Xin Zhang

Zhang, X. ., Li, Y. ., Zhang, Z. ., & Zhang, Z.-L. . (2020). f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. In Advances in neural information processing systems. Retrieved from https://par.nsf.gov/biblio/10290596

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, 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

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

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

Zhang, X. ., Li, Y. ., Zhang, Z. ., Brinton, C. G., Liu, Z. ., & Zhang, Z.-L. . (2023). Distributional Cloning for Stabilized Imitation Learning via ADMM. In (p. 10). IEEE. http://doi.org/10.1109/ICDM58522.2023.00091

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

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

Zhang, X. ., Li, Y. ., Zhang, Z. ., & Zhang, Z.-L. . (2023). Domain Disentangled Meta-Learning. In 2023 SIAM International Conference on Data Mining (SDM). http://doi.org/10.1137/1.9781611977653.ch61

Zhang, X. ., Liu, J. ., & Zhu, Z. . (2022). Learning Coefficient Heterogeneity over Networks: A Distributed Spanning-Tree-Based Fused-Lasso Regression. Journal of the American Statistical Association, 13. http://doi.org/10.1080/01621459.2022.2126363