Dawei Liang

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	All	Since 2019
Citations	130	129
h-index	4	4
i10-index	3	3

2019202020212022202320242 13 13 23 36 40

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Edison ThomazAssociate Professor, The University of Texas at AustinVerified email at utexas.edu
Rebecca Adaimi, PhDMachine Learning Data Scientist, ŌURAVerified email at utexas.edu
Wenting SongPhD student, University of Texas at Austin, Electrical and Computer EngineeringVerified email at utexas.edu
Mike SeltzerFacebookVerified email at fb.com
David HarwathThe University of Texas at AustinVerified email at utexas.edu
Radu MarculescuThe University of Texas at AustinVerified email at utexas.edu
Guihong LiUniversity of Texas at AustinVerified email at utexas.edu
Yangyang ShiMetaVerified email at fb.com
Ozlem KalinliFacebookVerified email at ieee.org
Alex XiaoFacebookVerified email at fb.com
Nayan SinghalFacebookVerified email at fb.com
Hang SuTech Lead Manager at Amazon Inc / AWSVerified email at amazon.com
Jay MahadeokarFacebook AIVerified email at fb.com
Zifan XuUniversity of Texas at AustinVerified email at utexas.edu
Yun Wang (Maigo)Research Scientist at FacebookVerified email at fb.com

Dawei Liang

Electrical and Computer Engineering, The University of Texas at Austin

Verified email at utexas.edu - Homepage

Ubiquitous computing Audio and speech processing Sensing Human-centered AI


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Audio-based activities of daily living (adl) recognition with large-scale acoustic embeddings from online videos D Liang, E Thomaz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019	88	2019
Characterizing the effect of audio degradation on privacy perception and inference performance in audio-based human activity recognition D Liang, W Song, E Thomaz 22nd International Conference on Human-Computer Interaction with Mobile …, 2020	19	2020
Audioimu: Enhancing inertial sensing-based activity recognition with acoustic models D Liang, G Li, R Adaimi, R Marculescu, E Thomaz Proceedings of the 2022 ACM International Symposium on Wearable Computers, 44-48, 2022	11	2022
Automated face-to-face conversation detection on a commodity smartwatch with acoustic sensing D Liang, A Zhang, E Thomaz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023	4	2023
Transferring voice knowledge for acoustic event detection: An empirical study D Liang, Y Shi, Y Wang, N Singhal, A Xiao, J Shaw, E Thomaz, O Kalinli, ... arXiv preprint arXiv:2110.03174, 2021	4	2021
Dynamic speech endpoint detection with regression targets D Liang, H Su, T Singh, J Mahadeokar, S Puri, J Zhu, E Thomaz, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023	2	2023
A Dataset for Foreground Speech Analysis With Smartwatches In Everyday Home Environments D Liang, Z Xu, Y Chen, R Adaimi, D Harwath, E Thomaz 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023	1	2023
Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach D Liang, Z Xu, Y Chen, R Adaimi, D Harwath, E Thomaz arXiv preprint arXiv:2203.11294, 2022	1	2022
Improving Audio Classification with Low-Sampled Microphone Input: An Empirical Study Using Model Self-Distillation D Liang, A Zhang, D Harwath, E Thomaz Proc. Interspeech 2024, 87-91, 2024		2024

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