Zhenyu (James) Kong

About Zhenyu (James) Kong

Zhenyu (James) Kong, With an exceptional h-index of 35 and a recent h-index of 26 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of Smart Manufacturing Analytics Research & Technology (SMART) Lab.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ensuring Additive Manufacturing Quality and Cyber-Physical Security via Side-Channel Measurements and Transmissions

Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing

Imbalanced Spectral Data Analysis using Data Augmentation based on the Generative Adversarial Network

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges

A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques

Self-scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks

Real-time process monitoring and closed-loop control on laser power via a customized laser powder bed fusion platform

Wood: Wasserstein-based out-of-distribution detection

Zhenyu (James) Kong Information

University

Position

Grado Department of Industrial and Systems Engineering

Citations(all)

3660

Citations(since 2020)

2300

Cited By

2081

hIndex(all)

35

hIndex(since 2020)

26

i10Index(all)

67

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

Zhenyu (James) Kong Skills & Research Interests

Smart Manufacturing Analytics Research & Technology (SMART) Lab

Top articles of Zhenyu (James) Kong

Title

Journal

Author(s)

Publication Date

Ensuring Additive Manufacturing Quality and Cyber-Physical Security via Side-Channel Measurements and Transmissions

Journal of Manufacturing Systems

Nathan Raeker-Jordan

Jihoon Chung

Zhenyu (James) Kong

Christopher Bryant Williams

2024/2

Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing

IISE Transactions

Raghav Gnanasambandam

Bo Shen

Andrew Chung Chee Law

Chaoran Dou

Zhenyu Kong

2024/1/31

Imbalanced Spectral Data Analysis using Data Augmentation based on the Generative Adversarial Network

Jihoon Chung

Junru Zhang

Amirul Islam Saimon

Yang Liu

Blake N Johnson

...

2024/1/23

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges

Amirul Islam Saimon

Emmanuel Yangue

Xiaowei Yue

Chenang Liu

2024/3

A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques

Journal of intelligent manufacturing

Yingqi Lu

Maede Maftouni

Tairan Yang

Panni Zheng

David Young

...

2023/6

Self-scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

Raghav Gnanasambandam

Bo Shen

Jihoon Chung

Xubo Yue

Zhenyu Kong

2023/8/23

Real-time process monitoring and closed-loop control on laser power via a customized laser powder bed fusion platform

Additive Manufacturing

Rongxuan Wang

Benjamin Standfield

Chaoran Dou

Andrew C Law

Zhenyu James Kong

2023/3/25

Wood: Wasserstein-based out-of-distribution detection

IEEE Transactions on Pattern Analysis and Machine Intelligence

Yinan Wang

Wenbo Sun

Jionghua Jin

Zhenyu Kong

Xiaowei Yue

2023/10/31

MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud

Journal of Manufacturing Science and Engineering

Yinan Wang

Wenbo Sun

Jionghua Jin

Zhenyu Kong

Xiaowei Yue

2023/3/1

Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold

Journal of Intelligent Manufacturing

Andrew Chung Chee Law

Rongxuan Wang

Jihoon Chung

Ezgi Kucukdeger

Yang Liu

...

2024/4

Online Monitoring and Control of Polymer Additive Manufacturing Processes

Chaoran Dou

Daniel Elkins

Zhenyu Kong

Chenang Liu

2023/6/30

Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing

Authorea Preprints

Bo Shen

Rakesh R Kamath

Zhenyu Kong

2023/10/30

A 3D Convolutional Neural Networks-Based Model for High-Resolution Prediction and Compensation of Geometrical Errors of Additive Manufactured Parts

Benjamin Standfield

Zhenyu Kong

2023/6/12

A Deep Learning Technique for Parameter Estimation in System Dynamics Models

Available at SSRN 4440489

Maede Maftouni

Navid Ghaffarzadegan

Zhenyu Kong

2023/5/7

Rapid, autonomous high-throughput characterization of hydrogel rheological properties via automated sensing and physics-guided machine learning

Applied Materials Today

Junru Zhang

Yang Liu

Manjot Singh

Yuxin Tong

Ezgi Kucukdeger

...

2023/2/1

A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems

arXiv preprint arXiv:2310.16058

Jihoon Chung

Zhenyu Kong

2023/10/20

Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network

Journal of Intelligent Manufacturing

Jihoon Chung

Bo Shen

Zhenyu James Kong

2023/6

Multi-task Gaussian process upper confidence bound for hyperparameter tuning and its application for simulation studies of additive manufacturing

IISE Transactions

Bo Shen

Raghav Gnanasambandam

Rongxuan Wang

Zhenyu James Kong

2023/5/4

Robust Tensor Decomposition based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing

IEEE Transactions on Automation Science and Engineering

Bo Shen

Rakesh Kamath

Hahn Choo

Zhenyu (James) Kong

2023/1

Rapid Inverse Design of Metamaterials based on Prescribed Mechanical Behavior through Machine Learning

Nature Communications

Chan Soo Ha

Desheng Yao

Zhenpeng Xu

Chenang Liu

Han Liu

...

2023/9/18

See List of Professors in Zhenyu (James) Kong University(Virginia Polytechnic Institute and State University)

Co-Authors

academic-engine