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Jialin Zhu

I worked as a software engineer for several years after getting my bachelor’s degree in China, and got strong coding skills with various programming languages. This is one product that includes lots of my code: Macgo Mac Blu-ray Player Pro.

I was really interested in how AlphaGo beat Sedol Lee in 2016, so I came to the University of Leeds to start my master program about Artificial Intelligence in September 2018.

Then I was honored to join the VCG research group as a PhD student in December 2019 and began to transfer from an experienced engineer to a good researcher. I am supervised by Dr. Tom Kelly, Dr. He Wang, and Prof. David Hogg.

My main research interest is to use Deep Learning to create large-scale (aka theoretically infinite) virtual environments both in 2D and 3D. The knowledge I know covers a very wide range, from the Deep Learning application of 2D images and 3D objects generation in Computer Vision and Computer Graphics to the procedural modelling, geometry processing, texturing, and rendering in traditional Computer Graphics. I have extensive experience with 2D image generation using Deep Learning techniques, especially for large images, and I am continuing to explore the field of large-scale 3D generation because there are many incredible applications and fascinating research areas.

I am also a good runner (10k pb-38:08, half marathon pb-1:23:34, full marathon pb-2:56:36, and my Strava link), an amateur bartender, a mediocre photographer and a guitarist that can’t play any chords but solos.


Room: 2.04, Sir William Henry Bragg Building
Email: ml17j7z@leeds.ac.uk / scsjzh@leeds.ac.uk