Yingxue Zhang

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

Zhang, Y. ., Li, Y. ., Zhou, X. ., & Luo, J. . (2020). cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. In 2020 IEEE International Conference on Data Mining (ICDM) (p. 6). http://doi.org/10.1109/icdm50108.2020.00187

Zhang, Y. ., Li, Y. ., Zhou, X. ., Kong, X. ., & Luo, J. . (2020). Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (p. 11). http://doi.org/10.1145/3394486.3403127

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

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

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

Zhang, Y. ., Li, Y. ., Zhou, X. ., Kong, X. ., & Luo, J. . (2022). STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. In 2022 IEEE International Conference on Data Mining (ICDM) (p. 10). http://doi.org/10.1109/ICDM54844.2022.00085

Zhang, Y. ., Li, Y. ., Zhou, X. ., Luo, J. ., & Zhang, Z.-L. . (2022). Urban Traffic Dynamics Prediction—A Continuous Spatial-temporal Meta-learning Approach. ACM Transactions on Intelligent Systems and Technology, 13(2), 19. http://doi.org/10.1145/3474837

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

Zhang, Y. ., Li, Y. ., Zhou, X. ., Liu, Z. ., & Luo, J. . (2021). C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. In IEEE International Conference on Data Mining. http://doi.org/10.1109/ICDM51629.2021.00196