Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-4818-5185
Scopus Author ID: 57205104707
ResearcherID: JFS-1538-2023
Impact
Qualifications (Brief)
BEng(USTC), PhD(UIUC)
Biography
Yuquan Meng received his B.S. in Mechanical Engineering with Guo Moruo Scholarship from the University of Science and Technology of China (USTC) in 2017, and his Ph.D in Mechanical Engineering from University of Illinois of Urbana-Champaign (UIUC) in 2023. Starting from 2024, he becomes an assistant professor at Department of Systems Engineering, City University of Hong Kong. His primary research interests lie in data-efficient learning, physics-informed machine learning, in-situ process monitoring and smart decision-making, manufacturing systems control and automation and 3D metrology.
Position(s) Available
I am currently recruiting highly-motivated PhD students and RA in our lab at CityU HK. We will be working on developing physics-informed machine learning (PIML) models and intelligent monitoring/control of manufacturing systems using deep learning. Students from engineering, physics or related fields are welcome to apply. If interested, please send your CV (including GPA and average scores), transcript, and highlighted publications to me at ([email protected]). Exceptional candidates are also encouraged to apply for Hong Kong PhD Fellowship Scheme (HKPFS).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production
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Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
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Meta-Learning-Based Domain Generalization for Cost-Effective Tool Condition Monitoring in Ultrasonic Metal Welding
Meng, Y., Dong, Z., Lu, K.-C., Li, S. & Shao, C., Jan 2025, In: IEEE Transactions on Industrial Informatics. 21, 1, p. 653-662Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile14 Link opens in a new tab Citations (Scopus)23 Downloads (CityUHK Scholars) -
Federated domain generalization for condition monitoring in ultrasonic metal welding
Eslaminia, A., Meng, Y., Nahrstedt, K. & Shao, C., Dec 2024, In: Journal of Manufacturing Systems. 77, p. 1-12Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
13 Link opens in a new tab Citations (Scopus) -
Corrosion of Al-Fe self-pierce riveting joints with multiphysics-based modeling and experiments
Bansal, P., Zheng, Z., Pan, B., Meng, Y., Wen, W., Banu, M., Li, J., Carlson, B. E., Shao, C., Wang, P. & Li, Y., 9 Jun 2023, In: Journal of Manufacturing Processes. 95, p. 434-445Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open Access17 Link opens in a new tab Citations (Scopus) -
Explainable few-shot learning for online anomaly detection in ultrasonic metal welding with varying configurations
Meng, Y., Lu, K.-C., Dong, Z., Li, S. & Shao, C., 1 Dec 2023, In: Journal of Manufacturing Processes. 107, p. 345-355Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
30 Link opens in a new tab Citations (Scopus) -
ONLINE COST-EFFECTIVE CLASSIFICATION OF MIXED TOOL AND MATERIAL CONDITIONS IN ULTRASONIC METAL WELDING: TOWARDS INTEGRATED MONITORING AND CONTROL
Lu, K.-C., Meng, Y., Dong, Z. & Shao, C., 2023, Proceedings of ASME 2023 18th International Manufacturing Science and Engineering Conference (MSEC2023). New York, NY: American Society of Mechanical Engineers, Vol. 2. v002t07a007. (Proceedings of ASME International Manufacturing Science and Engineering Conference, MSEC).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
7 Link opens in a new tab Citations (Scopus)
Projects
- 1 Active
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ECS: When Machines Learn to See - A Smart Online Monitoring Approach for Ultrasonic Metal Welding
MENG, R. (Principal Investigator / Project Coordinator)
1/01/26 → …
Project: Research
Activities
- 1 Conference / Symposium
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Hong Kong - CityU EngD Society x IMechE HKB Joint Seminar on Intelligent Manufacturing
KONG, W. M. (Advisory Chair) & MENG, R. (Co-organiser)
31 Jan 2026Activity: Organizing or Participating in a conference / an event › Conference / Symposium