A note on the one-step estimator for ultrahigh dimensionality. - Mingqiu Wang; Xiuli Wang; Xiaoguang Wang 006 (J. Comput. Appl. Math., 2014)

Quadratic Approximation via the SCAD Penalty with a Diverging Number of Parameters. - Mingqiu Wang; Lixin Song; Xiaoguang Wang 006 (Commun. Stat. Simul. Comput., 2016)

Learning to Infer Entities, Properties and their Relations from Clinical Conversations. - Nan Du 002; Mingqiu Wang; Linh Tran; Gang Lee; Izhak Shafran (EMNLP/IJCNLP (1), 2019)

Learning to Infer Entities, Properties and their Relations from Clinical Conversations. - Nan Du 002; Mingqiu Wang; Linh Tran; Gang Li; Izhak Shafran (CoRR, 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)

The Medical Scribe: Corpus Development and Model Performance Analyses. - Izhak Shafran; Nan Du 002; Linh Tran; Amanda Perry; Lauren Keyes; Mark Knichel; Ashley Domin; Lei Huang; Yuhui Chen; Gang Li; Mingqiu Wang; Laurent El Shafey; et al. (LREC, 2020)

Group selection via adjusted weighted least absolute deviation regression. - Xiuli Wang; Zhimiao Cao; Chao Liu; Mingqiu Wang (J. Comput. Appl. Math., 2020)

Word-Level Confidence Estimation for RNN Transducers. - Mingqiu Wang; Hagen Soltau; Laurent El Shafey; Izhak Shafran (ASRU, 2021)

Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information Extraction. - Hagen Soltau; Mingqiu Wang; Izhak Shafran; Laurent El Shafey (Interspeech, 2021)

R2D2: Relational Text Decoding with Transformers. - Aryan Arbabi; Mingqiu Wang; Laurent El Shafey; Nan Du 002; Izhak Shafran (CoRR, 2021)

Ensemble sparse estimation of covariance structure for exploring genetic disease data. - Xiaoning Kang; Mingqiu Wang (Comput. Stat. Data Anal., 2021)

Knowledge-grounded Dialog State Tracking. - Dian Yu; Mingqiu Wang; Yuan Cao 007; Laurent El Shafey; Izhak Shafran; Hagen Soltau (EMNLP (Findings), 2022)

RNN Transducers for Named Entity Recognition with constraints on alignment for understanding medical conversations. - Hagen Soltau; Izhak Shafran; Mingqiu Wang; Laurent El Shafey (INTERSPEECH, 2022)

Unsupervised Slot Schema Induction for Task-oriented Dialog. - Dian Yu; Mingqiu Wang; Yuan Cao 007; Izhak Shafran; Laurent El Shafey; Hagen Soltau (NAACL-HLT, 2022)

Description-Driven Task-Oriented Dialog Modeling. - Jeffrey Zhao; Raghav Gupta; Yuan Cao 007; Dian Yu; Mingqiu Wang; Harrison Lee 001; Abhinav Rastogi; Izhak Shafran; Yonghui 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)

Transfer learning with high-dimensional quantile regression. - Jiayu Huang; Mingqiu Wang; Yuanshan Wu (CoRR, 2022)

Modified adaptive group lasso for high-dimensional varying coefficient models. - Mingqiu Wang; Xiaoning Kang; Guo-Liang Tian (Commun. Stat. Simul. Comput., 2022)

SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. - Mingqiu Wang; Wei Han 002; Izhak Shafran; Zelin Wu; Chung-Cheng Chiu; Yuan Cao 007; Nanxin Chen; Yu Zhang 033; Hagen Soltau; Paul K. Rubenstein; Lukas Zilka; Dian Yu; et al. (ASRU, 2023)

MUX-PLMs: Data Multiplexing for High-throughput Language Models. - Vishvak Murahari; Ameet Deshpande; Carlos E. Jimenez; Izhak Shafran; Mingqiu Wang; Yuan Cao 007; Karthik Narasimhan (EMNLP (Findings), 2023)

AnyTOD: A Programmable Task-Oriented Dialog System. - Jeffrey Zhao; Yuan Cao 007; Raghav Gupta; Harrison Lee 001; Abhinav Rastogi; Mingqiu Wang; Hagen Soltau; Izhak Shafran; Yonghui Wu (EMNLP, 2023)

Speech Aware Dialog System Technology Challenge (DSTC11). - Hagen Soltau; Izhak Shafran; Mingqiu Wang; Abhinav Rastogi; Jeffrey Zhao; Ye Jia; Wei Han 002; Yuan Cao 007; Aramys Miranda (INTERSPEECH, 2023)

MUX-PLMs: Pre-training Language Models with Data Multiplexing. - Vishvak Murahari; Ameet Deshpande; Carlos E. Jimenez; Izhak Shafran; Mingqiu Wang; Yuan Cao 007; Karthik Narasimhan (RepL4NLP@ACL, 2023)

Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding. - Mingqiu Wang; Izhak Shafran; Hagen Soltau; Wei Han 002; Yuan Cao 007; Dian Yu; Laurent El Shafey (CoRR, 2023)

SLM: Bridge the thin gap between speech and text foundation models. - Mingqiu Wang; Wei Han 002; Izhak Shafran; Zelin Wu; Chung-Cheng Chiu; Yuan Cao 007; Yongqiang Wang; Nanxin Chen; Yu Zhang 033; Hagen Soltau; Paul K. Rubenstein; Lukas Zilka; et al. (CoRR, 2023)

Optimal subsampling for least absolute relative error estimators with massive data. - Min Ren; Shengli Zhao; Mingqiu Wang (J. Complex., 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., 2023)

Retrieval Augmented End-to-End Spoken Dialog Models. - Mingqiu Wang; Izhak Shafran; Hagen Soltau; Wei Han 002; Yuan Cao 007; Dian Yu; Laurent El Shafey (ICASSP, 2024)

Knowledge Graph Reasoning with Self-supervised Reinforcement Learning. - Ying Ma; Owen Burns; Mingqiu Wang; Gang Li; Nan Du 002; Laurent El Shafey; Liqiang Wang; Izhak Shafran; Hagen Soltau (CoRR, 2024)

Subsampling for Big Data Linear Models with Measurement Errors. - Jiangshan Ju; Min-Qian Liu; Mingqiu Wang; Shengli Zhao (Stat. Comput., 2025)