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.
Dr. Xie is the recipient of multiple best paper awards from top computer science conferences on data mining and spatial computing*, including:
- Best Paper Award, IEEE International Conference on Data Mining (ICDM) 2021
- Best Paper Award, SSTD'19
- Best Vision Paper Award, ACM SIGSPATIAL'19. Highlighted by the Great Innovative Ideas program at the Computing Community Consortium (part of the Computing Research Association)
*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
Degree TypePhDDegree DetailsComputer Science, University of Minnesota -- Twin Cities
ProfessionalProgram committee, ACM SIGSPATIAL
ProfessionalProgram Committee, ACM SIGKDD
ProfessionalProgram committee, International Joint Conference on Artificial Intelligence (IJCAI)
ProfessionalProgram committee, AAAI Conference on Artificial Intelligence
ProfessionalACM SIGKDD Workshop on DeepSpatial
ProfessionalProgram committee, ACM SIGKDD Workshop on Urban Computing (UrbComp)
ProfessionalProgram committee, ACM SIGKDD Workshop on Fragile Earth (FEED)
ProfessionalACM SIGSPATIAL Workshop on GeoAI
ProfessionalCo-Chair, ACM SIGSPATIAL Workshop on SpatialAPI
ProfessionalSession Chair, IEEE ICDM Workshop on Spatial and Spatio-Temporal Data Mining (SSTDM)
ProfessionalProgram Committee, SIAM International Conference on Data Mining
- Weiye Chen
- Zhili Li