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zijwang [at] cs.stanford.edu
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I am a second-year research master student in Symbolic Systems at Stanford University. My research focuses on Natural Language Processing and Deep Learning, with an emphasis on Computational Social Science, Computational Semantics and Pragmatics, Algorithmic Fairness, and Interpretability. I am a member of the Stanford NLP Group, advised by Prof. Chris Potts.
Previously, I received my Bachelor's degree in Computer Science from the University of Michigan, where I worked with Prof. David Jurgens and Prof. Kevyn Collins-Thompson. Earlier, I attended Shanghai Jiao Tong University, before transferring to Michigan through the dual degree program.
This quarter, I am a CA for CS 224U: Natural Language Understanding.
M.S. in Symbolic Systems, Stanford University
2018 - 2020
B.S. in Computer Science, minor in Linguistics, University of Michigan
2016 - 2018
B.S. in Electrical and Computer Engineering, Shanghai Jiao Tong University
2014 - 2016
TalkDown: A corpus for condescension detection in context.
Zijian Wang and Christopher Potts.
Answering Complex Open-Domain Questions Through Iterative Query Generation.
Peng Qi, Xiaowen Lin*, Leo Mehr*, Zijian Wang*, and Christopher D. Manning.
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data.
Zijian Wang, Scott Hale, David Adelani, Przemyslaw Grabowicz, Timo Hartmann, Fabian Flöck, and David Jurgens.
WWW 2019 Best Poster Presentation Award
It's going to be okay: Measuring Access to Support in Online Communities.
Zijian Wang and David Jurgens.
Social work in the classroom? A tool to evaluate topical relevance in student writing.
Heeryung Choi, Zijian Wang, Christopher Brooks, Kevyn Collins-Thompson, Beth Glover Reed, and Dale Fitch.