Deep transfer learning for city-scale cellular traffic generation through urban knowledge graph S Zhang, T Li, S Hui, G Li, Y Liang, L Yu, D Jin, Y Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 39 | 2023 |
Mobile User Traffic Generation via Multi-Scale Hierarchical GAN T Li, S Hui, S Zhang, H Wang, Y Zhang, P Hui, D Jin, Y Li ACM Transactions on Knowledge Discovery from Data, 2024 | 29 | 2024 |
NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation Shiyuan Zhang, Tong Li, Depeng Jin, Yong Li Proceedings of the ACM on Networking (CoNEXT), 2024 | 11* | 2024 |
Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications T Li, Q Long, H Chai, S Zhang, F Jiang, H Liu, W Huang, D Jin, Y Li ACM Computing Surveys, 2024 | 5 | 2024 |
Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation H Chai, T Li, F Jiang, S Zhang, Y Li Companion Proceedings of the ACM on Web Conference 2024, 851-854, 2024 | 1 | 2024 |
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model H Chai, S Zhang, X Qi, Y Li arXiv preprint arXiv:2410.15322, 2024 | | 2024 |