Han Bao

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

Ding, Y., Zhou, X., Bao, H., Li, Y., Hamann, C., Spears, S., & Yuan, Z. (2020). Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. In Proceedings of the 28th International Conference on Advances in Geographic Information Systems (p. 10). http://doi.org/10.1145/3397536.3422258

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

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

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

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