Publications

Raghav Gnanasambandam, Bo Shen, Andrew Chung Chee Law, Chaoran Dou, and Zhenyu (James) Kong. Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing. IISE Transactions. [Paper] 

Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, & Zhenyu (James) Kong. Self-scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. [Paper] [Code] 

• Winner of INFORMS Data Mining and Decision Analytics Workshop Poster competition, October 2022 

• Winner of IISE QCRE/ProcessMiner Data Challenge Competition, May 2022 

Jihoon Chung, Bo Shen, and Zhenyu (James) Kong. Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network. Journal of Intelligent Manufacturing. [Paper] 

Bo Shen & Zhenyu (James) Kong. Active Defect Discovery: A Human-in-the-Loop Learning Method. IISE Transactions. [Paper] [Code]

• Finalist for INFORMS Data Mining Section Best Paper Award (Student Track), October 2021

• Finalist for INFORMS QSR Best Refereed Paper Competition, October 2022 

Jihoon Chung, Bo Shen, & Zhenyu (James) Kong (2023). A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multi-station Assembly Systems. IISE Transactions. [Paper] 

Bo Shen, Weijun Xie, & Zhenyu (James) Kong (2022). Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. Journal of Machine Learning Research. [Paper] [Code] 

Jihoon Chung, Bo Shen, Andrew Chung Chee Law, & Zhenyu (James) Kong (2022). Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing. Journal of Manufacturing Systems. [Paper]

• Winner of IISE QCRE Division Best Student Paper Award, May 2022

Maede Maftouni, Bo Shen, Andrew Chung Chee Law, Niloofar Ayoobi Yazdib, Fahimeh Hadavand, Fereshte Ghiasvand, & Zhenyu (James) Kong. A Mask-guided Attention Deep Learning Model for COVID-19 Diagnosis based on an Integrated CT Scan Images Database. IISE Transactions on Healthcare Systems Engineering. [Paper] [Code]

• Winner of INFORMS QSR Best Case Study Paper Competition, October 2022

• Runner-up of INFORMS QSR Industry Data Challenge, October 2020

• Runner-up of poster competition in INFORMS & HFES Student Poster Competition, ISE, Virginia Tech, May 2020

Bo Shen, Raghav Gnanasambandam, Rongxuan Wang, & Zhenyu (James) Kong (2022). MultiTask Gaussian Process Upper Confidence Bound for Hyperparameter Tuning and its Application for Simulation Studies of Additive Manufacturing. IISE Transactions. [Paper] [Code]

Bo Shen, Rakesh Kamath, Hahn Choo, & Zhenyu (James) Kong (2022). Robust Tensor Decomposition based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. [Paper]

Rongxuan Wang, David Garcia, Rakesh Kamath, Chaoran Dou, Xiaohan Ma, Bo Shen, Hahn Choo, Kamel Fezzaa, Hang Yu, & Zhenyu (James) Kong (2022). In-process Multi-physics Melt Pool Measurement and Correlation Analysis in Laser Powder Bed Fusion. Scientific Reports. [Paper]

• Winner of IISE Manufacturing and Design (M&D) Division Best Paper Award, May 2022

Bo Shen, Rongxuan Wang, Andrew Chung Chee Law, Rakesh Kamath, Hahn Choo, & Zhenyu (James) Kong (2021). Super Resolution for Multi-Sources Image Stream Data using Smooth and Sparse Tensor Completion and its Applications in Data Acquisition of Additive Manufacturing. Technometrics. [Paper] [Code]

• Finalist for INFORMS QSR Best Refereed Paper Competition, October 2020

• Runner-up of poster competition in INFORMS & HFES Student Poster Competition, ISE, Virginia Tech, May 2019

Bo Shen, Weijun Xie, & Zhenyu (James) Kong (2020). Clustered Discriminant Regression for High Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. [Paper] [Code]

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

Marco Marena*, Neethan Ratnakumar, Rachel Jones, Xianlian Zhou, Sanchoy Das, & Bo Shen (2023). Predicting Metabolic Rate for Firefighting Activities with Worn Loads using a Heart Rate Sensor and Machine Learning. IEEE-EMBS International Conference on Body Sensor Networks – Sensor and Systems for Digital Health (BSN 2023). [Paper]