Peng Yan
Peng Yan
ZHAW
School of Engineering
Machine Perception & Cognition Group
Technikumstrasse 71
8400 Winterthur
Arbeit an der ZHAW
Arbeits- und Forschungsschwerpunkte
Computer Vision
Berufserfahrung
System Engineer
China Mobile
09 / 2016 - 07 / 2019
Aus- und Weiterbildung
Ausbildung
M.S. in Data Science / Data Science
University of Zurich
09 / 2019 - 06 / 2022
Netzwerk
ORCID digital identifier
Social Media
Projekte
- dAIrector – Automatisierte Mehrkamera-Liveproduktion für Veranstaltungen / Teammitglied / laufend
- DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Teammitglied / abgeschlossen
Publikationen
Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
- Sager, P. J. et al. (2026) 'A comprehensive survey of agents for computer use : foundations, challenges, and future directions', Journal of Artificial Intelligence Research, 85(34). doi: 10.1613/jair.1.19490.
- Yan, P. et al. (2024) 'A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions', IEEE Access, 12, pp. 3768–3789. doi: 10.1109/ACCESS.2023.3349132.
Schriftliche Konferenzbeiträge, peer-reviewed
- Yan, P. et al. (2025) 'Learning actionable world models for industrial process control', in 2025 IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 111–118. doi: 10.1109/SDS66131.2025.00022.
- Yan, P. et al. (2024) 'Automated process monitoring in injection molding via representation learning and setpoint regression', in 2024 11th IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 138–145. doi: 10.1109/SDS60720.2024.00027.
- Luley, P.-P. et al. (2023) 'From concept to implementation : the data-centric development process for AI in industry', in 2023 10th IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 73–76. doi: 10.1109/SDS57534.2023.00017.