Publications

  1. [ICDM'21] Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo,
    DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction.[PDF]
    IEEE International Conference on Data Mining, (9.9%=98/990 Full paper acceptance ratio), Auckland, New Zealand, Nov. 7-10, 2021.

  2. [SIGSPATIAL GIS'21] Menghai Pan*, Xin Zhang*, Yanhua Li, Xun Zhou, and Jun Luo,
    Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers.[PDF]
    The 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, (34/152=22.4% Full paper acceptance ratio), Beijing, China, Nov. 2 - Nov. 5, 2021.

  3. [CDC'21] Xin Zhang*, Weixiao Huang*, Yanhua Li, Renjie Liao, Ziming Zhang,
    Imitation Learning From Inconcurrent Multi-Agent Interactions.[PDF]
    The 60th IEEE Conference on Decision and Control (CDC 2021), Austin, TX on December 13-15, 2021.

  4. [NeurIPS'20] Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang,
    f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning.[PDF][Website]
    Thirty-fourth Conference on Neural Information Processing Systems, Virtual Conference, December 6 - 12, 2020, (20.0%=1900/9454 Acceptance Ratio)

  5. [ICDM'20] Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo,
    TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis.[PDF]
    IEEE International Conference on Data Mining, (9.8%=91/930 Full paper acceptance ratio), Sorrento, Italy, Nov. 17-20, 2020.

  6. [TBD] Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo,
    cGAIL: Conditional Generative Adversarial Imitation Learning—An Application in Taxi Drivers’ Strategy Learning.[PDF]
    IEEE Transactions on Big Data, Accepted for publication, 2020.

  7. [ICDM'19] Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo,
    Unveiling Taxi Drivers’ Strategies via cGAIL - Conditional Generative Adversarial Imitation Learning.[PDF]
    IEEE International Conference on Data Mining, (18.5%=194/1,046 Acceptance Ratio), Beijing, China, Nov. 8-11, 2019.