Publications

Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo (2024). Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. 2024 IEEE International Conference on Data Mining (ICDM), 9-12 December 2024, Abu Dhabi, UAE. (Acceptance rate = 19.5%).

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Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo (2024). Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. the 30th SIGKDD conference on Knowledge Discovery and Data Mining.

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Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo (2023). Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. 2023 IEEE International Conference on Data Mining (ICDM).

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Xin Zhang, Yanhua Li, Ziming Zhang, Christopher Brinton, Zhenming Liu, Zhi-Li Zhang (2023). Distributional Cloning for Stabilized Imitation Learning via ADMM. 2023 IEEE International Conference on Data Mining (ICDM).

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Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo (2023). CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. 2023 IEEE International Conference on Data Mining (ICDM).

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Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo (2023). Only Attending What Matter within Trajectories -- Memory-Efficient Trajectory Attention. SIAM International Conference on Data Mining (SDM24).

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Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo (2023). ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. the 29th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2023).

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Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher Brinton, Zhenming Liu (2023). Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

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Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang (2023). Domain Disentangled Meta-Learning. Proceedings of the 2023 SIAM International Conference on Data Mining (SDM).

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Xin Zhang, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo (2021). Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. Proceedings of the 29th International Conference on Advances in Geographic Information Systems.

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Xin Zhang, Weixiao Huang, Yanhua Li, Renjie Liao, Ziming Zhang (2021). Imitation Learning From Inconcurrent Multi-Agent Interactions. 2021 60th IEEE Conference on Decision and Control (CDC).

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Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo (2021). DAC-ML: domain adaptable continuous meta-learning for urban dynamics prediction. 2021 IEEE International Conference on Data Mining (ICDM).

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Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo (2020). TrajGAIL: Trajectory generative adversarial imitation learning for long-term decision analysis. 2020 IEEE International Conference on Data Mining (ICDM).

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Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang (2020). f-GAIL: Learning f-divergence for generative adversarial imitation learning. Advances in neural information processing systems.

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Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo (2020). cGAIL: Conditional Generative Adversarial Imitation Learning—an Application in Taxi Drivers’ Strategy Learning. IEEE transactions on big data.

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Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo (2019). Unveiling taxi drivers' strategies via cGAIL: Conditional generative adversarial imitation learning. 2019 IEEE International Conference on Data Mining (ICDM).

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