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KDD 2025 | (2月轮)时空数据(Spatial-temporal)论文总结

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时空探索之旅
发布2025-07-02 18:55:26
发布2025-07-02 18:55:26
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文章被收录于专栏:时空探索之旅时空探索之旅

KDD 2025将在2025年8月3号到7号在加拿大多伦多举行,本文总结了KDD 2025(February Cycle)有关时空数据(Spatial-Temporal)相关文章,共计23篇,其中1-19为Research Track,20-23为ADS Track。

时空数据Topic:时空预测,轨迹表示学习,城市区域表示学习,轨迹生成,物流相关,大语言模型等。如有疏漏,欢迎补充!

1. Blurred Encoding for Trajectory Representation Learning2. CityGPT: Empowering Urban Spatial Cognition of Large Language Models3. Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs4. Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach5. Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization6. Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation7. Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework8. Flexible Urban Region Representation Learning9. GPE: Global Position Embedding for Trajectory Similarity Computation10. Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles11. Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision12. Marionette: Fine-Grained Conditional Generative Modeling of Spatiotemporal Human Trajectory Data Beyond Imitation13. Multi-scale Physics-informed Transformer With Spatio-temporal Feature Adapter For Extreme Precipitation Nowcasting14. Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting15. Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data16. Towards Trajectory Anomaly Detection: a Fine-Grained and Noise-Resilient Framework17. Urban Region Pre-training and Prompting: A Graph-based Approach18. UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models19. Utilizing Strategic Pre-training to Reduce Overfitting: Baguan – A Pre-trained Weather Forecasting Model20. A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction21. ASTNet: Asynchronous Spatio-Temporal Network for Large-Scale Chemical Sensor Forecasting22. NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer23. UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization

说明:如果论文总结中有(模型)图,则论文已经在网络上公开(arXiv,Openreview等)。目前doi的链接官网表示要在8月3日后公布。 ("DOI links will be available by August 3rd, please check back then to access the direct links below")

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Research Track

1 Blurred Encoding for Trajectory Representation Learning

链接https://doi.org/10.1145/3711896.3736861

作者:Silin Zhou (University of Electronic Science and Technology of China); Yao Chen (National University of Singapore); Shuo Shang (University of Electronic Science and Technology of China); Lisi Chen (University of Electronic Science and Technology of China); Bingsheng He (National University of Singapore); Ryosuke Shibasaki (LocationMind Inc.)

关键词:轨迹表示学习,模糊编码

2 CityGPT: Empowering Urban Spatial Cognition of Large Language Models

链接https://doi.org/10.1145/3711896.3736878

作者:Jie Feng (Department of Electronic Engineering, BNRist, Tsinghua University); Tianhui Liu (School of Electronic and Information Engineering, Beijing Jiaotong University); Yuwei Du (Department of Electronic Engineering, BNRist, Tsinghua University); Siqi Guo (Department of Electronic Engineering, Tsinghua University); Yuming Lin (Department of Urban Planning, Tsinghua University); Yong Li (Department of Electronic Engineering, BNRist, Tsinghua University)

关键词:空间识别,大语言模型

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3 Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs

链接https://doi.org/10.1145/3711896.3736904

作者:Jiawen Chen (School of Mathematics, Southeast University); Qi Shao (School of Mathematics, Southeast University); Duxin Chen (School of Mathematics, Southeast University); Wenwu Yu (School of Mathematics, Southeast University)

关键词:时空预测,超图,轻量化大模型

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4 Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach

链接https://doi.org/10.1145/3711896.3736914

作者:Chao Chen (Central South University); Tian Zhou (Damo Academy, Alibaba Group); Yanjun Zhao (Damo Academy, Alibaba Group); Hui Liu (Central South University); Liang Sun (Damo Academy, Alibaba Group); Rong Jin (Damo Academy, Alibaba Group)

关键词:时空预测,向量量化

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5 Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization

链接https://doi.org/10.1145/3711896.3736937

作者:Yile Chen (Nanyang Technological University); Yicheng Tao (Southern University of Science and Technology); Yue Jiang (Nanyang Technological University); Shuai Liu (Nanyang Technological University); Han Yu (Nanyang Technological University); Gao Cong (Nanyang Technological University)

关键词:移动分析,大语言模型

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6 Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation

链接https://doi.org/10.1145/3711896.3736961

作者:Shuhao Li (Fudan University,Shanghai Key Laboratory of Data Science); Weidong Yang (Fudan University,Zhuhai Fudan Innovation Research Institute); Yue Cui (The Hong Kong University of Science and Technology); Xiaoxing Liu (GZHU-SCHB Intelligent Transportation Joint Lab, Guangzhou University); Lingkai Meng (Shanghai Jiao Tong University); Lipeng Ma (Fudan University,Shanghai Key Laboratory of Data Science); Fan Zhang (GZHU-SCHB Intelligent Transportation Joint Lab, Guangzhou University)

关键词:细粒度交通流量推理,时空图节点生成

7 Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework

链接https://doi.org/10.1145/3711896.3736962

作者:Xingchen Zou (The Hong Kong University of Science and Technology (Guangzhou)); Weilin Ruan (The Hong Kong University of Science and Technology (Guangzhou)); Siru Zhong (The Hong Kong University of Science and Technology (Guangzhou)); Yuehong Hu (The Hong Kong University of Science and Technology (Guangzhou)); Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou))

关键词:细粒度城市热岛效应预测

8 Flexible Urban Region Representation Learning

链接https://doi.org/10.1145/3711896.3736965

作者:Fengze Sun (School of Computing and Information Systems, University of Melbourne); Yanchuan Chang (School of Computing and Information Systems, University of Melbourne); Egemen Tanin (School of Computing and Information Systems, University of Melbourne); Shanika Karunasekera (School of Computing and Information Systems, University of Melbourne); Jianzhong Qi (School of Computing and Information Systems, University of Melbourne)

关键词:城市区域表示学习

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9 GPE: Global Position Embedding for Trajectory Similarity Computation

链接https://doi.org/10.1145/3711896.3736986

作者:Yuanjun Liu (School of Computer Science and Technology, Soochow University); Guanfeng Liu (School of Computing, Macquarie University); Qingzhi Ma (School of Computer Science and Technology, Soochow University); Zhixu Li (School of Information, Renmin University of China); Lei Zhao (School of Computer Science and Technology, Soochow University); An Liu (School of Computer Science and Technology, Soochow University)

关键词:轨迹相似度计算

10 Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles

链接https://doi.org/10.1145/3711896.3737017

作者:Junjun Li (South China University of Technology); Zeyuan Ma (School of Computer Science, South China University of Technology); Ting Huang (Guangzhou Technology Institute, Xidian University); Yue-Jiao Gong (South China University of Technology)

关键词:多智能体,自动驾驶导航,路径优化

11 Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision

链接https://doi.org/10.1145/3711896.3737019

作者:Yuanshao Zhu (Southern University of Science and Technology,City University of Hong Kong); James Jianqiao Yu (Harbin Institute of Technology, Shenzhen); Xiangyu Zhao (City University of Hong Kong); Xiao Han (Zhejiang University of Technology); Qidong Liu (Xi’an Jiao Tong University,City University of Hong Kong); Xuetao Wei (Southern University of Science and Technology); Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou))

关键词:轨迹表示学习,统一模型,灵活性,泛化性

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12 Marionette: Fine-Grained Conditional Generative Modeling of Spatiotemporal Human Trajectory Data Beyond Imitation

链接https://doi.org/10.1145/3711896.3737039

作者:Bangchao Deng (University of Macau); Ling Ding (University of Macau); Lianhua Ji (University of Macau); Chunhua Chen (University of Macau); Xin Jing (University of Macau); Bingqing Qu (Beijing Normal-Hong Kong Baptist University); Dingqi Yang (University of Macau)

关键词:人类移动轨迹生成

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13 Multi-scale Physics-informed Transformer With Spatio-temporal Feature Adapter For Extreme Precipitation Nowcasting

链接https://doi.org/10.1145/3711896.3737061

作者:Jingyuan Zheng (Hangzhou Dianzi University); Xin Zhang (Hangzhou Dianzi University); Zhilin Qi (Hangzhou Dianzi University); Ruiang Qiu (Hangzhou Dianzi University); Dongjing Wang (Hangzhou Dianzi University); Haiping Zhang (Hangzhou Dianzi University); Dongjin Yu (Hangzhou Dianzi University)

关键词:极端降水临近预报

14 Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting

链接https://doi.org/10.1145/3711896.3737081

作者:Yingtao Luo (Carnegie Mellon University); Shikai Fang (Microsoft Research Asia); Binqing Wu (Zhejiang University); Qingsong Wen (Squirrel Ai Learning); Liang Sun (DAMO Academy, Alibaba Group)

关键词:天气预测,物理驱动

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15 Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data

链接https://doi.org/10.1145/3711896.3737158

作者:Junhao Zhu (Zhejiang University); Tao Wang (Zhejiang University); Lu Chen (Zhejiang University); Ziquan Fang (Zhejiang University); Yunjun Gao (Zhejiang University); Tianyi Li (Aalborg University)

关键词:轨迹数据增强

16 Towards Trajectory Anomaly Detection: a Fine-Grained and Noise-Resilient Framework

链接https://doi.org/10.1145/3711896.3737164

作者:Wei Shao (School of Software, Zhejiang University); Ziquan Fang (School of Software, Zhejiang University); Lu Chen (School of Computer Science, Zhejiang University); Yunjun Gao (School of Computer Science, Zhejiang University)

关键词:轨迹异常检测,细粒度,抗噪声

17 Urban Region Pre-training and Prompting: A Graph-based Approach

链接https://doi.org/10.1145/3711896.3737176

作者:Jiahui Jin (School of Computer Science and Engineering, Southeast University); Yifan Song (School of Computer Science and Engineering, Southeast University); Dong Kan (School of Computer Science and Engineering, Southeast University); Haojia Zhu (School of Computer Science and Engineering, Southeast University); Xiangguo Sun (Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong); Zhicheng Li (School of Computer Science and Engineering, Southeast University); Xigang Sun (School of Computer Science and Engineering, Southeast University); Jinghui Zhang (School of Computer Science and Engineering, Southeast University)

关键词:城市区域表示学习

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

链接https://doi.org/10.1145/3711896.3737177

作者:Yuhang Liu (State University of New York at Binghamton); Yingxue Zhang (State University of New York at Binghamton); Xin Zhang (San Diego State University); Ling Tian (University of Electronic Science and Technology of China); Yanhua Li (Worcester Polytechnic Institute); Jun Luo (Logistics and Supply Chain MultiTech R&D Centre)

关键词:城市动态预测,时空大语言模型

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19 Utilizing Strategic Pre-training to Reduce Overfitting: Baguan – A Pre-trained Weather Forecasting Model

链接https://doi.org/10.1145/3711896.3737178

作者:Peisong Niu (Alibaba DAMO, Alibaba Group); Ziqing Ma (Damo Academy, Alibaba Group); Tian Zhou (Damo Academy, Alibaba Group); Weiqi Chen (DAMO Academy, Alibaba Group); Lefei Shen (Computer Science and Technology, Zhejiang University); Rong Jin (DAMO Academy); Liang Sun (DAMO Academy, Alibaba Group)

关键词:预训练天气预报模型

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ADS Track

20 A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction

链接https://doi.org/10.1145/3711896.3737186

作者:Kaiwen Xia (Southeast University); Li Lin (Computer Science and Engineering Department, Southeast University); Xinrui Zhang (Southeast University); Haotian Wang (JD Logistic); Shuai Wang (Department of Computer Science, Southeast University); Tian He (JD Logistic)

关键词:物流需求预测,迁移学习

21 ASTNet: Asynchronous Spatio-Temporal Network for Large-Scale Chemical Sensor Forecasting

链接https://doi.org/10.1145/3711896.3737194

作者:Shihao Tu (College of Computer Science and Technology, Zhejiang University); Yang Yang (CS&T, Zhejiang University); Wenyue Ding (SUPCON Technology Co., Ltd., Zhejiang University); Yicheng Lu (Zhejiang University); Qingkai Ren (College of Engineers, Zhejiang University); Yupeng Zhang (Zhejiang University); Yin Zhang (The College of Computer Science and Technology, Zhejiang University)

关键词:异步时空网络,化学传感器预测

22 NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer

链接https://doi.org/10.1145/3711896.3737252

作者:Tengfei Lyu (The Hong Kong University of Science and Technology (Guangzhou)); Jindong Han (The Hong Kong University of Science and Technology); Hao Liu (The Hong Kong University of Science and Technology (Guangzhou),The Hong Kong University of Science and Technology)

关键词:核辐射预测,时空Transformer

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23 UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization

链接https://doi.org/10.1145/3711896.3737272

作者:Haoye Chai (Department of Electronic Engineering, BNRist, Tsinghua University); Shiyuan Zhang (Department of Electronic Engineering, BNRist, Tsinghua University); Xiaoqian Qi (Department of Electronic Engineering, BNRist, Tsinghua University); Baohua Qiu (China Mobile); Yong Li (Department of Electronic Engineering, BNRist, Tsinghua University)

关键词:移动流量预测,无线网络优化

相关链接

February Cycle Research Track:https://kdd2025.kdd.org/research-track-papers-2/

February Cycle ADS Track:https://kdd2025.kdd.org/applied-data-science-ads-track-papers-2/

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目录
  • Research Track
    • 1 Blurred Encoding for Trajectory Representation Learning
    • 2 CityGPT: Empowering Urban Spatial Cognition of Large Language Models
    • 3 Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs
    • 4 Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach
    • 5 Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization
    • 6 Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation
    • 7 Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework
    • 8 Flexible Urban Region Representation Learning
    • 9 GPE: Global Position Embedding for Trajectory Similarity Computation
    • 10 Learn to Refine: Synergistic Multi-Agent Path Optimization for Lifelong Conflict-Free Navigation of Autonomous Vehicles
    • 11 Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
    • 12 Marionette: Fine-Grained Conditional Generative Modeling of Spatiotemporal Human Trajectory Data Beyond Imitation
    • 13 Multi-scale Physics-informed Transformer With Spatio-temporal Feature Adapter For Extreme Precipitation Nowcasting
    • 14 Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
    • 15 Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data
    • 16 Towards Trajectory Anomaly Detection: a Fine-Grained and Noise-Resilient Framework
    • 17 Urban Region Pre-training and Prompting: A Graph-based Approach
    • 18 UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models
    • 19 Utilizing Strategic Pre-training to Reduce Overfitting: Baguan – A Pre-trained Weather Forecasting Model
  • ADS Track
    • 20 A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction
    • 21 ASTNet: Asynchronous Spatio-Temporal Network for Large-Scale Chemical Sensor Forecasting
    • 22 NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer
    • 23 UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization
  • 相关链接
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