Xiaodong He

Xiaodong He

Affiliate Professor

Box 352500

Department of Electrical Engineering

University of Washington

Seattle, WA 98195


E-mail: xiaohe@u.washington.edu

Biosketch

Xiaodong He is an Affiliate Professor in the Department of Electrical Engineering at the University of Washington. He is also a Researcher in the Deep Learning Technology Center at Microsoft Research. He received the B.S. degree from Tsinghua University (Beijing) in 1996, M.S. degree from Chinese Academy of Sciences (Beijing) in 1999, and the Ph.D. degree from University of Missouri - Columbia in 2003. His research interests include speech recognition, spoken language understanding, machine translation, natural language processing, information retrieval, and machine learning. He has authored/co-authored more than 60 papers and one book in these areas. In benchmark evaluations, he and his colleagues have developed entries that obtained No. 1 place in the 2008 NIST MT Evaluation and the 2011 IWSLT Evaluation, both in Chinese-English translation, respectively. He has held editorial positions on several IEEE Journals, and has served in the organizing committee/program committe of major speech and language processing conferences. He serves as an area chair for NAACL 2015. He is an member of the IEEE SLTC for the term of 2015-2017. He is a senior member of IEEE and a member of ACL.

News

Gave a lecture at UW/EE Research Colloquium Series on the topic of Towards Deep Understanding: Deep Learning for Selected Natural Language Applications. (slides)

Amittai Axelrod graduated in August 2014. He is now with University of Maryland.

Students

PhD student

Amittai Axelrod, EE Dept., Domain Adaptation for Machine Translation.

Research interns

Bin Zhang, EE Dept., 2012. Statistical query relaxation models

Amittai Axelrod, EE Dept., 2010 & 2011. Domain adaptation for MT and Topic modeling for SLT

Mei Yang, EE Dept., 2007. System combination for machine translation

Xin Lei, EE Dept., 2005. Feature adaptation for speech recognition

(And students from other universities.)

More Info

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