Yue Liu (Robin)

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I'm currently second year PhD student in Computer Science at Rensselaer Polytechnic Institute. My research interest includes Machine Learning, Linked data application, scientific/web data analysis and management and information extraction. I'm extremely interested in applying machine learning and natural language processing techniques to medical domain.

Prior to my PhD, I received my master's degree in Information Technology & Web Science at Rensselaer Polytechnic Institute and my undergraduate degree in Electronic Commerce from SISU, Shanghai, China. In spare time, I love to read books, traveling and a variety of sports.

If you are working with medical data and interested in collaboration, please feel free to contact me at: liuy30@rpi.edu

Yue Liu
Contact Info

Patton, E., Sheehan, J., Liu, Y., Makni, B., & McGuinness, D. (November 5, 2014). Towards Next Generation Integrative Mobile Semantic Health Information Assistants. In: Medical Device Day 2014
Luo, X., Pinheiro, P., Chastain, K., & Liu, Y. (October 1, 2014). Show and Tell-D1 AHM Semantics WG-Fall2014. In: DataONE All Hands Meeting Fall 2014
Seyed, P., Chastain, K., Ashby, B., Liu, Y., Lebo, T., Patton, E., & McGuinness, D. (December 9, 2013). Linking Disparate Datasets of the Earth Sciences with the SemantEco Annotator. In: AGU Fall Meeting 2013
Seyed, P., Chastain, K., Ashby, B., Liu, Y., Lebo, T., Patton, E., & McGuinness, D. (October 30, 2013). SemantEco Annotator for Linked Data Generation and Generalized Semantic Mapping. In: Taxonomic Databases Working Group Conference
Seyed, P., Chastain, K., Ashby, B., Liu, Y., Lebo, T., Patton, E., & McGuinness, D. (October 21, 2013). SemantEco Annotator Poster. In: ISWC 2013

Project Collaborator

CHEAR Project LogoChild Health Exposure Analysis Repository (CHEAR)
Principal Investigator: Deborah L. McGuinness
Description: Child Health Exposure Analysis Repository Data Science Semantics
SemantEco Annotator Project LogoSemantEco Annotator
Principal Investigator: Deborah L. McGuinness
Co Investigator: Patrice Seyed
Description: Generating useful RDF linked data is not a straightforward process for scientists using today's tools. In this project we introduce the SemantEco Annotator, a semantic web application that leverages community-based vocabularies and ontologies during the translation process itself to ease the process of drawing out implicit relationships in tabular data so that they may be immediately available for use within the LOD cloud. Our goal for the SemantEco Annotator is to make advanced RDF translation techniques available to the layperson.