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Xufeng Huang

Xufeng Huang

Postdoctoral Fellow

HUST

Biography

I am a Postdoctoral Fellow 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

Experience

  • 2026.03 – Now: Postdoctoral Fellow, School of Artificial Intelligence and Automation, HUST, Wuhan, China
  • 2019.07 – 2022.07: Research Assistant, School of Aerospace Engineering, HUST, Wuhan, China

Awards

  • 2026/04: “Outstanding Graduate Student” in HUST
  • 2024/11: National Scholarship for Graduate Students
  • 2024/10: “Merit Student” Scholarship in HUST
  • 2024/10: “Scientific and Technological Innovation” Scholarship in HUST
  • 2023/10: “Merit Student” in HUST
  • 2023/08: “Best Paper”, Advanced Modeling and Simulation, ASME IDETC/CIE 2023
  • 2022-2024: “Outstanding Academic Scholarship” in HUST, every academic year
  • 2022/12: “National Second Prize”, 19th “Huawei Cup” China Post-Graduate Mathematical Contest in Modeling (Team Leader, Top 5%)
  • 2022/12: “National Second Prize”, 2022 China (Tianjin) Industrial APP Innovation Application Competition (Top 3)
  • 2021/09: “Best Student Award (co-author)”, PHM Asia Pacific 2021
  • 2020/10: Top 1% (14/653), Pathology Image Segmentation Track, 1st Jiangsu Big Data Development and Application Competition (Team Leader)
  • 2016-2018: “Outstanding Academic Scholarship” in GXU, every academic year
  • 2016/06: “Excellent Undergraduate” in HUST
  • 2015/05: “Individual Scholarship (Most Improved)” in HUST

Reviewers

Invited Reviewer for renowned international SCI journals: IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cybernetics, Applied Computing and Informatics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, Reliability Engineering & System Safety, Pattern Recognition, Knowledge-Based Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, Expert Systems With Applications, IEEE Transactions on Reliability, Journal of Manufacturing Processes, IEEE Transactions on Automation Science and Engineering, Advances in Manufacturing, Structural Health Monitoring, IEEE Transactions on Emerging Topics in Computational Intelligence, Journal of Field Robotics, IEEE Antennas and Wireless Propagation Letters, Journal of Engineering Design, Nondestructive Testing and Evaluation, Journal of Big Data, Structural and Multidisciplinary Optimization, Measurement Science and Technology, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, ASME Journal of Verification, Validation and Uncertainty Quantification, Digital Twin.

Recent Publications

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Xufeng Huang, Tingli Xie, Jiexiang Hu, Qi Zhou (2023). Three-dimensional hybrid fusion networks for current-based bearing fault diagnosis. Meas. Sci. Technol., 35, 025126.

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Jinhong Wu, Xingxing Feng, Xuan Cai, Xufeng Huang, Qi Zhou (2023). A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface. Engineering with Computers, 39, 3421–3439.

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Tingli Xie, Xufeng Huang, Seung-Kyum Choi (2023). Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect. J. Comput. Inf. Sci. Eng., 23(3), 030902.

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Tingli Xie, Xufeng Huang, Hyung Wook Park, Heung Soo Kim, Seung-Kyum Choi (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.

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Longchao Cao, Jingchang Li, Libin Zhang, Shuyang Luo, Menglei Li, Xufeng Huang (2023). Cross-attention-based multi-sensing signals fusion for penetration state monitoring during laser welding of aluminum alloy. Knowl.-Based Syst., 261, 110212.

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Shuyang Luo, Xufeng Huang, Yanzhi Wang, Rongmin Luo, Qi Zhou (2022). Transfer learning based on improved stacked autoencoder for bearing fault diagnosis. Knowl.-Based Syst., 256, 109846.

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Tingli Xie, Xufeng Huang, Seung-Kyum Choi (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.

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

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Tingli Xie, Xufeng Huang, Seung-Kyum Choi (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.

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

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Jingchang Li, Qi Zhou, Xufeng Huang, Menglei Li, Longchao Cao (2021). In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting. J. Intell. Manuf., 1-15.

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Tingli Xie, Xufeng Huang, Seung-Kyum Choi (2021). Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network. IEEE Trans. Ind. Inf., 18(5), 3213-3223.

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Yahui Zhang, Taotao Zhou, Xufeng Huang, Longchao Cao, Qi Zhou (2021). Fault diagnosis of rotating machinery based on recurrent neural networks. Measurement, 171, 108774.

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Xufeng Huang, Qiang Lei, Tingli Xie, Yahui Zhang, Zhen Hu, Qi Zhou (2020). Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images. Knowl.-Based Syst., 204, 106230.

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Lin Chen, Xufeng Huang, Meng Liu, Shanshan Liu, Feixiang He, Jian Yi, Haihong Pan (2019). Optimized continuous trajectory look-ahead algorithm with comprehensive multi-constraints. Journal of Mechanical Engineering, 55(13), 151-159.

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