Mingqiu Wang

According to our database, Mingqiu Wang authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Retrieval Augmented End-to-End Spoken Dialog Models.

Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey

CoRR, 2024

2023

Penalized M-Estimation Based on Standard Error Adjusted Adaptive Elastic-Net.

Xianjun Wu, Mingqiu Wang, Wenting Hu, Guo-Liang Tian, Tao Li

J. Syst. Sci. Complex., June, 2023

Optimal subsampling for least absolute relative error estimators with massive data.

Min Ren, Shengli Zhao, Mingqiu Wang

J. Complex., 2023

SLM: Bridge the thin gap between speech and text foundation models.

Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Yongqiang Wang, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Zhong Meng, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu

CoRR, 2023

Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding.

Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey

CoRR, 2023

MUX-PLMs: Pre-training Language Models with Data Multiplexing.

Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

AnyTOD: A Programmable Task-Oriented Dialog System.

Jeffrey Zhao, Yuan Cao, Raghav Gupta, Harrison Lee, Abhinav Rastogi, Mingqiu Wang, Hagen Soltau, Izhak Shafran, Yonghui Wu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MUX-PLMs: Data Multiplexing for High-throughput Language Models.

Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SLM: Bridge the Thin Gap Between Speech and Text Foundation Models.

Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Modified adaptive group lasso for high-dimensional varying coefficient models.

Mingqiu Wang, Xiaoning Kang, Guo-Liang Tian

Commun. Stat. Simul. Comput., 2022

Speech Aware Dialog System Technology Challenge (DSTC11).

Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda

CoRR, 2022

Transfer learning with high-dimensional quantile regression.

Jiayu Huang, Mingqiu Wang, Yuanshan Wu

CoRR, 2022

RNN Transducers for Nested Named Entity Recognition with constraints on alignment for long sequences.

Hagen Soltau, Izhak Shafran, Mingqiu Wang, Laurent El Shafey

CoRR, 2022

Description-Driven Task-Oriented Dialog Modeling.

Jeffrey Zhao, Raghav Gupta, Yuan Cao, Dian Yu, Mingqiu Wang, Harrison Lee, Abhinav Rastogi, Izhak Shafran, Yonghui Wu

CoRR, 2022

Unsupervised Slot Schema Induction for Task-oriented Dialog.

Dian Yu, Mingqiu Wang, Yuan Cao, Izhak Shafran, Laurent El Shafey, Hagen Soltau

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

RNN Transducers for Named Entity Recognition with constraints on alignment for understanding medical conversations.

Hagen Soltau, Izhak Shafran, Mingqiu Wang, Laurent El Shafey

Proceedings of the Interspeech 2022, 2022

Knowledge-grounded Dialog State Tracking.

Dian Yu, Mingqiu Wang, Yuan Cao, Laurent El Shafey, Izhak Shafran, Hagen Soltau

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Ensemble sparse estimation of covariance structure for exploring genetic disease data.

Xiaoning Kang, Mingqiu Wang

Comput. Stat. Data Anal., 2021

R2D2: Relational Text Decoding with Transformers.

Aryan Arbabi, Mingqiu Wang, Laurent El Shafey, Nan Du, Izhak Shafran

CoRR, 2021

Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information Extraction.

Hagen Soltau, Mingqiu Wang, Izhak Shafran, Laurent El Shafey

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Word-Level Confidence Estimation for RNN Transducers.

Mingqiu Wang, Hagen Soltau, Laurent El Shafey, Izhak Shafran

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Group selection via adjusted weighted least absolute deviation regression.

Xiuli Wang, Zhimiao Cao, Chao Liu, Mingqiu Wang

J. Comput. Appl. Math., 2020

The Medical Scribe: Corpus Development and Model Performance Analyses.

Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yuhui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin S. Paul

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Profile Statistical Inference for Partially Linear Additive Models with a Diverging Number of Parameters.

Xiuli Wang, Shengli Zhao, Mingqiu Wang

J. Syst. Sci. Complex., 2019

Learning to Infer Entities, Properties and their Relations from Clinical Conversations.

Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran

CoRR, 2019

Learning to Infer Entities, Properties and their Relations from Clinical Conversations.

Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2016

Quadratic Approximation via the SCAD Penalty with a Diverging Number of Parameters.

Mingqiu Wang, Lixin Song, Xiaoguang Wang

Commun. Stat. Simul. Comput., 2016

2014

A note on the one-step estimator for ultrahigh dimensionality.

Mingqiu Wang, Xiuli Wang, Xiaoguang Wang

J. Comput. Appl. Math., 2014