Jinjin Guo 郭瑾瑾

Ph.D. Candidate

1         Education

  • PhD in Computer Science, University of Macau, China, Aug. 2015 – present
  • Visiting Student Researcher in Computer Science, University of Technology Sydney, Sydney, NSW, Australia, Dec. 2018 – Dec. 2019
  • E. in E-Commerce Technology, University of Macau, China, Sept. 2013 – Aug. 2015
  • E. in Computer Science and Technology, Tianjin University of Science & Technology, China, Sept. 2009 – Jun. 2013

2         Award

  • IJCAI travel grant, IJCAI conference, 2017
  • SIGIR travel grant, CIKM conference, 2016
  • Postgraduate Scholarship, University of Macau, 2013 – 2015
  • Outstanding Graduates, Tianjin University of Science & Technology, 2013
  • China National Encouragement Scholarship, Chinese Government, 2011 – 2013
  • National Scholarship, Chinese Government, 2010.

3         Research

3.1        Research Interests

  • Probabilistic graph models
  • Dynamic text mining
  • Deep learning

4         Publication

  1. Guo, Jinjin, and Zhiguo Gong. “A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data.” IJCAI. 2017.
  2. Guo, Jinjin, and Zhiguo Gong. “A nonparametric model for event discovery in the geospatial-temporal space.” CIKM. ACM, 2016.

5         Service

5.1        Journal Reviewer

JDSA: International Journal of Data Science and Analytics

5.2        Professional Affiliations

Member of IEEE, Member of ACM SIG