Mozhi Zhang

Ph.D. student
mozhi@cs.umd.edu


I am a third-year Computer Science Ph.D. student at the University of Maryland and a member of CLIP. My advisor is Jordan Boyd-Graber. Previously, I completed my B.S. and M.S.E. degree in Computer Science at the Johns Hopkins University, where I worked with Jason Eisner and David Yarowsky.

I work on natural language processing and machine learning. My current research focuses on building natural language processing systems in low-resource settings.


Publications

What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka.
arXiv preprint
arxiv bibtex

Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan Boyd-Graber.
ACL 2019
arxiv bibtex code

Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification
Mozhi Zhang, Yoshinari Fujinuma, Jordan Boyd-Graber.
ACL DeepLo 2018
arxiv bibtex