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ICDE (2024)

---2024---

  1. AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. https://arxiv.org/abs/2312.14394

  2. A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units. https://arxiv.org/abs/2403.07022

  3. A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. https://arxiv.org/abs/2404.14999

  4. A Spatio-Temporal Series Data Model with Efficient Indexing and Layout for Cloud-Based Trajectory Data Management. https://ieeexplore.ieee.org/abstract/document/10598151

  5. AFTER: Adaptive Friend Discovery for Temporal-spatial and Social-aware XR. https://ieeexplore.ieee.org/abstract/document/10598176

  6. Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. https://arxiv.org/abs/2311.11204

  7. Congestion-mitigating Spatiotemporal Routing in Road Networks. https://ieeexplore.ieee.org/abstract/document/10597814

  8. CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection. https://ieeexplore.ieee.org/abstract/document/10598111

  9. Cross Online Assignment of Hybrid Task in Spatial Crowdsourcing. https://ieeexplore.ieee.org/abstract/document/10598138

  10. Cooperative Global Path Planning for Multiple Platforms. https://ieeexplore.ieee.org/abstract/document/10597685

  11. Deep Learning with Spatiotemporal Data: A Deep Dive into GeotorchAI. https://kanchanchy.github.io/files/GeoTorchAI-ICDE-2024.pdf

  12. Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. https://ieeexplore.ieee.org/abstract/document/10598034

  13. Efficient Learning-based Top-k Representative Similar Subtrajectory Query. https://ieeexplore.ieee.org/abstract/document/10598106

  14. From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations. https://arxiv.org/abs/2403.10220

  15. Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Anomaly Detection. https://arxiv.org/abs/2311.16191

  16. Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting. https://arxiv.org/abs/2312.16403

  17. Learning to Hash for Trajectory Similarity Computation and Search. https://ieeexplore.ieee.org/abstract/document/10597836

  18. LightTR: A Lightweight Framework for Federated Trajectory Recovery. https://arxiv.org/abs/2405.03409

  19. MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. https://ieeexplore.ieee.org/abstract/document/10598118

  20. Online Multi-Worker-Aware Route Planning over Time-Dependent Road Networks. https://ieeexplore.ieee.org/abstract/document/9458783

  21. PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy. https://arxiv.org/abs/2404.03873

  22. Querying Shortest Path on Large Time-Dependent Road Networks with Shortcuts. https://ieeexplore.ieee.org/abstract/document/10597983

  23. Querying Numeric-Constrained Shortest Distances on Road Networks. https://ieeexplore.ieee.org/abstract/document/10597684

  24. REGER: Reordering Time Series Data for Regression Encoding. https://ieeexplore.ieee.org/abstract/document/10598085

  25. Real-Time Trajectory Synthesis with Local Differential Privacy. https://arxiv.org/abs/2404.11450

  26. SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. https://arxiv.org/abs/2406.12282

  27. ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction. https://ieeexplore.ieee.org/abstract/document/10597952

  28. Scaling up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations. https://ieeexplore.ieee.org/abstract/document/10598155

  29. TimeDRL: Disentangled Representation Learning for Multivariate Time-Series. https://arxiv.org/abs/2312.04142

  30. Time Series Data Cleaning under Expressive Constraints on both Rows and Columns. https://ieeexplore.ieee.org/abstract/document/10598078

  31. TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis. https://ieeexplore.ieee.org/abstract/document/10597845

  32. Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection. https://ieeexplore.ieee.org/abstract/document/10597757

  33. TSec: An Efficient and Effective Framework for Time Series Classification. https://ieeexplore.ieee.org/abstract/document/10597818

  34. TSDDISCOVER: Discovery Data Dependency for Time Series Data. https://ieeexplore.ieee.org/abstract/document/10598097

  35. TMan: A High-Performance Trajectory Data Management System Based on Key-value Stores. https://ieeexplore.ieee.org/abstract/document/10597771

  36. Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data. https://arxiv.org/abs/2404.04271

  37. Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage. https://ieeexplore.ieee.org/abstract/document/10597886

  38. Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. https://arxiv.org/abs/2311.11235

  39. Urban Sensing for Multi-destination Workers via Deep Reinforcement Learning. https://ieeexplore.ieee.org/abstract/document/10597850