Gabor Filtering Responses. IEEE Trans. Cybern. 50(10): 4242-4255 (2020) - [j24]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) - [j23]Hu Zhang, Zhaohui Tang, Yongfang Xie, Xiaoliang Gao, Qing Chen