Hi — people from the Internet. I am Shikun Liu (刘诗昆 in Chinese characters), a second-year Ph.D. student in robotics, studying at Imperial College London. I am affiliated to the Dyson Robotics Lab, co-advised by Edward Johns and Andrew Davison. I am interested in and actively working on AutoML, self-supervised learning and meta learning with applications in computer vision and robotics. I completed my Master of Research degree with Distinction at the same lab working on multi-task and auxiliary learning. Prior to joining Imperial College, I obtained my Bachelor degrees in Mathematics and Electrical Engineering at Penn State - Schreyer Honors College. My research is generously funded by Dyson.
My general research interest is to build learning systems which can induce learning algorithms automatically, with no or minimal human supervision. This includes learning a universal representation from various tasks; automating network architecture design with adaptation to different input signals; and showing a quick mastery of new tasks based on few demonstrations.
I like drawing beautiful diagrams and all sorts of formats for data visualisation. And I am a strong advocate of reproducible and open machine learning research, for which I open-sourced all of my projects in my GitHub page. Apart from research, I enjoy arts and design, particularly in architecture, graphic design and typography. I also spend time building and collecting bespoke mechanical keyboards.