Shanqing Cai

Software Engineer, Google

Joined

April 2020

Names

Shanqing Cai (Preferred)

Emails

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Software Engineer

Google (google.com)

2016 – Present

Software Engineer

MathWorks (mathworks.com)

2014 – 2016

Postdoctoral Associate

Boston University (bu.edu)

2012 – 2014

PhD student

Massachusetts Institute of Technology (mit.edu)

2007 – 2012

MS student

Johns Hopkins University (jhu.edu)

2005 – 2007

Undergrad student

Tsinghua University (tsinghua.edu.cn)

2001 – 2005

Advisors, Relations & Conflicts

No relations added

Expertise

Deep Learning

2016 – Present

Speech Science

2007 – Present

Neuroscience

2007 – Present

Publications

Context-Aware Abbreviation Expansion Using Large Language Models
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael Brenner
- 25 Jun 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Context-Aware Abbreviation Expansion Using Large Language Models
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
Context-Aware Abbreviation Expansion Using Large Language Models
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
- 2022 (modified: 24 Apr 2023)
- NAACL-HLT 2022
- Readers: Everyone
A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks
Shanqing Cai, Lisie Lillianfeld, Katie Seaver, Jordan R. Green, Michael P. Brenner, Philip C. Nelson, D. Sculley
- 2021 (modified: 24 Apr 2023)
- Interspeech 2021
- Readers: Everyone
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning.
Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
TensorFlow.js: Machine Learning for the Web and Beyond
Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg
- 2019 (modified: 08 Nov 2022)
- CoRR 2019
- Readers: Everyone
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning
Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai
- 2019 (modified: 24 Apr 2023)
- CoRR 2019
- Readers: Everyone
TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning
Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai
- 2019 (modified: 24 Apr 2023)
- MLSys 2019
- Readers: Everyone
TensorFlow.js: Machine Learning For The Web and Beyond
Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg
- 2019 (modified: 24 Apr 2023)
- MLSys 2019
- Readers: Everyone
The ML test score: A rubric for ML production readiness and technical debt reduction
Eric Breck, Shanqing Cai, Eric Nielsen, Michael Salib, D. Sculley
- 2017 (modified: 08 Nov 2022)
- BigData 2017
- Readers: Everyone

View all 12 publications

Co-Authors

View all 42 co-authors