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)
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
- 01
CITIC Group Special Prize for Science and Technology
Recognizing outstanding contributions in industrial data analytics and intelligent manufacturing
- 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
- 03
PHM Society Best Dissertation Award Nomination
Academic contribution in equipment health management and predictive maintenance
- 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
Academic Profiles
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.

