Yiqun Xie

Bao, H. ., Zhou, X. ., Zhang, Y. ., Li, Y. ., & Xie, Y. . (2020). COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. In Proceedings of the 28th International Conference on Advances in Geographic Information Systems (p. 10). http://doi.org/10.1145/3397536.3422261

Xie, Y. ., Cai, J. ., Bhojwani, R. ., Shekhar, S. ., & Knight, J. . (2019). A locally-constrained YOLO framework for detecting small and densely-distributed building footprints. International Journal of Geographical Information Science, 25. http://doi.org/10.1080/13658816.2019.1624761

Xie, Y. ., & Shekhar, S. . (2019). Significant DBSCAN towards Statistically Robust Clustering. In SSTD ’19: Proceedings of the 16th International Symposium on Spatial and Temporal Databases (p. 10). http://doi.org/10.1145/3340964.3340968

Xie, Y. ., Shekhar, S. ., Feiock, R. ., & Knight, J. . (2019). Revolutionizing Tree Management via Intelligent Spatial Techniques. In SIGSPATIAL ’19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (p. 4). http://doi.org/10.1145/3347146.3359066

Xie, Y. ., & Shekhar, S. . (2020). A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities. ACM/IMS/Transactions/on/Data/Science. http://doi.org/10.1145/3379562

Xie, Y. ., Zhou, X. ., & Shekhar, S. . (2020). Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. ACM Transactions on Intelligent Systems and Technology, 11(1), 24. http://doi.org/10.1145/3354189

Xie, Y. ., Bao, H. ., Li, Y. ., & Shekhar, S. . (2020). Discovering Spatial Mixture Patterns of Interest. In 28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’20) (p. 10). http://doi.org/10.1145/3397536.3422217

Cai, J. ., Deng, M. ., Guo, Y. ., Xie, Y. ., & Shekhar, S. . (2021). Discovering regions of anomalous spatial co-locations. International Journal of Geographical Information Science, 35(5), 25. http://doi.org/10.1080/13658816.2020.1830998

Gupta, J. ., Molnar, C. ., Xie, Y. ., Knight, J. ., & Shekhar, S. . (2021). Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. ACM Transactions on Intelligent Systems and Technology, 12(6), 21. http://doi.org/10.1145/3466688

Xie, Y. ., Shekhar, S. ., & Li, Y. . (2023). Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. ACM Computing Surveys, 55(2), 38. http://doi.org/10.1145/3487893