Mingqing Chen

According to our database, Mingqing Chen authored at least 29 papers between 2011 and 2024.

Collaborative distances:

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

2024

FedAQT: Accurate Quantized Training with Federated Learning.

Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A Robust Lower-Order Mixed Finite Element Method for a Strain Gradient Elastic Model.

Mingqing Chen, Jianguo Huang, Xuehai Huang

SIAM J. Numer. Anal., October, 2023

The Effect of Big Data Capability and Market-Oriented Knowledge Integration on Product Speed-to-Market.

Mingqing Chen

J. Inf. Knowl. Manag., October, 2023

Online Model Compression for Federated Learning with Large Models.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

A double-parameter robust lower order mixed element method for a strain gradient elastic model.

Mingqing Chen, Jianguo Huang, Xuehai Huang

CoRR, 2022

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

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

CoRR, 2022

Scaling Language Model Size in Cross-Device Federated Learning.

Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews

CoRR, 2022

A posteriori error estimation for a <i>C</i>¹ virtual element method of Kirchhoff plates.

Mingqing Chen, Jianguo Huang, Sen Lin

Comput. Math. Appl., 2022

UserLibri: A Dataset for ASR Personalization Using Only Text.

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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions.

Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konecný, Andrew Hard, Tom Goldstein

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Efficient and Private Federated Learning with Partially Trainable Networks.

Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen

CoRR, 2021

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

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

CoRR, 2021

Communication-Efficient Agnostic Federated Averaging.

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

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

2020

Generative Models for Effective ML on Private, Decentralized Datasets.

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Federated Learning Of Out-Of-Vocabulary Words.

Mingqing Chen, Rajiv Mathews, Tom Ouyang, Françoise Beaufays

CoRR, 2019

Federated Learning of N-Gram Language Models.

Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2017

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network.

Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes.

Dong Yang, Tao Xiong, Daguang Xu, Shaohua Kevin Zhou, Zhoubing Xu, Mingqing Chen, Jin Hyeong Park, Sasa Grbic, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.

Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.

Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu

Proceedings of the Information Processing in Medical Imaging, 2017

2015

Component-composition based heart isolation for 3D volume visualization of coronary arteries.

Mingqing Chen, Hua Zhong, Yefeng Zheng, Gareth Funka-Lea

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images.

Mingqing Chen, Kunlin Cao, Yefeng Zheng, R. Alfredo C. Siochi

IEEE Trans. Medical Imaging, 2013

Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector.

Mingqing Chen, Yefeng Zheng, Yang Wang, Kerstin Müller, Guenter Lauritsch

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search.

Mingqing Chen, Junjie Bai, Yefeng Zheng, R. Alfredo C. Siochi

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram.

Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Dorin Comaniciu

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram.

Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors.

Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, Xiaodong Wu

Proceedings of the Information Processing in Medical Imaging, 2011