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.
These are representative papers; the full publication record and citation data are available on Google Scholar.
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+, granted in China, the US and Germany
- Core technology patents: covering semiconductor manufacturing, material removal, fault diagnosis and predictive maintenance, active learning and online model updating, battery health, and renewable-energy fleet O&M
- Industrial application: many patents originate from joint R&D projects with Chinese and international companies
The above are representative patents; the full list (with grant numbers and certificates) is available on request via the lab contact email.
① On-vehicle bearing monitoring · US Patent
J. Feng, X. Du, M. Salman, et al. Method and apparatus for monitoring a machine bearing on-vehicle. US, US20200149993A1
② Machine bearing condition monitoring · German Patent
J. Feng, X. Du, M. Salman, et al. Method and device for monitoring a machine store. Germany, DE102019115237B4
③ Semiconductor CMP material removal · Chinese Patent
J. Feng, J. Cheng, X. Liu. Method, apparatus, electronic device, and storage medium for predicting average material removal rate. China, ZL202210222767.3
④ Active learning & online model update · Chinese Patent
J. Feng, L. Hua, J. Chen. Active learning-based method, device, and medium for online incremental model training. China, ZL202110978408.6
⑤ Renewable-fleet intelligent maintenance · Chinese Patent
J. Feng, J. Zhang, J. Chen. Method, apparatus, electronic device, and storage medium for maintenance scheduling of wind turbine fleets. China, ZL202111194453.9
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
1,650+ 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.