Dr. Dong Yu has concentrated his research on speech recognition and processing, as well as natural language processing in recent years. He has two monographs and over 300 papers to his credit. His work has been widely cited, and he has received the prestigious IEEE Signal Processing Society best paper award in 2013, 2016, 2020, and 2022, the 2021 NAACL best long paper award, the 2022 IEEE Signal Processing Magazine best paper award, and the 2022 IEEE Signal Processing Magazine best column award. He was a forerunner in the use of deep learning techniques in automatic speech recognition.

Dr. Dong Yu is currently serving as the chair of the IEEE Speech and Language Processing Technical Committee (SLPTC). He has served as a member of the IEEE SLPTC (2013-2018, two terms), a distinguished lecturer of APSIPA (2017-2018), an associate editor of the IEEE/ACM transactions on audio, speech, and language processing (TASLP) (2011-2015), an associate editor of the IEEE signal processing magazine (2008-2011), an associate editor of the ACM transactions on Asian and low resource language information processing (2017-2019), the lead guest editor of the IEEE TASLP - special issue on deep learning for speech and language processing (2010-2011), a guest editor of the IEEE/CAA journal of automatica sinica - special issue on deep learning in audio, image, and text processing (2015-2016), and members of the organization and technical committees of many conferences and workshops, including technical co-chair of ICASSP 2021.