Zhaohui Tang
Orcid: 0000-0003-4132-4987Affiliations:
- Central South University, Changsha, China
According to our database1,
Zhaohui Tang
authored at least 72 papers
between 2009 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Fusion of deep feature and apparent feature for flotation grade prediction based on apparent information guidance encoder-decoder network.
Inf. Fusion, 2026
A blur-guided multi-attention network based on left-right consistency for gradual defocus deblurring in binocular images.
Neurocomputing, 2026
2025
Flotation Grade Monitoring Using Feed Grade Refined Embedding and Nonoverlapped Patch Encoding.
IEEE Trans. Ind. Informatics, November, 2025
Multihorizon KPI Forecasting in Complex Industrial Processes: An Adaptive Encoder-Decoder Framework With Partial Teacher Forcing.
IEEE Trans. Cybern., June, 2025
Feature-Ensemble Model With an Adaptive Self-Ensemble Module for Feed-Grade Monitoring in Froth Flotation.
IEEE Trans. Ind. Informatics, April, 2025
Mgs-Stereo: Multi-Scale Geometric-Structure-Enhanced Stereo Matching for Complex Real-World Scenes.
IEEE Trans. Image Process., 2025
IEEE Trans. Instrum. Meas., 2025
A Sentinel-Based Adaptive Hybrid Soft Sensing Method for Industrial Process Monitoring.
IEEE Trans. Instrum. Meas., 2025
Flotation Condition Recognition of Zinc Based on Weighted Naive Bayes Considering Multiple Relationship.
IEEE Trans. Instrum. Meas., 2025
SGCF: An MPC-Inspired Control Framework Using Sequence Generation Networks for Flotation Process.
IEEE Trans Autom. Sci. Eng., 2025
Reagent Addition Control for Zinc First Rougher With a Dual FP Tree-Based Feature Setpoint Generator and Knowledge Core-Based Reagent Fine Presetting.
IEEE Trans Autom. Sci. Eng., 2025
Pattern Recognit. Lett., 2025
Upstream process condition monitoring for froth flotation based on feature performance evaluation and parameter-mapped GRNN.
Expert Syst. Appl., 2025
Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization.
Eng. Appl. Artif. Intell., 2025
2024
IEEE Trans. Ind. Informatics, November, 2024
Dual-Rule-Based Weighted Fuzzy Interpolative Reasoning Module and Temporal Encoder-Decoder Bayesian Network for Reagent Addition Control.
IEEE Trans. Fuzzy Syst., July, 2024
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Ind. Informatics, February, 2024
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., January, 2024
Measurement of Froth-Layer Depth With Binocular Camera Based on Intensity Correction and Its Application to Pulp-Grade Monitoring.
IEEE Trans. Instrum. Meas., 2024
A froth image segmentation method via generative adversarial networks with multi-scale self-attention mechanism.
Multim. Tools Appl., 2024
Interval type-2 fuzzy stochastic configuration networks for soft sensor modeling of industrial processes.
Inf. Sci., 2024
Pulp grade monitoring using binocular image through multi-scale feature cross-attention fusion network and saliency map constraint.
Adv. Eng. Informatics, 2024
Eglcr: Edge Structure Guidance and Scale Adaptive Attention for Iterative Stereo Matching.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
2023
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., November, 2023
A Binocular Camera Calibration Method in Froth Flotation Based on Key Frame Sequences and Weighted Normalized Tilt Difference.
IEEE Trans. Circuits Syst. Video Technol., October, 2023
Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring.
IEEE Trans. Ind. Electron., September, 2023
A Multi-Indicator Fusion-Based Approach for Fault Feature Selection and Classification of Rolling Bearings.
IEEE Trans. Ind. Informatics, August, 2023
Semisupervised Contrastive Memory Network for Industrial Process Working Condition Monitoring.
IEEE Trans. Instrum. Meas., 2023
Toward Automated Right Ventricle Segmentation via Edge Feature-Induced Self-Attention Multiscale Feature Aggregation Full Convolution Network.
IEEE Trans. Instrum. Meas., 2023
Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier.
IEEE Trans. Cybern., 2023
2022
Disturbance-Encoding-Based Neural Hammerstein-Wiener Model for Industrial Process Predictive Control.
IEEE Trans. Syst. Man Cybern. Syst., 2022
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., 2022
Operating Condition Recognition in Zinc Flotation Using Statistic and Temporal Correlation Features.
IEEE Trans. Instrum. Meas., 2022
Bubble Image Segmentation Based on a Novel Watershed Algorithm With an Optimized Mark and Edge Constraint.
IEEE Trans. Instrum. Meas., 2022
Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process.
IEEE Trans. Ind. Informatics, 2022
MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis.
J. Intell. Manuf., 2022
Toward robust process monitoring of complex process industries based on denoising sparse auto-encoder.
J. Ind. Inf. Integr., 2022
MCG&BA-Net: Retinal vessel segmentation using multiscale context gating and breakpoint attention.
IET Image Process., 2022
Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control.
Expert Syst. Appl., 2022
2021
Grouped Time Series Networks for Grade Monitoring of Zinc Tailings With Multisource Features.
IEEE Trans. Instrum. Meas., 2021
RPI-SURF: A Feature Descriptor for Bubble Velocity Measurement in Froth Flotation With Relative Position Information.
IEEE Trans. Instrum. Meas., 2021
LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation.
IEEE Trans. Instrum. Meas., 2021
Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues.
IEEE Trans. Instrum. Meas., 2021
Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation.
IEEE Trans. Ind. Informatics, 2021
Learning Local Gabor Pattern-Based Discriminative Dictionary of Froth Images for Flotation Process Working Condition Monitoring.
IEEE Trans. Ind. Informatics, 2021
Illumination-Invariant Flotation Froth Color Measuring via Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint.
IEEE Trans. Cybern., 2021
Steel Wire Rope Surface Defect Detection Based on Segmentation Template and Spatiotemporal Gray Sample Set.
Sensors, 2021
A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion.
Sensors, 2021
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.
Medical Image Anal., 2021
Deep learning feature-based setpoint generation and optimal control for flotation processes.
Inf. Sci., 2021
2020
Online Monitoring of Flotation Froth Bubble-Size Distributions via Multiscale Deblurring and Multistage Jumping Feature-Fused Full Convolutional Networks.
IEEE Trans. Instrum. Meas., 2020
A Similarity-Based Burst Bubble Recognition Using Weighted Normalized Cross Correlation and Chamfer Distance.
IEEE Trans. Ind. Informatics, 2020
Toward Flotation Process Operation-State Identification via Statistical Modeling of Biologically Inspired Gabor Filtering Responses.
IEEE Trans. Cybern., 2020
Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection.
Expert Syst. Appl., 2020
Toward security monitoring of industrial Cyber-Physical systems via hierarchically distributed intrusion detection.
Expert Syst. Appl., 2020
FoGDbED: Fractional-order Gaussian derivatives-based edge-relevant structure detection using Caputo-Fabrizio definition.
Digit. Signal Process., 2020
STA-APSNFIS: STA-Optimized Adaptive Pre-Sparse Neuro-Fuzzy Inference System for Online Soft Sensor Modeling.
IEEE Access, 2020
2019
Texture pattern classification based on probability density function estimation of the image spatial structure feature with symmetrical weibull distribution model.
Multim. Tools Appl., 2019
ANID-SEoKELM: Adaptive network intrusion detection based on selective ensemble of kernel ELMs with random features.
Knowl. Based Syst., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019
2018
Symmetry, 2018
Characterization of Complex Image Spatial Structures Based on Symmetrical Weibull Distribution Model for Texture Pattern Classification.
Complex., 2018
IEEE Access, 2018
2017
Frontiers Inf. Technol. Electron. Eng., 2017
J. Medical Syst., 2017
2016
Quality-Related Monitoring and Grading of Granulated Products by Weibull-Distribution Modeling of Visual Images with Semi-Supervised Learning.
Sensors, 2016
Toward Automated Quality Classification via Statistical Modeling of Grain Images for Rice Processing Monitoring.
Int. J. Comput. Intell. Syst., 2016
2013
Machine Vision Based Production Condition Classification and Recognition for Mineral Flotation Process Monitoring.
Int. J. Comput. Intell. Syst., 2013
2009
Proceedings of the Sixth International Symposium on Neural Networks, 2009