Bo Shen

Bo Shen

Assistant Professor, Department of Mechanical and Industrial Engineering, New Jersey Institute of Technolog

Journal Publications (Google Scholar Profile)

Under Review/Revision

  1. Bo Shen and Zhenyu (James) Kong. A Novel Active Anomaly Discovery Method and its Applications in Additive Manufacturing. Major revision at IISE Transactions. (2022)
    [Preprint]
    • Finalists for INFORMS QSR Best Refereed Paper Competition (2022)
    • Finalists for INFORMS Data Mining Section Best Paper Award (Student Track, 2021)
  2. Yi Chen, Jing Dong, Xin T. Tong, and Bo Shen. Can We Do Better than Random Start? The Power of Data Outsouring. Under second round review.
    [Preprint]
  3. Jihoon Chung, Bo Shen, and Zhenyu (James) Kong. A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multi-station Assembly Systems. Major revision at IISE Transactions. (2022)
    [Preprint]
  4. Andrew Chung Chee Law, Bo Shen, Maede Maftouni, Benjamin Standfield, Xiaowei Yue, and Zhenyu (James) Kong. Residual Stress Prediction with Reheating Effects of Thermal Cycles in Laser Powder Bed Fusion using Deep Neural Network. Under review at Manufacturing Letters. (2022)
  5. Jihoon Chung, Bo Shen, and Zhenyu (James) Kong. Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Processes. Under review at IEEE Transactions on Automation Science and Engineering. (2022)
    [Preprint]
  6. Raghav Gnanasambandam, Bo Shen, Andrew Chung Chee Law, and Zhenyu (James) Kong. Deep Gaussian Process Upper Confidence Bound for Optimizing Non-Stationary Functions and its Application in Additive Manufacturing. Under review at IISE Transactions. (2022)
  7. Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, and Zhenyu (James) Kong. Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks. Submitted (2022)
    [Preprint]
    • Winner for INFORMS Data Mining and Decision Analytics Workshop Poster Competition (2022)
    • Winner for IISE QCRE/ProcessMiner Data Challenge Competition (2022)

Published/Accepted

  1. Bo Shen, Weijun Xie, and Zhenyu (James) Kong. Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. Journal of Machine Learning Research. (2022)
    [Paper] [Code]
  2. Jihoon Chung, Bo Shen, Andrew Chung Chee Law, and Zhenyu (James) Kong. Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing. Under review at Journal of Manufacturing Systems. (2022)
    [Preprint]
    • Winner for IISE QCRE Division Best Student Paper Award
  3. Maede Maftouni, Bo Shen, Andrew Chung Chee Law, and Zhenyu (James) Kong. A Mask-guided Attention Deep Learning Model for COVID-19 Diagnosis based on an Integrated CT Scan Images Database. Accepted at IISE Transactions on Healthcare Systems Engineering. (2022)
    [Preprint]
    • Winner for INFORMS QSR Best Case Study Paper Competition (2022)
    • Runner-up for INFORMS QSR Industry Data Challenge (2020)
    • Second place of poster competition in INFORMS & HFES Student Poster Competition, ISE, Virginia Tech (2020)
  4. Bo Shen, Raghav Gnanasambandam, Rongxuan Wang, and Zhenyu (James) Kong. Multi-Task Gaussian Process Upper Confidence Bound for Hyperparameter Tuning and its Application for Simulation Studies of Additive Manufacturing. IISE Transactions. (2022)
    [Paper] [Code]
  5. Bo Shen, Rakesh Kamath, Hahn Choo, and Zhenyu (James) Kong. Robust Tensor Decomposition based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. (2022)
    [Paper]
  6. Bo Shen, Rongxuan Wang, Andrew Chung Chee Law, Rakesh Kamath, Hahn Choo, and Zhenyu (James) Kong. Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing. Technometrics. (2021)
    [Paper] [Code] [Poster]
    • Finalists for INFORMS QSR Best Refereed Paper Competition (2020)
    • Second place of poster competition in INFORMS & HFES Student Poster Competition, ISE, Virginia Tech (2019)
  7. Bo Shen, Weijun Xie, and Zhenyu (James) Kong. Clustered Discriminant Regression for High Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. (2020)
    [Paper] [Code]
  8. Rongxuan Wang, David Garcia, Rakesh Kamath, Chaoran Dou, Xiaohan Ma, Bo Shen, Hahn Choo, Kamel Fezzaa, Hang Yu, and Zhenyu (James) Kong. In-process Multi-physics Melt Pool Measurement and Correlation Analysis in Laser Powder Bed Fusion. Scientific Reports. (2022)
    [Paper]
    • Winner for IISE Manufacturing and Design (M&D) Division Best Paper Award (2022)

Working Journal Papers

  1. Maede Maftouni, Bo Shen, Andrew Chung Chee Law, Rongxuan Wang, and Zhenyu (James) Kong. Automatic Melt Pool Segmentation and Tracking in the X-ray Image Sequence. To be submitted to IISE Transactions. (2022)
    • Winner for IISE Manufacturing and Design (M&D) Division Best Student Paper Award (2022)
  2. Andrew Chung Chee Law, Bo Shen, and Zhenyu (James) Kong. Deep Ensemble with Active Learning for Inverse Process Parameter Design of Metal Additive Manufacturing. To be submitted (2022)

Conference Papers

  1. Maede Maftouni, Andrew Chung Chee Law, Bo Shen, Yanze Zhou, Niloofar Ayoobi Yazdi, and Zhenyu (James) Kong. A Robust Ensemble-Deep Learning Model for COVID-19 Diagnosis based on an Integrated CT Scan Images Database. Conference: Proceedings of the 2021 IISE Annual Conference
    [Paper] [Code] [Dataset] [Poster]

Notes

Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model.
[Preprint]