Xun Zhou

Zhang, Y. ., Li, Y. ., Zhou, X. ., & Luo, J. . (2022). Mest-GAN: Cross-City Urban Traffic Estimation with Meta Spatial-Temporal Generative Adversarial Networks. In 2022 IEEE International Conference on Data Mining (ICDM) (p. 10). http://doi.org/10.1109/ICDM54844.2022.00084

Ding, Y. ., Zhang, Z. ., Li, Y. ., & Zhou, X. . (2022). EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. In SIGSPATIAL ’22: Proceedings of the 30th International Conference on Advances in Geographic Information Systems (p. 10). http://doi.org/10.1145/3557915.3560946

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

Zhang, Y. ., Li, Y. ., Zhou, X. ., Zhang, Z. ., & Luo, J. . (2023). STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. In 2023 SIAM International Conference on Data Mining (SDM). http://doi.org/10.1137/1.9781611977653.ch24

Hu, M. ., Zhang, X. ., Li, Y. ., Zhou, X. ., & Luo, J. . (2023). ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. In the 29th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2023). Retrieved from https://par.nsf.gov/biblio/10420177

Busaranuvong, P. ., Zhang, X. ., Li, Y. ., Zhou, X. ., & Luo, J. . (2023). CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. In (p. 10). IEEE. http://doi.org/10.1109/ICDM58522.2023.00011

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. ., 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

Vahedian Khezerlou, A. ., Zhou, X. ., Tong, L. ., Li, Y. ., & Luo, J. . (2019). Forecasting Gathering Events through Trajectory Destination Prediction: a Dynamic Hybrid Model. IEEE Transactions on Knowledge and Data Engineering, 1. http://doi.org/10.1109/TKDE.2019.2937082

Zhang, Y. ., Li, Y. ., Zhou, X. ., Kong, X. ., & Luo, J. . (2019). TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. In 2019 IEEE International Conference on Data Mining (ICDM) (p. 6). http://doi.org/10.1109/ICDM.2019.00193