Xiangle Cheng

According to our database, Xiangle Cheng authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural quantile optimization for edge-cloud networking.

Bin Du, He Zhang, Xiangle Cheng, Lei Zhang

Comput. Networks, 2024

2023

RouteNet-Fermi: Network Modeling With Graph Neural Networks.

Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

IEEE/ACM Trans. Netw., December, 2023

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering.

Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

IEEE Trans. Cogn. Commun. Netw., April, 2023

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

José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros

IEEE Netw., 2023

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

Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

CoRR, 2023

Neural Quantile Optimization for Edge-Cloud Computing.

Bin Du, He Zhang, Xiangle Cheng, Lei Zhang

CoRR, 2023

Leveraging Spatial and Temporal Correlations for Network Traffic Compression.

Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros

CoRR, 2023

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.

Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros

Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

2022

Convergence Analysis of Discrete High-Index Saddle Dynamics.

Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang

SIAM J. Numer. Anal., October, 2022

Convergence analysis of discrete high-index saddle dynamics.

Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang

CoRR, 2022

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

Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

CoRR, 2022

Digital Twin Network: Opportunities and Challenges.

Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros

CoRR, 2022

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

Miquel Ferriol Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

Comput. Networks, 2022

ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.

Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio

Comput. Networks, 2022

Network Digital Twin: Context, Enabling Technologies, and Opportunities.

Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros

IEEE Commun. Mag., 2022

Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.

Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

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

Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the IEEE INFOCOM 2022, 2022

FlowDT: A Flow-Aware Digital Twin for Computer Networks.

Miquel Ferriol Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

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

Xiangle Cheng, James He, Shihan Xiao, Yingxue Zhang, Zhitang Chen, Pascal Poupart, Fenglin Li

CoRR, 2021

ENERO: Efficient Real-Time Routing Optimization.

Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio

CoRR, 2021

IGNNITION: fast prototyping of graph neural networks for communication networks.

David Pujol-Perich, José Suárez-Varela, Miquel Ferriol Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros

Proceedings of the SIGCOMM '21: ACM SIGCOMM 2021 Conference, 2021

Is Machine Learning Ready for Traffic Engineering Optimization?

Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

2020

Learning augmented optimization for network softwarization in 5G.

Xiangle Cheng

PhD thesis, 2020

Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach.

Xiangle Cheng, Yulei Wu, Geyong Min, Albert Y. Zomaya, Xuming Fang

IEEE J. Sel. Areas Commun., 2020

DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis.

Mahmoud Bahnasy, Fenglin Li, Shihan Xiao, Xiangle Cheng

Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

2018

Network Function Virtualization in Dynamic Networks: A Stochastic Perspective.

Xiangle Cheng, Yulei Wu, Geyong Min, Albert Y. Zomaya

IEEE J. Sel. Areas Commun., 2018

2017

Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks.

Li Yan, Xuming Fang, Yuguang Fang, Xiangle Cheng

IEEE Trans. Mob. Comput., 2017

2014

Principal component analysis based multiplexing solution for MIMO systems in high-speed railway.

Xiangle Cheng, Xuming Fang

Proceedings of the International Workshop on High Mobility Wireless Communications, 2014