Weihong Grace Guo
Orcid: 0000-0001-8433-6326Affiliations:
- Rutgers University, New Brunswick, NJ, USA
According to our database1,
Weihong Grace Guo authored at least 28 papers
between 2013 and 2025.
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Bibliography
2025
Guest Editorial: Human-Cyber-Physical Systems for Intelligent Manufacturing: An Emerging Area.
IEEE Trans Autom. Sci. Eng., 2025
Predictive Modeling of Surface Topography Using Power Data in Wire Electrical Discharge Machining.
J. Comput. Inf. Sci. Eng., 2025
A Data-Driven Framework for the Identification and Vulnerability Assessment of Critical Transfer Hubs in Multimodal Public Transportation Networks: A Case Study of New York City.
Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025
Adaptive Asynchronous Federated Learning with Convolutional Autoencoders in Heterogeneous Systems.
Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025
2024
Hierarchical RNN-based framework for throughput prediction in automotive production systems.
Int. J. Prod. Res., March, 2024
2023
A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition.
IEEE Trans Autom. Sci. Eng., 2023
Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction.
Sensors, 2023
A Simulation-Based Method For Analyzing Supply Chain Vulnerability Under Pandemic: A Special Focus On The Covid-19.
Proceedings of the Winter Simulation Conference, 2023
Evaluating the Effectiveness of Countermeasures in ICT Supply Chains Through Elicitation-Informed Simulation.
Proceedings of the Winter Simulation Conference, 2023
2022
Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents.
IEEE Trans Autom. Sci. Eng., 2022
UIR-Net: Object Detection in Infrared Imaging of Thermomechanical Processes in Automotive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2022
Process Monitoring and Fault Prediction in Multivariate Time Series Using Bag-of-Words.
IEEE Trans Autom. Sci. Eng., 2022
A Physics-Informed Convolutional Neural Network with Custom Loss Functions for Porosity Prediction in Laser Metal Deposition.
Sensors, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
2021
Optimal Integration of Supervised Tensor Decomposition and Ensemble Learning for In Situ Quality Evaluation in Friction Stir Blind Riveting.
IEEE Trans Autom. Sci. Eng., 2021
Data-Driven Gantry Health Monitoring and Process Status Identification Based on Texture Extraction.
J. Comput. Inf. Sci. Eng., 2021
Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles.
Neurocomputing, 2021
Nonparametric, real-time detection of process deteriorations in manufacturing with parsimonious smoothing.
IISE Trans., 2021
2020
Joint decision-making of production and maintenance in mixed model assembly systems with delayed differentiation configurations.
Int. J. Prod. Res., 2020
Hierarchical spatial-temporal modeling and monitoring of melt pool evolution in laser-based additive manufacturing.
IISE Trans., 2020
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials.
CoRR, 2020
CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning.
CoRR, 2020
A real-time decision support framework to mitigate degradation in perishable supply chains.
Comput. Ind. Eng., 2020
An Optimization Model and Solution Algorithms for the Vehicle Routing Problem With a "Factory-in-a-Box".
IEEE Access, 2020
2019
Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning.
IEEE Access, 2019
2018
Int. J. Prod. Res., 2018
2016
Qual. Reliab. Eng. Int., 2016
2013
A generalized Stochastic Petri-Net Model for Performance Analysis and Allocation Optimization of a Particular Repair System.
Asia Pac. J. Oper. Res., 2013