Xie, Yiqun

Bio

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, and affiliate faculty at the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM) 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 artificial intelligence for spatial data. 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, and more. His group's research has been funded by NSF, NASA, Google, 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 Application Paper Award, SIAM International Conference on Data Mining (SDM) 2023
• 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)

Professional services include Guest Editors for International Journal of Geographical Information Science, International Journal of Applied Earth Observation and Geoinformation, etc., and members of the Organizing Committee for IEEE International Conference on Big Data 2024, IEEE International Conference on Data Mining 2025, and ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2025. He also serves as Senior Program Committee members and Technical Program Committee members for AAAI, IJCAI, KDD, ICDM, SDM, etc., and reviewers for journals including Proceedings of the National Academy of Sciences, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology, Remote Sensing of Environment, etc.

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

*In empirical computing research, premier conferences are preferred and more selective than premier journals (More info: National Academies Press, CRA Statement).