Xiaodong He (何晓冬) is a Senior 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 committees. His research interests are mainly in the machine intelligence areas including deep learning, natural language, vision, speech, information retrieval, and knowledge representation.
He has published in ACL, EMNLP, NAACL, CVPR, SIGIR, WWW, CIKM, NIPS, ICLR, ICASSP, Proc. IEEE, IEEE TASLP, IEEE SPM, and other venues. He has received several awards including the Outstanding Paper Award of ACL 2015. He and colleagues developed the MSR-NRC-SRI entry and the MSR entry that won No. 1 in the 2008 NIST Machine Translation Evaluation and the 2011 IWSLT Evaluation (Chinese-to-English), respectively, and the MSR image captioning system that won the 1st Prize at the MS COCO Captioning Challenge 2015. His work on image captioning was reported in Communications of the ACM in January 2016.
His current research is mostly focused on Deep learning for semantics and applications to text, vision, information retrieval, and knowledge graph. Relevant studies are summarized in the recent tutorial at CIKM 2014. More details at the DSSM site (and the DSSM toolkit download).
He has held editorial positions on several IEEE Journals, served as an area chair for NAACL-HLT 2015, and served in the organizing committee/program committee of major speech and language processing conferences. He is an elected member of the IEEE SLTC for the term of 2015-2017. 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.