Xin Zhang

According to our database, Xin Zhang authored at least 22 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

UniLLM: A Unified Large Language Model for Multi?Modal Urban Dynamics Prediction.

Yuhang Liu, Yingxue Zhang, Xin Zhang, Yanhua Li, Jun Luo

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation.

Zhiyang Zhang, Ningcong Chen, Xin Zhang, Yanhua Li, Shen Su, Hui Lu, Jun Luo

CoRR, October, 2025

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models.

Yuhang Liu, Yingxue Zhang, Xin Zhang, Ling Tian, Yanhua Li, Jun Luo

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MARCEL: Multifaceted SpAtial-TempoRal ContrastivE Learning for Generic Spatial-Temporal Representations.

Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yanhua Li, Jun Luo

Proceedings of the IEEE International Conference on Data Mining, 2025

Moderating the Generalization of Score-Based Generative Model.

Wan Jiang, He Wang, Xin Zhang, Dan Guo, Zhaoxin Fan, Yunfeng Diao, Richang Hong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

KG-STFT: Knowledge Graph-Guided Human-Generated Spatial-Temporal Cross-task Fine-Tuning.

Mingzhi Hu, Xin Zhang, Yanhua Li, Jun Luo

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024

Only Attending What Matter within Trajectories - <i>Memory-Efficient Trajectory Attention</i>.

Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.

Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction.

Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution.

Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Domain Disentangled Meta-Learning.

Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM.

Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Distributional Cloning for Stabilized Imitation Learning via ADMM.

Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations.

Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo

Proceedings of the IEEE International Conference on Data Mining, 2023

CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic.

Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning.

Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo

IEEE Trans. Big Data, 2022

2021

DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction.

Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo

Proceedings of the IEEE International Conference on Data Mining, 2021

Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers.

Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Imitation Learning From Inconcurrent Multi-Agent Interactions.

Xin Zhang, Weixiao Huang, Yanhua Li, Renjie Liao, Ziming Zhang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning.

Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis.

Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning.

Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019