IJCAI 2025 | 时空数据（Spatial-temporal）论文总结

时空探索之旅

发布于 2025-07-29 10:08:02

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IJCAI 2025将在2025年8月16日到8月22日于加拿大蒙特利尔（Montreal, Canada）和2025年8月举行。IJCAI 2025共有5404篇投稿，共录取了1042篇论文，录取率19.3%。

本文总结了2025 IJCAI上有关时空数据（spatial-temporal）相关论文，共计23篇。

时空预测Topic：预测，异常检测，LLM应用，多模态等。其中1-3为蒙特利尔会场，其余Main Track论文为广州会场。

1. Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning2. Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction3. Beyond the Map: Learning to Navigate Unseen Urban Dynamics Using Diffusion-Guided Deep Reinforcement Learning4. Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework5. Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data6. Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios7. Revealing Concept Shift in Spatio-Temporal Graphs via State Learning8. A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting9. Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction10. ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting11. TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference12. TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories13. Continuous Diffusive Prediction Network for Multi-Station Weather Prediction14. RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming15. CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning16. Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction17. Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling18. STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation19. Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion20. DualCast: A Model to Disentangle Aperiodic Events from Traffic Series21. DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion22. Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning23. Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling

1 Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning

作者：Lukasz Pelcner, Leandro Soriano Marcolino, Matheus Aparecido do Carmo Alves, Paula A. Harrison, Peter M. Atkinson

关键词：现代城市规划，强化学习

2 Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction

链接：https://arxiv.org/abs/2501.13794

作者：Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li

关键词：扩散模型、噪声先验、移动流量预测

3 Beyond the Map: Learning to Navigate Unseen Urban Dynamics Using Diffusion-Guided Deep Reinforcement Learning

作者：Monu Nagar, Debasis Das

关键词：城市导航，强化学习

4 Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework

作者：Yudong Zhang, Zhaoyang Sun, Xu Wang, Xuan Yu, Kai Wang, Yang Wang

关键词：时空建模，时频解缠，预训练

5 Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data

链接：https://arxiv.org/abs/2411.15893

作者：Chengxin Wang, Gary Tan, Swagato Barman Roy, Beng Chin Ooi

关键词：时空预测，在线学习，流数据

6 Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios

作者：Xigang Sun, Jiahui Jin, Hancheng Wang, Xiangguo Sun, Xiaoliang Wang, Jun Zhu

关键词：交通预测，对比学习

7 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning

作者：Kuo Yang, Yunhe Guo, Qihe Huang, Zhengyang Zhou, Yang Wang

关键词：时空图，概念漂移

8 A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting

链接：https://arxiv.org/abs/2506.00798

作者：Jiankai Zheng, Liang Xie

关键词：动态时空图神经网络

9 Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction

作者：Jiaqi Zheng, Qing Ling, Yerong Feng

10 ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting

作者：Hongyu Wang, Lisi Chen, Shuo Shang, Peng Han, Christian S. Jensen

关键词：事故预测

11 TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference

作者：Hongyu Wang, Lisi Chen, Shuo Shang

关键词：POI关系推断

12 TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

链接：https://arxiv.org/abs/2405.12459

作者：Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

关键词：轨迹表示学习，LLM

13 Continuous Diffusive Prediction Network for Multi-Station Weather Prediction

作者：Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang, Kai Lv, Xianglong Liu

关键词：天气预测

14 RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming

作者：Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu

关键词：时空预测，LLM，重编程

15 CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning

作者：Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong

关键词：时空OOD，聚类

16 Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction

作者：Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong

关键词：OD需求预测

17 Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling

作者：Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han, Haidong Gao, Guojiang Shen, Xiangjie Kong

关键词：时空图建模，子图学习

18 STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation

链接：https://arxiv.org/abs/2506.08054

作者：Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu

关键词：交通数据插补，MoE

19 Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion

作者：Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan

关键词：多模态交通分析，视觉语言模型

20 DualCast: A Model to Disentangle Aperiodic Events from Traffic Series

链接：https://arxiv.org/abs/2411.18286

作者：Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi

关键词：交通预测

21 DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion

作者：Jiayi Li, Junhua Fang, Pingfu Chao, Jiajie Xu, Pengpeng Zhao

关键词：轨迹表示学习，轨迹相似度学习

22 Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning

作者：Xinyan Hao, Huaiyu Wan, Shengnan Guo, Youfang Lin

关键词：交通预测，迁移学习

23 Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling

作者：Xixi Li, Zhuo Gu, Rui Yao, Yong Zhou, Hancheng Zhu, Jiaqi Zhao, Wen-liang Du

关键词：POI推荐，超图