Publications

Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yanhua Li, Jun Luo (2025). MARCEL: Multifaceted Spatial-Temporal Contrastive Learning for Generic Spatial-Temporal Representations. 2025 IEEE International Conference on Data Mining (ICDM), 12-15 November 2025..

Cite

Mingzhi Hu, Xin Zhang, Yanhua Li, Jun Luo (2025). KG-STFT: Knowledge Graph-Guided Human-Generated Spatial-Temporal Cross-task Fine-Tuning. 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2025).

Cite

Wan Jiang, He Wang, Xin Zhang, Dan Guo, Zhaoxin Fan, Yunfeng Diao, Richang Hong, (2025). Moderating the generalization of score-based generative model. 2025 Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

PDF Cite

Yuhang Liu, Yingxue Zhang, Xin Zhang, Ling Tian, Yanhua Li, Jun Luo (2025). UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models. 2025 Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).

PDF Cite

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%).

Cite

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.

Cite

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).

Cite

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).

Cite

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).

Cite

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).

Cite

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).

PDF Cite

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.

PDF Cite

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).

PDF Cite

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.

PDF Cite

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).

PDF Cite

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).

PDF Cite

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).

PDF Cite

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.

PDF Cite

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.

PDF Cite

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).

PDF Cite