Shenghan Guo

发表

Hierarchical spatial-temporal modeling and monitoring of melt pool evolution in laser-based additive manufacturing

L. Bian, Shenghan Guo, W. Guo, 2020, IISE Trans..

Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

R. Gao, Shenghan Guo, Mohit Agarwal, 2022, Journal of Manufacturing Systems.

The 'Sixth' Factor -- Social Media Factor Derived Directly from Tweet Sentiments

Shenghan Guo, J. Liew, Kyung-Soo Liew, 2017 .

Tweet Sentiments and Crowd-Sourced Earnings Estimates as Valuable Sources of Information Around Earnings Releases

Shenghan Guo, J. Liew, Tongli Zhang, 2016 .

SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis

Mitchell A. Kuss, Shenghan Guo, Wei Guo, 2022, Bioengineering & translational medicine.

Identifying manufacturing operational conditions by physics-based feature extraction and ensemble clustering

Shenghan Guo, Amir Abolhassani, Rajeev Kalamdani, 2021, Journal of Manufacturing Systems.

Deep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing

L. Bian, Shenghan Guo, Qi Tian, 2020, Journal of Manufacturing Science and Engineering.

Nonparametric, real-time detection of process deteriorations in manufacturing with parsimonious smoothing

Shenghan Guo, Rajeev Kalamdani, Amir Abolhassani, 2020, IISE Trans..

3D Printable Hydrogel with Tunable Degradability and Mechanical Properties as a Tissue Scaffold for Pelvic Organ Prolapse Treatment

Shenghan Guo, Kenan Song, D. Lott, 2023, Advanced Materials Technologies.

A Data-Driven Diagnostic System Utilizing Manufacturing Data Mining and Analytics

Hui Wang, Xiao Yu, Weihong Guo, 2017 .

Comparison of Early Stopping Neural Network and Random Forest for In-Situ Quality Prediction in Laser Based Additive Manufacturing

Shenghan Guo, Weihong “Grace” Guo, Matthew Behnke, 2021, Procedia Manufacturing.

A physics-driven deep learning model for process-porosity causal relationship and porosity prediction with interpretability in laser metal deposition

Shenghan Guo, W. Guo, Yuebin B. Guo, 2020 .

Process Monitoring and Fault Prediction in Multivariate Time Series Using Bag-of-Words

Weihong Guo, Shenghan Guo, Weihong Guo, 2022, IEEE Transactions on Automation Science and Engineering.

Tweet Sentiments and Crowd-Sourced EarningsEstimates as Valuable Sources of Information aroundEarnings Releases

Jim Kyung-Soo Liew, Shenghan Guo, Tongli Zhang, 2016, The Journal of Alternative Investments.

Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction

Shenghan Guo, Zhili Feng, Wei Guo, 2023, Sensors.

Applications and Prospects of Machine learning for Aerosol Jet Printing: A Review

Shenghan Guo, Andi Q. Wang, Hyunwoong Ko, 2023, IISE Transactions.

Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network

Shenghan Guo, Zhili Feng, Wei Guo, 2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability.

3D Printing-Enabled Design and Manufacturing Strategies for Batteries: A Review.

Shenghan Guo, Kenan Song, Mohammad K. Hassan, 2023, Small.

UIR-Net: Object Detection in Infrared Imaging of Thermomechanical Processes in Automotive Manufacturing

Shenghan Guo, Zhili Feng, Dali Wang, 2022, IEEE Transactions on Automation Science and Engineering.

Analysis of data-based methods for approximating fisher information in the scalar case

Shenghan Guo, Shenghan Guo, 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

Comparison of Accuracy for Methods to Approximate Fisher Information in the Scalar Case pdf

Shenghan Guo, Shenghan Guo, 2014, ArXiv.

A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition

L. Bian, Shenghan Guo, Wei Guo, 2023, IEEE Transactions on Automation Science and Engineering.

Knowledge-transfer-enabled porosity prediction for new part geometry in laser metal deposition

L. Bian, Shenghan Guo, Christian Zamiela, 2023, Journal of Manufacturing Processes.

Manufacturing Process Monitoring With Nonparametric Change-Point Detection in Automotive Industry

Weihong Guo, Shenghan Guo, Amir Abolhassani, 2019, Journal of Manufacturing Science and Engineering.

Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network

Shenghan Guo, Jian Chen, Weihong “Grace” Guo, 2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability.

Real-time defect detection using online learning for laser metal deposition

L. Bian, Shenghan Guo, Christian Zamiela, 2023, Journal of Manufacturing Processes.