I am a Ph.D. student at the University of Maryland advised by Jordan Boyd-Graber. I study natural language processing and machine learning with a focus on low-resource settings.

Previously, I completed B.S. and M.S.E. at the Johns Hopkins University, where I worked with Jason Eisner and David Yarowsky.

I am visiting New York University, hosted by Kyunghyun Cho.

Publications

^* = equal contribution

Interactive Refinement of Cross-Lingual Word Embeddings
Michelle Yuan^*, Mozhi Zhang^*, Benjamin Van Durme, Leah Findlater, Jordan Boyd-Graber
arXiv Preprint
arxiv bibtex

What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
ICLR 2020 (Spotlight)
arxiv bibtex code

Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification
Mozhi Zhang, Yoshinari Fujinuma, Jordan Boyd-Graber
AAAI 2020
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