Zhenyu James Kong
Orcid: 0000-0002-8827-502XAffiliations:
- Virginia Tech, Blacksburg, VA, USA
According to our database1,
Zhenyu James Kong
authored at least 39 papers
between 2008 and 2024.
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Bibliography
2024
Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network.
J. Intell. Manuf., June, 2024
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold.
J. Intell. Manuf., April, 2024
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges.
CoRR, 2024
2023
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach.
J. Intell. Manuf., August, 2023
Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach.
J. Intell. Manuf., August, 2023
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques.
J. Intell. Manuf., June, 2023
Robust Tensor Decomposition Based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2023
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems.
CoRR, 2023
2022
Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing.
Technometrics, 2022
Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection.
IEEE Trans Autom. Sci. Eng., 2022
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee.
J. Mach. Learn. Res., 2022
Identifying the Early Signs of Preterm Birth from U.S. Birth Records Using Machine Learning Techniques.
Inf., 2022
Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Process.
CoRR, 2022
Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing.
CoRR, 2022
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems.
CoRR, 2022
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks.
CoRR, 2022
Proceedings of the Winter Simulation Conference, 2022
2021
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2021
An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing.
IISE Trans., 2021
2020
CoRR, 2020
2019
2018
A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes.
IEEE Trans Autom. Sci. Eng., 2018
Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process.
IEEE Trans Autom. Sci. Eng., 2018
Robust Sparse Representation-Based Classification Using Online Sensor Data for Monitoring Manual Material Handling Tasks.
IEEE Trans Autom. Sci. Eng., 2018
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors.
CoRR, 2018
2017
Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization.
IEEE Trans Autom. Sci. Eng., 2017
2016
Online Classification and Sensor Selection Optimization With Applications to Human Material Handling Tasks Using Wearable Sensing Technologies.
IEEE Trans. Hum. Mach. Syst., 2016
Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory.
IEEE Trans Autom. Sci. Eng., 2016
2015
Qual. Reliab. Eng. Int., 2015
2013
Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes.
IEEE Trans Autom. Sci. Eng., 2013
2011
Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations.
Decis. Support Syst., 2011
2010
Process Capability Sensitivity Analysis for Design Evaluation of Multistage Assembly Processes.
IEEE Trans Autom. Sci. Eng., 2010
Robust Design for Fixture Layout in Multistation Assembly Systems Using Sequential Space Filling Methods.
J. Comput. Inf. Sci. Eng., 2010
A machine learning-based approach to prognostic analysis of thoracic transplantations.
Artif. Intell. Medicine, 2010
2009
Predicting the graft survival for heart-lung transplantation patients: An integrated data mining methodology.
Int. J. Medical Informatics, 2009
2008
Supply chain performance with various price-dependent demand functions and component commonality in one product family.
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008
Process capability sensitivity analysis for design evaluation of multi station assembly systems.
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008