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 at umd.edu

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.

⧫ News

  • [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-ECAI 2022!
  • [Paper] 2021/12: One paper accepted by AAAI 2022!
  • [Paper] 2021/12: One paper accepted by SDM 2022!
  • [Best Paper] 2020/11: 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: Two full papers accepted by IEEE ICDM 2021!
  • [Paper] 2021/08: One full paper accepted by ACM SIGSPATIAL 2021!
  • [Award] 2021/08: Received the NSF EarthCube Award (PI, UMD; ICER)!
  • [Paper] 2021/08: Three papers accepted by ACM Transactions on Intelligent Systems and Technology (TIST)!
  • [CFP] 2021/06: Our SpatialAPI Workshop @ ACM SIGSPATIAL'21 is calling for tutorials (details)!
  • [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] 2020/09: One paper accepted by International Journal of Geographical Information Science (IJGIS)!
  • [Paper] 2020/08: Two full papers accepted by ACM SIGSPATIAL 2020!
  • [Best Paper] 2020/08: Received the Best Paper Award at the ACM SIGKDD'20 DeepSpatial Workshop!
  • [Paper] 2020/08: Two papers accepted by ACM Trans. on Data Science and DeepSpatial Workshop @ ACM SIGKDD!
  • [Thesis] 2020/06: Defended my PhD thesis (GeoAI: Challenges and Opportunities)!
  • [Highlight] 2020/01: Vision highlighted by Great Innovative Ideas of CCC @ Computing Resarch Association!
  • [Paper] 2020/01: One paper accepted by ACM Transactions on Data Science (TDS)!
  • [Best Paper] 2019/11: Received the Best Vision Paper Award at the ACM SIGSPATIAL 2019!
  • [Paper] 2019/08: Our paper has been accepted by 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)

⧫ Service

  • Co-Chair, ACM SIGSPATIAL SpatialAPI Workshop, 2021, 2022
  • Co-Chair, ACM SIGSPATIAL GeoIndustry Workshop, 2022
  • Program Committee, SDM, 2022
  • Program Committee, AAAI, 2022
  • Program Committee, IJCAI, 2021, 2022
  • Program Committee, ACM SIGKDD, 2021, 2022
  • Program Committee, ACM SIGSPATIAL, 2020, 2021, 2022
  • Program Committee Board, IJCAI
  • Program Committee, ACM SIGKDD DeepSpatial Workshop, 2021, 2022
  • Program Committee, ACM SIGSPATIAL GeoAI Workshop, 2021
  • Program Committee, ACM SIGSPATIAL SpatialEpi Workshop, 2021
  • Program Committee, ACM SIGSPATIAL Workshop on COVID, 2020.
  • Program Committee, ACM SIGKDD Workshop on Urban Computing (UrbComp), 2020.
  • Program Committee, ACM SIGKDD Workshop on Fragile Earth (FEED), 2020.
  • Session Chair, SSTDM (Spatial and Spatio-Temporal Data Mining) Workshop at IEEE ICDM 2018, Singapore.
  • Reviewer:
    • Journals (ACM Transactions on Intelligent Systems and Technology, ACM Transactions on Data Sciene, Remote Sensing of Environment, Geoinformatica, IJGIS, ISPRS IJGI, Agriculture, Mathematica)
    • Conferences (AAAI, SDM, ACM SIGSPATIAL, ACM SIGKDD, IJCAI)
    • Workshops (DeepSpatial@SIGKDD, GeoAI@SIGSPATIAL, COVID@SIGSPATIAL, FEED@SIGKDD, UrbComp@SIGKDD)

⧫ 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

⧫ Sponsors

Sincere gratitude to our sponsors from NSF, Google, the University of Maryland.

nsf umd google