Yi-Zhe Song is a Reader of Computer Vision and Machine Learning, at the Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey.

He leads the SketchX Lab within CVSSP - a large research group of 3 academics, 2 postdocs, and 16 full-time PhD students.

His vision for SketchX is understanding how seeing can be explained by drawing. In other words, how better understanding of human sketch data can be translated to insights of how human visual systems operate, and in turn how such insights can benefit computer vision and cognitive science at large. SketchX publishes consistently in top-tier conferences* (CVPR, ICCV, ECCV, SIGGRAPH Asia, ICML, BMVC) and journals (IJCV, TIP, TVCG, TCSVT), including a Best Paper Award at British Machine Vision Conference 2015.

He founded, and currently leads the MSc in AI programme at Surrey, having previously established an MSc in AI programme at Queen Mary University of London.

He obtained his PhD in 2008 on Computer Vision and Machine Learning from the University of Bath, and received a Best Dissertation Award from his MSc degree at the University of Cambridge in 2004, after graduating with a First Class Honours degree from the University of Bath in 2003.

He regularly serves as Area Chair (AC) for flagship computer vision and machine learning conferences, most recently as AC for ICCV'21, and BMVC'20, and was previously an Associate Editor (AE) for the journal of Neurocomputing (IF: 5.190).

He is a Senior Member of IEEE, a Fellow of the Higher Education Academy, as well as full member of the EPSRC review college. He also reviews for other international funding bodies, such as Czech Science Foundation, and Sao Paulo Research Foundation of Brazil.

*12 x CVPR, 4 x ICCV, 4 x ECCV, 2 x SIGGRAPH Asia, 1 x ICML (as of Nov 2020)