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Shanqing Cai
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Conference and Workshop Papers
- 2024
- [c10]Susan Lin
, Jeremy Warner
Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation. CHI 2024: 1043:1-1043:19 - [c9]Piyawat Lertvittayakumjorn
Can Capacitive Touch Images Enhance Mobile Keyboard Decoding? UIST 2024: 8:1-8:17 - [c8]Zheer Xu
SkipWriter: LLM-Powered Abbreviated Writing on Tablets. UIST 2024: 22:1-22:13 - 2023
- [c7]Shanqing Cai
SpeakFaster Observer: Long-Term Instrumentation of Eye-Gaze Typing for Measuring AAC Communication. CHI Extended Abstracts 2023: 397:1-397:8 - 2022
- [c6]Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner:
Context-Aware Abbreviation Expansion Using Large Language Models. NAACL-HLT 2022: 1261-1275 - 2021
- [c5]Shanqing Cai, Lisie Lillianfeld, Katie Seaver, Jordan R. Green, Michael P. Brenner, Philip C. Nelson, D. Sculley:
A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks. Interspeech 2021: 4823-4827 - 2019
- [c4]Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai:
TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning. SysML 2019 - [c3]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:
TensorFlow.js: Machine Learning For The Web and Beyond. SysML 2019 - 2017
- [c2]Eric Breck, Shanqing Cai, Eric Nielsen, Michael Salib, D. Sculley:
The ML test score: A rubric for ML production readiness and technical debt reduction. IEEE BigData 2017: 1123-1132 - 2013
- [c1]Shanqing Cai, H. Timothy Bunnell, Rupal Patel:
Unsupervised vocal-tract length estimation through model-based acoustic-to-articulatory inversion. INTERSPEECH 2013: 1712-1716
Informal and Other Publications
- 2024
- [i8]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:
Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation. CoRR abs/2401.10838 (2024) - [i7]Renjie Liu, Yanxiang Zhang, Yun Zhu, Haicheng Sun, Yuanbo Zhang, Michael Xuelin Huang, Shanqing Cai, Lei Meng, Shumin Zhai:
Proofread: Fixes All Errors with One Tap. CoRR abs/2406.04523 (2024) - [i6]Piyawat Lertvittayakumjorn, Shanqing Cai, Billy Dou, Cedric Ho, Shumin Zhai:
Can Capacitive Touch Images Enhance Mobile Keyboard Decoding? CoRR abs/2410.02264 (2024) - 2023
- [i5]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:
Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments. CoRR abs/2312.01532 (2023) - [i4]Katrin Tomanek, Shanqing Cai, Subhashini Venugopalan:
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion. CoRR abs/2312.14327 (2023) - 2022
- [i3]Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner:
Context-Aware Abbreviation Expansion Using Large Language Models. CoRR abs/2205.03767 (2022) - 2019
- [i2]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:
TensorFlow.js: Machine Learning for the Web and Beyond. CoRR abs/1901.05350 (2019) - [i1]Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai:
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning. CoRR abs/1903.01855 (2019)
Coauthor Index
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