Zhenyu James Kong

44 papers Misc 1Journal 41Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Coupled Physics-Informed Neural Network for Multi-Physics Modeling in Additive Friction Stir Deposition.
IEEE Trans Autom. Sci. Eng.
Raghav Gnanasambandam, Nikhil Gotawala, Xiaofeng Wu, Benjamin Standfield, Chaoran Dou, Hang Z. Yu, Jian Yu, Zhenyu James Kong
2026 J jnl
Geometry-Aware Physics Informed Point Net (GeoPIPN) for Fast Thermal Distribution Prediction in Additive Manufacturing of Unseen Part Geometries.
IEEE Trans Autom. Sci. Eng.
Amirul Islam Saimon, Raghav Gnanasambandam, Zhenyu James Kong
2025 J jnl
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults With Application to Multistation Assembly Systems.
IEEE Trans Autom. Sci. Eng.
Jihoon Chung, Zhenyu James Kong
2024 J jnl
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges.
CoRR
Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu James Kong, Chenang Liu
2024 J jnl
Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network.
J. Intell. Manuf.
Jihoon Chung, Bo Shen, Zhenyu James Kong
2024 J jnl
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold.
J. Intell. Manuf.
Andrew Chung Chee Law, Rongxuan Wang, Jihoon Chung, Ezgi Kucukdeger, Yang Liu, Ted Barron, Blake N. Johnson, Zhenyu James Kong
2024 J jnl
WOOD: Wasserstein-Based Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yinan Wang, Wenbo Sun, Jionghua Jin, Zhenyu James Kong, Xiaowei Yue
2023 J jnl
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems.
CoRR
Jihoon Chung, Zhenyu James Kong
2023 J jnl
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques.
J. Intell. Manuf.
Yingqi Lu, Maede Maftouni, Tairan Yang, Panni Zheng, David Young, Zhenyu James Kong, Zheng Li
2023 J jnl
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach.
J. Intell. Manuf.
Chenang Liu, Rongxuan Wang, Ian Ho, Zhenyu James Kong, Christopher Williams, Suresh Babu, Chase Joslin
2023 J jnl
Robust Tensor Decomposition Based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing.
IEEE Trans Autom. Sci. Eng.
Bo Shen, Rakesh Kamath, Hahn Choo, Zhenyu James Kong
2023 J jnl
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong
2023 J jnl
Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach.
J. Intell. Manuf.
Chenang Liu, Rongxuan Wang, Ian Ho, Zhenyu James Kong, Christopher Williams, Suresh Babu, Chase Joslin
2022 J jnl
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems.
CoRR
Jihoon Chung, Bo Shen, Zhenyu James Kong
2022 J jnl
Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection.
IEEE Trans Autom. Sci. Eng.
Yuxuan Li, Zhangyue Shi, Chenang Liu, Wenmeng Tian, Zhenyu James Kong, Christopher B. Williams
2022 Misc conf
High-Resolution Shape Deformation Prediction in Additive Manufacturing Using 3D CNN.
WSC
Benjamin Standfield, Denis Gracanin, Rongxuan Wang, Zhenyu James Kong
2022 J jnl
Identifying the Early Signs of Preterm Birth from U.S. Birth Records Using Machine Learning Techniques.
Inf.
Alireza Ebrahimvandi, Niyousha Hosseinichimeh, Zhenyu James Kong
2022 J jnl
Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Process.
CoRR
Jihoon Chung, Bo Shen, Zhenyu James Kong
2022 J jnl
Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing.
CoRR
Jihoon Chung, Bo Shen, Andrew Chung Chee Law, Zhenyu James Kong
2022 J jnl
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks.
CoRR
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong
2022 J jnl
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee.
CoRR
Bo Shen, Weijun Xie, Zhenyu James Kong
2022 J jnl
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee.
J. Mach. Learn. Res.
Bo Shen, Weijun Xie, Zhenyu James Kong
2022 J jnl
Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing.
Technometrics
Bo Shen, Rongxuan Wang, Andrew Chung Chee Law, Rakesh Kamath, Hahn Choo, Zhenyu James Kong
2021 J jnl
An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing.
IISE Trans.
Chenang Liu, Zhenyu James Kong, Suresh Babu, Chase Joslin, James Ferguson
2021 J jnl
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing.
IEEE Trans Autom. Sci. Eng.
Bo Shen, Weijun Xie, Zhenyu James Kong
2021 J jnl
WOOD: Wasserstein-based Out-of-Distribution Detection.
CoRR
Yinan Wang, Wenbo Sun, Jionghua (Judy) Jin, Zhenyu James Kong, Xiaowei Yue
2020 J jnl
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model.
CoRR
Bo Shen, Zhenyu James Kong
2019 J jnl
Layer-wise spatial modeling of porosity in additive manufacturing.
IISE Trans.
Jia Peter Liu, Chenang Liu, Yun Bai, Prahalad K. Rao, Christopher B. Williams, Zhenyu James Kong
2018 J jnl
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors.
CoRR
Babak Barazandeh, Mohammadhussein Rafieisakhaei, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum
2018 J jnl
A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes.
IEEE Trans Autom. Sci. Eng.
Mohammad Samie Tootooni, Prahalad K. Rao, Chun-An Chou, Zhenyu James Kong
2018 J jnl
Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process.
IEEE Trans Autom. Sci. Eng.
Hongyue Sun, Prahalad K. Rao, Zhenyu James Kong, Xinwei Deng, Ran Jin
2018 J jnl
Robust Sparse Representation-Based Classification Using Online Sensor Data for Monitoring Manual Material Handling Tasks.
IEEE Trans Autom. Sci. Eng.
Babak Barazandeh, Kaveh Bastani, Mohammadhussein Rafieisakhaei, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum
2017 J jnl
Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization.
IEEE Trans Autom. Sci. Eng.
Jia Peter Liu, Ömer Faruk Beyca, Prahalad K. Rao, Zhenyu James Kong, Satish T. S. Bukkapatnam
2016 J jnl
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.
Ömer Faruk Beyca, Prahalad K. Rao, Zhenyu James Kong, Satish T. S. Bukkapatnam, Ranga Komanduri
2016 J jnl
Online Classification and Sensor Selection Optimization With Applications to Human Material Handling Tasks Using Wearable Sensing Technologies.
IEEE Trans. Hum. Mach. Syst.
Kaveh Bastani, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum, Wenzhen Huang
2015 J jnl
A Generalized Procedure for Monitoring Right-censored Failure Time Data.
Qual. Reliab. Eng. Int.
Zhiguo Li, Zhenyu James Kong
2013 J jnl
Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes.
IEEE Trans Autom. Sci. Eng.
Kaveh Bastani, Zhenyu James Kong, Wenzhen Huang, Xiaoming Huo, Yingqing Zhou
2011 J jnl
Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations.
Decis. Support Syst.
Asil Oztekin, Zhenyu James Kong, Dursun Delen
2010 J jnl
A machine learning-based approach to prognostic analysis of thoracic transplantations.
Artif. Intell. Medicine
Dursun Delen, Asil Oztekin, Zhenyu James Kong
2010 J jnl
Process Capability Sensitivity Analysis for Design Evaluation of Multistage Assembly Processes.
IEEE Trans Autom. Sci. Eng.
Wenzhen Huang, Zhenyu James Kong
2010 J jnl
Robust Design for Fixture Layout in Multistation Assembly Systems Using Sequential Space Filling Methods.
J. Comput. Inf. Sci. Eng.
Wenzhen Huang, Zhenyu James Kong, Abishek Chennamaraju
2009 J jnl
Predicting the graft survival for heart-lung transplantation patients: An integrated data mining methodology.
Int. J. Medical Informatics
Asil Oztekin, Dursun Delen, Zhenyu James Kong
2008 — conf
Process capability sensitivity analysis for design evaluation of multi station assembly systems.
CASE
Wenzhen Huang, Zhenyu James Kong
2008 — conf
Supply chain performance with various price-dependent demand functions and component commonality in one product family.
CASE
Li Qian, Zhenyu James Kong