Xiaoan Ding

I have graduated from the University of Chicago.

News

Now. I joined Amazon Alexa AI as a research scientist. Connect with me via LinkedIn or email (xiaoanding at uchicago dot edu).
June 2022. Completed the Ph.D. dissertation defense! Thanks to my advisor, Kevin Gimpel! Thanks to my amazing thesis committee: Chenhao Tan, Sam Wiseman, and Janos Simon.
June 2021. Presented at NAACL 2021 about my paper.
May 2021. Joined Natural Language Processing Group - Microsoft Research as a summer intern.
April 2021. Presented my thesis proposal.

Selected Publication

FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models.
Xiaoan Ding , Kevin Gimpel (NAACL’21)
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference.
Xiaoan Ding *, Tianyu Liu *, Baobao Chang, Zhifang Sui, Kevin Gimpel (EMNLP’20)
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference.
Tianyu Liu *, Xin Zheng *, Xiaoan Ding, Baobao Chang, Zhifang Sui (CoNLL’2020)
Generating Diverse Story Continuations with Controllable Semantics.
Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel (EMNLP WNGT’19)
Latent-Variable Generative Models for Data-Efficient Text Classification.
[code]
Xiaoan Ding, Kevin Gimpel (EMNLP’19)

Internship

Research Intern, Microsoft, Redmond, Washington, 2021
Applied Scientist Intern, Amazon, Seattle, Washington, 2020
Research Intern, Google, NYC, New York, 2018

Awards

UU Fellowship 2017
Google Excellence Scholarship 2012
National Schorlarship 2011

Teaching

TA of Natural Language Processing - Winter 2020 (designed homework and worked with undergraduate students on research projects)
TA of Machine Learning - Fall 2020
TA of Computational Linguistics - Spring 2020
TA of Introduction to Data Science - Autumn 2019
TA of Machine Learning for Public Policy - Spring 2019

Contact

Email Address: xiaoanding at uchicago dot edu
Office Address:
JCL 375
Department of Computer Science
The University of Chicago
5730 S. Ellis Avenue
Chicago, IL 60637