ICDE 2026 | 时空数据（Spatial-Temporal）论文总结（时空预测，POI推荐，轨迹，空间众包等）

ICDE 2026在2026年5月4日至8日在加拿大蒙特利尔（Montréal, Canada）举行。

本文总结了ICDE 2026有关时空数据（Spatial Temporal）的Research Track相关文章，共计21篇。

ICDE 2026录用列表：https://icde2026.github.io/accepted-papers.html

时空数据Topic：时空预测，POI推荐，用户轨迹链接（TUL），地图匹配，空间众包，空间索引，空间数据管理等

点击文末阅读原文跳转笔者知乎链接（跳转论文链接更方便）

1 Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression

链接：https://arxiv.org/abs/2603.10410

作者：Taehyung Kwon (KAIST); Yeonje Choi (KAIST); Yeongho Kim (KAIST); Kijung Shin (KAIST)*

关键词：数据集蒸馏，时空预测

2 Time-varying Vector Field Compression with Preserved Critical Point Trajectories

链接：https://arxiv.org/abs/2510.25143

作者：Mingze Xia (Oregon State University); Yuxiao Li (The Ohio State University); Pu Jiao (University of Kentucky); Bei Wang (University of Utah); Xin Liang (Oregon State University)*; Hanqi Guo (The Ohio State University)

关键词：科学数据、时空数据压缩、特征保持、临界点轨迹

3 Geography-Aware Large Language Model for Next POI Recommendation

链接：https://arxiv.org/abs/2505.13526

作者：Wei Liu (Sun Yat-Sen University)*; Zhao Liu (Sun Yat-sen University); Muzu Xie (Sun Yat-sen University); Huaijie Zhu (Sun Yat-sen University); Jianxing Yu (Sun Yat-sen University); Jian Yin (Sun Yat-sen University); Wang-Chien Lee (The Pennsylvania State University)

关键词：POI推荐，地理感知，LLM

4 Online Multi-Modal Spatio-Temporal Prediction: A Reinforcement Learning and Dynamic Contrastive Framework

作者：Ziquan Fang (Zhejiang University)*; Tinghui Luo (Zhejiang University); Xiaole Pan (Zhejiang University); Lu Chen (Zhejiang University); Surun Ji (iQIYI Inc); Mingfan Lu (iQIYI Inc)

关键词：在线多模态时空预测，强化学习

5 VisiFold: Long-Term Traffic Forecasting via Temporal Folding Graph and Node Visibility

链接：https://arxiv.org/abs/2603.11816

作者：Zhiwei Zhang (Beijing Jiaotong University)*; Xinyi Du (Beijing Normal University); Weihao Wang (Beijing Jiaotong University); Xuanchi Guo (Beijing Jiaotong University); Wenjuan Han (Beijing Jiaotong University)

关键词：长程时空预测

祝贺 | 实验室韩文娟副教授团队论文被数据库和数据工程领域顶级会议ICDE 2026录用

6 Robust Spatial-Temporal Similar Trajectory Search via Structure-Enhanced Domain-Invariant Learning

作者：Xiaolin Han (Northwestern Polytechnical University)*; Yonghao Zhou (Northwestern Polytechnical University); Chenhao Ma (Chinese University of Hong Kong, Shenzhen); Lingyun Song (Northwestern Polytechnical University ); Xinbiao Gan (National University of Defense Technology); Xuequn Shang (Northwestern Polytechnical University )

关键词：轨迹相似度搜索，稳健性

7 Data-Segmentation Prompt based Continual Learning Framework for Online Spatio-Temporal Prediction

作者：Banglie Yang (Sichuan University); Liwei Deng (Aalborg University)*; Cheng Dai (Sichuan University); Kai Zheng (University of Electronic Science and Technology of China)

关键词：在线时空预测，持续学习

8 DNA: A Distribution-and-Aggregation Solution for Spatiotemporal K-function-based Analysis

作者：Tsz Nam Chan (Shenzhen University)*; Bojian Zhu ( Hong Kong Baptist University); Dingming Wu (Shenzhen University); Renchi Yang ( Hong Kong Baptist University); Ruisheng Wang (Shenzhen University)

关键词：时空k函数分析

9 RISK: Efficiently processing rich spatial-keyword queries on encrypted geo-textual data

链接：https://arxiv.org/abs/2602.20952

作者：Zhen Lv (Xidian University); Cong Cao (Xidian University); Hongwei Huo (Xidian University); Jiangtao Cui (Xidian University); Yanguo Peng (Xidian University)*; Hui Li (Xidian University); Yingfan Liu (Xidian University)

关键词：空间查询，安全索引，地理文本数据

10 FedCurrMM: A Federated Map Matching Framework with Curriculum-aware Client Selection

作者：Minxiao Chen (Beijing University of Posts and Telecommunications)*; Haitao Yuan (Nanyang Technological University); Haoning Wang (National University of Singapore); Nan Jiang (Nanyang Technological University); Zhihan Zheng (Beijing University of Posts and Telecommunications); Ao Zhou (Beijing University of Posts and Telecommunications); Shangguang Wang (State Key Laboratory of Networking and Switching Technology)

关键词：联邦地图匹配

11 Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution

作者：Kaiqi Wu (Sun Yat-Sen University); Weiyang Kong (Sun Yat-Sen University); Sen Zhang (Sun Yat-Sen University); Zitong Chen (Sun Yat-Sen University); Yubao Liu (Sun Yat-Sen University)*

关键词：高效交通预测，大规模路网，自适应图卷积

12 Efficient Model-Agnostic Continual Learning for Next POI Recommendation

链接：https://arxiv.org/abs/2511.08941

作者：Chenhao Wang (UESTC)*; Shanshan Feng (Wuhan University); Lisi Chen (UESTC); Fan Li (The Hong Kong Polytechnic University); Shuo Shang (UESTC)

关键词：POI推荐，模型无关，持续学习

13 Trajectory–User Linking via Heterogeneous Preference Graph and Dual-Encoder Mutual Distillation

作者：ZEMING TIAN (Sun Yat-sen University); Zixin Qin (Sun Yat-sen University); Huaijie Zhu (Sun Yat-sen University)*; Ningning Cui (Chang'an University); Wei Liu (Sun Yat-sen University); Jianxing Yu (Sun Yat-sen University); Jian Yin (Sun Yat-sen University)

关键词：用户轨迹链接（TUL），相互蒸馏，异质图

14 TransLGX: A Self-contained Model to Predict the Entire Lifecycle and complete state of Logistics Package Trajectories

作者：Yichen Song (Zhejiang Universitiy); Jianfeng Zhou (Bytedance); Jian-Ya Ding (Bytedance)*; Renhao Cao (Bytedance)

关键词：预测物流包裹轨迹

15 Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction

链接：https://arxiv.org/abs/2506.18939

作者：Rui AN (The Hong Kong Polytechnic University)*; Yifeng Zhang ( The Hong Kong Polytechnic University); Ziran Liang (The Hong Kong Polytechnic University); Wenqi Fan (The Hong Kong Polytechnic University); Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou)); Xuequn Shang (Northwestern Polytechnical University); Qing Li (The Hong Kong Polytechnic University)

关键词：时空预测，mamba,域适应

16 Spatiotemporal Sketch Disaggregation: Streaming Analytics with Heterogeneous Resources

作者：Jonatan Langlet (KTH Royal Institute of Technology)*; Peiqing Chen (University of Maryland, College Park); Michael Mitzenmacher (Harvard University); Zaoxing Liu (University of Maryland, College Park); Ran Ben Basat (University College London); Gianni Antichi (Politecnico di Milano)

关键词：Sketch

17 [Experiment, Analysis, and Benchmark] Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned Counterparts

链接：https://arxiv.org/abs/2512.11161

作者：Guanli Liu (The University of Melbourne)*; Renata Borovica-Gajic (The University of Melbourne); Hai Lan (RMIT University); Zhifeng Bao (RMIT University)

关键词：空间索引，强化学习，benchmark

18 SOLAR: Scalable Distributed Spatial Joins through Learning-based Optimization

链接：https://arxiv.org/abs/2504.01292

作者：Yongyi Liu (University of California, Riverside)*; Ahmed Abdelmaguid (University of California, Riverside); Ahmed Mohamood (Google LLC); Amr Magdy (University of California, Riverside); Minyao Zhu (Google LLC)

关键词：空间连接，空间数据库

19 High-Fidelity Task Assignment in Spatial Crowdsourcing via Implicit Human Feedback

作者：Qingshun Wu (Zhengzhou University); Yafei Li (Zhengzhou University)*; Lei Gao (Zhengzhou University); Guanglei Zhu (Zhengzhou University); Lei Chen (Beijing Institute of Technology); Mingliang Xu (Zhengzhou University)

20 OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models

链接：https://arxiv.org/abs/2512.04738

作者：Zhuoyue WAN (The Hong Kong Polytechnic University); Wentao Hu (The Hong Kong Polytechnic University); Chen Jason Zhang (The Hong Kong Polytechnic University); Yuanfeng Song (ByteDance)*; Shuaimin Li (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Ruiqiang Xiao (The Hong Kong University of Science and Technology); Xiao-Yong Wei (The Hong Kong Polytechnic University); Raymond Chi-Wing Wong (The Hong Kong University of Science and Technology)

关键词：结构化查询生成、自然语言接口、文本到 OverpassQL、OverpassQL 到文本、语言模型

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21 Balancing Competition for Fairness-aware Task Assignment in Spatial Crowdsourcing

作者：Jinwen Chen (University of Electronic Science and Technology of China)*; Hao Miao (The Hong Kong Polytechnic University); Lei Jia (University of Electronic Science and Technology of China); Guangqiang Yin (University of Electronic Science and Technology of China); Yan Zhao (Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China); Kai Zheng ( University of Electronic Science and Technology of China)

关键词：公平感知的任务分配，空间众包