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

[07/2026] Our paper ONNX-Net accepted to AutoML 2026!
[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.

Selected Publications

ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures

Shiwen Qin, Alexander Auras, Shay B. Cohen, Elliot J. Crowley, Michael Moeller, Linus Ericsson, Jovita Lukasik

AutoML 2026

Transferrable Surrogates in Expressive Neural Architecture Search Spaces

Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson

AutoML 2025

All publications →

Teaching

Reviewing

  • Conferences: ICML(2026)

  • Journals: TMLR(2025)