Publications

AI Cube Laboratory has produced a substantial body of research in industrial artificial intelligence and advanced manufacturing

Academic Achievements

Representative Papers

High-impact papers published in leading international journals and conferences, advancing the field

🆕 Reliability Engineering & System Safety (2026)

J. Feng, F. Qi, F. Zhu, J. Zhang, P. Gao, Y. Zhu. Uncertainty-informed cascaded diagnosis of compound faults in electromechanical systems via a physics-informed hypergraph framework. 99.55% compound-fault diagnosis accuracy.

🆕 Measurement Science and Technology (2026)

J. Feng, J. Zhang, S. Yin, F. Qi, J. Li. Physically-informed Bayesian feature optimization for semi-supervised industrial anomaly detection.

🏆 Annual Conference of the PHM Society (2025)

P. Gao, F. Qi, Y. Zhu, J. Zhang, W. Li, J. Feng. A Two-Stage Framework for Small-Sample RUL Prediction on Structurally Complex Time-Series Data — the PHM 2025 Data Challenge world-champion method.

IEEE Transactions on Industrial Informatics (2023)

F. Zhu, J. Feng, M. Xie, L. Li, J. Lee. Profile abstract: an optimization-based subset selection and summarization method for profile data mining. 19(9): 9337-9348. Deployed at Applied Materials and SAIC KB.

IEEE Transactions on Semiconductor Manufacturing (2019)

J. Feng, X. Jia, F. Zhu, J. Moyne, J. Iskandar, J. Lee. An online virtual metrology model with sample selection for the tracking of dynamic manufacturing processes with slow drift. 32(4): 574-582.

Journal of Modern Power Systems and Clean Energy (2020)

J. Feng, X. Jia, H. Cai, F. Zhu, X. Li, J. Lee. Cross trajectory Gaussian process regression model for battery health prediction. 9(5): 1217-1226.

Academic Archive

All Publications & Patents (synced with Google Scholar)

1,645+
Citations
17
h-index
22
i10-index
100+
Patents

By Year

2026 (2 items)

  • Uncertainty-informed cascaded diagnosis of compound faults in electromechanical systems via a physics-informed hypergraph framework

    J. Feng, F. Qi, F. Zhu, J. Zhang, P. Gao, Y. Zhu

    Reliability Engineering & System Safety, 112685 Journal

  • Physically-informed Bayesian feature optimization for semi-supervised industrial anomaly detection

    J. Feng, J. Zhang, S. Yin, F. Qi, J. Li

    Measurement Science and Technology 37(11), 116103 Journal

2025 (2 items)

  • A Large Language Model-Based Time-Series Framework for Industrial Multi-Task Process Monitoring: A Case Study in Stamping Manufacturing

    J. Feng, J. Zhang, F. Qi, Y. Zhu

    SSRN Preprint 5288004 Journal

  • A Two-Stage Framework for Small-Sample RUL Prediction on Structurally Complex Time-Series Data

    P. Gao, F. Qi, Y. Zhu, J. Zhang, W. Li, J. Feng

    Annual Conference of the PHM Society 17(1) Conference

2023 (1 items)

  • An optimization-based sample selection method considering sample redundancy and usefulness

    F. Zhu, J. Feng, Z. Su, M. Xie

    International Conference on the Efficiency and Performance Engineering Conference

2022 (1 items)

  • Profile Abstract: An optimization-based subset selection and summarization method for profile data mining

    F. Zhu, J. Feng, M. Xie, L. Li, J. Lei, J. Lee

    IEEE Transactions on Industrial Informatics 19(9), 9337-9348 Journal

2021 (7 items)

  • Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning

    Y. Pan, R. Hong, J. Chen, J. Feng, W. Wu

    Structural Health Monitoring 20(1), 118-138 Journal

  • Adaptive virtual metrology method based on just-in-time reference and particle filter for semiconductor manufacturing

    H. Cai, J. Feng, F. Zhu, Q. Yang, X. Li, J. Lee

    Measurement 168, 108338 Journal

  • A unified Bayesian filtering framework for multi-horizon wind speed prediction with improved accuracy

    H. Cai, X. Jia, J. Feng, Q. Yang, W. Li, F. Li, J. Lee

    Renewable Energy 178, 709-719 Journal

  • Reference-based virtual metrology method with uncertainty evaluation for material removal rate prediction based on Gaussian process regression

    H. Cai, J. Feng, Q. Yang, F. Li, X. Li, J. Lee

    The International Journal of Advanced Manufacturing Technology 116(3), 1199-1213 Journal

  • Development of an integrated framework for cyber physical system (CPS)-enabled rehabilitation system

    J. Feng, F. Zhu, P. Li, H. Davari, J. Lee

    International Journal of Prognostics and Health Management 12(4) Journal

  • Trace abstraction: A novel method to enhance fault detection in semiconductor manufacturing processes with an optimization approach

    J. Feng, F. Zhu, Z. Liu, J. Zhang, L. Hua, S. Wang, M. Xie

    2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), 1-6 Journal

  • A systematic framework for maintenance scheduling and routing for offshore wind farms by minimizing predictive production loss

    J. Feng, H. Cai, Z. Liu, J. Lee

    E3S Web of Conferences 233, 01063 Conference

2020 (10 items)

  • Intelligent maintenance systems and predictive manufacturing

    J. Lee, J. Ni, J. Singh, B. Jiang, M. Azamfar, J. Feng

    Journal of Manufacturing Science and Engineering 142(11), 110805 Journal

  • Gaussian process regression for numerical wind speed prediction enhancement

    H. Cai, X. Jia, J. Feng, W. Li, Y.M. Hsu, J. Lee

    Renewable Energy 146, 2112-2123 Journal

  • Similarity-based particle filter for remaining useful life prediction with enhanced performance

    H. Cai, J. Feng, W. Li, Y.M. Hsu, J. Lee

    Applied Soft Computing 94, 106474 Journal

  • A similarity based methodology for machine prognostics by using kernel two sample test

    H. Cai, X. Jia, J. Feng, W. Li, L. Pahren, J. Lee

    ISA Transactions 103, 112-121 Journal

  • A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization

    H. Cai, J. Feng, Q. Yang, W. Li, X. Li, J. Lee

    Computers in Industry 119, 103228 Journal

  • A novel scalable method for machine degradation assessment using deep convolutional neural network

    P. Li, X. Jia, J. Feng, F. Zhu, M. Miller, L.Y. Chen, J. Lee

    Measurement 151, 107106 Journal

  • Evaluating feature selection and anomaly detection methods of hard drive failure prediction

    Q. Yang, X. Jia, X. Li, J. Feng, W. Li, J. Lee

    IEEE Transactions on Reliability 70(2), 749-760 Journal

  • Cross trajectory Gaussian process regression model for battery health prediction

    J. Feng, X. Jia, H. Cai, F. Zhu, X. Li, J. Lee

    Journal of Modern Power Systems and Clean Energy 9(5), 1217-1226 Journal

  • A framework for semi-automated fault detection configuration with automated feature extraction and limits setting

    H. Cai, J. Feng, J. Moyne, J. Iskandar, M. Armacost, F. Li, J. Lee

    2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC) Conference

  • Methodology of adaptive prognostics and health management in dynamic work environment

    J. Feng

    Ph.D. Dissertation, University of Cincinnati Journal

2019 (7 items)

  • An online virtual metrology model with sample selection for the tracking of dynamic manufacturing processes with slow drift

    J. Feng, X. Jia, F. Zhu, J. Moyne, J. Iskandar, J. Lee

    IEEE Transactions on Semiconductor Manufacturing Journal

  • A combined filtering strategy for short term and long term wind speed prediction with improved accuracy

    H. Cai, X. Jia, J. Feng, Q. Yang, Y.M. Hsu, Y. Chen, J. Lee

    Renewable Energy 136, 1082-1090 Journal

  • An intelligent system for offshore wind farm maintenance scheduling optimization considering turbine production loss

    J. Feng, X. Jia, F. Zhu, Q. Yang, Y. Pan, J. Lee

    Journal of Intelligent & Fuzzy Systems Journal

  • A novel similarity-based method for remaining useful life prediction using kernel two sample test

    X. Jia, H. Cai, Y. Hsu, W. Li, J. Feng, J. Lee

    Proceedings of the Annual Conference of the PHM Society 11 Conference

  • A deep learning based method for cutting parameter optimization for band saw machine

    P. Li, J. Feng, F. Zhu, H. Davari, L.Y. Chen, J. Lee

    Annual Conference of the PHM Society 11(1) Conference

  • Methodology of adaptive prognostics and health management using streaming data in big data environment

    J. Feng

    Proceedings of the Annual Conference of the PHM Society 11(1) Conference

  • Wheel bearing fault isolation and prognosis using acoustic based approach

    J. Feng, X. Du, M. Salman

    Proceedings of the Annual Conference of the Prognostics and Health Management Society Conference

2018 (3 items)

  • Prognosability study of ball screw degradation using systematic methodology

    P. Li, X. Jia, J. Feng, H. Davari, G. Qiao, Y. Hwang, J. Lee

    Mechanical Systems and Signal Processing 109, 45-57 Journal

  • Adaptive virtual metrology for semiconductor chemical mechanical planarization process using GMDH-type polynomial neural networks

    X. Jia, Y. Di, J. Feng, Q. Yang, H. Dai, J. Lee

    Journal of Process Control 62, 44-54 Journal

  • A review of PHM data competitions from 2008 to 2017: Methodologies and analytics

    X. Jia, B. Huang, J. Feng, H. Cai, J. Lee

    Proceedings of the Annual Conference of the Prognostics and Health Management Society Conference

2017 (2 items)

  • Modeling and solution of offshore wind farm maintenance scheduling

    H.Z. Tan, W. Lv, L.W. Jin, Z.C. Liu, J.S. Feng

    DEStech Transactions on Environment, Energy and Earth Sciences Journal

  • Research on the underwater AUV docking station with two swing degrees of freedom

    D. Li, T. Zhang, Y. Cai, J. Shi, J. Feng, C. Yang

    Journal of Mechanical Engineering 53(4), 161-167 Journal

2016 (1 items)

  • Study and design of a heat dissipation system in a junction box for Chinese experimental ocean observatory network

    D. Li, J. Wang, J. Feng, C. Yang, Y. Chen

    Marine Technology Society Journal 50(2), 63-74 Journal

Intellectual Property

Patents

Holder of over 100 domestic and international invention patents, reflecting strong technical innovation capability

Patent Statistics

  • Domestic and international invention patents: 100+
  • Core technology patents: covering manufacturing monitoring, intelligent maintenance, big data analytics, and related fields
  • Industrial application: multiple patents have been successfully commercialized

US Patent

J. Feng, X. Du, and M. Salman. Method and apparatus for monitoring a machine bearing on-vehicle, US, US20200149993A1. 2018

Chinese Patent

J. Feng et al. Method, apparatus, electronic device, and storage medium for predicting average material removal rate, China, ZL202210222767.3, 2022

Chinese Patent

J. Feng et al. Active learning-based method, device, and medium for online incremental model training, China, ZL202110978408.6, 2021

Honors & Awards

Awards & Honors

Recipient of numerous important awards and honors in both academia and industry

  1. 01

    CITIC Group Special Prize for Science and Technology

    Recognizing outstanding contributions in industrial data analytics and intelligent manufacturing

  2. 02

    Industrial Application Innovation Award, National Engineering Research Center for Deep Learning Technology and Applications

    Innovative achievements in the industrial application of deep learning technology

  3. 03

    PHM Society Best Dissertation Award Nomination

    Academic contribution in equipment health management and predictive maintenance

  4. 04

    Shenzhen Overseas High-Level Talent ("Peacock Plan" Talent)

    Recognized by the Shenzhen municipal government as an overseas high-level talent, with corresponding policy support

Academic Impact

Academic Metrics

Significant influence within the international academic community

Publications

Over 30 papers published in leading international journals and conferences, spanning industrial artificial intelligence, intelligent manufacturing, and related fields

Citations

Over 1,000 citations on Google Scholar, with research widely recognized by international peers

Academic Service

Serves as a reviewer for multiple international journals; Young Editorial Board Member of "Intelligent Manufacturing" and inaugural Young Editorial Board Member of "AI for Science"

Industry Impact

Industrial Applications

Research outcomes successfully applied at leading companies, generating significant economic value

Xiaomi Automotive Project

Intelligent quality control system for new energy vehicle manufacturing, improving production efficiency by over 20%

Foxconn Industrial Internet

Industrial big data platform and intelligent products serving hundreds of manufacturing enterprises

CITIC Group Project

Industrial data analytics platform enabling data-driven intelligent decision-making

General Motors (USA)

Equipment health monitoring system reducing equipment failure rate by 30%

Applied Materials (USA)

Semiconductor manufacturing process optimization delivering a significant yield improvement

Advancing Research
Toward Industrial Impact

We welcome collaboration with colleagues from academia and industry to drive innovation and translate research into real-world impact.Together, let's create more valuable scientific outcomes.