Name
Affiliation
Papers
CHUNHUA YANG
Cent South Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China
185
Collaborators
Citations 
PageRank 
321
435
71.63
Referers 
Referees 
References 
1023
2339
1104
Search Limit
1001000
Title
Citations
PageRank
Year
A multiobjective state transition algorithm based on modified decomposition method00.342022
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring10.362022
Optimal Temperature Rise Control for a Large-Scale Vertical Quench Furnace System00.342022
Reconstruction of Tree Network via Evolutionary Game Data Analysis00.342022
MPA-RNN: A Novel Attention-Based Recurrent Neural Networks for Total Nitrogen Prediction00.342022
Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity00.342022
Consensus for Second-Order Discrete-Time Agents With Position Constraints and Delays20.362022
Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge20.372022
VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process00.342022
New mode cold start monitoring in industrial processes: A solution of spatial–temporal feature transfer00.342022
A novel learning-based asynchronous sliding mode control for discrete-time semi-Markov jump systems00.342022
Combined Approach to Estimate Blood Glucose Level in Noninvasive Monitoring: Ultra-Wide Band Microwave and Cascaded General Regression Neural Network00.342022
A Novel Soft Sensor Modeling Approach Based on Difference-LSTM for Complex Industrial Process00.342022
Scale-selective and noise-robust extended local binary pattern for texture classification00.342022
A multimode mechanism-guided product quality estimation approach for multi-rate industrial processes00.342022
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling00.342022
Moving time domain blending operational strategy for alumina production by mixed integer optimization00.342022
A Novel Semisupervised Regression Method for Online Total Nitrogen Detection Using Double Structural Sparse Feature Extraction00.342022
Angle-Based Analysis Approach for Distributed Constrained Optimization20.372021
False Data Injection Attacks Detection in Smart Grid: A Structural Sparse Matrix Separation Method40.382021
Stackelberg–Nash Game Approach for Constrained Robust Optimization With Fuzzy Variables00.342021
Design and Implementation of Observer-Based Sliding Mode for Underactuated Rendezvous System10.342021
A Hybrid First Principles and Data-Driven Process Monitoring Method for Zinc Smelting Roasting Process00.342021
Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE00.342021
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process20.372021
Functional Deep Echo State Network Improved By A Bi-Level Optimization Approach For Multivariate Time Series Classification20.372021
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development60.452021
Distributed Dictionary Learning For Industrial Process Monitoring With Big Data10.352021
Global Reconstruction of Complex Network Topology via Structured Compressive Sensing00.342021
A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection60.472021
Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV-Vis Spectrometry and SPSE-XGBoost Method.00.342020
A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks.200.552020
Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor.00.342020
Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation50.422020
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network30.392020
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes20.372020
Structure Dictionary Learning-Based Multimode Process Monitoring and its Application to Aluminum Electrolysis Process10.362020
Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning00.342020
Self-Learning Hot Data Prediction: Where Echo State Network Meets NAND Flash Memories20.362020
An Improved Homogeneous Polynomial Approach for Adaptive Sliding-Mode Control of Markov Jump Systems With Actuator Faults70.412020
Dynamic Optimization for Copper Removal Process With Continuous Production Constraints00.342020
Harmonic Amplitude Dispersion: When Production Intrinsic Prior Meets Oxygen Concentration Detection of Pharmaceutical Glass Vials00.342020
Using hybrid normalization technique and state transition algorithm to VIKOR method for influence maximization problem00.342020
Multivariate Regression Model for Industrial Process Measurement Based on Double Locally Weighted Partial Least Squares.00.342020
Multi-scale local LSSVM based spatiotemporal modeling and optimal control for the goethite process00.342020
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy10.352020
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis10.352020
Automated Visual Defect Detection for Flat Steel Surface: A Survey50.462020
A Novel Asynchronous Control for Artificial Delayed Markovian Jump Systems via Output Feedback Sliding Mode Approach100.512019
Distributed Continuous-Time and Discrete-Time Optimization With Nonuniform Unbounded Convex Constraint Sets and Nonuniform Stepsizes50.412019
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