Humans of AI3SD: Yingfang Yuan

Pauli, Michelle and Yuan, Yingfang (James) , Frey, Jeremy G., Kanza, Samantha and Niranjan, Mahesan (eds.) (2022) Humans of AI3SD: Yingfang Yuan (Humans-of-AI3SD, 37) University of Southampton 6pp. (doi:10.5258/SOTON/AI3SD0236).

Record type: Monograph (Project Report)

Abstract

This interview forms part of our Humans of AI3SD Series.

In this Humans of AI4SD interview he discusses the challenges involved in graph networks and hyperparameter optimisation, making the most of interdisciplinary research, how AI can speed things up, and his advice for early career researchers.

Text

Humans_of_AI3SD_Interview-37_YY - Version of Record

Available under License Creative Commons Attribution.

Download (258kB)

More information

Published date: 12 August 2022

Additional Information: Yingfang (James) Yuan is a PhD candidate working under the supervision of Dr Wei Pang, Prof Mike Chantler and Prof George M. Coghill (external) in the School of Mathematical and Computer Sciences at Heriot-Watt University. Yingfang received his MSc in Big Data and High-Performance Computing at University of Liverpool. His research interests include machine learning; deep learning (especially in Graph Neural Networks and AutoML). He particularly focused on investigating the impact of hyperparameter optimisation on graph neural networks applied to predict molecular properties and the e�ciency of hyperparameter optimisation approaches.

Keywords: AI3SD, Interview

Learn more about Vision, Learning and Control research Learn more about Institute for Life Sciences research