Zijian Wang

ZIJIAN WANG

↪How to pronounce "Zijian"?

Bio

Since August 2020, I am an Applied Scientist at Amazon.com (Palo Alto site).

I graduated with a master by research degree in Symbolic Systems at Stanford University in June 2020. My research focuses on Natural Language Processing, with an emphasis on Computational Social Science and Computational Pragmatics. I am a member of the Stanford NLP Group, advised by Prof. Chris Potts.

Previously, I received my Bachelor's degree in Computer Science and Linguistics from the University of Michigan, where I worked with Prof. David Jurgens and Prof. Kevyn Collins-Thompson. I received a second Bachelor's degree in Electrical and Computer Engineering from Shanghai Jiao Tong University via the dual degree program.

Education

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

Publications

2020
Modeling subjective assessments of guilt in newspaper crime narratives.
Elisa Kreiss*, Zijian Wang*, and Christopher Potts.
CoNLL 2020
[arxiv] [code and data]

2019
TalkDown: A corpus for condescension detection in context.
Zijian Wang and Christopher Potts.
EMNLP-IJCNLP 2019
[paper] [code] [data]

Answering Complex Open-Domain Questions Through Iterative Query Generation.
Peng Qi, Xiaowen Lin*, Leo Mehr*, Zijian Wang*, and Christopher D. Manning. 
EMNLP-IJCNLP 2019
[paper] [code]

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
[paper] [code] [demo] [poster]

2018
It's going to be okay: Measuring Access to Support in Online Communities.
Zijian Wang and David Jurgens.
EMNLP 2018
[paper] [code] [data]

2017
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.
EDM 2017
[paper]

Teaching

Course Assistant, CS 224U: Natural Language Understanding, Stanford University
Spring 2020

Founding and Head TA, Applied Machine Learning, Coursera MOOC, University of Michigan
Summer 2017-18

TA, Intro. to Programming, Shanghai Jiao Tong University
Summer 2016

TA, Academic Writing, Shanghai Jiao Tong University
Fall 2015