Mingqing Chen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Knowledge Integration

Cardiac Arrhythmias

Volume Visualization

Top Venues

Publications

Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews
FedAQT: Accurate Quantized Training with Federated Learning. ICASSP (2024)
Mingqing Chen, Jianguo Huang, Xuehai Huang
A Robust Lower-Order Mixed Finite Element Method for a Strain Gradient Elastic Model. SIAM J. Numer. Anal. 61 (5) (2023)
Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. ASRU (2023)
Mingqing Chen
The Effect of Big Data Capability and Market-Oriented Knowledge Integration on Product Speed-to-Market. J. Inf. Knowl. Manag. 22 (5) (2023)
Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
Online Model Compression for Federated Learning with Large Models. ICASSP (2023)
Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning. CoRR (2023)
Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
UserLibri: A Dataset for ASR Personalization Using Only Text. INTERSPEECH (2022)
Sandy Ritchie, You-Chi Cheng, Mingqing Chen, Rajiv Mathews, Daan van Esch, Bo Li, Khe Chai Sim
Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning. CoRR (2022)
Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. CoRR (2022)
Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews
Scaling Language Model Size in Cross-Device Federated Learning. CoRR (2022)
Mingqing Chen, Jianguo Huang, Sen Lin
virtual element method of Kirchhoff plates. Comput. Math. Appl. 120 (2022)
Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
Online Model Compression for Federated Learning with Large Models. CoRR (2022)
Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konecný, Andrew Hard, Tom Goldstein
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. ICLR (2022)
Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
UserLibri: A Dataset for ASR Personalization Using Only Text. CoRR (2022)
Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. ICASSP (2022)
Mingqing Chen, Jianguo Huang, Xuehai Huang
A double-parameter robust lower order mixed element method for a strain gradient elastic model. CoRR (2022)
Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
Communication-Efficient Agnostic Federated Averaging. Interspeech (2021)
Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. CoRR (2021)
Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen
Efficient and Private Federated Learning with Partially Trainable Networks. CoRR (2021)
Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
Communication-Efficient Agnostic Federated Averaging. CoRR (2021)
Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas
Generative Models for Effective ML on Private, Decentralized Datasets. ICLR (2020)
Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley
Federated Learning of N-gram Language Models. CoRR (2019)
Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley
Federated Learning of N-Gram Language Models. CoNLL (2019)
Mingqing Chen, Rajiv Mathews, Tom Ouyang, Françoise Beaufays
Federated Learning Of Out-Of-Vocabulary Words. CoRR (2019)
Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas
Generative Models for Effective ML on Private, Decentralized Datasets. CoRR (2019)
Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. CoRR (2017)
Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou
Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. MICCAI (3) (2017)
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
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. MICCAI (3) (2017)
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
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. CoRR (2017)
Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. MICCAI (3) (2017)
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
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. IPMI (2017)
Mingqing Chen, Hua Zhong, Yefeng Zheng, Gareth Funka-Lea
Component-composition based heart isolation for 3D volume visualization of coronary arteries. ISBI (2015)
Mingqing Chen, Yefeng Zheng, Yang Wang, Kerstin Müller, Guenter Lauritsch
Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector. MICCAI (3) (2013)
Mingqing Chen, Kunlin Cao, Yefeng Zheng, R. Alfredo C. Siochi
Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images. IEEE Trans. Medical Imaging 32 (8) (2013)
Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Dorin Comaniciu
Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram. ISBI (2012)
Mingqing Chen, Junjie Bai, Yefeng Zheng, R. Alfredo C. Siochi
3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search. MICCAI (1) (2012)
Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu
Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. MICCAI (3) (2011)
Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, Xiaodong Wu
Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors. IPMI (2011)