Keke Huang
Orcid: 0000-0003-2190-7114
According to our database1,
Keke Huang
authored at least 85 papers
between 2015 and 2024.
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Bibliography
2024
Detecting Intelligent Load Redistribution Attack Based on Power Load Pattern Learning in Cyber-Physical Power Systems.
IEEE Trans. Ind. Electron., June, 2024
Knowledge-Informed Neural Network for Nonlinear Model Predictive Control With Industrial Applications.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
IEEE Trans. Ind. Informatics, April, 2024
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application.
IEEE Trans Autom. Sci. Eng., January, 2024
Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
Robust Fusion Estimation Under Data-Driven Transmission Strategy for Multisensor Systems With Random Packet Drops.
IEEE Trans. Instrum. Meas., 2024
CoRR, 2024
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation.
CoRR, 2024
2023
LSTM-MPC: A Deep Learning Based Predictive Control Method for Multimode Process Control.
IEEE Trans. Ind. Electron., November, 2023
Rotary Kiln Temperature Control Under Multiple Operating Conditions: an Error-Triggered Adaptive Model Predictive Control Solution.
IEEE Trans. Control. Syst. Technol., November, 2023
A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications.
IEEE Trans. Artif. Intell., October, 2023
MCTAN: A Novel Multichannel Temporal Attention-Based Network for Industrial Health Indicator Prediction.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning.
IEEE Trans. Cybern., June, 2023
Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning.
IEEE Trans. Control. Syst. Technol., May, 2023
CAT: Learning to collaborate channel and spatial attention from multi-information fusion.
IET Comput. Vis., April, 2023
Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR.
Adv. Eng. Informatics, April, 2023
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network.
Neural Networks, January, 2023
Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks.
IEEE Trans. Netw. Sci. Eng., 2023
IEEE Trans. Netw. Sci. Eng., 2023
Temperature Field Prediction Model for Zinc Oxide Rotary Volatile Kiln Based on the Fusion of Thermodynamics and Infrared Images.
IEEE Trans. Instrum. Meas., 2023
Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning.
IEEE Trans. Ind. Informatics, 2023
Robust Structure Identification of Industrial Cyber-Physical System From Sparse Data: A Network Science Perspective.
IEEE Trans Autom. Sci. Eng., 2023
A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application.
IEEE Internet Things J., 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Operation Output-Feedback Predictive Control Based on Model Order Reduction and Predictive Optimization in Industrial Processes.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Interactive Design of Auxiliary Makeup APP for People with Abnormal Color Perception Based on the Concept of "Inclusive Design".
Proceedings of the Universal Access in Human-Computer Interaction, 2023
2022
Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion.
IEEE Trans. Instrum. Meas., 2022
Unified Stationary and Nonstationary Data Representation for Process Monitoring in IIoT.
IEEE Trans. Instrum. Meas., 2022
Industrial Process Modeling and Monitoring Based on Jointly Specific and Shared Dictionary Learning.
IEEE Trans. Instrum. Meas., 2022
Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Cybern., 2022
IEEE Trans Autom. Sci. Eng., 2022
Structure inference of networked system with the synergy of deep residual network and fully connected layer network.
Neural Networks, 2022
Static and Dynamic Joint Analysis for Operation Condition Division of Industrial Process With Incremental Learning.
IEEE Internet Things J., 2022
VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process.
Eng. Appl. Artif. Intell., 2022
Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity.
Sci. China Inf. Sci., 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
2021
False Data Injection Attacks Detection in Smart Grid: A Structural Sparse Matrix Separation Method.
IEEE Trans. Netw. Sci. Eng., 2021
A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating.
IEEE Trans. Instrum. Meas., 2021
A Hybrid First Principles and Data-Driven Process Monitoring Method for Zinc Smelting Roasting Process.
IEEE Trans. Instrum. Meas., 2021
Multimode Process Monitoring and Mode Identification Based on Multiple Dictionary Learning.
IEEE Trans. Instrum. Meas., 2021
A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Global Reconstruction of Complex Network Topology via Structured Compressive Sensing.
IEEE Syst. J., 2021
Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization.
Proc. VLDB Endow., 2021
Inf. Sci., 2021
Appl. Intell., 2021
A deep transfer learning method based on stacked autoencoder for cross-domain fault diagnosis.
Appl. Math. Comput., 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
VLDB J., 2020
IEEE Trans. Netw. Sci. Eng., 2020
IEEE Trans. Knowl. Data Eng., 2020
Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation.
IEEE Trans. Instrum. Meas., 2020
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.
IEEE Trans. Cybern., 2020
Structure Dictionary Learning-Based Multimode Process Monitoring and its Application to Aluminum Electrolysis Process.
IEEE Trans Autom. Sci. Eng., 2020
Reweighted Compressed Sensing-Based Smart Grids Topology Reconstruction With Application to Identification of Power Line Outage.
IEEE Syst. J., 2020
Syst. Control. Lett., 2020
SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction.
Neural Networks, 2020
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.
Neural Comput. Appl., 2020
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network.
Knowl. Based Syst., 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
2019
PhD thesis, 2019
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process.
Neurocomputing, 2019
A hypernetwork-based approach to collaborative retrieval and reasoning of engineering design knowledge.
Adv. Eng. Informatics, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
2018
Appl. Math. Comput., 2018
Appl. Math. Comput., 2018
2017
Proc. VLDB Endow., 2017
Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study".
CoRR, 2017
Appl. Math. Comput., 2017
Appl. Math. Comput., 2017
2016
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016
2015
Behavioral evolution in evacuation crowd based on heterogeneous rationality of small groups.
Appl. Math. Comput., 2015
Appl. Math. Comput., 2015