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ORCIDZhenyu James Kong
Person information
- affiliation: Virginia Tech, Blacksburg, VA, USA
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2020 – today
- 2024
[j28]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): 1825-1844 (2024)- [j27]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): 2387-2406 (2024) - [j26]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): 944-956 (2024) - [i10]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 abs/2403.00669 (2024) - 2023
- [j25]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): 2463-2475 (2023) - [j24]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): 2673-2689 (2023) - [j23]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): 2691 (2023) - [j22]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): 15588-15603 (2023) - [j21]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): 583-596 (2023) - [i9]Jihoon Chung, Zhenyu James Kong:
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems. CoRR abs/2310.16058 (2023) - 2022
- [j20]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): 310 (2022) - [j19]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: 217:1-217:40 (2022) - [j18]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): 3338-3355 (2022) - [j17]Bo Shen, Rongxuan Wang, Andrew Chung Chee Law, Rakesh Kamath, Hahn Choo, Zhenyu James Kong:
Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing. Technometrics 64(1): 2-17 (2022) - [c3]Benjamin Standfield, Denis Gracanin, Rongxuan Wang, Zhenyu James Kong:
High-Resolution Shape Deformation Prediction in Additive Manufacturing Using 3D CNN. WSC 2022: 641-652 - [i8]Bo Shen, Weijun Xie, Zhenyu James Kong:
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. CoRR abs/2203.16328 (2022) - [i7]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 abs/2204.12589 (2022) - [i6]Jihoon Chung, Bo Shen, Zhenyu James Kong:
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems. CoRR abs/2210.16176 (2022) - [i5]Jihoon Chung, Bo Shen, Andrew Chung Chee Law, Zhenyu James Kong:
Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing. CoRR abs/2210.17272 (2022) - [i4]Jihoon Chung, Bo Shen, Zhenyu James Kong:
Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Process. CoRR abs/2210.17274 (2022) - 2021
- [j16]Chenang Liu, Zhenyu James Kong, Suresh Babu, Chase Joslin, James Ferguson:
An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing. IISE Trans. 53(11): 1215-1230 (2021) - [j15]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): 1998-2010 (2021) - [i3]Yinan Wang, Wenbo Sun, Jionghua (Judy) Jin, Zhenyu James Kong, Xiaowei Yue:
WOOD: Wasserstein-based Out-of-Distribution Detection. CoRR abs/2112.06384 (2021) - 2020
- [i2]Bo Shen, Zhenyu James Kong:
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model. CoRR abs/2008.02211 (2020)
2010 – 2019
- 2019
- [j14]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): 109-123 (2019) - 2018
- [j13]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): 127-144 (2018) - [j12]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): 393-403 (2018) - [j11]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): 1573-1584 (2018) - [i1]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 abs/1810.09447 (2018) - 2017
- [j10]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): 208-221 (2017) - 2016
- [j9]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): 1033-1044 (2016) - [j8]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): 485-497 (2016) - 2015
- [j7]Zhiguo Li, Zhenyu James Kong:
A Generalized Procedure for Monitoring Right-censored Failure Time Data. Qual. Reliab. Eng. Int. 31(4): 695-705 (2015) - 2013
- [j6]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): 124-136 (2013) - 2011
- [j5]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): 155-166 (2011) - 2010
- [j4]Dursun Delen, Asil Oztekin, Zhenyu James Kong:
A machine learning-based approach to prognostic analysis of thoracic transplantations. Artif. Intell. Medicine 49(1): 33-42 (2010) - [j3]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) - [j2]Wenzhen Huang, Zhenyu James Kong:
Process Capability Sensitivity Analysis for Design Evaluation of Multistage Assembly Processes. IEEE Trans Autom. Sci. Eng. 7(4): 736-745 (2010)
2000 – 2009
- 2009
- [j1]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): 84-96 (2009) - 2008
- [c2]Wenzhen Huang, Zhenyu James Kong:
Process capability sensitivity analysis for design evaluation of multi station assembly systems. CASE 2008: 400-405 - [c1]Li Qian, Zhenyu James Kong:
Supply chain performance with various price-dependent demand functions and component commonality in one product family. CASE 2008: 760-765
Coauthor Index
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last updated on 2024-09-13 01:36 CEST by the dblp team
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