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Journal Articles

Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect

Tingli Xie, Xufeng Huang, Seung-Kyum Choi

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 030902.

Paper No: JCISE-22-1260

DOI: https://doi.org/10.1115/1.4056219

Published Online: December 9, 2022

View Article titled, Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect

Topics: Testing, Welded joints, Welding, Optimization

Proceedings Papers

Information Fusion-Based Meta-Learning for Few-Shot Fault Diagnosis Under Different Working Conditions

Tingli Xie, Xufeng Huang, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A009, August 14–17, 2022

Paper No: DETC2022-90934

DOI: https://doi.org/10.1115/DETC2022-90934

View Paper titled, Information Fusion-Based Meta-Learning for Few-Shot Fault Diagnosis Under Different Working Conditions

Topics: Fault diagnosis

Proceedings Papers

Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing

Xufeng Huang, Zhen Hu, Tingli Xie, Zhuo Wang, Lei Chen, Qi Zhou

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A038, August 17–19, 2021

Paper No: DETC2021-67963

DOI: https://doi.org/10.1115/DETC2021-67963

View Paper titled, Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing

Topics: Additive manufacturing, Artificial neural networks, Modeling

Proceedings Papers

Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network

Tingli Xie, Xufeng Huang, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A023, August 17–19, 2021

Paper No: DETC2021-67406

DOI: https://doi.org/10.1115/DETC2021-67406

View Paper titled, Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network

Topics: Artificial neural networks, Data fusion, Fault diagnosis, Machinery, Sensors

Journal Articles

A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing

Xufeng Huang, Tingli Xie, Zhuo Wang, Lei Chen, Qi Zhou, Zhen Hu

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011104.

Paper No: RISK-21-1011

DOI: https://doi.org/10.1115/1.4051749

Published Online: August 4, 2021

View Article titled, A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing

Topics: Additive manufacturing, Artificial neural networks, Modeling, Uncertainty, Cathode ray oscilloscopes, Electron beams, Temperature

Proceedings Papers

Multi-Fidelity Surrogate Model-Assisted Fatigue Analysis of Welded Joints

Lili Zhang, Tingli Xie, Jiexiang Hu, Ping Jiang, Jasuk Koo, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A016, August 17–19, 2020

Paper No: DETC2020-22234

DOI: https://doi.org/10.1115/DETC2020-22234

View Paper titled, Multi-Fidelity Surrogate Model-Assisted Fatigue Analysis of Welded Joints

Topics: Construction, Fatigue analysis, Fatigue life, Fatigue testing, Finite element model, Stress, Stress concentration, Welded joints

Proceedings Papers

A Multi-Objective Robust Optimization Approach Under Interval Uncertainty Based on Kriging and Support Vector Machine

Tingli Xie, Ping Jiang, Qi Zhou, Leshi Shu, Yang Yang

Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A036, August 26–29, 2018

Paper No: DETC2018-86237

DOI: https://doi.org/10.1115/DETC2018-86237

View Paper titled, A Multi-Objective Robust Optimization Approach Under Interval Uncertainty Based on Kriging and Support Vector Machine

Topics: Optimization, Support vector machines, Uncertainty, Design, Engineering design, Engineering simulation, Simulation, Vehicles

Journal Articles

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine

Tingli Xie, Ping Jiang, Qi Zhou, Leshi Shu, Yahui Zhang, Xiangzheng Meng, Hua Wei

J. Comput. Inf. Sci. Eng. December 2018, 18(4): 041012.

Paper No: JCISE-18-1035

DOI: https://doi.org/10.1115/1.4040710

Published Online: August 6, 2018

View Article titled, Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine

Topics: Design, Optimization, Support vector machines, Uncertainty

Journal citation

NARROW

Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect

Information Fusion-Based Meta-Learning for Few-Shot Fault Diagnosis Under Different Working Conditions

Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing

Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network

A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing

Multi-Fidelity Surrogate Model-Assisted Fatigue Analysis of Welded Joints

A Multi-Objective Robust Optimization Approach Under Interval Uncertainty Based on Kriging and Support Vector Machine

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine

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