All Stories

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