I am a third-year PhD student at the School of Engineering in the University of Edinburgh, supervised by Dr. Elliot J. Crowley and Dr. Shay Cohen. I am a member of the BayesWatch group.

My research focuses on the efficient post-training of Large Language Models (LLM) as well as their applications in Neural Architecture Search (NAS).

Previously, I received my First Class MSci degree in Computer Science (Artificial Intelligence) from King’s College London.

News

[10/2025] Released our work ONNX-Net, a framework for universal representations and instant performance prediction in neural architecture search. Checkout the preprint, project page and our dataset.
[05/2025] Our paper on Transferrable Surrogates accepted to AutoML 2025!
[04/2025] Released our work on Transferrable Surrogates for NAS. Checkout the preprint and our project page.

Publications

ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures[preprint][project page][dataset][code] Shiwen Qin, Alexander Auras, Shay B. Cohen, Elliot J. Crowley, Michael Moeller, Linus Ericsson, Jovita Lukasik.

Transferrable Surrogates in Expressive Neural Architecture Search Spaces [paper][project page][code] Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson, in AutoML, 2025.

Teaching

Introduction to Python, Tutor, University of Edinburgh (2025)

Data Analysis and Machine Learning, Tutor, University of Edinburgh (2025)

Reviewing

• Journals: Transactions on Machine Learning Research (2025)