Robin Jia

Profile picture Photo credit: Frank Chen
E-mail: robinjia at stanford dot edu

I am a sixth-year Ph.D. student in Computer Science at Stanford University, advised by Percy Liang. I am interested in building natural language understanding systems that are robust when given unexpected inputs. In the past, I have also worked on various projects in computational biology. From 2014 to 2019, I was supported by an NSF Graduate Research Fellowship.

Previously, I was an undergraduate at Stanford University, from which I received a B.S. with Honors in Computer Science and a Minor in Biology in June 2014.


Certified Robustness to Adversarial Word Substitutions.
Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang.
Empirical Methods in Natural Language Processing (EMNLP), 2019.
(bib) (codalab) (github)

Document-Level N-ary Relation Extraction with Multiscale Representation Learning.
Robin Jia, Cliff Wong, and Hoifung Poon.
North American Association for Computational Linguistics (NAACL), 2019.
(bib) (code and data)

Know What You Don't Know: Unanswerable Questions for SQuAD.
Pranav Rajpurkar*, Robin Jia*, and Percy Liang.
Best Short Paper Award.
Association for Computational Linguistics (ACL), 2018.
(bib) (website) (codalab) (pptx slides) (pdf slides)

Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer.
Juncen Li, Robin Jia, He He, and Percy Liang.
North American Association for Computational Linguistics (NAACL), 2018.
(bib) (codalab) (pptx slides) (pdf slides)

Adversarial Examples for Evaluating Reading Comprehension Systems.
Robin Jia and Percy Liang.
Empirical Methods in Natural Language Processing (EMNLP), 2017.
Outstanding Paper Award.
(bib) (codalab) (pptx slides) (pdf slides)

Learning Concepts through Conversations in Spoken Dialogue Systems.
Robin Jia, Larry Heck, Dilek Hakkani-Tür, and Georgi Nikolov.
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017.
(bib) (data)

Data Recombination for Neural Semantic Parsing.
Robin Jia and Percy Liang.
Association for Computational Linguistics (ACL), 2016.
(bib) (codalab) (pptx slides) (pdf slides)

"Reverse genomics" predicts function of human conserved noncoding elements.
Amir Marcovitz, Robin Jia, and Gill Bejerano.
Molecular Biology and Evolution, 2016.

Mx1 and Mx2 key antiviral proteins are surprisingly lost in toothed whales.
Benjamin A. Braun, Amir Marcovitz, J. Gray Camp, Robin Jia, and Gill Bejerano.
Proceedings of the National Academy of Sciences (PNAS), 2015.

* denotes equal contribution


Professional Service

Other Work

Industry Internships

Undergraduate Research


When I'm not coding, I spend a good amount of my time playing the piano. For a long time, I studied piano with with Angela Wright of Oak Park, Illinois. Since coming to Stanford in 2010, my teacher has been Laura Dahl. At various points, I have also studied solo piano with George Barth, duo piano with Kumaran Arul, and chamber music with Stephen Harrison.

Here are some of my recordings:

Piano duo concert, June 2017

Lisa Wang and I gave a piano duo concert on June 4, 2017. The recordings are all on YouTube!

* Probably not actually by Haydn

Piano Quintet Recital, May 2016

Ricky Wedeen, Brad Girardeau, Lee Fan, Andrew Guo, and I gave a concert on May 18, 2016, at which we performed the Schumann Piano Quintet, Op. 44 (mp3).

Senior Recital, April 2014

I gave my undergraduate senior recital on April 12, 2014. Here are the live audio recordings. If you're going to listen to one thing here, I think the Debussy probably came out the best.