Hui Yang

Dr. Yang
Associate Professor
Graduate Coordinator/Adviser
Data Mining, Text Mining and Information Extraction with a Current Focus in Biomedical Application, Protein Structure Analysis

Contact Information

Phone: 
(415) 338-2221

Office Information: 

Building: 
Thornton Hall
Room Number: 
966
Office Hours: 
Tuesday: 15:30-16:50
Thursday: 13:00-13:30
or by Appointment
Advising Hours: 
Tuesday: 12:30-13:00
Thursday: 12:30-13:00
by Appointment only

Recent Projects

Publications:

  1. A Systematic study of eleven feature selection algorithms and their impact on the text classification task, Suchi Vora** and Hui Yang. IEEE Computing Conference 2017, July 18-20, 2017, London.
  2. Two Simple and Effective Ensemble Classifiers for Twitter Sentiment Analysis.  Yeqing Yan**, Hui Yang, and Hui-ming Wang. IEEE Computing Conference 2017, July 18-20, 2017, London.
  3. A Multifaceted Data Mining Approach to Understanding What Factors Lead College Students to Persist and Graduate, Aparna Gopalakrishnan**, Hui Yang, Celia Graterol, Rama Kassed, Mary Beth Love, and Alycia Shada. IEEE Computing Conference 2017, July 18-20, 2017, London.
  4. "Structuring unstructured clinical narratives in OpenMRS with medical concept extraction," Ryan M. Eshleman*, Hui Yang and Barry Levine. In the proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM2015) (industrial track). November 2015, Washington DC.

Awards:

  1. GE Predix Challenge Grant, $10,000, 2017
  2. Collaborative research project with IBM Almaden on annotating and extracting entities and relationships in biomedical articles. January 2013-February 2014. Budget: $20,000. 
  3. Collaborative research project with Genentech on curating bio-entities and software testing and quality assessment. October 2011—June 2012. Budget: $10,000.

Website:

Dr. Yang Website