Songbai Yan

PhD Student
Department of Computer Science and Engineering
University of California, San Diego

Office: EBU3B 4142
Email: lastnamefirstname dot eng dot ucsd dot edu


About

I am a PhD candidate advised by Prof. Kamalika Chaudhuri and Prof. Tara Javidi. My research focuses on algorithms and theory for learning with human in the loop. In particular, I study new annotation schemes for active learning that improve the quality of human annotations and thus allow for annotation-effective learning. I also work on active learning algorithms with theoretical guarantees that properly handle annotation mistakes and side information.

Prior to that, I received my bachelor's degree in 2014 from Department of Computer Science and Technology at Peking University, where I worked with Prof. Liwei Wang on various topics in learning theory.

My resume can be found here.


Publications


Reports