Jing Huang

I am a PhD student in the Stanford NLP Group, advised by Prof. Christopher Potts and Diyi Yang. I am interested in understanding what makes neural network models generalize well, usually by studying the causal mechanisms that connect model behaviors, internal representations, and training data.

Prior to Stanford, I was at Google Research. Before that, I did my undergrad at University of Illinois at Urbana-Champaign, advised by Prof. Svetlana Lazebnik.

Google Scholar / Github