Shanqing Cai

According to our database, Shanqing Cai authored at least 10 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation.

Susan Lin, Jeremy Warner, J. D. Zamfirescu-Pereira, Matthew G. Lee, Sauhard Jain, Michael Xuelin Huang, Piyawat Lertvittayakumjorn, Shanqing Cai, Shumin Zhai, Björn Hartmann, Can Liu

CoRR, 2024

2023

Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion.

Katrin Tomanek, Shanqing Cai, Subhashini Venugopalan

CoRR, 2023

Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments.

Shanqing Cai, Subhashini Venugopalan, Katie Seaver, Xiang Xiao, Katrin Tomanek, Sri Jalasutram, Meredith Ringel Morris, Shaun K. Kane, Ajit Narayanan, Robert L. MacDonald, Emily Kornman, Daniel E. Vance, Blair Casey, Steve M. Gleason, Philip Q. Nelson, Michael P. Brenner

CoRR, 2023

SpeakFaster Observer: Long-Term Instrumentation of Eye-Gaze Typing for Measuring AAC Communication.

Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Shaun K. Kane, Meredith Ringel Morris, Richard Cave, Robert L. MacDonald, Jon Campbell, Blair Casey, Emily Kornman, Daniel E. Vance, Jay C. Beavers

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Context-Aware Abbreviation Expansion Using Large Language Models.

Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

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

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2019

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

Proceedings of Machine Learning and Systems 2019, 2019

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

Proceedings of Machine Learning and Systems 2019, 2019

2017

The ML test score: A rubric for ML production readiness and technical debt reduction.

Eric Breck, Shanqing Cai, Eric Nielsen, Michael Salib, D. Sculley

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2013

Unsupervised vocal-tract length estimation through model-based acoustic-to-articulatory inversion.

Shanqing Cai, H. Timothy Bunnell, Rupal Patel

Proceedings of the INTERSPEECH 2013, 2013