Photo credit: Frank Chen
E-mail: robinjia at cs dot stanford dot edu
News: Starting in the Fall of 2021, I will be an assistant professor in the Department of Computer Science at the University of Southern California!
I am currently a visiting researcher at Facebook AI Research, working with Luke Zettlemoyer and Douwe Kiela. I recently graduated with a Ph.D. in Computer Science from Stanford University, where I was 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.
Building Robust Natural Language Processing Systems.
Ph.D. Dissertation, 2020.
Robust Encodings: A Framework for Combating Adversarial Typos.
Erik Jones, Robin Jia*, Aditi Raghunathan*, and Percy Liang.
Association for Computational Linguistics (ACL), 2020.
(bib) (codalab) (github)
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.
“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
- In the Summer of 2019, I was the head instructor for CS221, Stanford’s introductory artificial intelligence class, which had over 100 enrolled students.
- In the Winter of 2018, I was a TA for CS124, Stanford’s undergraduate natural language processing class, taught by Dan Jurafsky.
- In the Autumn of 2015, I was the head TA for CS221, Stanford’s introductory artificial intelligence class, taught by Percy Liang. I led a team of 18 TAs for a class with 550 enrolled students.
- I was a section leader for Stanford’s CS106A (Introduction to Programming) class in the Winter of 2012. I led weekly 50-minute sections, assisted students, graded assignments, and helped maintain some of our internal grading scirpts.
- In 2011 and 2012, I was a Math 50’s Series Tutor, as part of the Stanford University Math Organization (SUMO) tutoring program. I also ran the tutoring program during the 2011-2012 school year.
- Co-organizer of the Second Workshop on Machine Reading and Question Answering (MRQA) at EMNLP 2019
- Co-organizer of the First Workshop on Machine Reading and Question Answering (MRQA) at ACL 2018
- Reviewer for ACL (2018, 2019), EMNLP (2018, 2019), NAACL (2019), ICML (2019), CoNLL (2018), AKBC (2019), NAACL GenDeep Workshop (2018), and EMNLP DeepLo Workshop (2019)
- In 2018, I was an intern with Hoifung Poon at Microsoft Research Redmond, working on biomedical machine reading for precision medicine.
- In 2016, I worked with Larry Heck, Georgi Nikolov, and Dilek Hakkani-Tür on the Deep Dialogue team at Google Research, exploring how to build task-based dialogue systems that can learn from personalized user feedback.
- In 2014, I worked on the Crisis Response Team within the Social Impact arm of Google, where I built infrasturcutre to automatically launch informational pages about hurricanes and tropical storms for people in affected areas.
- In 2012, I worked on the YouTube Ads team on a machine learning project to understand user behavior on the YouTube search page.
Forward Genomics for Conserved Noncoding Elements with Gray Camp, Amir Marcovitz, and Gill Bejerano.
Starting in October of 2012, I worked on computational genomics research with Professor Gill Bejerano. I developed a computational pipeline to predict function of conserved noncoding elements by using their evolutionary histories to match them with known traits. I completed my undergraduate honors thesis with Professor Bejerano as my advisor. (poster)
Automated Gating of Flow Cytometry Data with Robert Bruggner, Rachel Finck, Noah Zimmerman, and David Dill.
Starting in June of 2011, I worked with Professor David Dill’s group on automated clustering (“gating”) of high-dimensional flow cytometry data. Our work was presented at the Flowcap-II summit. (presentation, poster)
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!
- Mozart: Sonata for Two Pianos in D Major, K. 448 (video)
- Shostakovich: Concertino for Two Pianos in A Minor, Op. 94 (video)
- Schubert: Allegro in A minor “Lebensstürme,” D.947 (video)
- Brahms: Variations on a Theme by Haydn,* Op. 56a (video)
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.
- Mozart: Sonata in B-Flat, K 281 (m4a for Mov. 1, Mov. 2, Mov. 3)
- Chopin: Ballade No. 1 in G Minor (m4a)
- Debussy: L’Isle Joyeuse (m4a)
- Liszt: Sonata in B Minor (m4a)
Schumann: Toccata, Op. 7
From a practice session, while I was preparing for a master class with (the amazing) Jon Nakamatsu in 2013. (m4a)
Mendelssohn: Capriccio Brillante, Op. 22
As one of the three winners of my high school’s concerto competition, I had the great privilege of playing this piece with my high school orchestra. The video is broken up into two parts on YouTube: Part 1, Part 2.
- Stanford Math Tournament. Throughout my time at Stanford, I have helped organize the Stanford Math Tournament, a high school math tournament created and run by Stanford students. I was the primary editor of the Geometry Test in 2011 and 2012, the Calculus Test in 2013, and the Team Test in 2014. I was also the primary developer for our online registration website.