Yiqun Xie

PhD candidate
Computer Science and Engineering
University of Minnesota, Twin Cities
Email: xiexx347 at

Advisor: Dr. Shashi Shekhar

I am currently a PhD candidate in Computer Science at the University of Minnesota, Twin-Cities.

  • Our paper has been accepted by IEEE International Conference on Data Mining (ICDM'18)!
  • Our paper has been accepted by ACM SIGSPATIAL 2018!
  • Our paper has been accepted by IEEE International Smart Cities Conference (ISC2'18)!
Broad Research Fields
  • Machine Learning, Artificial Intelligence, Data Science, Data Mining
  • Optimization
  • Spatial Computing
Major projects (details in Research page):
  • Individual tree inventory generation using remote sensing datasets in complex urban environments
    • Societal motivation: EAB invasion has caused millions of Ash tree deaths and is estimated to cost over 10 billion US dollars.
    • Hardness: Known as one of the most difficult problems in remote sensing (satellite view).
    • Supported by: National Science Foundation's grant on smart cities.
  • Optimization with spatial contiguity constraints
    • Societal motivation: Huge demands on food production (population projected to reach 9 billion by 2050) vs. consequent severe water quality issues (e.g., Dead Zone in the Gulf of Mexico).
    • Hardness: APX-hard (subsumes NP-hard) by our proof.
Teaching experience: Graduate level machine learning and data science courses.