Xiaodong Cui

I am a principal research scientist in the speech department of the IBM T. J. Watson Research Center.  My research interests include automatic speech recognition, multi-lingual speech-to-speech translation, digital speech processing, statistical signal processing, machine learning and pattern recognition. Most recently, I have been working on deep learning in speech applications.

I received my B.S. degree from Shanghai Jiao Tong University, Shanghai, China, M.S. degree from Tsinghua University, Beijing, China, and Ph.D degree from University of California, Los Angeles, all in electrical engineering. 

Projects

• Granite speech: IBM open-source speech-aware large language models
• High performance deep neural network acoustic modeling
• Distributed acoustic modeling for automatic speech recognition
• Fast and accurate speech recognition for customer care
• E2E Learning for Speech Recognition and Synthesis
• Unsupervised Learning Techniques for Large Unlabeled Data for Speech
• IARPA Babel project for spoken term detection
• DARPA Transtac project for multi-lingual speech-to-speech translation

Adjunct Professor,  Department of Electrical Engineering, Columbia University

•  EECS6894, Deep Learning for Computer Vision, Speech and Language, Spring 2017
•  EECS6894, Deep Learning for Computer Vision, Speech and Language, Fall 2018

Professional Services

• Senior Area Editor, IEEE Transactions on Audio, Speech and Language Processing  (2025-present)
• Associate Editor, IEEE Signal Processing Letters  (2021 - 2025)
• Associate Editor, IEEE/ACM Transactions on Audio, Speech and Language Processing  (2016 - 2020)
• Member of IEEE Speech and Language Technical Committee (SLTC) (2018 - 2024)
• Technical Program Chair, IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) 2025.
• Co-technical chair of IEEE Workshop on Spoken Language Technology (SLT) 2021.
• Area Chair of NeurIPS (2020-present), ICLR (2021-present), ICML (2025-present).