KDD 2026 | (2月轮)时空数据(Spatial-Temporal)论文总结时空【下】(人群移动,城市科学(资源调度,)

KDD 2026于2026年8月9日至13日于韩国济州(Jeju, Korea )正在举行。

本文总结了KDD 2026(February Cycle)上有关时空数据(Spatial-Temporal)的相关论文。

注 :由于时空数据的论文高达63篇,笔者将分为上下2篇推文来总结,下篇主要涉及人群移动,城市科学和气象时空等论文,包含Research ,Applied Data Science ,AI for Science 和Datasets and Benchmarks 4个Track的论文。

时空数据Topic:人群移动,城市科学(资源调度,城市区域表示),气象科学(天气预报),大模型,Agent的应用等。

Research 1. Where to Go Next: Enhancing Zero-Shot Capability for Cross-City Mobility Prediction 2. PG-DyRA: Potential-Game Guided Multi-Agent Collaboration for Dynamic Urban Resource Allocation 3. Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling 4. UrbanExpert: Task-Conditioned Multi-Modal Fusion via Semantic Expert Routing for Urban Socioeconomic Prediction 5. Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels 6. AeroWF: A Geometric Spectral-Temporal Dual-Stream Learning Framework for Aerodrome Weather Forecasting 7. TRACER: Physics-Guided Causal Evidence Construction for Zero-Shot Traffic Anomaly Diagnosis 8. Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes 9. Local Rules, Global Efficiency: Emergent Coordination on Large-Scale Road Networks 10. Low-rank Spectral Flow Matching for Human Trajectory Prediction AI for Sciences 11. The Scaling Bottleneck of Human Mobility Modeling 12. CityWeave: Weaving User Needs and World Constraints for Personalized and Reliable Mobility Planning 13. WISE: Hierarchical Worker Scheduling for Efficient Multi-Source Urban Delivery 14. Ready to Sim? Inverse Parametric Building Modeling via Universal Anchor Representation for Urban Simulation 15. Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System 16. Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation 17. Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling 18. Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction 19. RainCast: A High-Resolution 72-Hour Short-Term Precipitation Forecasting ModelApplied Data Science 20. Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting 21. LineLM: An Operational Language Model for Minimizing Expert Curation Effort in Large-Scale Geospatial Vector Lines Blue Sky Ideas 22. Episode Spaces: Mining Reusable Knowledge from Urban Simulation Corpora for Safety-Critical Decision Support 23. PCA-OS: A Planetary Climate Adaptation Operating System Datasets and Benchmarks 24. UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Environments 25. GraphChase: A Platform and Benchmark for Urban Network Security Games 26. How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace 27. DCHA-UNGD: A Dataset and Benchmarks for Directed Climate--Health Attribution in UN General Debate Speeches, 1989--2024 28. OmniEarth: A Benchmark for Evaluating Vision--Language Models in Geospatial Tasks AI for Sciences

KDD 2026于2026年8月9日至13日于韩国济州(Jeju, Korea )正在举行。

本文总结了KDD 2026(February Cycle)上有关时空数据(Spatial-Temporal)的相关论文。

注 :由于时空数据的论文高达63篇,笔者将分为上下2篇推文来总结,下篇主要涉及人群移动,城市科学和气象时空等论文,包含Research ,Applied Data Science ,AI for Science 和Datasets and Benchmarks 4个Track的论文。

时空数据Topic:人群移动,城市科学(资源调度,城市区域表示),气象科学(天气预报),大模型,Agent的应用等。

Research 1. Where to Go Next: Enhancing Zero-Shot Capability for Cross-City Mobility Prediction 2. PG-DyRA: Potential-Game Guided Multi-Agent Collaboration for Dynamic Urban Resource Allocation 3. Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling 4. UrbanExpert: Task-Conditioned Multi-Modal Fusion via Semantic Expert Routing for Urban Socioeconomic Prediction 5. Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels 6. AeroWF: A Geometric Spectral-Temporal Dual-Stream Learning Framework for Aerodrome Weather Forecasting 7. TRACER: Physics-Guided Causal Evidence Construction for Zero-Shot Traffic Anomaly Diagnosis 8. Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes 9. Local Rules, Global Efficiency: Emergent Coordination on Large-Scale Road Networks 10. Low-rank Spectral Flow Matching for Human Trajectory Prediction AI for Sciences 11. The Scaling Bottleneck of Human Mobility Modeling 12. CityWeave: Weaving User Needs and World Constraints for Personalized and Reliable Mobility Planning 13. WISE: Hierarchical Worker Scheduling for Efficient Multi-Source Urban Delivery 14. Ready to Sim? Inverse Parametric Building Modeling via Universal Anchor Representation for Urban Simulation 15. Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System 16. Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation 17. Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling 18. Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction 19. RainCast: A High-Resolution 72-Hour Short-Term Precipitation Forecasting ModelApplied Data Science 20. Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting 21. LineLM: An Operational Language Model for Minimizing Expert Curation Effort in Large-Scale Geospatial Vector Lines Blue Sky Ideas 22. Episode Spaces: Mining Reusable Knowledge from Urban Simulation Corpora for Safety-Critical Decision Support 23. PCA-OS: A Planetary Climate Adaptation Operating System Datasets and Benchmarks 24. UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Environments 25. GraphChase: A Platform and Benchmark for Urban Network Security Games 26. How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace 27. DCHA-UNGD: A Dataset and Benchmarks for Directed Climate--Health Attribution in UN General Debate Speeches, 1989--2024 28. OmniEarth: A Benchmark for Evaluating Vision--Language Models in Geospatial Tasks AI for Sciences

Research

1 Where to Go Next: Enhancing Zero-Shot Capability for Cross-City Mobility Prediction

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818150++

代码 :++https://github.com/AIMUrban/ReLoX++

作者:Tianao Sun (School of Software, Shandong University); Kai Zhao (AI Research, Workday AI); Weiming Huang (School of Geography, University of Leeds); Ziqiang Yu (School of Computer and Control Engineering, Yantai University); Meng Chen (School of Software, Shandong University)

关键词:下一位置预测,人类移动性,跨城市零样本泛化,冷启动部署

2 PG-DyRA: Potential-Game Guided Multi-Agent Collaboration for Dynamic Urban Resource Allocation

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817998++

作者:Yaxin Mei (Beijing Normal University); Huiling Qin (Beijing Normal University); Chenhao Wang (Beijing Normal University); Weijia Jia (Beijing Normal University); Yu Zheng (Southwest Jiaotong University,Xidian University); Tian Wang (Beijing Normal University)

关键词:城市资源分配,势博弈,物理约束,分散式协调,城市计算

3 Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818068++

作者:Xixuan Hao (The Hong Kong University of Science and Technology (Guangzhou)); Yutian Jiang (The Hong Kong University of Science and Technology (Guangzhou)); Jiabo Liu (The Hong Kong University of Science and Technology (Guangzhou)); Yihang Yang (University of Washington); Guangyin Jin (Chang'an University); Song Gao (University of Wisconsin - Madison); Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou))

关键词:城市区域特征分析,多智能体系统,工具增强学习,智能体强化学习

4 UrbanExpert: Task-Conditioned Multi-Modal Fusion via Semantic Expert Routing for Urban Socioeconomic Prediction

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818168++

代码 :++https://github.com/AIMUrban/UrbanExpert++

作者:Zechen Li (School of Software, Shandong University); Hongwei Jia (Graduate School of Comprehensive Human Sciences, Tsukuba University); Weiming Huang (School of Geography, University of Leeds); Kai Zhao (AI Research, Workday AI); Meng Chen (School of Software, Shandong University)

关键词:城市区域嵌入,城市社会经济预测,缺失模态,多模态融合,专家混合模型

5 Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818106++

作者:Jose Marie Antonio Miñoza (Department of Education, Center for AI Research PH); Rex Gregor Laylo (Department of Education, Center for AI Research PH); Sebastian C. Ibañez (Department of Education, Center for AI Research PH)

关键词:不确定性量化,神经切线核,高斯过程,深度学习,校准,天气预报

6 AeroWF: A Geometric Spectral-Temporal Dual-Stream Learning Framework for Aerodrome Weather Forecasting

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817822++

代码 :++https://github.com/MKC-Lab/AeroWF++

作者:Xinyu Li (Beijing University of Posts and Telecommunications); Yunyi Huang (Beijing University of Posts and Telecommunications); Quan Fang (Beijing University of Posts and Telecommunications); Yang Yang (School of Electronic and Information Engineering, Beihang University); Can Zhao (AIS Department, The Key Laboratory for Civil Aviation Collaborative Air Traffic Management Technology and Applications,Aviation Data Communication Corporation); Kaiquan Cai (School of Electronic and Information Engineering, Beihang University)

关键词:机场天气预报,表征学习,预训练框架

7 TRACER: Physics-Guided Causal Evidence Construction for Zero-Shot Traffic Anomaly Diagnosis

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817778++

代码 :++https://github.com/Zzyh0208/TRACER++

作者:Yuhang Zhang (School of Software and Microelectronics, Peking University); Meng Ma (National Engineering Research Center for Software Engineering, Peking University,State Key Laboratory of Networking and Switching Technology and the National Key Laboratory of Equipment State Sensing and Smart Support); Ping Wang (National Engineering Research Center for Software Engineering, Peking University,School of Software and Microelectronics, Peking University and the Key Laboratory of High Confidence Software Technologies (PKU), Ministry of Education)

关键词:根本原因分析,LLM,城市计算,物理信息机器学习,时空数据

8 Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817889++

作者:Yueru Luo (Shenzhen Future Network of Intelligence Institute,School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen); Changqing Zhou (The Hong Kong University of Science and Technology (Guangzhou)); Yiming Yang (Shenzhen Future Network of Intelligence Institute,School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen); Erlong Li (Tencent Map, Tencent AI Lab); Chao Zheng (Tencent Map, Tencent AI Lab); Shuguang Cui (School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen,Shenzhen Future Network of Intelligence Institute); Zhen Li (School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen,Shenzhen Future Network of Intelligence Institute)

关键词:关系推理,交通拓扑推断,几何引导表示

9 Local Rules, Global Efficiency: Emergent Coordination on Large-Scale Road Networks

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818071++

代码 :++https://github.com/jessielzh/GLC-road-coordination++

作者:Zhenhui Jessie Li (Hong Kong Polytechnic University)

关键词:自动驾驶车辆、多智能体协调、道路网络、交通路径规划、涌现行为

10 Low-rank Spectral Flow Matching for Human Trajectory Prediction

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818207++

代码 :++https://github.com/renjianke-code/LR-SFM++

作者:Chaojin Mao (Department of Computer Science, University of Exeter); Jia Hu (Department of Computer Science, University of Exeter); Geyong Min (Department of Computer Science, University of Exeter)

关键词:人体轨迹预测;流匹配;频谱分析;离散余弦变换

AI for Sciences

11 The Scaling Bottleneck of Human Mobility Modeling

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818976++

代码 :++https://fukamaru.github.io/human-mobility-scaling-bottleneck++

作者:Lifeng Lin (The University of Tokyo); Hangli Ge (The University of Tokyo); Xiang Zhang (China University of Geoscience); Yao Yao (China University of Geoscience,Hitotsubashi University); Kazuma Hatano (The University of Tokyo); Ryosuke Shibasaki (Reitaku University,LocationMind Inc.); Noboru Koshizuka (The University of Tokyo)

关键词:人类移动性,基础模型,神经缩放定律

12 CityWeave: Weaving User Needs and World Constraints for Personalized and Reliable Mobility Planning

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818979++

作者:Ao Wang (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University,College of Transportation, Tongji University); Zhiwen Chen (Robotics and Autonomous Systems, The Hong Kong University of Science and Technology (Guangzhou)); Shen Wang (Department of computing, Hong Kong Polytechnic University); Qiang Xia (Urban Mobility Institution, Tongji University); Yi Zhou (Urban Mobility Institute, Tongji University); Jian Li (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University,College of Transportation, Tongji University)

关键词:移动性规划,视觉语言模型,智能体强化学习

13 WISE: Hierarchical Worker Scheduling for Efficient Multi-Source Urban Delivery

链接 :++https://dl.acm.org/doi/10.1145/3770855.3819060++

作者:Wenjun Lyu (Rutgers University,JD Logistics); Fangyu Li (Huazhong University of Science and Technology); Shanshan Wang (Rutgers University); Yikang Zhang (Rutgers University); Haotian Wang (JD Logistics); Yunhuai Liu (Peking University); Tian He (JD Logistics); Desheng Zhang (Rutgers University)

关键词:工人调度,城市配送,强化学习

14 Ready to Sim? Inverse Parametric Building Modeling via Universal Anchor Representation for Urban Simulation

链接 :++https://dl.acm.org/doi/10.1145/3770855.3819045++

代码 :++https://github.com/jeju-jykim/Ready2Sim-Inverse-Parametric-Building-Modeling-for-Urban-Simulation++

作者:Jaeyeon Kim (Institute of High Performance Computing, A*STAR,Centre for Frontier AI Research, A*STAR); Po-Yen Lai (Institute of High Performance Computing, A*STAR); Jian Cheng Wong (Institute of High Performance Computing, A*STAR); Chin Chun Ooi (Institute of High Performance Computing, A*STAR,Centre for Frontier AI Research, A*STAR); Yew-Soon Ong (Nanyang Technological University,Institute of High Performance Computing, A*STAR); Ivor Tsang (Institute of High Performance Computing, A*STAR,Centre for Frontier AI Research, A*STAR)

关键词:城市规划人工智能,基于物理的仿真,视觉语言模型,程序建模,计算设计

15 Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818964++

代码 :++https://github.com/thunderlrr/Cooperative-Air-Ground-Delivery++

作者:Songxin Lei (The Hong Kong University of Science and Technology (Guangzhou)); Chunming Ma (The Hong Kong University of Science and Technology (Guangzhou)); Haomin Wen (Carnegie Mellon University); Yexin Li (Beijing Institute for General Artificial Intelligence); Lizhenghe Chen (The Hong Kong University of Science and Technology (Guangzhou)); Qianyu Yang (Beijing Institute of Technology); Fugee Tsung (The Hong Kong University of Science and Technology); Lei Chen (The Hong Kong University of Science and Technology (Guangzhou)); Sijie Ruan (Beijing Institute of Technology); Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou))

关键词:空地协同配送,分层强化学习,订单调度,城市计算,人工智能

16 Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818944++

代码 :++https://github.com/tsinghua-fib-lab/OpenCity++

作者:Qingbin Zeng (Department of Electronic Engineering, BNRist, Tsinghua University); Yuwei Yan (Hong Kong University of Science and Technology (GuangZhou)); Zhiheng Zheng (Shenzhen International Graduate School, Tsinghua University); Jingzhe Yuan (Department of Electronic Engineering, BNRist, Tsinghua University); Jun Zhang (Department of Electronic Engineering, BNRist, Tsinghua University); Jie Feng (Zhongguancun Academy); Fengli Xu (Department of Electronic Engineering, BNRist, Tsinghua University); James Evans (Department of Sociology, University of Chicago); Yong Li (Department of Electronic Engineering, BNRist, Tsinghua University)

关键词:生成建模,基于智能体的仿真,LLM(LLM),LLM Agent,效率,城市仿真

17 Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818855++

代码 :++https://github.com/DAMO-DI-ML/Baguan-Regional++

作者:Wenwei Wang (DAMO Academy, Alibaba Group); Weiqi Chen (DAMO Academy, Alibaba Group); Qilong Yuan (DAMO Academy, Alibaba Group,Northwestern Polytechnical University); Lefei Shen (DAMO Academy, Alibaba Group,Zhejiang University); Bingqing Peng (DAMO Academy, Alibaba Group); Jiawei Chen (DAMO Academy, Alibaba Group,Zhejiang University); Bo Wu (Institute of Atmospheric Physics, Chinese Academy of Sciences); Liang Sun (DAMO Academy, Alibaba Group)

关键词:区域天气预报,降尺度,深度神经网络

18 Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818905++

代码 :++https://github.com/shawn-sypiao/GWPF++

作者:Shiyuan Piao (The Hong Kong University of Science and Technology); Zehui Fan (Faculty of Engineering, The Chinese University of Hong Kong); Yang Liu (The Chinese University of Hong Kong); Hong Cheng (The Chinese University of Hong Kong); Juepeng Zheng (Sun Yat-Sen University); Jie Zhou (Tsinghua University,Goldwind Science & Technology Co.,Ltd); Fugee Tsung (The Hong Kong University of Science and Technology)

关键词:风力发电预测,傅里叶神经网络算子

19 RainCast: A High-Resolution 72-Hour Short-Term Precipitation Forecasting Model

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818880++

作者:Guanlong Ma (State Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University,School of Atmospheric Sciences, Nanjing University); Weiqi Chen (DAMO Academy, Alibaba Group); Yang Zhao (State Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University,School of Atmospheric Sciences, Nanjing University); Huiling Yuan (State Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University,School of Atmospheric Sciences, Nanjing University); Liang Sun (DAMO Academy, Alibaba Group)

关键词:短期降水预报,物理引导特征抽取,概率预报,高分辨率预报

Applied Data Science

20 Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818436++

代码 :++https://github.com/DAMO-DI-ML/Baguan-solar++

作者:Ziqing Ma (DAMO Academy, Alibaba Group); Kai Ying (DAMO Academy, Alibaba Group,College of Computer Science, Zhejiang University of Technology); Xinyue Gu (DAMO Academy, Alibaba Group); Tian Zhou (DAMO Academy, Alibaba Group); Tianyu Zhu (DAMO Academy, Alibaba Group,National University of Singapore); Haifan Zhang (DAMO Academy, Alibaba Group); Peisong Niu (DAMO Academy, Alibaba Group); Zheng Wang (College of Computer Science, Zhejiang University of Technology); Cong Bai (College of Computer Science, Zhejiang University of Technology,Zhejiang Key Laboratory of Visual Information Intelligent Processing); Liang Sun (DAMO Academy, Alibaba Group)

关键词:太阳辐照度预测,天气基础模型,多模态融合,卫星图像,Swin Transformer

21 LineLM: An Operational Language Model for Minimizing Expert Curation Effort in Large-Scale Geospatial Vector Lines

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818441++

代码 :++https://github.com/knowledge-computing/LineLM++

作者:Weiwei Duan (Inferlink Corporation); Yao-Yi Chiang (University of Minnesota)

关键词:语言模型,地理空间矢量数据,线性目标检测,地图数字化

Blue Sky Ideas

22 Episode Spaces: Mining Reusable Knowledge from Urban Simulation Corpora for Safety-Critical Decision Support

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818649++

作者:Roman Sultimov (MSU,MIRAI); Efimov Daniil (NITU MISIS); Mikhail Kuzin (NITU MISIS); Ivan Novikov (MSU,MIRAI); Roman Dvoryankov (MSU); Egor Suraveikin (MSU,MIRAI)

关键词:情景空间,城市疏散,安全关键型人工智能

23 PCA-OS: A Planetary Climate Adaptation Operating System

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818654++

代码 :++https://github.com/ChaoYue0307/PCA-OS-KDD26++

作者:Chaoyue He (Nanyang Technological University); Xin Zhou (Nanyang Technological University); Di Wang (Nanyang Technological University); Hong Xu (Nanyang Technological University); Wei Liu (Alibaba Group); Chunyan Miao (Nanyang Technological University)

关键词:气候适应,世界模型,持续学习,因果推理,基础模型,鲁棒优化决策支持

Datasets and Benchmarks

24 UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Environments

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817458++

代码 :++https://github.com/Jaygagaga/UGE/tree/main++

作者:Jie Zhang (National University of Singapore); Xingtong Yu (The Chinese University of Hong Kong); Yuan Fang (Singapore Management University); Rudi Stouffs (National University of Singapore); Zdravko Trivic (National University of Singapore)

关键词:城市计算,多模态学习,空间图

25 GraphChase: A Platform and Benchmark for Urban Network Security Games

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817540++

作者:Shuxin Zhuang (City University of Hong Kong,CAIR, Hong Kong Institute of Science & Innovation, CAS); Shuxin Li (Nanyang Technological University); Tianji Yang (Georgia Institute of Technology); Muheng Li (University of Toronto); Xianjie Shi (The University of Hong Kong); Bo An (Nanyang Technological University); Youzhi Zhang (CAIR, Hong Kong Institute of Science & Innovation, CAS)

关键词:安全游戏,多人游戏

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817501++

代码 :++http://github.com/EmbodiedCity/EmbodiedNav-Bench++

作者:Baining Zhao (Shenzhen International Graduate School, Tsinghua University); Ziyou Wang (Northeastern University); Jianjie Fang (Shenzhen International Graduate School, Tsinghua University); Zile Zhou (Shenzhen International Graduate School, Tsinghua University); Yanggang Xu (Shenzhen International Graduate School, Tsinghua University); Yatai Ji (State Key Laboratory of Digital Intelligent Modeling and Simulation, National University of Defense Technology); Jiacheng Xu (Shandong University); Qian Zhang (Shenzhen International Graduate School, Tsinghua University); Weichen Zhang (Shenzhen International Graduate School, Tsinghua University); Chen Gao (BNRist, Tsinghua University); Xinlei Chen (Shenzhen International Graduate School, Tsinghua University)

关键词:具身智能,基础模型,城市空域

27 DCHA-UNGD: A Dataset and Benchmarks for Directed Climate--Health Attribution in UN General Debate Speeches, 1989--2024

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817597++

代码 :++https://github.com/sjankin/dcha-ungd++

作者:Hannah Bechara (Data Science Lab, Hertie School of Governance); Krishnamoorthy Manohara (Data Science Lab, Hertie School of Governance); Niheer Dasandi (Government, University of Birmingham); Slava Jankin (Centre for AI in Government, University of Birmingham)

关键词:数据集,基准测试,因果关系抽取,政治文本,气候变化,公共卫生,联合国一般性辩论,负面控制

28 OmniEarth: A Benchmark for Evaluating Vision--Language Models in Geospatial Tasks

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817467++

代码 :++https://huggingface.co/datasets/sjeeudd/OmniEarth++

作者:Ronghao Fu (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Haoran Liu (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Weijie Zhang (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Zhiwen Lin (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Xiao Yang (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Peng Zhang (Chang Guang Satellite Technology); Bo Yang (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University)

关键词:数据集和基准测试,遥感,视觉语言模型

Research

1 Where to Go Next: Enhancing Zero-Shot Capability for Cross-City Mobility Prediction

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818150++

代码 :++https://github.com/AIMUrban/ReLoX++

作者:Tianao Sun (School of Software, Shandong University); Kai Zhao (AI Research, Workday AI); Weiming Huang (School of Geography, University of Leeds); Ziqiang Yu (School of Computer and Control Engineering, Yantai University); Meng Chen (School of Software, Shandong University)

关键词:下一位置预测,人类移动性,跨城市零样本泛化,冷启动部署

2 PG-DyRA: Potential-Game Guided Multi-Agent Collaboration for Dynamic Urban Resource Allocation

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817998++

作者:Yaxin Mei (Beijing Normal University); Huiling Qin (Beijing Normal University); Chenhao Wang (Beijing Normal University); Weijia Jia (Beijing Normal University); Yu Zheng (Southwest Jiaotong University,Xidian University); Tian Wang (Beijing Normal University)

关键词:城市资源分配,势博弈,物理约束,分散式协调,城市计算

3 Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818068++

作者:Xixuan Hao (The Hong Kong University of Science and Technology (Guangzhou)); Yutian Jiang (The Hong Kong University of Science and Technology (Guangzhou)); Jiabo Liu (The Hong Kong University of Science and Technology (Guangzhou)); Yihang Yang (University of Washington); Guangyin Jin (Chang'an University); Song Gao (University of Wisconsin - Madison); Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou))

关键词:城市区域特征分析,多智能体系统,工具增强学习,智能体强化学习

4 UrbanExpert: Task-Conditioned Multi-Modal Fusion via Semantic Expert Routing for Urban Socioeconomic Prediction

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818168++

代码 :++https://github.com/AIMUrban/UrbanExpert++

作者:Zechen Li (School of Software, Shandong University); Hongwei Jia (Graduate School of Comprehensive Human Sciences, Tsukuba University); Weiming Huang (School of Geography, University of Leeds); Kai Zhao (AI Research, Workday AI); Meng Chen (School of Software, Shandong University)

关键词:城市区域嵌入,城市社会经济预测,缺失模态,多模态融合,专家混合模型

5 Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818106++

作者:Jose Marie Antonio Miñoza (Department of Education, Center for AI Research PH); Rex Gregor Laylo (Department of Education, Center for AI Research PH); Sebastian C. Ibañez (Department of Education, Center for AI Research PH)

关键词:不确定性量化,神经切线核,高斯过程,深度学习,校准,天气预报

6 AeroWF: A Geometric Spectral-Temporal Dual-Stream Learning Framework for Aerodrome Weather Forecasting

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817822++

代码 :++https://github.com/MKC-Lab/AeroWF++

作者:Xinyu Li (Beijing University of Posts and Telecommunications); Yunyi Huang (Beijing University of Posts and Telecommunications); Quan Fang (Beijing University of Posts and Telecommunications); Yang Yang (School of Electronic and Information Engineering, Beihang University); Can Zhao (AIS Department, The Key Laboratory for Civil Aviation Collaborative Air Traffic Management Technology and Applications,Aviation Data Communication Corporation); Kaiquan Cai (School of Electronic and Information Engineering, Beihang University)

关键词:机场天气预报,表征学习,预训练框架

7 TRACER: Physics-Guided Causal Evidence Construction for Zero-Shot Traffic Anomaly Diagnosis

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817778++

代码 :++https://github.com/Zzyh0208/TRACER++

作者:Yuhang Zhang (School of Software and Microelectronics, Peking University); Meng Ma (National Engineering Research Center for Software Engineering, Peking University,State Key Laboratory of Networking and Switching Technology and the National Key Laboratory of Equipment State Sensing and Smart Support); Ping Wang (National Engineering Research Center for Software Engineering, Peking University,School of Software and Microelectronics, Peking University and the Key Laboratory of High Confidence Software Technologies (PKU), Ministry of Education)

关键词:根本原因分析,LLM,城市计算,物理信息机器学习,时空数据

8 Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817889++

作者:Yueru Luo (Shenzhen Future Network of Intelligence Institute,School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen); Changqing Zhou (The Hong Kong University of Science and Technology (Guangzhou)); Yiming Yang (Shenzhen Future Network of Intelligence Institute,School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen); Erlong Li (Tencent Map, Tencent AI Lab); Chao Zheng (Tencent Map, Tencent AI Lab); Shuguang Cui (School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen,Shenzhen Future Network of Intelligence Institute); Zhen Li (School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen,Shenzhen Future Network of Intelligence Institute)

关键词:关系推理,交通拓扑推断,几何引导表示

9 Local Rules, Global Efficiency: Emergent Coordination on Large-Scale Road Networks

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818071++

代码 :++https://github.com/jessielzh/GLC-road-coordination++

作者:Zhenhui Jessie Li (Hong Kong Polytechnic University)

关键词:自动驾驶车辆、多智能体协调、道路网络、交通路径规划、涌现行为

10 Low-rank Spectral Flow Matching for Human Trajectory Prediction

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818207++

代码 :++https://github.com/renjianke-code/LR-SFM++

作者:Chaojin Mao (Department of Computer Science, University of Exeter); Jia Hu (Department of Computer Science, University of Exeter); Geyong Min (Department of Computer Science, University of Exeter)

关键词:人体轨迹预测;流匹配;频谱分析;离散余弦变换

AI for Sciences

11 The Scaling Bottleneck of Human Mobility Modeling

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818976++

代码 :++https://fukamaru.github.io/human-mobility-scaling-bottleneck++

作者:Lifeng Lin (The University of Tokyo); Hangli Ge (The University of Tokyo); Xiang Zhang (China University of Geoscience); Yao Yao (China University of Geoscience,Hitotsubashi University); Kazuma Hatano (The University of Tokyo); Ryosuke Shibasaki (Reitaku University,LocationMind Inc.); Noboru Koshizuka (The University of Tokyo)

关键词:人类移动性,基础模型,神经缩放定律

12 CityWeave: Weaving User Needs and World Constraints for Personalized and Reliable Mobility Planning

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818979++

作者:Ao Wang (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University,College of Transportation, Tongji University); Zhiwen Chen (Robotics and Autonomous Systems, The Hong Kong University of Science and Technology (Guangzhou)); Shen Wang (Department of computing, Hong Kong Polytechnic University); Qiang Xia (Urban Mobility Institution, Tongji University); Yi Zhou (Urban Mobility Institute, Tongji University); Jian Li (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University,College of Transportation, Tongji University)

关键词:移动性规划,视觉语言模型,智能体强化学习

13 WISE: Hierarchical Worker Scheduling for Efficient Multi-Source Urban Delivery

链接 :++https://dl.acm.org/doi/10.1145/3770855.3819060++

作者:Wenjun Lyu (Rutgers University,JD Logistics); Fangyu Li (Huazhong University of Science and Technology); Shanshan Wang (Rutgers University); Yikang Zhang (Rutgers University); Haotian Wang (JD Logistics); Yunhuai Liu (Peking University); Tian He (JD Logistics); Desheng Zhang (Rutgers University)

关键词:工人调度,城市配送,强化学习

14 Ready to Sim? Inverse Parametric Building Modeling via Universal Anchor Representation for Urban Simulation

链接 :++https://dl.acm.org/doi/10.1145/3770855.3819045++

代码 :++https://github.com/jeju-jykim/Ready2Sim-Inverse-Parametric-Building-Modeling-for-Urban-Simulation++

作者:Jaeyeon Kim (Institute of High Performance Computing, A*STAR,Centre for Frontier AI Research, A*STAR); Po-Yen Lai (Institute of High Performance Computing, A*STAR); Jian Cheng Wong (Institute of High Performance Computing, A*STAR); Chin Chun Ooi (Institute of High Performance Computing, A*STAR,Centre for Frontier AI Research, A*STAR); Yew-Soon Ong (Nanyang Technological University,Institute of High Performance Computing, A*STAR); Ivor Tsang (Institute of High Performance Computing, A*STAR,Centre for Frontier AI Research, A*STAR)

关键词:城市规划人工智能,基于物理的仿真,视觉语言模型,程序建模,计算设计

15 Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818964++

代码 :++https://github.com/thunderlrr/Cooperative-Air-Ground-Delivery++

作者:Songxin Lei (The Hong Kong University of Science and Technology (Guangzhou)); Chunming Ma (The Hong Kong University of Science and Technology (Guangzhou)); Haomin Wen (Carnegie Mellon University); Yexin Li (Beijing Institute for General Artificial Intelligence); Lizhenghe Chen (The Hong Kong University of Science and Technology (Guangzhou)); Qianyu Yang (Beijing Institute of Technology); Fugee Tsung (The Hong Kong University of Science and Technology); Lei Chen (The Hong Kong University of Science and Technology (Guangzhou)); Sijie Ruan (Beijing Institute of Technology); Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou))

关键词:空地协同配送,分层强化学习,订单调度,城市计算,人工智能

16 Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818944++

代码 :++https://github.com/tsinghua-fib-lab/OpenCity++

作者:Qingbin Zeng (Department of Electronic Engineering, BNRist, Tsinghua University); Yuwei Yan (Hong Kong University of Science and Technology (GuangZhou)); Zhiheng Zheng (Shenzhen International Graduate School, Tsinghua University); Jingzhe Yuan (Department of Electronic Engineering, BNRist, Tsinghua University); Jun Zhang (Department of Electronic Engineering, BNRist, Tsinghua University); Jie Feng (Zhongguancun Academy); Fengli Xu (Department of Electronic Engineering, BNRist, Tsinghua University); James Evans (Department of Sociology, University of Chicago); Yong Li (Department of Electronic Engineering, BNRist, Tsinghua University)

关键词:生成建模,基于智能体的仿真,LLM(LLM),LLM Agent,效率,城市仿真

17 Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818855++

代码 :++https://github.com/DAMO-DI-ML/Baguan-Regional++

作者:Wenwei Wang (DAMO Academy, Alibaba Group); Weiqi Chen (DAMO Academy, Alibaba Group); Qilong Yuan (DAMO Academy, Alibaba Group,Northwestern Polytechnical University); Lefei Shen (DAMO Academy, Alibaba Group,Zhejiang University); Bingqing Peng (DAMO Academy, Alibaba Group); Jiawei Chen (DAMO Academy, Alibaba Group,Zhejiang University); Bo Wu (Institute of Atmospheric Physics, Chinese Academy of Sciences); Liang Sun (DAMO Academy, Alibaba Group)

关键词:区域天气预报,降尺度,深度神经网络

18 Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818905++

代码 :++https://github.com/shawn-sypiao/GWPF++

作者:Shiyuan Piao (The Hong Kong University of Science and Technology); Zehui Fan (Faculty of Engineering, The Chinese University of Hong Kong); Yang Liu (The Chinese University of Hong Kong); Hong Cheng (The Chinese University of Hong Kong); Juepeng Zheng (Sun Yat-Sen University); Jie Zhou (Tsinghua University,Goldwind Science & Technology Co.,Ltd); Fugee Tsung (The Hong Kong University of Science and Technology)

关键词:风力发电预测,傅里叶神经网络算子

19 RainCast: A High-Resolution 72-Hour Short-Term Precipitation Forecasting Model

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818880++

作者:Guanlong Ma (State Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University,School of Atmospheric Sciences, Nanjing University); Weiqi Chen (DAMO Academy, Alibaba Group); Yang Zhao (State Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University,School of Atmospheric Sciences, Nanjing University); Huiling Yuan (State Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University,School of Atmospheric Sciences, Nanjing University); Liang Sun (DAMO Academy, Alibaba Group)

关键词:短期降水预报,物理引导特征抽取,概率预报,高分辨率预报

Applied Data Science

20 Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818436++

代码 :++https://github.com/DAMO-DI-ML/Baguan-solar++

作者:Ziqing Ma (DAMO Academy, Alibaba Group); Kai Ying (DAMO Academy, Alibaba Group,College of Computer Science, Zhejiang University of Technology); Xinyue Gu (DAMO Academy, Alibaba Group); Tian Zhou (DAMO Academy, Alibaba Group); Tianyu Zhu (DAMO Academy, Alibaba Group,National University of Singapore); Haifan Zhang (DAMO Academy, Alibaba Group); Peisong Niu (DAMO Academy, Alibaba Group); Zheng Wang (College of Computer Science, Zhejiang University of Technology); Cong Bai (College of Computer Science, Zhejiang University of Technology,Zhejiang Key Laboratory of Visual Information Intelligent Processing); Liang Sun (DAMO Academy, Alibaba Group)

关键词:太阳辐照度预测,天气基础模型,多模态融合,卫星图像,Swin Transformer

21 LineLM: An Operational Language Model for Minimizing Expert Curation Effort in Large-Scale Geospatial Vector Lines

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818441++

代码 :++https://github.com/knowledge-computing/LineLM++

作者:Weiwei Duan (Inferlink Corporation); Yao-Yi Chiang (University of Minnesota)

关键词:语言模型,地理空间矢量数据,线性目标检测,地图数字化

Blue Sky Ideas

22 Episode Spaces: Mining Reusable Knowledge from Urban Simulation Corpora for Safety-Critical Decision Support

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818649++

作者:Roman Sultimov (MSU,MIRAI); Efimov Daniil (NITU MISIS); Mikhail Kuzin (NITU MISIS); Ivan Novikov (MSU,MIRAI); Roman Dvoryankov (MSU); Egor Suraveikin (MSU,MIRAI)

关键词:情景空间,城市疏散,安全关键型人工智能

23 PCA-OS: A Planetary Climate Adaptation Operating System

链接 :++https://dl.acm.org/doi/10.1145/3770855.3818654++

代码 :++https://github.com/ChaoYue0307/PCA-OS-KDD26++

作者:Chaoyue He (Nanyang Technological University); Xin Zhou (Nanyang Technological University); Di Wang (Nanyang Technological University); Hong Xu (Nanyang Technological University); Wei Liu (Alibaba Group); Chunyan Miao (Nanyang Technological University)

关键词:气候适应,世界模型,持续学习,因果推理,基础模型,鲁棒优化决策支持

Datasets and Benchmarks

24 UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Environments

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817458++

代码 :++https://github.com/Jaygagaga/UGE/tree/main++

作者:Jie Zhang (National University of Singapore); Xingtong Yu (The Chinese University of Hong Kong); Yuan Fang (Singapore Management University); Rudi Stouffs (National University of Singapore); Zdravko Trivic (National University of Singapore)

关键词:城市计算,多模态学习,空间图

25 GraphChase: A Platform and Benchmark for Urban Network Security Games

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817540++

作者:Shuxin Zhuang (City University of Hong Kong,CAIR, Hong Kong Institute of Science & Innovation, CAS); Shuxin Li (Nanyang Technological University); Tianji Yang (Georgia Institute of Technology); Muheng Li (University of Toronto); Xianjie Shi (The University of Hong Kong); Bo An (Nanyang Technological University); Youzhi Zhang (CAIR, Hong Kong Institute of Science & Innovation, CAS)

关键词:安全游戏,多人游戏

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817501++

代码 :++http://github.com/EmbodiedCity/EmbodiedNav-Bench++

作者:Baining Zhao (Shenzhen International Graduate School, Tsinghua University); Ziyou Wang (Northeastern University); Jianjie Fang (Shenzhen International Graduate School, Tsinghua University); Zile Zhou (Shenzhen International Graduate School, Tsinghua University); Yanggang Xu (Shenzhen International Graduate School, Tsinghua University); Yatai Ji (State Key Laboratory of Digital Intelligent Modeling and Simulation, National University of Defense Technology); Jiacheng Xu (Shandong University); Qian Zhang (Shenzhen International Graduate School, Tsinghua University); Weichen Zhang (Shenzhen International Graduate School, Tsinghua University); Chen Gao (BNRist, Tsinghua University); Xinlei Chen (Shenzhen International Graduate School, Tsinghua University)

关键词:具身智能,基础模型,城市空域

27 DCHA-UNGD: A Dataset and Benchmarks for Directed Climate--Health Attribution in UN General Debate Speeches, 1989--2024

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817597++

代码 :++https://github.com/sjankin/dcha-ungd++

作者:Hannah Bechara (Data Science Lab, Hertie School of Governance); Krishnamoorthy Manohara (Data Science Lab, Hertie School of Governance); Niheer Dasandi (Government, University of Birmingham); Slava Jankin (Centre for AI in Government, University of Birmingham)

关键词:数据集,基准测试,因果关系抽取,政治文本,气候变化,公共卫生,联合国一般性辩论,负面控制

28 OmniEarth: A Benchmark for Evaluating Vision--Language Models in Geospatial Tasks

链接 :++https://dl.acm.org/doi/10.1145/3770855.3817467++

代码 :++https://huggingface.co/datasets/sjeeudd/OmniEarth++

作者:Ronghao Fu (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Haoran Liu (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Weijie Zhang (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Zhiwen Lin (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Xiao Yang (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University); Peng Zhang (Chang Guang Satellite Technology); Bo Yang (College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University)

关键词:数据集和基准测试,遥感,视觉语言模型

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