profile

Yiqun Xie

Assistant Professor
Geospatial Information Science
University of Maryland, College Park

Ph.D in Computer Science
University of Minnesota, Twin Cities

Email: xie@umd.edu

CV: Xie_CV.pdf (11/2022)

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, advised by Dr. Shashi Shekhar. His broad research area is on spatial data science and artificial intelligence (a.k.a. Spatial-AI or GeoAI).

Students interested in joining Dr. Xie's team please send your resume to xie at umd dot edu. (Please feel free to follow up if you do not hear from me. It is likely you are on the waiting list for interview based on alignment with our research directions.)

⧫ News

  • [Paper] 2023/02: One paper accepted by Knowledge and Information Systems (KAIS)!
  • [Award] 2023/01: Received Faculty-Student Research Award, University of Maryland!
  • [Paper] 2022/12: Four papers accepted by SDM 2022! Congratulations Shengyu!
  • [Paper] 2022/11: Four papers accepted at AAAI 2023! Congratulations Zhili, Weiye, Erhu and Zhexiong!
  • [Paper] 2022/10: One paper accepted by Knowledge and Information Systems (KAIS)!
  • [Paper] 2022/10: One paper accepted by IEEE BigData 2022!
  • [SIGSPATIAL Cup] 2022/09: Solution selected as top-3 performances with an invited paper! Congratulations Weiye, Zhihao and Zhili!
  • [Keynote] 2022/09: To deliver a keynote talk at ACM SIGSPATIAL, ARIC Workshop on Nov. 1 in Seattle!
  • [Paper] 2022/08: Two papers accepted by IEEE ICDM 2022 and ACM SIGSPATIAL 2022!
  • [Award] 2022/05: Received the NSF/Amazon Fairness in AI (FAI) Award (UMD PI)!
  • [Award] 2022/05: Received the NASA AIST Award (PI)!
  • [Paper] 2022/05: One paper accepted by KDD 2022!
  • [Best Presentation] 2022/03: Received the Best Presentation (Honorable Mention) at Google's AI for Social Good mid-program meeting!
  • [Best Paper Track] 2022/02: Our paper is invited to the Sister Conference Best Paper Track at IJCAI 2022!
  • [Paper] 2021/12: One paper accepted by AAAI 2022!
  • [Paper] 2021/12: One paper accepted by SDM 2022!
  • [Best Paper] 2021/11: Received the Best Paper Award at IEEE ICDM 2021! (link)
  • [Paper] 2021/09: Our survey on statistically-robust clustering has been accepted by ACM Computing Surveys (CSUR)!
  • [Paper] 2021/08: Three papers accepted by IEEE ICDM 2021 and ACM SIGSPATIAL 2021!
  • [Award] 2021/08: Received the NSF EarthCube Award (PI)!
  • [Paper] 2021/08: Three papers accepted by ACM Transactions on Intelligent Systems and Technology (TIST)!
  • [Award] 2021/06: Received Google's AI for Social Good Award (PI; as gift)!
  • [Award] 2021/05: Received the NSF CISE CRII Award (PI; Program: CISE/IIS/III)!
  • [Award] 2021/05: Received the Dean's Research Initiative Award, University of Maryland!
  • [Paper] 2020/08: Two papers accepted by ACM SIGSPATIAL 2020!
  • [Best Paper] 2020/08: Received the Best Paper Award at the ACM SIGKDD'20 DeepSpatial Workshop!
  • [Highlight] 2020/01: Vision highlighted by Great Innovative Ideas of CCC @ Computing Resarch Association!
  • [Best Paper] 2019/11: Received the Best Vision Paper Award at the ACM SIGSPATIAL 2019!
  • [Best Paper] 2019/08: Received the Best Paper Award at SSTD 2019!

⧫ Broad research areas

  • Spatial-aware machine learning/deep learning
  • Physics-guided learning
  • Statistically-robust clustering and pattern mining
  • Spatial optimization (e.g., eco-routing, allocation)
  • Related applications: Smart cities, agriculture, Earth science, transportation, public health, public safety, etc.

⧫ Students

  • Weiye Chen, Ph.D. student (joined Fall, 2021)
  • Zhili Li, Ph.D. student (joined Spring, 2022)
  • Zhihao Wang, Ph.D. student (joined Summer, 2022)
  • Xiaoyue Tian, MS student
  • Michael Howerton, BS/MS student
  • Anh Nhu, BS student

⧫ Service

⧫ Teaching

  • University of Maryland: Deep Learning for Spatial and Spatiotemporal Data, Intro. to Spatial Artificial Intelligence, Spatial Data Mining
  • University of Minnesota (TA & Guest lectures): Machine learning, Intro. to Machine Leanring, Spatial Data Science Research, Databases

⧫ Coverage

Great Innovative Ideas CCC Blog
Maryland Today Research Roundup

⧫ Acknowledgements

nsf nsf google Amazon umd