Keke Huang

Orcid: 0000-0003-2190-7114

According to our database¹, Keke Huang authored at least 99 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2024

Multimodel Self-Learning Predictive Control Method With Industrial Application.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., November, 2024

Process Manufacturing Intelligence Empowered by Industrial Metaverse: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., November, 2024

BAKAS-UAV: A Secure Blockchain-Assisted Authentication and Key Agreement Scheme for Unmanned Aerial Vehicles Networks.

[BibT_eX]

[DOI]

Keke Huang

Huidan Hu

Changlu Lin

IEEE Internet Things J., November, 2024

Data-Driven Raw Material Robust Procurement for Non-Ferrous Metal Smelter Under Price and Demand Uncertainties.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., September, 2024

Remote Robust State Estimation for Nonlinear Cyber-Physical Systems Under Denial-of-Service Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., September, 2024

$H_\infty$ Performance Analysis of Large-Scale Networked Systems.

[BibT_eX]

[DOI]

IEEE Syst. J., September, 2024

Physical-Knowledge Embedded Convolutional Neural Network for Aluminum Electrolysis Superheat Degree Identification.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., August, 2024

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

[BibT_eX]

[DOI]

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

Detecting Intelligent Load Redistribution Attack Based on Power Load Pattern Learning in Cyber-Physical Power Systems.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., June, 2024

A Dynamics-Learning Multirate Estimation Approach for the Feeding Condition Perception of Complex Industry Processes.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., May, 2024

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

[BibT_eX]

[DOI]

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

Digital twin driven soft sensing for key variables in zinc rotary kiln.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, April, 2024

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

[BibT_eX]

[DOI]

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

Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Robust Fusion Estimation Under Data-Driven Transmission Strategy for Multisensor Systems With Random Packet Drops.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

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

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2024

Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

LSTM-MPC: A Deep Learning Based Predictive Control Method for Multimode Process Control.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., November, 2023

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

[BibT_eX]

[DOI]

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

A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., October, 2023

MCTAN: A Novel Multichannel Temporal Attention-Based Network for Industrial Health Indicator Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., June, 2023

Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning.

[BibT_eX]

[DOI]

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

CAT: Learning to collaborate channel and spatial attention from multi-information fusion.

[BibT_eX]

[DOI]

IET Comput. Vis., April, 2023

Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, April, 2023

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

[BibT_eX]

[DOI]

Neural Networks, January, 2023

Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2023

Distributed Network Reconstruction Based on Binary Compressed Sensing via ADMM.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2023

Robust Structure Identification of Industrial Cyber-Physical System From Sparse Data: A Network Science Perspective.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2023

A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2023

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks.

[BibT_eX]

[DOI]

Keke Huang

Pietro Liò

CoRR, 2023

Node-wise Diffusion for Scalable Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

LDfuzz: A Directed Greybox Fuzzer for Solidity Smart Contract.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

Efficient and Effective Edge-wise Graph Representation Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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".

[BibT_eX]

[DOI]

Keke Huang

Yongyan Guo

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.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Unified Stationary and Nonstationary Data Representation for Process Monitoring in IIoT.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Industrial Process Modeling and Monitoring Based on Jointly Specific and Shared Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

Reconstruction of Tree Network via Evolutionary Game Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Outlier Detection for Process Monitoring in Industrial Cyber-Physical Systems.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2022

Structure inference of networked system with the synergy of deep residual network and fully connected layer network.

[BibT_eX]

[DOI]

Neural Networks, 2022

Static and Dynamic Joint Analysis for Operation Condition Division of Industrial Process With Incremental Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2022

Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2022

Scalable and Effective Bipartite Network Embedding.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2021

A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

A Hybrid First Principles and Data-Driven Process Monitoring Method for Zinc Smelting Roasting Process.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Multimode Process Monitoring and Mode Identification Based on Multiple Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

Reconstructing Heterogeneous Networks via Compressive Sensing and Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Global Reconstruction of Complex Network Topology via Structured Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Syst. J., 2021

Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

A geometry constrained dictionary learning method for industrial process monitoring.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Distributed dictionary learning for industrial process monitoring with big data.

[BibT_eX]

[DOI]

Appl. Intell., 2021

A deep transfer learning method based on stacked autoencoder for cross-domain fault diagnosis.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2021

Effective and Scalable Clustering on Massive Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Streaming Algorithms for Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Efficient approximation algorithms for adaptive influence maximization.

[BibT_eX]

[DOI]

VLDB J., 2020

Incorporating Latent Constraints to Enhance Inference of Network Structure.

[BibT_eX]

[DOI]

Keke Huang

Zhen Wang

Marko Jusup

IEEE Trans. Netw. Sci. Eng., 2020

Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2020

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Structure Dictionary Learning-Based Multimode Process Monitoring and its Application to Aluminum Electrolysis Process.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2020

Reweighted Compressed Sensing-Based Smart Grids Topology Reconstruction With Application to Identification of Power Line Outage.

[BibT_eX]

[DOI]

IEEE Syst. J., 2020

Position-constrained containment for second-order discrete-time multi-agent systems.

[BibT_eX]

[DOI]

Peng Lin

Gang Li

Keke Huang

Syst. Control. Lett., 2020

SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction.

[BibT_eX]

[DOI]

Neural Networks, 2020

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Efficient Approximation Algorithms for Adaptive Target Profit Maximization.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Efficient adaptive approximation algorithms in online social networks

[BibT_eX]

[DOI]

Keke Huang

PhD thesis, 2019

Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process.

[BibT_eX]

[DOI]

Neurocomputing, 2019

A hypernetwork-based approach to collaborative retrieval and reasoning of engineering design knowledge.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2019

Blind Topology Identification for Smart Grid Based on Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Efficient Approximation Algorithms for Adaptive Seed Minimization.

[BibT_eX]

[DOI]

Jing Tang

Keke Huang

Xiaokui Xiao

Laks V. S. Lakshmanan

Xueyan Tang

Aixin Sun

Andrew Lim

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Efficient Algorithms for Adaptive Influence Maximization.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Reaction-diffusion equation based image restoration.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2018

Heterogeneous cooperative belief for social dilemma in multi-agent system.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2018

Promote of cooperation in networked multiagent system based on fitness control.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2018

2017

Revisiting the Stop-and-Stare Algorithms for Influence Maximization.

[BibT_eX]

[DOI]

Laks V. S. Lakshmanan

Proc. VLDB Endow., 2017

Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study".

[BibT_eX]

[DOI]

Laks V. S. Lakshmanan

CoRR, 2017

Behavior-based cellular automaton model for pedestrian dynamics.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2017

A weighted evolving network model for pedestrian evacuation.

[BibT_eX]

[DOI]

Keke Huang

Xiaoping Zheng

Appl. Math. Comput., 2017

2016

On the performance of cloud storage applications with global measurement.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2015

Effect of heterogeneous sub-populations on the evolution of cooperation.

[BibT_eX]

[DOI]

Keke Huang

Xiaoping Zheng

Yunpeng Su

Appl. Math. Comput., 2015

Keke Huang

Timeline

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On csauthors.net:

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