Hello, I'm

Peng Yan

I am a researcher, runner, long distance cyclist, drone photographer, motorbiker, dancer, traveler...

Passionate about AI and building things that matter. Exploring the intersection of technology and everyday life.

Research Life Contact

Publications

Learning Actionable World Models
2025

Learning Actionable World Models for Industrial Process Control

P Yan, A Abdulkadir, GA Schatte, G Aguzzi, J Gha, N Pascher, M Rosenthal, Y Gao, BF Grewe, T Stadelmann

Proceedings of the 12th IEEE Swiss Conference on Data Science (SDS'25), pp. 111-118, Zurich, Switzerland, June 27, 2025

DOI
Agents for Computer Use Survey
2025

A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions

PJ Sager, B Meyer, P Yan, R von Wartburg-Kottler, et al.

arXiv preprint arXiv:2501.16150

PDF
Deep Transfer Learning Survey
2024

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions

P Yan, A Abdulkadir, PP Luley, M Rosenthal, GA Schatte, BF Grewe, T Stadelmann

IEEE Access, January 2024

DOI
Automated Process Monitoring
2024

Automated process monitoring in injection molding via representation learning and setpoint regression

P Yan, A Abdulkadir, G Aguzzi, GA Schatte, BF Grewe, T Stadelmann

Proceedings of the 11th IEEE Swiss Conference on Data Science (SDS'24), Zurich, Switzerland, May 31, 2024

DOI
Data Centric AI
2023

From concept to implementation: The data-centric development process for AI in industry

PP Luley, JM Deriu, P Yan, GA Schatte, T Stadelmann

2023 10th IEEE Swiss Conference on Data Science (SDS)

PDF
PSO Algorithm
2016

Unified optimization based on multi-swarm PSO algorithm and cuckoo search algorithm

Y Gao, P Yan

Control and Decision 31 (4), 601-608

PDF

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Selected Projects

dAIrector

An automated AI director for multi-cam live streaming.

Python Computer Vision LLMs

GAN4OSR

GAN-based open set recognition for robust classification under unknown categories.

Python GAN Deep Learning