All Stories

  1. Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model
  2. Jointly Optimizing Deployment and Antenna of Base Stations Using Hierarchical Reinforcement Learning
  3. Vehicle Trajectory Data Processing, Analytics, and Applications: A Survey
  4. Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications
  5. Digital Twin Enhanced Multi-Agent Reinforcement Learning for Large-Scale Mobile Network Coverage Optimization
  6. Sustainable Connections: Exploring Energy Efficiency in 5G Networks
  7. NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation
  8. Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation
  9. Mobile User Traffic Generation via Multi-Scale Hierarchical GAN
  10. Empowering Spatial Knowledge Graph for Mobile Traffic Prediction
  11. Demand-Driven Urban Facility Visit Prediction
  12. Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands
  13. Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns
  14. Demo: Scalable Digital Twin System for Mobile Networks with Generative AI
  15. You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior
  16. Learning Representations of Satellite Imagery by Leveraging Point-of-Interests
  17. FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
  18. Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests
  19. ”What Apps Did You Use?”: Understanding the Long-term Evolution of Mobile App Usage