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Mingqing Chen

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The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning

Sep 29, 2023
Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews

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Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning

Aug 05, 2022
Sandy Ritchie, You-Chi Cheng, Mingqing Chen, Rajiv Mathews, Daan van Esch, Bo Li, Khe Chai Sim

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UserLibri: A Dataset for ASR Personalization Using Only Text

Jul 02, 2022
Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey

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Online Model Compression for Federated Learning with Large Models

May 06, 2022
Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen

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Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model

Feb 16, 2022
Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews

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Efficient and Private Federated Learning with Partially Trainable Networks

Oct 06, 2021
Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen

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Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network

Sep 01, 2021
Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews

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Communication-Efficient Agnostic Federated Averaging

Apr 06, 2021
Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh

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Generative Models for Effective ML on Private, Decentralized Datasets

Nov 15, 2019
Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera y Arcas

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