Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. - Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (ICDM, 2019)

TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. - Xin Zhang 098; Yanhua Li; Xun Zhou 001; Ziming Zhang; Jun Luo 007 (ICDM, 2020)

f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. - Xin Zhang 098; Yanhua Li; Ziming Zhang; Zhi-Li Zhang (NeurIPS, 2020)

Imitation Learning From Inconcurrent Multi-Agent Interactions. - Xin Zhang 098; Weixiao Huang; Yanhua Li; Renjie Liao; Ziming Zhang (CDC, 2021)

Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. - Menghai Pan; Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (SIGSPATIAL/GIS, 2021)

DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. - Xin Zhang 098; Yanhua Li; Xun Zhou 001; Oren Mangoubi; Ziming Zhang; Vincent Filardi; Jun Luo 007 (ICDM, 2021)

cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning. - Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (IEEE Trans. Big Data, 2022)

CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. - Palawat Busaranuvong; Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (ICDM, 2023)

Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. - Mingzhi Hu; Zhuoyun Zhong; Xin Zhang 098; Yanhua Li; Yiqun Xie; Xiaowei Jia; Xun Zhou 001; Jun Luo 007 (ICDM, 2023)

Distributional Cloning for Stabilized Imitation Learning via ADMM. - Xin Zhang 098; Yanhua Li; Ziming Zhang; Christopher G. Brinton; Zhenming Liu; Zhi-Li Zhang (ICDM, 2023)

ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. - Mingzhi Hu; Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (KDD, 2023)

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. - Guojun Wu; Xin Zhang 098; Ziming Zhang; Yanhua Li; Xun Zhou 001; Christopher G. Brinton; Zhenming Liu (WACV, 2023)

Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. - Yuhang Liu 004; Yingxue Zhang 002; Xin Zhang 098; Yu Yang 010; Yiqun Xie; Sahar Ghanipoor Machiani; Yanhua Li; Jun Luo 007 (ICDM, 2024)

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. - Xinbo Zhao 001; Yingxue Zhang 002; Xin Zhang 098; Yu Yang 010; Yiqun Xie; Yanhua Li; Jun Luo 007 (KDD, 2024)

Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. - Mingzhi Hu; Xin Zhang 098; Yanhua Li; Yiqun Xie; Xiaowei Jia; Xun Zhou 001; Jun Luo 007 (SDM, 2024)

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models. - Yuhang Liu 004; Yingxue Zhang 002; Xin Zhang 098; Ling Tian; Yanhua Li; Jun Luo 007 (CoRR, 2025)