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Xiaoli
Zhang
,
PhD
Research Engineer
Location: 
38A
/
10S1015G
Phone Number: (
301
) 
827-4778
E-mail: 
zhangxiaol@mail.nih.gov
Expertise and Research Interests: 

Dr. Xiaoli Zhang joined the Communications Engineering Branch of the Lister Hill National Center for Biomedical Communications at the National Library of Medicine in February 2008. She received an ME in Applied Mathematics and PhD in Electrical Engineering -- both from Rensselaer Polytechnic Institute in 2007. She earned a BE in Electrical Engineering from Hefei University of Technology, China, in 1993. Her research interests include pattern recognition, text mining, information retrieval, and document analysis and understanding.

Honors and Awards: 

2012 NLM Special Acts/Services Group Award

Publications/Tools by Xiaoli Zhang: 
Zhang X, Zou J, Le DX, Thoma GR. Combining Discriminative SVM models for the Improved Recognition of Investigator Names in Medical Articles. Proceedings of SPIE Volume 8658, Document Recognition and Retrieval XX, IS&T/SPIE Electronic Imaging 2013.
Abstract
Abstract
Zhang X, Zou J, Le DX, Thoma GR. A structural SVM approach for reference parsing. BMC Bioinformatics. 2011 Jun 9;12 Suppl 3:S7. doi: 10.1186/1471-2105-12-S3-S7.
Abstract | PMID:  21658294 | PMCID:  PMC3111593
Abstract
Zhang X, Zou J, Le DX, Thoma GR. Investigator Name Recognition From Medical Journal Articles: A Comparative Study of SVM and Structural SVM International Workshop on Document Analysis Systems. June 2010:121-8
Abstract | PDF
AbstractDownload
Zhang X, Zou J, Le DX, Thoma GR. A Stacked Sequential Learning Method For Investigator Name Recognition From Web-based Medical Articles 17th Document Recognition and Retrieval Conference (SPIE-DR&R). San Jose, CA. January 2010;7534:753404-7
Abstract | PDF
AbstractDownload
Zhang X, Zou J, Le DX, Thoma GR. A Semi-supervised Learning Method to Classify Grant Support Zone in Web-based Medical Articles Proc SPIE Electronic Imaging Science and Technology, Document Recognition and Retrieval. January 2009;7247:7247 OW(1-8)
Abstract
Abstract