All Stories

  1. Frequency-Domain Multi-Modality Transportation Modeling
  2. Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting
  3. Node Role-Guided LLMs for Dynamic Graph Clustering
  4. Video-based Transparent Object Segmentation via Temporal Feature Aggregation
  5. Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
  6. CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
  7. Non-Homophilic Graph Pre-Training and Prompt Learning
  8. A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization
  9. Revisiting Dynamic Graph Clustering via Matrix Factorization
  10. Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation
  11. Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
  12. Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction
  13. Multimodal Low-light Image Enhancement with Depth Information
  14. Introduction to the Special Issue on Machine Learning and Location Data: Part II
  15. Introduction to the Special Issue on Machine Learning and Location Data
  16. Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
  17. Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation
  18. Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
  19. MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  20. TTS-Norm: Forecasting Tensor Time Series via Multi-way Normalization
  21. Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  22. Metropolitan-scale Mobility Digital Twin
  23. Towards an Event-Aware Urban Mobility Prediction System
  24. A Survey on Data-driven COVID-19 and Future Pandemic Management
  25. Human Mobility-based Individual-level Epidemic Simulation Platform
  26. Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System
  27. Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction
  28. DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
  29. ST-Norm
  30. The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting
  31. Transfer Urban Human Mobility via POI Embedding over Multiple Cities
  32. Decentralized Attention-based Personalized Human Mobility Prediction
  33. DeepUrbanEvent
  34. Online Deep Ensemble Learning for Predicting Citywide Human Mobility
  35. Deep ROI-Based Modeling for Urban Human Mobility Prediction