Scholar
Kai Yu（俞凯）
Google Scholar ID: APssqUMAAAAJ
Shanghai Jiao Tong University
Citations & Impact
Citations
8,076
H-index
52
i10-index
188
Publications
20
Co-authors
51
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published over 200 peer-reviewed journal and conference papers
- Recipient of numerous best paper awards at top-tier conferences
- Served as Program Chair for Interspeech, ICMI, and SigDial
- General Chair of the National Conference on Man-machine Communication (China’s largest domestic speech conference)
- Area Chair for speech processing or dialogue systems at Interspeech, ACL, EMNLP, etc.
- AISpeech was listed in Goldman Sachs’ “AI Key Players” (2016) and named a “Cool Vendor in AI (East Asia)” by Gartner (2017)
Research Experience
- Worked as a Senior Research Associate at University of Cambridge after PhD (2006)
- Joined SJTU in 2012 and founded SpeechLab, later expanded into X-LANCE Lab
- Served on IEEE Speech and Language Processing Technical Committee (2017–2019)
- Associate Editor of IEEE/ACM Transactions on Audio, Speech, and Language Processing (2019–2024)
- Currently serves on IEEE Signal Processing Society Conferences Board and Membership Board
- Member of CCF Council and Director of CCF Technical Committee on Speech, Dialogue and Auditory Processing
- Leading the National AI Open Innovation Platform on Language Computing, funded by China’s Ministry of Science and Technology (2022)
Background
- Currently a Distinguished Professor and Director of the Machine Intelligence Institute, School of Computer Science, Shanghai Jiao Tong University (SJTU)
- Director of the Cross-media Language Intelligence (X-LANCE) Lab (formerly SpeechLab)
- Co-founder and Chief Scientist of AISpeech
- Fellow of ISCA, Senior Member of IEEE, and Distinguished Member of CCF (China Computer Federation)
- Research interests center on conversational AI, including speech and language processing and multi-modal linguistic computing
- Aims to build cognitive conversational agents capable of operating in complex real-world environments, handling uncertainty, delivering humanized responses, and evolving through environmental interaction
