All Stories

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