Dehao Wu

According to our database, Dehao Wu authored at least 32 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

When Process Control Meets Big Data: Data-Driven Cloud-Edge Collaborative Predictive Control Method for Multiple Operating Conditions Processes.

Keke Huang, Yanwei Tang, Zui Tao, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Syst. Man Cybern. Syst., October, 2025

Open Multimode Process Monitoring: A Dual Memory-Based Continual Dictionary Learning Method.

Zixuan Chen, Keke Huang, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Ind. Electron., October, 2025

From Complexity to Clarity: Structural Process Knowledge-Informed Neural Network for Alumina Concentration Distribution Prediction.

Zhijie Wang, Chunhua Yang, Keke Huang, Dehao Wu, Weihua Gui

IEEE Trans. Ind. Informatics, September, 2025

A Generalized Integrated Fuzzy-MPC With Optimal Input Excitation for Complex Systems With Industrial Applications.

Keke Huang, Xinyu Ying, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Fuzzy Syst., May, 2025

Contrastive Learning-Based Secure Unsupervised Domain Adaptation Framework and its Application in Cross-Factory Intelligent Manufacturing.

Zeyi Liu, Weihua Gui, Keke Huang, Dehao Wu, Yue Liao, Chunhua Yang

IEEE Robotics Autom. Lett., May, 2025

EaLDL: Element-Aware Lifelong Dictionary Learning for Multimode Process Monitoring.

Keke Huang, Hengxing Zhu, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Adaptive Learning Control for DPS With Continually Emerging Operational Conditions.

Yunfeng Zhang, Chunhua Yang, Keke Huang, Dehao Wu, Gui Gui, Weihua Gui

IEEE Trans Autom. Sci. Eng., 2025

Dynamic Error-Triggered Adaptive Control Method and Its Industrial Applications.

Keke Huang, Pei Li, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans Autom. Sci. Eng., 2025

Incremental Rank Continual Dictionary Learning for Multimode Process Monitoring With Continually Emerging Operational Mode.

Keke Huang, Weiyi Feng, Zixuan Chen, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans Autom. Sci. Eng., 2025

A Weighted Deep Learning-Based Predictive Control for Multimode Nonlinear System With Industrial Applications.

Keke Huang, Wenpu Cao, Yishun Liu, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans Autom. Sci. Eng., 2025

Self-learning stationary subspace analysis for fault detection of industrial processes with varying operation conditions.

Dehao Wu, Jianan Deng, Jingxin Zhang, Keke Huang, Chunhua Yang, Weihua Gui

Eng. Appl. Artif. Intell., 2025

Large language model driven multiple operating conditions identification and predictive control.

Zhongyu Zhang, Minzhi Mao, Keke Huang, Dehao Wu, Chunhua Yang

Appl. Soft Comput., 2025

2024

Global Information-Based Lifelong Dictionary Learning for Multimode Process Monitoring.

Zixuan Chen, Keke Huang, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Syst. Man Cybern. Syst., December, 2024

Multimodel Self-Learning Predictive Control Method With Industrial Application.

Keke Huang, Xinyu Ying, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Ind. Electron., November, 2024

One Network Fits All: A Self-Organizing Fuzzy Neural Network Based Explicit Predictive Control Method for Multimode Process.

Keke Huang, Xinyu Ying, Xinyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Fuzzy Syst., September, 2024

Physical Informed Sparse Learning for Robust Modeling of Distributed Parameter System and Its Industrial Applications.

Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans Autom. Sci. Eng., July, 2024

Knowledge-Informed Neural Network for Nonlinear Model Predictive Control With Industrial Applications.

Keke Huang, Yanwei Tang, Xinyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes.

Keke Huang, Zui Tao, Yishun Liu, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application.

Zeyi Liu, Dehao Wu, Keke Huang, Chunhua Yang, Weihua Gui

IEEE Trans Autom. Sci. Eng., January, 2024

Open World Wheels Recognition for Incomplete Data: A Two-Stage Solution Combining Data Generation and Metric Learning.

Keke Huang, Peng Wang, Zeyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Instrum. Meas., 2024

Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning.

Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui

Reliab. Eng. Syst. Saf., 2024

2023

Rotary Kiln Temperature Control Under Multiple Operating Conditions: an Error-Triggered Adaptive Model Predictive Control Solution.

Keke Huang, Peng Wang, Ke Wei, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Control. Syst. Technol., November, 2023

Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning.

Keke Huang, Li Zhang, Dehao Wu, Chunhua Yang, Weihua Gui

IEEE Trans. Control. Syst. Technol., May, 2023

LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network.

Wenfeng Deng, Yuxuan Li, Keke Huang, Dehao Wu, Chunhua Yang, Weihua Gui

Neural Networks, January, 2023

Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning.

Keke Huang, Shijun Tao, Dehao Wu, Chunhua Yang, Weihua Gui, Shiyan Hu

IEEE Trans. Ind. Informatics, 2023

Autocorrelation Feature Analysis for Dynamic Process Monitoring of Thermal Power Plants.

Xin Ma, Dehao Wu, Shaoxu Gao, Tongze Hou, Youqing Wang

IEEE Trans. Cybern., 2023

2022

Probabilistic Stationary Subspace Analysis for Monitoring Nonstationary Industrial Processes With Uncertainty.

Dehao Wu, Donghua Zhou, Maoyin Chen

IEEE Trans. Ind. Informatics, 2022

Performance-Driven Component Selection in the Framework of PCA for Process Monitoring: A Dynamic Selection Approach.

Dehao Wu, Donghua Zhou, Maoyin Chen

IEEE Trans. Control. Syst. Technol., 2022

2021

Output-Relevant Common Trend Analysis for KPI-Related Nonstationary Process Monitoring With Applications to Thermal Power Plants.

Dehao Wu, Donghua Zhou, Maoyin Chen, Jifeng Zhu, Fei Yan, Shuiming Zheng, Entao Guo

IEEE Trans. Ind. Informatics, 2021

Nonstationary Process Monitoring Using Sparse Stationary Subspace Analysis.

Dehao Wu, Donghua Zhou, Maoyin Chen, Hongquan Ji, Yanwen Wang, Xiaopeng Xi

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability.

Dehao Wu, Donghua Zhou, Jingxin Zhang, Maoyin Chen

Comput. Chem. Eng., 2020

2019

Multimode Process Monitoring with Mode Transition Constraints.

Dehao Wu, Maoyin Chen, Donghua Zhou

Proceedings of the CAA Symposium on Fault Detection, 2019