ICDE 2026 | 【第1轮】时空数据（Spatial-Temporal）论文总结（预测，众包，空间索引等）

时空探索之旅

发布于 2026-03-10 15:12:34

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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第一轮（round 1）有关时空数据（Spatial Temporal）的Research Track相关文章，共计8篇。

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

1. Spatiotemporal Sketch Disaggregation: Streaming Analytics with Heterogeneous Resources2. [Experiment, Analysis, and Benchmark] Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned Counterparts3. SOLAR: Scalable Distributed Spatial Joins through Learning-based Optimization4. High-Fidelity Task Assignment in Spatial Crowdsourcing via Implicit Human Feedback5. Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction6. Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution7. Trajectory–User Linking via Heterogeneous Preference Graph and Dual-Encoder Mutual Distillation8. TransLGX: A Self-contained Model to Predict the Entire Lifecycle and complete state of Logistics Package Trajectories

1 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

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

链接：https://www.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

3 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

4 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)

关键词：空间众包，高保真

5 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

6 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：交通预测，大规模路网，自适应图卷积

7 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

8 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