Bo Shen

Publications

• Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing
• Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model
• Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing
• Robust Tensor Decomposition based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing
• Multi-Task Gaussian Process Upper Confidence Bound for Hyperparameter Tuning
• A Novel Active Anomaly Discovery Method and its Applications in Additive Manufacturing
• A robust ensemble-deep learning model for covid-19 diagnosis based on an integrated ct scan images database
• A Mask-guided Attention Deep Learning Model for COVID-19 Diagnosis based on an Integrated CT Scan Images Database
• Robust Tensor PCA based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing
• Robust Tensor Decomposition Based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing
• Multi-task Gaussian process upper confidence bound for hyperparameter tuning and its application for simulation studies of additive manufacturing
• A mask-guided attention deep learning model for COVID-19 diagnosis based on an integrated CT scan images database
• Reinforcement learning-based defect mitigation for quality assurance of additive manufacturing
• Active Defect Discovery: A Human-in-the-Loop Learning Method
• Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing
• Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing
• Active defect discovery: A human-in-the-loop learning method
• A novel sparse Bayesian learning and its application to fault diagnosis for multistation assembly systems
• Advanced Data Analytics for Quality Assurance of Smart Additive Manufacturing
• A robust ensemble-deep learning model for COVID-19 diagnosis based on an integrated CT scan images database
• Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network
• Smooth robust tensor completion for background/foreground separation with missing pixels: novel algorithm with convergence guarantee
• Robust tensor decomposition based background/foreground separation in noisy videos and its applications in additive manufacturing
• Provable Convergence of Tensor Decomposition-Based Neural Network Training
• Self-scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks
• Super resolution for multi-sources image stream data using smooth and sparse tensor completion and its applications in data acquisition of additive manufacturing
• Robust tensor principal component analysis: Exact recovery via deterministic model
• In situ melt pool measurements for laser powder bed fusion using multi sensing and correlation analysis
• Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks
• Deep Gaussian process for enhanced Bayesian optimization and its application in additive manufacturing