Zijian Wang – Stanford University – Natural Language Processing

Zijian Wang

I am currently an Applied Scientist at Amazon AWS AI Labs in East Palo Alto, working with Andrew Arnold. Before that, I worked at Amazon Search with S V N "Vishy" Vishwanathan.

I graduated with a research-based master's degree in Symbolic Systems from Stanford University in 2020. My research focuses on Natural Language Processing, with an emphasis on Computational Social Science, Computational Pragmatics, and Question Answering. I was 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/dual Bachelor's degree in Electrical and Computer Engineering from Shanghai Jiao Tong University via the dual degree program.

Email: zijwang@cs.stanford.edu | Twitter | Google Scholar | CV

Publications

(*=equal contribution)

	Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives Elisa Kreiss, Zijian Wang, and Christopher Potts CoNLL, 2020 paper / code + data / video
	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, Xianwen Lin, Leo Mehr, Zijian Wang, and Christopher D. Manning EMNLP-IJCNLP*, 2019 paper / code / blog post
	Demographic Inference and Representative Population Estimates from Multilingual Social Media Data (Best Poster Award) Zijian Wang, Scott A. Hale, David Adelani, Przemyslaw A. Grabowicz, Timo Hartmann, Fabian Flöck, and David Jurgens TheWebConf (WWW), 2019 (also presented at IC2S2 2019) paper / demo / code / pip-installable package / poster
	It's going to be okay: Measuring Access to Support in Online Communities Zijian Wang and David Jurgens EMNLP, 2018 paper / project webpage / pip-installable package
	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

Academic Services

Teaching Assistant:

CS 224U Natural Language Understanding, Spring 2020, Stanford University
Applied Machine Learning (Coursera MOOC by the University of Michigan), 2017-2018, University of Michigan (founding and head TA, 210k+ enrollment)
Introduction to Programming, Summer 2015, Shanghai Jiao Tong University
Academic Writing II, Spring 2015, Shanghai Jiao Tong University
Academic Writing I, Fall 2014, Shanghai Jiao Tong University

Program Committee/Reviewer:

*ACL conferences (NAACL/ACL/EMNLP) and workshops 20/21, ICWSM 19/20/21, WebSci 20/21, AAAI 21

Other:

Volunteer: EMNLP 19
Webmaster: Stanford NLP Group (2019-2020)
Admission Reader: Stanford Symbolic Systems Program (2019 & 2020)
Transfer Student Leader: University of Michigan (2017-2018)

Homepage credits: Jon Barron