42 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. Leveraging Spatial and Temporal Correlations for Network Traffic Compression.
12. Neural Quantile Optimization for Edge-Cloud Computing.
13. GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters.
14. Is Machine Learning Ready for Traffic Engineering Optimization?
15. DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis.
16. IGNNITION: fast prototyping of graph neural networks for communication networks.
17. Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach.
18. Digital Twin Network: Opportunities and Challenges.
19. RouteNet-Fermi: Network Modeling with Graph Neural Networks.
20. Experimental Validation of Reconstruction of Sound Source Radiation in an Underwater Half-Space Bounded by a Water-Air Interface.
21. ENERO: Efficient Real-Time Routing Optimization.
22. Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
23. Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks.
24. ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.
25. Building a Digital Twin for network optimization using Graph Neural Networks.
26. Network Function Virtualization in Dynamic Networks: A Stochastic Perspective.
27. Localization of travelling and standing waves in a circular membrane coupled to a continuous viscoelastic support
28. Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks.
29. Principal component analysis based multiplexing solution for MIMO systems in high-speed railway.
30. Graph neural networks for communication networks: context, use cases and opportunities
31. Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach
32. RouteNet-Erlang: A graph neural network for network performance evaluation
33. ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning
34. Co-existing complexity-induced traveling wave transmission and vibration localization in Euler-Bernoulli beams
35. IGNNITION: fast prototyping of graph neural networks for communication networks
36. DeepBGP
37. Reconstruction of waves traveling in a nonlinear granular chain from acoustic measurements
38. Separation of traveling and standing waves in a finite dispersive string with partial or continuous viscoelastic foundation
39. Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks
40. Preparation and structure analysis of expanded graphite-based composites made by phosphoric acid activation
41. Preparation and structure analysis of expanded graphite-based composites made by phosphoric acid activation.
42. Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022
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