Entrainment in Multi-Party Spoken Dialogues at Multiple Linguistic Levels. - Zahra Rahimi; Anish Kumar; Diane J. Litman; Susannah Paletz; Mingzhi Yu (INTERSPEECH, 2017)

A Two-Axis MEMS Piezoresistive In-Plane Accelerometer with Pure Axially Deformed Microbeams. - Mingzhi Yu; Libo Zhao 001; Weile Jiang; Chen Jia; Zhikang Li; Yulong Zhao; Zhuangde Jiang (IEEE SENSORS, 2018)

Block Chain based Intelligent Industrial Network (DSDIN). - Barco You; Matthias Hub; Mengzhe You; Bo Xu; Mingzhi Yu; Ivan Uemlianin (CoRR, 2018)

Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics and the Perception of Team Social Outcomes. - Mingzhi Yu; Diane J. Litman; Susannah Paletz (FLAIRS, 2019)

Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue. - Mingzhi Yu; Emer Gilmartin; Diane J. Litman (INTERSPEECH, 2019)

A High-g Triaxial Piezoresistive Accelerometer with Sensing Beams in Pure Axial Deformation. - Mingzhi Yu; Libo Zhao 001; Chen Jia; Hongyan Wang; Yulong Zhao; Zhuangde Jiang (NEMS, 2019)

Multilingual Grapheme-To-Phoneme Conversion with Byte Representation. - Mingzhi Yu; Hieu Duy Nguyen; Alex Sokolov; Jack Lepird; Kanthashree Mysore Sathyendra; Samridhi Choudhary; Athanasios Mouchtaris; Siegfried Kunzmann (ICASSP, 2020)

Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT. - Mingzhi Yu; Diane J. Litman (FLAIRS, 2021)

Micro-fabricated alkali vapor cells for atomic spin gyroscope study. - Yao Chen; Mingzhi Yu; Yintao Ma; Guoxi Luo; Zhuangde Jiang; Yu Bai; Libo Zhao 001 (NEMS, 2021)

A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations. - Mingzhi Yu; Diane J. Litman; Shuang Ma; Jian Wu (CoRR, 2021)

It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner. - Christina Steele; Nikki G. Lobczowski; Teresa Davison; Mingzhi Yu; Michael S. Diamond; Adriana Kovashka; Diane J. Litman; Timothy Nokes-Malach; Erin Walker (AIED (2), 2022)

Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions. - Tristan Maidment; Mingzhi Yu; Nikki G. Lobczowski; Adriana Kovashka; Erin Walker; Diane J. Litman; Timothy Nokes-Malach (EDM, 2022)

Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. - Yuya Asano; Diane J. Litman; Mingzhi Yu; Nikki G. Lobczowski; Timothy Nokes-Malach; Adriana Kovashka; Erin Walker (SIGDIAL, 2022)

Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. - Yuya Asano; Diane J. Litman; Mingzhi Yu; Nikki G. Lobczowski; Timothy Nokes-Malach; Adriana Kovashka; Erin Walker (AIED (Posters/Late Breaking Results/...), 2023)

Development of a High-Performance Microaccelerometer With Position Independent Pure-Axial Stressed Piezoresistive Beams. - Mingzhi Yu; Libo Zhao 001; Xiangguang Han; Chen Jia; Yong Xia; Ping Yang; Yun Zhang; Junjie Sun; Guangzhao Qin; Zhuangde Jiang (IEEE Trans. Ind. Electron., 2023)

ConEC: Earnings Call Dataset with Real-world Contexts for Benchmarking Contextual Speech Recognition. - Ruizhe Huang; Mahsa Yarmohammadi; Jan Trmal; Jing Liu; Desh Raj; Leibny Paola García; Alexei V. Ivanov; Patrick Ehlen; Mingzhi Yu; Dan Povey; Sanjeev Khudanpur (LREC/COLING, 2024)