All Stories

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