Chunjie Yang
Orcid: 0000-0002-4362-2104Affiliations:
- Zhejiang University, College of Control, Hangzhou, China (PhD 1998)
According to our database1,
Chunjie Yang
authored at least 75 papers
between 2005 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
SENGraph: A Self-Learning Evolutionary and Node-Aware Graph Network for Soft Sensing in Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., July, 2025
Toward In-Depth Mastery of Statistical Properties: Novel Stationary Moment Analysis With Application to Continuous Industrial Anomaly Detection.
IEEE Trans. Cybern., July, 2025
BTPNet: A Probabilistic Spatial-Temporal Aware Network for Burn-Through Point Multistep Prediction in Sintering Process.
IEEE Trans. Neural Networks Learn. Syst., May, 2025
Release Power of Mechanism and Data Fusion: A Hierarchical Strategy for Enhanced MIQ-Related Modeling and Fault Detection in BFIP.
IEEE CAA J. Autom. Sinica, May, 2025
IEEE Trans. Ind. Informatics, February, 2025
TKS-BLS: Temporal Kernel Stationary Broad Learning System for Enhanced Modeling, Anomaly Detection, and Incremental Learning With Application to Ironmaking Processes.
IEEE Trans. Syst. Man Cybern. Syst., January, 2025
Facilitating Ferrous Oxide Prediction: Enabling Sintering Forecasting With Orthogonal Basis-Based Implicit Subspace Identification.
IEEE Trans. Ind. Informatics, January, 2025
Knowledge-Based Temporal GCN: A Spatial-Temporal Fault Diagnosis Method for Blast Furnace Ironmaking Process With Imbalanced Data.
IEEE Trans. Instrum. Meas., 2025
A Reinforcement Learning-Based Multistep Prediction Strategy for Burn-Through Point Using State Feature Extractor.
IEEE Trans. Instrum. Meas., 2025
Multidomain Graph Meta-Learning Network for Few-Shot Prediction in Industrial Processes.
IEEE Trans. Instrum. Meas., 2025
IEEE Trans. Instrum. Meas., 2025
Semi-supervised high-uncertainty deep canonical variate analysis for fault diagnosis in blast furnace ironmaking.
Knowl. Based Syst., 2025
A graph-guided network with adaptive evaluation and improvement for disturbed sensors in fault-tolerant soft sensor modeling.
Knowl. Based Syst., 2025
A robust temporal multivariable fault detection method for blast furnace: Robust temporal convolution detection network.
Inf. Sci., 2025
Inf. Sci., 2025
Concept drift meets industrial data streams: An efficient drift adaptation framework with knowledge embedding and transfer.
Expert Syst. Appl., 2025
Deep fusion of time series and visual data through temporal Features: A soft-sensor model for FeO content in sintering process.
Expert Syst. Appl., 2025
FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling.
Eng. Appl. Artif. Intell., 2025
2024
SFENOSA: A Novel KPI-Related Process Monitoring Method by Slow Feature Extraction and Elastic Net Orthonormal Subspace Analysis.
IEEE Trans. Ind. Informatics, November, 2024
A Graph-Based Time-Frequency Two-Stream Network for Multistep Prediction of Key Performance Indicators in Industrial Processes.
IEEE Trans. Cybern., November, 2024
Data-Driven Joint Fault Diagnosis Based on RMK-ASSA and DBSKNet for Blast Furnace Iron-Making Process.
IEEE Trans Autom. Sci. Eng., July, 2024
From Complexity to Clarity: M2KCSVA's Nonlinear Temporal Correlation Analysis and Stationary Estimation Pave the Way for Fault Diagnosis in Ironmaking Processes.
IEEE Trans. Ind. Informatics, April, 2024
A 3-D Convolution-Based Burn-Through Point Multistep Prediction Model for Sintering Process.
IEEE Trans. Ind. Electron., April, 2024
Blast Furnace Ironmaking Process Monitoring With Time-Constrained Global and Local Nonlinear Analytic Stationary Subspace Analysis.
IEEE Trans. Ind. Informatics, March, 2024
Igniting Advancements in Iron-Making Process Monitoring: Exploring a Novel and Cutting-Edge Joint Sparse-Constrained Data-Dependent Kernel CVA Method.
IEEE Trans. Instrum. Meas., 2024
One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction.
IEEE Trans. Instrum. Meas., 2024
Knowledge and Data Dual-Driven Graph Neural Network for Tumbler Strength Prediction in Sintering Process.
IEEE Trans. Instrum. Meas., 2024
Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams.
Knowl. Based Syst., 2024
Online spatiotemporal modeling for high spatial-dimensional DPSs under nonstationary sensor layout.
Expert Syst. Appl., 2024
Data and knowledge collaborative-driven fault identification and self-healing control action inference framework for blast furnace.
Expert Syst. Appl., 2024
Ontology guided multi-level knowledge graph construction and its applications in blast furnace ironmaking process.
Adv. Eng. Informatics, 2024
Fault diagnosis of blast furnace based on incomplete multi-source domain adaptation with feature fusion.
Adv. Eng. Informatics, 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Fault Diagnosis of Blast Furnace Throat Temperature Monitoring Device Based on Residual Analysis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Multisource Information Fusion for Autoformer: Soft Sensor Modeling of FeO Content in Iron Ore Sintering Process.
IEEE Trans. Ind. Informatics, December, 2023
Novel Data-Driven Deep Learning Assisted CVA for Ironmaking System Prediction and Control.
IEEE Trans. Circuits Syst. II Express Briefs, December, 2023
Relative Synergy Coefficient: A novel way to detect variable interaction in large dataset.
Knowl. Based Syst., December, 2023
IEEE Trans. Ind. Informatics, August, 2023
Intelligent Transfer Optimization for Ironmaking Process With Nonanalytic Constraints.
IEEE Trans. Ind. Informatics, June, 2023
A Local Dynamic Broad Kernel Stationary Subspace Analysis for Monitoring Blast Furnace Ironmaking Process.
IEEE Trans. Ind. Informatics, April, 2023
Frontiers Inf. Technol. Electron. Eng., March, 2023
An End-to-End Multisource Information Fusion Framework for f-CaO Content Soft Sensing in Cement Clinker Burning Process.
IEEE Trans. Instrum. Meas., 2023
Collaborative Extraction of Intervariable Coupling Relationships and Dynamics for Prediction of Silicon Content in Blast Furnaces.
IEEE Trans. Instrum. Meas., 2023
A Soft Sensor Model of Sintering Process Quality Index Based on Multi-Source Data Fusion.
Sensors, 2023
Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process.
Inf. Sci., 2023
2022
Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach.
IEEE Trans. Instrum. Meas., 2022
Dynamic Time Features Expanding and Extracting Method for Prediction Model of Sintering Process Quality Index.
IEEE Trans. Ind. Informatics, 2022
A Context-Aware Enhanced GRU Network With Feature-Temporal Attention for Prediction of Silicon Content in Hot Metal.
IEEE Trans. Ind. Informatics, 2022
DSTED: A Denoising Spatial-Temporal Encoder-Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process.
IEEE Trans. Ind. Electron., 2022
Nonstationary Process Monitoring for Blast Furnaces Based on Consistent Trend Feature Analysis.
IEEE Trans. Control. Syst. Technol., 2022
Consistent Optimization of Blast Furnace Ironmaking Process Based on Controllability Assurance Soft Sensor Modeling.
Sensors, 2022
Sintering Quality Prediction Model Based on Semi-Supervised Dynamic Time Feature Extraction Framework.
Sensors, 2022
How to make machine select stocks like fund managers? Use scoring and screening model.
Expert Syst. Appl., 2022
Forecasting of iron ore sintering quality index: A latent variable method with deep inner structure.
Comput. Ind., 2022
Deep weighted joint distribution adaption network for fault diagnosis of blast furnace ironmaking process.
Comput. Chem. Eng., 2022
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022
2021
Detection of Blast Furnace Stockline Based on a Spatial-Temporal Characteristic Cooperative Method.
IEEE Trans. Instrum. Meas., 2021
IEEE CAA J. Autom. Sinica, 2021
Domain knowledge based explainable feature construction method and its application in ironmaking process.
Eng. Appl. Artif. Intell., 2021
Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion.
Sci. China Inf. Sci., 2021
2020
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Ind. Electron., 2020
Conditional random field for monitoring multimode processes with stochastic perturbations.
J. Frankl. Inst., 2020
A Collaborative Optimization Strategy for Energy Reduction in Ironmaking Digital Twin.
IEEE Access, 2020
2019
Coordination Control for a Class of Multi-Agent Systems Under Asynchronous Switching.
J. Syst. Sci. Complex., 2019
Remaining Useful Life Prediction under Multiple Fault Patterns for Degradation Processes with Long-Range Dependence.
Proceedings of the CAA Symposium on Fault Detection, 2019
2017
Observer-based event-triggered containment control of multi-agent systems with time delay.
Int. J. Syst. Sci., 2017
2016
IEEE Trans. Ind. Electron., 2016
Observer-based event-triggered tracking control of leader-follower systems with time delay.
J. Syst. Sci. Complex., 2016
2013
Belief function to probability: A tradeoff between easy decision-making and high risk.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Decomposition and Resolution of Fuzzy Relation Equations (II) Based on Boolean-Type Implications.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005