profile

Yiqun Xie

PhD candidate (started in 2015)
Computer Science and Engineering
University of Minnesota, Twin Cities
Email: xiexx347 at umn.edu

Advisor: Dr. Shashi Shekhar
Google Scholar
Selected Journal Publications
  1. Yiqun Xie and Shashi Shekhar. 2020. A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities. In press: ACM Transactions on Data Science (ACM TDS). (coming)
  2. Yiqun Xie, Xun Zhou and Shashi Shekhar. 2020. Discovering Interesting Sub-Paths with Statistical Significance from Spatio-temporal Datasets. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 11(1). (link)
  3. Yiqun Xie, Jiannan Cai, Rahul Bhojwani, Shashi Shekhar and Joseph Knight. 2019. A Locally Constrained YOLO Framework for Detecting Small and Densely Distributed Building Footprints. International Journal of Geographic Information Science (IJGIS). (link)
  4. Yiqun Xie, Emre Eftelioglu, Reem Ali, Xun Tang, Yan Li, Ruhi Doshi and Shashi Shekhar. 2017. Transdisciplinary Foundations of Geospatial Data Science. ISPRS International Journal of Geo-Information, 2017, 6(12). (link)
  5. Yiqun Xie, Guoan Tang, Shijiang Yan and Hui Lin, 2013. Crater detection using the morphological characteristics of Chang'E-1 digital elevation models. IEEE Geoscience and Remote Sensing Letters, 10(4), pp.885-889. (link)
  6. Yiqun Xie, Bryan Runck, Shashi Shekhar, Len Kne, David Mulla, Nicholas Jordan and Peter Wiringa, 2017. Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation. ISPRS International Journal of Geo-Information, 2017,6(7) (link)
  7. Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apte, Vipin Kumar, Mitch Tuinstra, and Ranga Raju Vatsavai. 2017. Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. Newsl. 18, 2 (March 2017), 1-4. (link)
Selected Conference Publications
  1. Yiqun Xie, Shashi Shekhar, Richard Feiock and Joseph Knight. Revolutionizing Tree Management via Intelligent Spatial Techniques: A Vision. Accepted by: ACM SIGSPATIAL International Conference on Advancements in Geographic Information Systems (SIGSPATIAL'19), Chicago, IL, Nov. 2019. (Best Vision Paper Award. Acceptance rate: 15% for vision). (link)
  2. Yiqun Xie and Shashi Shekhar. Significant DBSCAN towards Statistically Robust Clustering. Accepted by: International Symposium on Spatial and Temporal Databases (SSTD'19), Vienna, Austria, Aug. 2019. (Best Paper Award. Overall acceptance rate: 32%) (link)
  3. Yiqun Xie and Shashi Shekhar. NN-scan: A Nondeterministic Normalization based Scan Statistics towards Robust Hotspot Detection. In: Proceedings of the 2019 SIAM International Conference on Data Mining (SDM'19), Calgary, Canada, May 2019. (Acceptance rate: 22.7%) (link)
  4. Yiqun Xie, Han Bao, Shashi Shekhar and Joseph Knight. A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. In: IEEE International Conference on Data Mining (ICDM'18), Singapore, Nov. 2018. (Acceptance rate: 19.94%) (link)
  5. Yiqun Xie, Rahul Bhojwani, Shashi Shekhar and Joseph Knight. An Unsupervised Augmentation Framework for Deep Learning based Geospatial Object Detection: A Summary of Results. In: Proceedings of the ACM SIGSPATIAL International Conference on Advancements in Geographic Information Systems (SIGSPATIAL'18), Seattle, WA, Nov. 2018. (Acceptance rate: 20%) (link)
  6. Yiqun Xie, Jayant Gupta, Yan Li and Shashi Shekhar. Transforming Smart Cities with Spatial Computing. In: IEEE International Smart Cities Conference (ISC2 2018), Kansas City, MO, Sep. 2018. (link)
  7. Yiqun Xie and Shashi Shekhar. FF-SA: Fragmentation-Free Spatial Allocation. In: International Symposium on Spatial and Temporal Databases (SSTD'17). Arlington, VA, Aug. 2017. (Acceptance rate: 32.8%) (link)
  8. Yiqun Xie, KwangSoo Yang, Shashi Shekhar, Brent Dalzell, David Mulla. Spatially constrained Geodesign optimization (GOP) for improving agricultural watershed sustainability. In: The Thirty-first AAAI Conference on Artificial Intelligence (AAAI-17), Workshop on AI and OR for Social Good. San Francisco, CA, Feb. 2017. (link)
  9. Eftelioglu, E., Shekhar, S., Oliver, D., Zhou, X., Evans, M.R., Xie, Y., Kang, J.M., Laubscher, R. and Farah, C., 2014, December. Ring-shaped hotspot detection: a summary of results. In Data Mining (ICDM), 2014 IEEE International Conference on (pp. 815-820). (Acceptance rate: 19.5%) (link)
  10. S. K. Prasad, D. Aghajarian, Mi. McDermott, D. Shah, M. Mokbel, S. Puri, S. J. Rey, S. Shekhar, Y. Xie, R. R. Vatsavai, F. Wang, Y. Liang, H. Vo and S. Wang: Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. In: Proceedings of IEEE BigData Congress. June 25 - June 30, 2017, Honolulu, Hawaii, USA. (link)
Presentations
  1. Yiqun Xie and Shashi Shekhar. Spatial Computing. Inaugural meeting of the Center for Excellence in Remote Sensing (CERS), University of Minnesota, May 16, 2018.
  2. Xie, Y., Shekhar, S., Dalzell, B., Mulla, D.: Fragmentation-Free Land Allocation: A Spatial Optimization Approach. At: Machine Learning: From Farm to Table Workshop, Midwest Big Data Hub, University of Illinois at Urbana-Champaign, Apr. 2017. (link)
  3. Yiqun Xie, Zhe Jiang, Emre Eftelioglu, Shashi Shekhar, Brent Dalzell, David Mulla. Geodesign Optimization towards Improving Agricultural Watershed Management (Poster), ACM SIG-KDD Conference on Knowledge and Data Discovery, Workshop on Data Sciecen for Food, Energy and Water, San Francisco, CA, Aug. 2016. (link)
  4. Yiqun Xie. On the road with collaborative Geodesign. in: ESRI Developer Summit, Palm Springs, CA, Mar. 2014.
  5. Yiqun Xie, Guoan Tang, Shijiang Yan and Hui Lin. Digital terrain analysis for detecting impact craters on the lunar surface. In: Geoinfomatics2012, Hong Kong, June, 2012. (link)