35 results on '"XIANGLE CHENG"'
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2. Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
3. RouteNet-Fermi: Network Modeling With Graph Neural Networks.
4. MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering.
5. Neural quantile optimization for edge-cloud networking.
6. Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.
7. RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
8. FlowDT: A Flow-Aware Digital Twin for Computer Networks.
9. Convergence Analysis of Discrete High-Index Saddle Dynamics.
10. Network Digital Twin: Context, Enabling Technologies, and Opportunities.
11. MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering.
12. Leveraging Spatial and Temporal Correlations for Network Traffic Compression.
13. Neural Quantile Optimization for Edge-Cloud Computing.
14. Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.
15. GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters.
16. Is Machine Learning Ready for Traffic Engineering Optimization?
17. DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis.
18. IGNNITION: fast prototyping of graph neural networks for communication networks.
19. Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach.
20. Network Digital Twin: Context, Enabling Technologies and Opportunities.
21. Digital Twin Network: Opportunities and Challenges.
22. RouteNet-Fermi: Network Modeling with Graph Neural Networks.
23. Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.
24. RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
25. Convergence analysis of discrete high-index saddle dynamics.
26. ENERO: Efficient Real-Time Routing Optimization.
27. Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
28. Is Machine Learning Ready for Traffic Engineering Optimization?
29. Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks.
30. ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.
31. Building a Digital Twin for network optimization using Graph Neural Networks.
32. Network Function Virtualization in Dynamic Networks: A Stochastic Perspective.
33. Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks.
34. Principal component analysis based multiplexing solution for MIMO systems in high-speed railway.
35. Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022
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