Xun Zhou

Zhang, X., Li, Y., Zhou, X., & Luo, J. (2019). Unveiling Taxi Drivers’ Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. In 2019 IEEE International Conference on Data Mining (ICDM) (p. 6). http://doi.org/10.1109/ICDM.2019.00194

Ding, Y., Zhou, X., Wu, G., Li, Y., Bao, J., Zheng, Y., & Luo, J. (2019). Mining Spatio-temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Transactions on Knowledge and Data Engineering, 1. http://doi.org/10.1109/TKDE.2019.2959531

Zhang, X., Li, Y., Zhou, X., & Luo, J. (2020). cGAIL: Conditional Generative Adversarial Imitation Learning—An Application in Taxi Drivers’ Strategy Learning. IEEE Transactions on Big Data, 1. http://doi.org/10.1109/tbdata.2020.3039810

Pan, M., Huang, W., Li, Y., Zhou, X., Liu, Z., Song, R., … Luo, J. (2020). DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers’ Learning Curve Analysis. ACM Transactions on Intelligent Systems and Technology, 11(1), 19. http://doi.org/10.1145/3360312

Yang, M., Li, Y., Zhou, X., Lu, H., Tian, Z., & Luo, J. (2020). Inferring Passengers’ Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. In The Web Conference 2020 (p. 11). http://doi.org/10.1145/3366423.3380235

Ren, H., Pan, M., Li, Y., Zhou, X., & Luo, J. (2020). ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (p. 10). http://doi.org/10.1145/3394486.3403183

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

Pan, M., Huang, W., Li, Y., Zhou, X., & Luo, J. (2020). xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (p. 10). http://doi.org/10.1145/3394486.3403186

Zhang, X., Li, Y., Zhou, X., Zhang, Z., & Luo, J. (2020). TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-Term Decision Analysis. In 2020 IEEE International Conference on Data Mining (ICDM) (p. 10). http://doi.org/10.1109/ICDM50108.2020.00089

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