Bo Shen

Orcid: 0000-0002-2643-3600

Affiliations:
  • New Jersey Institute of Technology, Department of Mechanical and Industrial Engineering, Newark, NJ, USA
  • Virginia Polytechnic Institute and State University, Blacksburg, VA, USA (PhD)


According to our database1, Bo Shen authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network.
J. Intell. Manuf., June, 2024

2023
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Robust Tensor Decomposition Based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2023

Provable Convergence of Tensor Decomposition-Based Neural Network Training.
CoRR, 2023

2022
Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing.
Technometrics, 2022

Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee.
J. Mach. Learn. Res., 2022

Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Process.
CoRR, 2022

Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing.
CoRR, 2022

A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems.
CoRR, 2022

Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks.
CoRR, 2022

2021
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2021

2020
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model.
CoRR, 2020


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