Xiangle Cheng

Orcid: 0000-0002-5441-8272

According to our database1, Xiangle Cheng authored at least 27 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
RouteNet-Fermi: Network Modeling With Graph Neural Networks.
IEEE/ACM Trans. Netw., December, 2023

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering.
IEEE Trans. Cogn. Commun. Netw., April, 2023

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw., 2023

GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters.
CoRR, 2023

Neural Quantile Optimization for Edge-Cloud Computing.
CoRR, 2023

Leveraging Spatial and Temporal Correlations for Network Traffic Compression.
CoRR, 2023

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

2022
Convergence Analysis of Discrete High-Index Saddle Dynamics.
SIAM J. Numer. Anal., October, 2022

Convergence analysis of discrete high-index saddle dynamics.
CoRR, 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
CoRR, 2022

Digital Twin Network: Opportunities and Challenges.
CoRR, 2022

Building a Digital Twin for network optimization using Graph Neural Networks.
Comput. Networks, 2022

ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.
Comput. Networks, 2022

Network Digital Twin: Context, Enabling Technologies, and Opportunities.
IEEE Commun. Mag., 2022

Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
Proceedings of the IEEE INFOCOM 2022, 2022

FlowDT: A Flow-Aware Digital Twin for Computer Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks.
CoRR, 2021

ENERO: Efficient Real-Time Routing Optimization.
CoRR, 2021

IGNNITION: fast prototyping of graph neural networks for communication networks.
Proceedings of the SIGCOMM '21: ACM SIGCOMM 2021 Conference, 2021

Is Machine Learning Ready for Traffic Engineering Optimization?
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

2020
Learning augmented optimization for network softwarization in 5G.
PhD thesis, 2020

Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach.
IEEE J. Sel. Areas Commun., 2020

DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis.
Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

2018
Network Function Virtualization in Dynamic Networks: A Stochastic Perspective.
IEEE J. Sel. Areas Commun., 2018

2017
Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks.
IEEE Trans. Mob. Comput., 2017

2014
Principal component analysis based multiplexing solution for MIMO systems in high-speed railway.
Proceedings of the International Workshop on High Mobility Wireless Communications, 2014


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