Yiqun Xie

Xie, Y., & Shekhar, S. (2019). A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results. In Proceedings of the 2019 SIAM International Conference on Data Mining (p. 9). http://doi.org/10.1137/1.9781611975673.10

Bao, H., Zhou, X., Xie, Y., Zhang, Y., & Li, Y. (2022). COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. ACM Transactions on Intelligent Systems and Technology, 13(2), 23. http://doi.org/10.1145/3481617

Bao, H., Zhou, X., Xie, Y., Li, Y., & Jia, X. (2022). STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. In 2022 IEEE International Conference on Data Mining (ICDM) (p. 10). http://doi.org/10.1109/ICDM54844.2022.00010

Xie, Y., Wang, Z., Mai, G., Li, Y., Jia, X., Gao, S., & Wang, S. (2023). Geo-Foundation Models: Reality, Gaps and Opportunities. In (p. 4). ACM. http://doi.org/10.1145/3589132.3625616

Hu, M., Zhong, Z., Zhang, X., Li, Y., Xie, Y., Jia, X., … Luo, J. (2023). Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. In (p. 10). IEEE. http://doi.org/10.1109/ICDM58522.2023.00024

Kalanat, N., Xie, Y., Li, Y., & Jia, X. (2024). Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction. In (p. 9). the 2024 SIAM International Conference on Data Mining (SDM). Retrieved from https://par.nsf.gov/biblio/10507141

Xie, Y., Eftelioglu, E., Ali, R., Tang, X., Li, Y., Doshi, R., & Shekhar, S. (2017). Transdisciplinary Foundations of Geospatial Data Science. ISPRS International Journal of Geo-Information, 6(12), 1. http://doi.org/10.3390/ijgi6120395

Xie, Y., Gupta, J., Li, Y., & Shekhar, S. (2018). Transforming Smart Cities with Spatial Computing. In 2018 IEEE International Smart Cities Conference (ISC2) (p. 9). http://doi.org/10.1109/ISC2.2018.8656800

Xie, Y., Bao, H., Shekhar, S., & Knight, J. (2018). A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. In 2018 IEEE International Conference on Data Mining (ICDM) (p. 6). http://doi.org/10.1109/ICDM.2018.00183

Xie, Y., Bhojwani, R., Shekhar, S., & Knight, J. (2018). An unsupervised augmentation framework for deep learning based geospatial object detection: a summary of results. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (p. 10). http://doi.org/10.1145/3274895.3274901