Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
Xiaodong He

Xiaodong He
RESEARCHER
.

Background and Interests

Xiaodong He is a Researcher in the Deep Learning Technology Center of Microsoft Research, Redmond, WA, USA. He is also an Affiliate Professor in the Department of Electrical Engineering at the University of Washington (Seattle) serving in the PhD reading committee. His research interests include deep learning, information retrieval, spoken language understanding, machine translation, natural language processing, speech recognition and translation. He has published extensively in these areas. He and his colleagues also developed the MSR-NRC-SRI entry and the MSR entry which obtained No. 1 place in the 2008 NIST MT Evaluation and No. 1 place in the 2011 IWSLT Evaluation, all in Chinese-English translation, respectively.

Recently, his research focus is on Deep Learning for Text/Semantic Processing. Relevant studies are summarized in his recent tutorials at ICASSP 2014 and CIKM 2014. More details can be found at the DSSM toolkit site (MS internal access only).

He has held editorial positions on several IEEE Journals, and has served in the organizing committee/program committee of major speech and language processing conferences. He is a senior member of IEEE and a member of ACL.

He received the BS degree from Tsinghua University (Beijing) in 1996, MS degree from Chinese Academy of Sciences (Beijing) in 1999, and the PhD degree from the University of Missouri - Columbia in 2003.

Contact

E-mail: xiaohe@microsoft.com
Post-Mail: One Microsoft Way, Redmond WA, 98052-6399, USA
Tel: (425) 706-4939
Fax: (425) 706-7329 (to Xiaodong He's attention)

News and Events

Recent Work on Deep Learning

Tutorials

Xiaodong He, Jianfeng Gao, and Li Deng, Deep learning for natural language processing and related applications (Tutorial), IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014

Bowen Zhou and Xiaodong He, Speech Translation: Theory and Practices (Tutorial), IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013

Academic Services

  • Member of the IEEE Speech and Language Processing Technical Committee 2015-2017
  • Area Chair, Spoken Language Processing, NAACL 2015
  • Associate Editor, IEEE Signal Processing Letters since 2014
  • Member of the Organizing Committee, Chair of Special Sessions, IEEE ICASSP 2013
  • Associate Editor, IEEE Signal Processing Magazine since 2012
  • Guest Editor, Special Issue on Continuous-space and related methods in natural language processing, in IEEE Transactions on Audio, Speech, and Language Processing, 2014
  • Guest Editor, Special Issue on Large-Scale Optimization for Audio, Speech, and Language Processing, in IEEE Transactions on Audio, Speech, and Language Processing, 2013
  • Lead Guest Editor, Special Issue on Statistical Learning Methods for Speech and Language Processing, in IEEE Journal of Selected Topics in Signal Processing, 2010
  • Co-Chair, NIPS 2008 Workshop on Speech and Language: Learning-Based Methods and Systems, Whistler, BC, Canada, 2008
  • Grant Reviewer: Swiss National Science Foundation
  • Program Committee Member: ACL, NAACL, EMNLP, COLING, AAAI
  • Reviewer: IEEE Transactions on Speech and Audio Processing, Proceedings of the IEEE, IEEE Signal Processing Magazine, IEEE Signal Processing Letters, IEEE Transactions on Computer, Speech Communication, Pattern Recognition, Pattern Recognition Letters, ICASSP, Interspeech, NIPS

Honors and Awards

  • No. 1 Place, Chinese to English MT track, 2011 IWSLT Evaluation
  • No. 1 Place, Chinese to English common data track, 2008 NIST MT Evaluation
  • ICASSP 2011 Best Student Paper Award (co-author)
  • IEEE senior member since 2008
  • Microsoft Gold Star Award, 2005
  • Microsoft Patent awards, 2005-2014
  • Microsoft Technology Transfer Award, 2009, 2014

Special Issues

The Special Issue on Continuous-space and related methods in natural language processing is scheduled to be published in the IEEE Transactions on Audio, Speech, and Language Processing in early 2015.

The Special Issue on Large-Scale Optimization for Audio, Speech, and Language Processing was published in the IEEE Transactions on Audio, Speech, and Language Processing in November, 2013.

The Special Issue on Statistical Learning Methods for Speech and Language Processing was published in the IEEE Journal of Selected Topics in Signal Processing in December, 2010.

NIPS 2008 Workshop

The NIPS 2008 workshop on Speech and Language: Learning-based Methods and Systems covers a variety of advanced topics in the Speech and Language Processing area. More details can be found at the workshop's homepage NIPS08 WSL(a)

Book

Xiaodong He and Li Deng, 2008. Discriminative Learning for Speech Recognition: Theory and Practice, Morgan & Claypool Publishers, 2008. ISBN: 1598293087 (order from Amazon.com)

Publications

    2014

    2013

    2012

    2011

    2010

    2009

    2008

    2007

    2006

    2004

    2003

    2002

    2001

    2000

    1999