Process capability sensitivity analysis for design evaluation of multi station assembly systems. - Wenzhen Huang; Zhenyu James Kong (CASE, 2008)

Supply chain performance with various price-dependent demand functions and component commonality in one product family. - Li Qian; Zhenyu James Kong (CASE, 2008)

Predicting the graft survival for heart-lung transplantation patients: An integrated data mining methodology. - Asil Oztekin; Dursun Delen; Zhenyu James Kong (Int. J. Medical Informatics, 2009)

A machine learning-based approach to prognostic analysis of thoracic transplantations. - Dursun Delen; Asil Oztekin; Zhenyu James Kong (Artif. Intell. Medicine, 2010)

Robust Design for Fixture Layout in Multistation Assembly Systems Using Sequential Space Filling Methods. - Wenzhen Huang; Zhenyu James Kong; Abishek Chennamaraju (J. Comput. Inf. Sci. Eng., 2010)

Process Capability Sensitivity Analysis for Design Evaluation of Multistage Assembly Processes. - Wenzhen Huang; Zhenyu James Kong (IEEE Trans Autom. Sci. Eng., 2010)

Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations. - Asil Oztekin; Zhenyu James Kong; Dursun Delen (Decis. Support Syst., 2011)

Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes. - Kaveh Bastani; Zhenyu James Kong; Wenzhen Huang; Xiaoming Huo; Yingqing Zhou (IEEE Trans Autom. Sci. Eng., 2013)

A Generalized Procedure for Monitoring Right-censored Failure Time Data. - Zhiguo Li; Zhenyu James Kong (Qual. Reliab. Eng. Int., 2015)

Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory. - Ömer Faruk Beyca; Prahalad K. Rao; Zhenyu James Kong; Satish T. S. Bukkapatnam; Ranga Komanduri (IEEE Trans Autom. Sci. Eng., 2016)

Online Classification and Sensor Selection Optimization With Applications to Human Material Handling Tasks Using Wearable Sensing Technologies. - Kaveh Bastani; Sunwook Kim; Zhenyu James Kong; Maury A. Nussbaum; Wenzhen Huang (IEEE Trans. Hum. Mach. Syst., 2016)

Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization. - Jia Peter Liu; Ömer Faruk Beyca; Prahalad K. Rao; Zhenyu James Kong; Satish T. S. Bukkapatnam (IEEE Trans Autom. Sci. Eng., 2017)

A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors. - Babak Barazandeh; Mohammadhussein Rafieisakhaei; Sunwook Kim; Zhenyu James Kong; Maury A. Nussbaum (CoRR, 2018)

Robust Sparse Representation-Based Classification Using Online Sensor Data for Monitoring Manual Material Handling Tasks. - Babak Barazandeh; Kaveh Bastani; Mohammadhussein Rafieisakhaei; Sunwook Kim; Zhenyu James Kong; Maury A. Nussbaum (IEEE Trans Autom. Sci. Eng., 2018)

Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process. - Hongyue Sun; Prahalad K. Rao; Zhenyu James Kong; Xinwei Deng; Ran Jin (IEEE Trans Autom. Sci. Eng., 2018)

A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes. - Mohammad Samie Tootooni; Prahalad K. Rao; Chun-An Chou; Zhenyu James Kong (IEEE Trans Autom. Sci. Eng., 2018)

Layer-wise spatial modeling of porosity in additive manufacturing. - Jia Peter Liu; Chenang Liu; Yun Bai; Prahalad K. Rao; Christopher B. Williams; Zhenyu James Kong (IISE Trans., 2019)

Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model. - Bo Shen 005; Zhenyu James Kong (CoRR, 2020)

An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing. - Chenang Liu; Zhenyu James Kong; Suresh Babu; Chase Joslin; James Ferguson (IISE Trans., 2021)

Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. - Bo Shen 005; Weijun Xie 001; Zhenyu James Kong (IEEE Trans Autom. Sci. Eng., 2021)

High-Resolution Shape Deformation Prediction in Additive Manufacturing Using 3D CNN. - Benjamin Standfield; Denis Gracanin; Rongxuan Wang; Zhenyu James Kong (WSC, 2022)

Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks. - Raghav Gnanasambandam; Bo Shen 005; Jihoon Chung; Xubo Yue; Zhenyu James Kong (CoRR, 2022)

A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems. - Jihoon Chung; Bo Shen 005; Zhenyu James Kong (CoRR, 2022)

Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing. - Jihoon Chung; Bo Shen 005; Andrew Chung Chee Law; Zhenyu James Kong (CoRR, 2022)

Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Process. - Jihoon Chung; Bo Shen 005; Zhenyu James Kong (CoRR, 2022)

Identifying the Early Signs of Preterm Birth from U.S. Birth Records Using Machine Learning Techniques. - Alireza Ebrahimvandi; Niyousha Hosseinichimeh; Zhenyu James Kong (Inf., 2022)

Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. - Bo Shen 005; Weijun Xie 001; Zhenyu James Kong (J. Mach. Learn. Res., 2022)

Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection. - Yuxuan Li; Zhangyue Shi; Chenang Liu; Wenmeng Tian; Zhenyu James Kong; Christopher B. Williams (IEEE Trans Autom. Sci. Eng., 2022)

Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing. - Bo Shen 005; Rongxuan Wang; Andrew Chung Chee Law; Rakesh Kamath; Hahn Choo; Zhenyu James Kong (Technometrics, 2022)

Robust Tensor Decomposition Based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing. - Bo Shen 005; Rakesh Kamath; Hahn Choo; Zhenyu James Kong (IEEE Trans Autom. Sci. Eng., 2023)

A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques. - Yingqi Lu; Maede Maftouni; Tairan Yang; Panni Zheng; David Young; Zhenyu James Kong; Zheng Li (J. Intell. Manuf., 2023)

Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. - Chenang Liu; Rongxuan Wang; Ian Ho; Zhenyu James Kong; Christopher Williams 002; Suresh Babu; Chase Joslin (J. Intell. Manuf., 2023)

Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. - Chenang Liu; Rongxuan Wang; Ian Ho; Zhenyu James Kong; Christopher Williams 002; Suresh Babu; Chase Joslin (J. Intell. Manuf., 2023)

Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. - Raghav Gnanasambandam; Bo Shen 005; Jihoon Chung; Xubo Yue; Zhenyu James Kong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges. - Amirul Islam Saimon; Emmanuel Yangue; Xiaowei Yue; Zhenyu James Kong; Chenang Liu (CoRR, 2024)

WOOD: Wasserstein-Based Out-of-Distribution Detection. - Yinan Wang; Wenbo Sun; Jionghua Jin 001; Zhenyu James Kong; Xiaowei Yue (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold. - Andrew Chung Chee Law; Rongxuan Wang; Jihoon Chung; Ezgi Kucukdeger; Yang Liu; Ted Barron; Blake N. Johnson; Zhenyu James Kong (J. Intell. Manuf., 2024)

Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network. - Jihoon Chung; Bo Shen 005; Zhenyu James Kong (J. Intell. Manuf., 2024)

A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults With Application to Multistation Assembly Systems. - Jihoon Chung; Zhenyu James Kong (IEEE Trans Autom. Sci. Eng., 2025)