Mingqing Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
6
Active years
2011–2024
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICASSP | FedAQT: Accurate Quantized Training with Federated Learning. | Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio Lpez-Moreno, Mingqing Chen, Rajiv Mathews |
| 2023 | ASRU | 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 |
| 2023 | ICASSP | Online Model Compression for Federated Learning with Large Models. | Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Franoise Beaufays, Rajiv Mathews, Mingqing Chen |
| 2022 | ICASSP | 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 |
| 2022 | ICLR | Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. | Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konecn, Andrew Hard, Tom Goldstein |
| 2022 | Interspeech | 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 |
| 2021 | Interspeech | Communication-Efficient Agnostic Federated Averaging. | Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh |
| 2020 | ICLR | 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 Agera y Arcas |
| 2019 | CoNLL | Federated Learning of N-Gram Language Models. | Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Franoise Beaufays, Michael Riley |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | 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 |
| 2013 | MICCAI | 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 Mller, Guenter Lauritsch |
| 2012 | MICCAI | 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 |
| 2011 | MICCAI | Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. | Mingqing Chen, Yefeng Zheng, Kerstin Mller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu |