Welcome to Xufeng Huang’s Homepage
Biography
I am a Ph.D. candidate at Huazhong University of Science and Technology (HUST). Download my CV
Specialties: Scientific Machine Learning, Digital Twin, Information Fusion
Email: xufenghuang1228@gmail.com or huangxufeng@hust.edu.cn
Education
- 2022.09 – Now: Ph.D., Mechanical Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China
- 2016.09 – 2019.06: M.Eng, Mechatronic Engineering, Guangxi University (GXU), Nanning, China
- 2012.09 – 2016.06: B.Eng, Mechanical Design Manufacturing and Automation, Huazhong University of Science and Technology (HUST), Wuhan, China
Experience
- 2019.07 – 2022.07: Research Assistant, School of Aerospace Engineering, HUST, Wuhan, China
Awards
- 2023: “Merit Student” in HUST
- 2023: “Best Paper”, Advanced Modeling and Simulation，ASME IDETC/CIE 2023
- 2022: “National Second Prize”, 19th China post-graduate mathematical contest in modeling
- 2022: “National Second Prize”, 2022 China (Tianjin) industrial innovation application
- 2022-2023: “Outstanding Academic Scholarship” in HUST
- 2021: “Best Student Award (co-author)”, PHM Asia Pacific 2021
- 2016-2018: “Outstanding Academic Scholarship” in GXU, every academic year
- 2016: “Excellent Undergraduate” in HUST
- 2015: “Individual Scholarship (Most Improved)” in HUST
Reviewers
- Reliability Engineering & System Safety
- Advances in Manufacturing
- Journal of Big Data
- Structural and Multidisciplinary Optimization
- Journal of Manufacturing Processes
- ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering
- ASME Journal of Verification, Validation and Uncertainty Quantification
- International Conference on Optoelectronic Information and Computer Engineering (OICE), 2023
Recent Publications
Quickly discover relevant content by filtering publications.
(2023).
Three-dimensional hybrid fusion networks for current-based bearing fault diagnosis.
Meas. Sci. Technol., 35, 025126.
(2023).
A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface.
Engineering with Computers, 39, 3421–3439.
(2023).
Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect.
J. Comput. Inf. Sci. Eng., 23(3), 030902.
(2023).
A data-driven adaptive algorithm and decision support design of multisensory information fusion for prognostics and health management applications.
Journal of Engineering Design, 34(2), 158-179.
(2023).
Cross-attention-based multi-sensing signals fusion for penetration state monitoring during laser welding of aluminum alloy.
Knowl.-Based Syst., 261, 110212.
(2022).
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis.
Knowl.-Based Syst., 256, 109846.
(2022).
Information Fusion-Based Meta-Learning for Few-Shot Fault Diagnosis Under Different Working Conditions.
Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3A: 47th Design Automation Conference (DAC)., V002T02A009.
(2022).
A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing.
ASCE-ASME J. Risk. and Uncert. in Engrg. Sys. Part B Mech. Engrg., 8(1), 011104.
(2021).
Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network.
Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3A: 47th Design Automation Conference (DAC)., V002T02A023.
(2021).
Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing.
Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3A: 47th Design Automation Conference (DAC)., V03AT03A038.
(2021).
In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting.
J. Intell. Manuf., 1-15.
(2021).
Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network.
IEEE Trans. Ind. Inf., 18(5), 3213-3223.
(2021).
Fault diagnosis of rotating machinery based on recurrent neural networks.
Measurement, 171, 108774.
(2020).
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images.
Knowl.-Based Syst., 204, 106230.
(2019).
Optimized continuous trajectory look-ahead algorithm with comprehensive multi-constraints.
Journal of Mechanical Engineering, 55(13), 151-159.