Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors. - Qi Song 001; Mingqing Chen; Junjie Bai; Milan Sonka; Xiaodong Wu 001 (IPMI, 2011)

Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. - Mingqing Chen; Yefeng Zheng 001; Kerstin Müller 002; Christopher Rohkohl; Guenter Lauritsch; Jan M. Boese; Gareth Funka-Lea; Joachim Hornegger; Dorin Comaniciu (MICCAI (3), 2011)

Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram. - Mingqing Chen; Yefeng Zheng 001; Kerstin Müller 002; Christopher Rohkohl; Guenter Lauritsch; Jan M. Boese; Dorin Comaniciu (ISBI, 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 001; R. Alfredo C. Siochi (MICCAI (1), 2012)

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 001; Yang Wang 001; Kerstin Müller 002; Guenter Lauritsch (MICCAI (3), 2013)

Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images. - Mingqing Chen; Kunlin Cao; Yefeng Zheng 001; R. Alfredo C. Siochi (IEEE Trans. Medical Imaging, 2013)

Component-composition based heart isolation for 3D volume visualization of coronary arteries. - Mingqing Chen; Hua Zhong 005; Yefeng Zheng 001; Gareth Funka-Lea (ISBI, 2015)

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. - Dong Yang 005; Tao Xiong; Daguang Xu; Qiangui Huang; David Liu 001; Shaohua Kevin Zhou; Zhoubing Xu; Jin Hyeong Park; Mingqing Chen; Trac D. Tran; Sang Peter Chin; Dimitris N. Metaxas; et al. (IPMI, 2017)

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. - Zhoubing Xu; Qiangui Huang; Jin Hyeong Park; Mingqing Chen; Daguang Xu; Dong Yang 005; David Liu 001; Shaohua Kevin Zhou (MICCAI (3), 2017)

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. - Dong Yang 005; 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 (MICCAI (3), 2017)

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. - Dong Yang 005; Daguang Xu; Shaohua Kevin Zhou; Bogdan Georgescu; Mingqing Chen; Sasa Grbic; Dimitris N. Metaxas; Dorin Comaniciu (MICCAI (3), 2017)

Federated Learning of N-Gram Language Models. - Mingqing Chen; Ananda Theertha Suresh; Rajiv Mathews; Adeline Wong; Cyril Allauzen; Françoise Beaufays; Michael Riley 001 (CoNLL, 2019)

Federated Learning Of Out-Of-Vocabulary Words. - Mingqing Chen; Rajiv Mathews; Tom Ouyang; Françoise Beaufays (CoRR, 2019)

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 (ICLR, 2020)

Communication-Efficient Agnostic Federated Averaging. - Jae Ro; Mingqing Chen; Rajiv Mathews; Mehryar Mohri; Ananda Theertha Suresh (Interspeech, 2021)

Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. - Hao Zhang 010; You-Chi Cheng; Shankar Kumar; Mingqing Chen; Rajiv Mathews (CoRR, 2021)

Efficient and Private Federated Learning with Partially Trainable Networks. - Hakim Sidahmed; Zheng Xu 002; Ankush Garg; Yuan Cao; Mingqing Chen (CoRR, 2021)

Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. - Hao Zhang 010; You-Chi Cheng; Shankar Kumar; W. Ronny Huang; Mingqing Chen; Rajiv Mathews (ICASSP, 2022)

Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. - Chen Zhu 001; Zheng Xu 002; Mingqing Chen; Jakub Konecný; Andrew Hard; Tom Goldstein (ICLR, 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 (INTERSPEECH, 2022)

A posteriori error estimation for a C1 virtual element method of Kirchhoff plates. - Mingqing Chen; Jianguo Huang; Sen Lin 005 (Comput. Math. Appl., 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)

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 028; Khe Chai Sim (CoRR, 2022)

A double-parameter robust lower order mixed element method for a strain gradient elastic model. - Mingqing Chen; Jianguo Huang; Xuehai Huang (CoRR, 2022)

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 (ASRU, 2023)

Online Model Compression for Federated Learning with Large Models. - Tien-Ju Yang; Yonghui Xiao; Giovanni Motta; Françoise Beaufays; Rajiv Mathews; Mingqing Chen (ICASSP, 2023)

The Effect of Big Data Capability and Market-Oriented Knowledge Integration on Product Speed-to-Market. - Mingqing Chen (J. Inf. Knowl. Manag., 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., 2023)

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 (ICASSP, 2024)

A robust C0 interior penalty method for a gradient-elastic Kirchhoff plate model. - Mingqing Chen; Jianguo Huang; Xuehai Huang (CoRR, 2024)

A Nonconforming Finite Element Method with the Use of Nitsche's Technique for a Strain Gradient Elastic Model. - Mingqing Chen; Jianguo Huang; Xuehai Huang (J. Sci. Comput., 2025)