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2020 – today
- 2024
[c19]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: 6100-6104- 2023
- [j4]Mingqing Chen:
The Effect of Big Data Capability and Market-Oriented Knowledge Integration on Product Speed-to-Market. J. Inf. Knowl. Manag. 22(5): 2350024:1-2350024:14 (2023) - [j3]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): 2237-2260 (2023) - [c18]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: 1-7 - [c17]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. ICASSP 2023: 1-5 - [i15]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 abs/2310.00141 (2023) - 2022
- [j2]Mingqing Chen, Jianguo Huang, Sen Lin:
A posteriori error estimation for a C1 virtual element method of Kirchhoff plates. Comput. Math. Appl. 120: 132-150 (2022) - [c16]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: 6097-6101 - [c15]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 - [c14]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: 694-698 - [i14]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 abs/2202.08171 (2022) - [i13]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 abs/2204.09715 (2022) - [i12]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. CoRR abs/2205.03494 (2022) - [i11]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 abs/2207.00706 (2022) - [i10]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 abs/2208.03067 (2022) - [i9]Mingqing Chen, Jianguo Huang, Xuehai Huang:
A double-parameter robust lower order mixed element method for a strain gradient elastic model. CoRR abs/2210.09552 (2022) - 2021
- [c13]Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh:
Communication-Efficient Agnostic Federated Averaging. Interspeech 2021: 871-875 - [i8]Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh:
Communication-Efficient Agnostic Federated Averaging. CoRR abs/2104.02748 (2021) - [i7]Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews:
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. CoRR abs/2108.11943 (2021) - [i6]Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen:
Efficient and Private Federated Learning with Partially Trainable Networks. CoRR abs/2110.03450 (2021) - 2020
- [c12]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
2010 – 2019
- 2019
- [c11]Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley:
Federated Learning of N-Gram Language Models. CoNLL 2019: 121-130 - [i5]Mingqing Chen, Rajiv Mathews, Tom Ouyang, Françoise Beaufays:
Federated Learning Of Out-Of-Vocabulary Words. CoRR abs/1903.10635 (2019) - [i4]Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley:
Federated Learning of N-gram Language Models. CoRR abs/1910.03432 (2019) - [i3]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 abs/1911.06679 (2019) - 2017
- [c10]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: 633-644 - [c9]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: 338-346 - [c8]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: 498-506 - [c7]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: 507-515 - [i2]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 abs/1705.05998 (2017) - [i1]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 abs/1707.08037 (2017) - 2015
- [c6]Mingqing Chen, Hua Zhong, Yefeng Zheng, Gareth Funka-Lea:
Component-composition based heart isolation for 3D volume visualization of coronary arteries. ISBI 2015: 1300-1303 - 2013
- [j1]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): 1365-1375 (2013) - [c5]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: 90-97 - 2012
- [c4]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: 622-625 - [c3]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: 239-246 - 2011
- [c2]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: 61-72 - [c1]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: 471-478
Coauthor Index
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