Zhiyong Lu, Ph.D.

Earl Stadtman Investigator
 National Center for Biotechnology Information (NCBI)
National Library of Medicine (NLM)
National Institutes of Health (NIH)

Tel: 301-594-7089
Email: zhiyong.lu@nih.gov
US Mail: NCBI/NLM/NIH
8600 Rockville Pike
Building 38A, Room 1003A
Bethesda, MD, 20894

Short biography
Dr. Lu is a principal investigator at the National Institutes of Health, where he joined after earning a PhD in Biomedical Informatics. His current research is focused on the development and application of text and data mining techniques in the biomedical domain. His research team addresses the problems of helping researchers find the specific publications that are relevant to their work, and having found those documents, then making that (sometimes very large) body of text manageable for them. Some of his recent research has been successfully applied to PubMed and other NCBI databases as new and popular search features. Click below for more details:

In his earlier work, he has also published on matters related to automatic GeneRIF curation and protein subcellular localization prediction.

Selected recent publications
  • Huang et al., Recommending MeSH terms for annotating biomedical articles, JAMIA, 2011. Free Access
  • Lu and Wilbur, The Gene Normalization task in BioCreative III, BioCreative III, 2011. Free Access
  • Dogan and Lu, Click-words: learning to predict documents keywords from a user perspective, Bioinformatics 2010. Free Access
  • Dogan et al., Understanding PubMed user search behavior through log analysis, Database, 2009. Free Access
  • Lu et al., Evaluating Relevance Ranking Strategies for MEDLINE Retrieval, J Am Med Inform Assoc. 2009. Free Access
  • Baumgartner et al., Concept recognition for extracting protein interaction relations from biomedical text, Genome Biology, 2008. Free Access
  • Lu et al., GeneRIF Quality Assurance As Summary Revision, Pacific Symposium on Biocomputing, 2007 Free Access
  • Lu et al., Finding GeneRIFs via GO Annotations, Pacific Symposium on Biocomputing, 2006 Free Access
  • Lu et al., Predicting Sub-cellular Localization of Proteins using Machine-Learned Classifiers, Bioinformatics 2004. Free Access
Group members