Zhenyu James Kong

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 29

Top Topics

Material Handling

Spatially Correlated

Top Venues

IEEE Trans Autom. Sci. Eng.

J. Intell. Manuf.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jihoon Chung, Bo Shen, Zhenyu James Kong
Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network. J. Intell. Manuf. 35 (5) (2024)
Yinan Wang, Wenbo Sun, Jionghua Jin, Zhenyu James Kong, Xiaowei Yue
WOOD: Wasserstein-Based Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu James Kong, Chenang Liu
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges. CoRR (2024)
Andrew Chung Chee Law, Rongxuan Wang, Jihoon Chung, Ezgi Kucukdeger, Yang Liu, Ted Barron, Blake N. Johnson, Zhenyu James Kong
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold. J. Intell. Manuf. 35 (4) (2024)
Yingqi Lu, Maede Maftouni, Tairan Yang, Panni Zheng, David Young, Zhenyu James Kong, Zheng Li
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques. J. Intell. Manuf. 34 (5) (2023)
Bo Shen, Rakesh Kamath, Hahn Choo, Zhenyu James Kong
Robust Tensor Decomposition Based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing. IEEE Trans Autom. Sci. Eng. 20 (1) (2023)
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Chenang Liu, Rongxuan Wang, Ian Ho, Zhenyu James Kong, Christopher Williams, Suresh Babu, Chase Joslin
Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. J. Intell. Manuf. 34 (6) (2023)
Jihoon Chung, Zhenyu James Kong
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems. CoRR (2023)
Chenang Liu, Rongxuan Wang, Ian Ho, Zhenyu James Kong, Christopher Williams, Suresh Babu, Chase Joslin
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. J. Intell. Manuf. 34 (6) (2023)
Alireza Ebrahimvandi, Niyousha Hosseinichimeh, Zhenyu James Kong
Identifying the Early Signs of Preterm Birth from U.S. Birth Records Using Machine Learning Techniques. Inf. 13 (7) (2022)
Benjamin Standfield, Denis Gracanin, Rongxuan Wang, Zhenyu James Kong
High-Resolution Shape Deformation Prediction in Additive Manufacturing Using 3D CNN. WSC (2022)
Jihoon Chung, Bo Shen, Andrew Chung Chee Law, Zhenyu James Kong
Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing. CoRR (2022)
Bo Shen, Weijun Xie, Zhenyu James Kong
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. CoRR (2022)
Jihoon Chung, Bo Shen, Zhenyu James Kong
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems. CoRR (2022)
Jihoon Chung, Bo Shen, Zhenyu James Kong
Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Process. CoRR (2022)
Bo Shen, Weijun Xie, Zhenyu James Kong
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. J. Mach. Learn. Res. 23 (2022)
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks. CoRR (2022)
Yuxuan Li, Zhangyue Shi, Chenang Liu, Wenmeng Tian, Zhenyu James Kong, Christopher B. Williams
Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection. IEEE Trans Autom. Sci. Eng. 19 (4) (2022)
Bo Shen, Weijun Xie, Zhenyu James Kong
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. IEEE Trans Autom. Sci. Eng. 18 (4) (2021)
Bo Shen, Zhenyu James Kong
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model. CoRR (2020)
Jia Peter Liu, Chenang Liu, Yun Bai, Prahalad K. Rao, Christopher B. Williams, Zhenyu James Kong
Layer-wise spatial modeling of porosity in additive manufacturing. IISE Trans. 51 (2) (2019)
Mohammad Samie Tootooni, Prahalad K. Rao, Chun-An Chou, Zhenyu James Kong
A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes. IEEE Trans Autom. Sci. Eng. 15 (1) (2018)
Babak Barazandeh, Mohammadhussein Rafieisakhaei, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors. CoRR (2018)
Hongyue Sun, Prahalad K. Rao, Zhenyu James Kong, Xinwei Deng, Ran Jin
Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process. IEEE Trans Autom. Sci. Eng. 15 (1) (2018)
Babak Barazandeh, Kaveh Bastani, Mohammadhussein Rafieisakhaei, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum
Robust Sparse Representation-Based Classification Using Online Sensor Data for Monitoring Manual Material Handling Tasks. IEEE Trans Autom. Sci. Eng. 15 (4) (2018)
Jia Peter Liu, Ömer Faruk Beyca, Prahalad K. Rao, Zhenyu James Kong, Satish T. S. Bukkapatnam
Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization. IEEE Trans Autom. Sci. Eng. 14 (1) (2017)
Ömer Faruk Beyca, Prahalad K. Rao, Zhenyu James Kong, Satish T. S. Bukkapatnam, Ranga Komanduri
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. 13 (2) (2016)
Kaveh Bastani, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum, Wenzhen Huang
Online Classification and Sensor Selection Optimization With Applications to Human Material Handling Tasks Using Wearable Sensing Technologies. IEEE Trans. Hum. Mach. Syst. 46 (4) (2016)
Zhiguo Li, Zhenyu James Kong
A Generalized Procedure for Monitoring Right-censored Failure Time Data. Qual. Reliab. Eng. Int. 31 (4) (2015)
Kaveh Bastani, Zhenyu James Kong, Wenzhen Huang, Xiaoming Huo, Yingqing Zhou
Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes. IEEE Trans Autom. Sci. Eng. 10 (1) (2013)
Asil Oztekin, Zhenyu James Kong, Dursun Delen
Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations. Decis. Support Syst. 51 (1) (2011)
Wenzhen Huang, Zhenyu James Kong
Process Capability Sensitivity Analysis for Design Evaluation of Multistage Assembly Processes. IEEE Trans Autom. Sci. Eng. 7 (4) (2010)
Dursun Delen, Asil Oztekin, Zhenyu James Kong
A machine learning-based approach to prognostic analysis of thoracic transplantations. Artif. Intell. Medicine 49 (1) (2010)
Wenzhen Huang, Zhenyu James Kong, Abishek Chennamaraju
Robust Design for Fixture Layout in Multistation Assembly Systems Using Sequential Space Filling Methods. J. Comput. Inf. Sci. Eng. 10 (4) (2010)
Asil Oztekin, Dursun Delen, Zhenyu James Kong
Predicting the graft survival for heart-lung transplantation patients: An integrated data mining methodology. Int. J. Medical Informatics 78 (12) (2009)
Li Qian, Zhenyu James Kong
Supply chain performance with various price-dependent demand functions and component commonality in one product family. CASE (2008)
Wenzhen Huang, Zhenyu James Kong
Process capability sensitivity analysis for design evaluation of multi station assembly systems. CASE (2008)