TechRxiv

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

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Co-workers & collaborators

Zhenyu Kong

Zhenyu Kong

Chaoran Dou

Chaoran Dou

Raghav Gnanasambandam

Raghav Gnanasambandam

Bo Shen's public data