Please refer to my website for most up-to-date information: http://www.terpconnect.umd.edu/~xie/

Yiqun Xie is an Assistant Professor of Geospatial Information Science at the University of Maryland, College Park. He received his PhD degree in Computer Science from the University of Minnesota, Twin Cities in 2020.

Dr. Xie's broad research area is on spatial data science and artificial intelligence (a.k.a. GeoAI). One size AI does not fit all. Direct applications of traditional AI techniques on spatial data and problems often fall short due to  key challenges including spatial heterogeneity, limited training data, etc. Dr. Xie's work investigates novel techniques and theoretical insights to bridge these gaps in applications such as smart cities, agriculture, Earth observation, transportation, etc.

His group's research has been funded as the PI by NSF (IIS-2105133, 2126474), Google (AI for Social Good), and the University of Maryland (DRI seed grant); and as Co-I by NASA (LCLUC).

Dr. Xie is the recipient of multiple best paper awards from top computer science conferences on data mining and spatial computing*, including:

*In computing research, computer science conferences are considered as important as journals: Full length, highly selective (e.g., 10%-20% acceptance rate) and high impact (More info: National Academies Press).

Professional services include Technical Program Committee members for conferences including ACM SIGKDD, ACM SIGSPATIAL, AAAI, IJCAI and SDM; Co-Chair of SpatialAPI Workshop at ACM SIGSPATIAL 2021, and Session Chair at the Spatial and Spatio-Temporal Data Mining(SSTDM) Workshop in IEEE ICDM 2018; reviewers for technical journals (e.g., ACM Transactions on Intelligent Systems and Technology; ACM Transactions on Data Science), and interdisciplinary journals (e.g., Remote Sensing of Environment, IJGIS).

Students who are interested in joining Dr. Xie's research team please email a resume to: xie [at] umd.edu

 

 

 

 

Areas of Interest

  • Spatial data science (e.g., data mining, machine learning, optimization)
  • Artificial intelligence
  • Computational techniques
  • Smart cities, transportation, agriculture, public health, biodiversity

Degrees

  • Degree Type
    PhD
    Degree Details
    Computer Science, University of Minnesota -- Twin Cities
  • Professional
    Program committee, ACM SIGSPATIAL
  • Professional
    Program Committee, ACM SIGKDD
  • Professional
    Program committee, International Joint Conference on Artificial Intelligence (IJCAI)
  • Professional
    Program committee, AAAI Conference on Artificial Intelligence
  • Professional
    ACM SIGKDD Workshop on DeepSpatial
  • Professional
    Program committee, ACM SIGKDD Workshop on Urban Computing (UrbComp)
  • Professional
    Program committee, ACM SIGKDD Workshop on Fragile Earth (FEED)
  • Professional
    ACM SIGSPATIAL Workshop on GeoAI
  • Professional
    Co-Chair, ACM SIGSPATIAL Workshop on SpatialAPI
  • Professional
    Session Chair, IEEE ICDM Workshop on Spatial and Spatio-Temporal Data Mining (SSTDM)
  • Professional
    Program Committee, SIAM International Conference on Data Mining

Current Students

Former Students

Related Students (Listed by Student on Student's Profile)

  • Weiye Chen
  • Zhili Li
Xie
4600 River Road, Suite 329 (send mail to 2181 LeFrak)
Department of Geographical Sciences
Email
xie [at] umd.edu