Mingqing Chen - RankMe

43 papers A* 2A 2B 1C 1Misc 3Journal 24Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Robust C J. Sci. Comput. Mingqing Chen, Jianguo Huang, Xuehai Huang
2026	J	`jnl`	Steering LLMs for Culturally Localized Generation. CoRR Simran Khanuja, Hongbin Liu, Shujian Zhang, John Lambert, Mingqing Chen, Rajiv Mathews, Lun Wang
2025	J	`jnl`	A Nonconforming Finite Element Method with the Use of Nitsche's Technique for a Strain Gradient Elastic Model. J. Sci. Comput. Mingqing Chen, Jianguo Huang, Xuehai Huang
2025	J	`jnl`	Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process. CoRR Zhenyu Zhang, Shujian Zhang, John Lambert, Wenxuan Zhou, Zhangyang Wang, Mingqing Chen, Andrew Hard, Rajiv Mathews, Lun Wang
2024	J	`jnl`	A robust C CoRR Mingqing Chen, Jianguo Huang, Xuehai Huang
2024	Misc	`conf`	FedAQT: Accurate Quantized Training with Federated Learning. ICASSP Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews
2023	J	`jnl`	A Robust Lower-Order Mixed Finite Element Method for a Strain Gradient Elastic Model. SIAM J. Numer. Anal. Mingqing Chen, Jianguo Huang, Xuehai Huang
2023	Misc	`conf`	Online Model Compression for Federated Learning with Large Models. ICASSP Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
2023	J	`jnl`	The Effect of Big Data Capability and Market-Oriented Knowledge Integration on Product Speed-to-Market. J. Inf. Knowl. Manag. Mingqing Chen
2023	C	`conf`	The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. ASRU Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
2023	J	`jnl`	The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning. CoRR Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
2022	J	`jnl`	A double-parameter robust lower order mixed element method for a strain gradient elastic model. CoRR Mingqing Chen, Jianguo Huang, Xuehai Huang
2022	J	`jnl`	A posteriori error estimation for a Comput. Math. Appl. Mingqing Chen, Jianguo Huang, Sen Lin
2022	Misc	`conf`	Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. ICASSP Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
2022	J	`jnl`	Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. CoRR Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
2022	A*	`conf`	Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. ICLR Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konecný, Andrew Hard, Tom Goldstein
2022	J	`jnl`	Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning. CoRR Sandy Ritchie, You-Chi Cheng, Mingqing Chen, Rajiv Mathews, Daan van Esch, Bo Li, Khe Chai Sim
2022	J	`jnl`	Online Model Compression for Federated Learning with Large Models. CoRR Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
2022	J	`jnl`	Scaling Language Model Size in Cross-Device Federated Learning. CoRR Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews
2022	A	`conf`	UserLibri: A Dataset for ASR Personalization Using Only Text. INTERSPEECH Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
2022	J	`jnl`	UserLibri: A Dataset for ASR Personalization Using Only Text. CoRR Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
2021	A	`conf`	Communication-Efficient Agnostic Federated Averaging. Interspeech Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
2021	J	`jnl`	Communication-Efficient Agnostic Federated Averaging. CoRR Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
2021	J	`jnl`	Efficient and Private Federated Learning with Partially Trainable Networks. CoRR Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen
2021	J	`jnl`	Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. CoRR Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews
2020	A*	`conf`	Generative Models for Effective ML on Private, Decentralized Datasets. ICLR Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas
2019	J	`jnl`	Federated Learning Of Out-Of-Vocabulary Words. CoRR Mingqing Chen, Rajiv Mathews, Tom Ouyang, Françoise Beaufays
2019	B	`conf`	Federated Learning of N-Gram Language Models. CoNLL Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley
2019	J	`jnl`	Federated Learning of N-gram Language Models. CoRR Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley
2019	J	`jnl`	Generative Models for Effective ML on Private, Decentralized Datasets. CoRR Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas
2017	—	`conf`	Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. MICCAI (3) Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu
2017	J	`jnl`	Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. CoRR Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu
2017	—	`conf`	Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. IPMI 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
2017	J	`jnl`	Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. CoRR 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
2017	—	`conf`	Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. MICCAI (3) 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	—	`conf`	Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. MICCAI (3) Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou
2015	—	`conf`	Component-composition based heart isolation for 3D volume visualization of coronary arteries. ISBI Mingqing Chen, Hua Zhong, Yefeng Zheng, Gareth Funka-Lea
2013	—	`conf`	Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector. MICCAI (3) Mingqing Chen, Yefeng Zheng, Yang Wang, Kerstin Müller, Guenter Lauritsch
2013	J	`jnl`	Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images. IEEE Trans. Medical Imaging Mingqing Chen, Kunlin Cao, Yefeng Zheng, R. Alfredo C. Siochi
2012	—	`conf`	3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search. MICCAI (1) Mingqing Chen, Junjie Bai, Yefeng Zheng, R. Alfredo C. Siochi
2012	—	`conf`	Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram. ISBI Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Dorin Comaniciu
2011	—	`conf`	Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. MICCAI (3) Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu
2011	—	`conf`	Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors. IPMI Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, Xiaodong Wu