2024

  • Khoee, Arsham Gholamzadeh, Yinan Yu, and Robert Feldt. “Domain Generalization through Meta-Learning: A Survey.” Accepted to Artificial Intelligence Review (2024). arXiv:2404.02785

  • Khoee, Arsham Gholamzadeh, Yinan Yu, Robert Feldt, Andris Freimanis, Patrick Andersson, and Dhasarathy Parthasarathy. “GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making.” (2024). arXiv:2408.09785

  • Harrison, Josie, Alexander Hollberg, and Yinan Yu. “Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data.” 2024 European Conference on Computing in Construction Chania, Crete, Greece July 14-17 (2024). arXiv:2404.08557

  • Yu, Yinan, Samuel Scheidegger, and Tomas McKelvey. “Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF).” Accepted to Neurocomputing (2024). arXiv:1910.09359

  • Yu, Yinan, Samuel Scheidegger, Jasmine Elliott, Åsa Löfgren. “climateBUG : A Data-Driven Framework for Analyzing Bank Reporting Through a Climate Lens.” Expert Systems with Applications, Volume 239, 122162, ISSN 0957-4174 (2024). DOI

2023

  • von Numers, Charlotte, Yinan Yu, Aleksandra Petkova, Emmette Hutchison, and Jesper Havsol. “BAUFER: a baseline-enabled facial expression recognition pipeline trained with limited annotations.” In International Workshop on Health Intelligence, pp. 221-236. Cham: Springer Nature Switzerland (2023). DOI