Xiaoning Jin
Orcid: 0009-0007-8948-0416
According to our database1,
Xiaoning Jin
authored at least 32 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Int. J. Softw. Eng. Knowl. Eng., August, 2024
Unsupervised Adaptive Fleet Battery Pack Fault Detection With Concept Drift Under Evolving Environment.
IEEE Trans Autom. Sci. Eng., July, 2024
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control.
CoRR, 2024
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control.
CoRR, 2024
Mechanical Design Parameter Optimization through Graph-Based Bayesian Optimization and Pseudo Labeling.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control.
IEEE Access, 2023
Optimal Parameters Design for Manufacturability under Unknown Feasibility Constraints.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Trends in intelligent manufacturing research: a keyword co-occurrence network based review.
J. Intell. Manuf., 2022
Model Heterogeneous Federated Learning for Intrusion Detection based on knowledge distillation.
Proceedings of the 12th International Conference on Communication and Network Security, 2022
Robust Physics Guided Data-Driven Fleet Battery Pack Fault Detection Under Dynamic Operating Conditions.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
Deep Variational Autoencoder Classifier for Intelligent Fault Diagnosis Adaptive to Unseen Fault Categories.
IEEE Trans. Reliab., 2021
A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing.
Expert Syst. Appl., 2021
2020
Anisotropic charge carrier transport of optoelectronic functional selenium-containing organic semiconductor materials.
J. Comput. Chem., 2020
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020
2019
Twofold Variation Propagation Modeling and Analysis for Roll-to-Roll Manufacturing Systems.
IEEE Trans Autom. Sci. Eng., 2019
2018
IEEE Commun. Surv. Tutorials, 2018
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
NARNET-based Prognostics Modeling for Deteriorating Systems under Dynamic Operating Conditions.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
Proceedings of the 17th International Symposium on Communications and Information Technologies, 2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
An integrated physical-based and parameter learning method for ship energy prediction under varying operating conditions.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
An assessment method for the impact of missing data in the rough set-based decision fusion.
Intell. Data Anal., 2016
Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016
Proceedings of the 12th International Conference on Natural Computation, 2016
2015
Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule.
J. Intell. Manuf., 2015
Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling.
Eur. J. Oper. Res., 2015
2014
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
2013
IEEE Trans Autom. Sci. Eng., 2013
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013