Xiangle Cheng

37 papers A* 1B 2Misc 1Journal 27Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
GraphCC: A practical graph learning-based approach to Congestion Control in datacenters.
Comput. Networks
Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2024 J jnl
Neural quantile optimization for edge-cloud networking.
Comput. Networks
Bin Du, He Zhang, Xiangle Cheng, Lei Zhang
2023 — conf
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.
GNNet@CoNEXT
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.
CoRR
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw.
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
2023 J jnl
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters.
CoRR
Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023 J jnl
Leveraging Spatial and Temporal Correlations for Network Traffic Compression.
CoRR
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering.
IEEE Trans. Cogn. Commun. Netw.
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023 J jnl
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering.
CoRR
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023 J jnl
Neural Quantile Optimization for Edge-Cloud Computing.
CoRR
Bin Du, He Zhang, Xiangle Cheng, Lei Zhang
2023 J jnl
RouteNet-Fermi: Network Modeling With Graph Neural Networks.
IEEE/ACM Trans. Netw.
Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 B conf
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.
NOMS
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.
CoRR
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Building a Digital Twin for network optimization using Graph Neural Networks.
Comput. Networks
Miquel Ferriol-Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Convergence Analysis of Discrete High-Index Saddle Dynamics.
SIAM J. Numer. Anal.
Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang
2022 J jnl
Convergence analysis of discrete high-index saddle dynamics.
CoRR
Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang
2022 J jnl
Digital Twin Network: Opportunities and Challenges.
CoRR
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
2022 J jnl
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.
Comput. Networks
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 Misc conf
FlowDT: A Flow-Aware Digital Twin for Computer Networks.
ICASSP
Miquel Ferriol-Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Network Digital Twin: Context, Enabling Technologies and Opportunities.
CoRR
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
2022 J jnl
Network Digital Twin: Context, Enabling Technologies, and Opportunities.
IEEE Commun. Mag.
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
2022 — ed.
Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022
GNNet@CoNEXT
Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos
2022 A* conf
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
INFOCOM
Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
CoRR
Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
RouteNet-Fermi: Network Modeling with Graph Neural Networks.
CoRR
Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
ENERO: Efficient Real-Time Routing Optimization.
CoRR
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
CoRR
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
2021 — conf
IGNNITION: fast prototyping of graph neural networks for communication networks.
SIGCOMM Posters and Demos
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol-Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021 B conf
Is Machine Learning Ready for Traffic Engineering Optimization?
ICNP
Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Is Machine Learning Ready for Traffic Engineering Optimization?
CoRR
Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks.
CoRR
Xiangle Cheng, James He, Shihan Xiao, Yingxue Zhang, Zhitang Chen, Pascal Poupart, Fenglin Li
2020 — conf
DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis.
NetAI@SIGCOMM
Mahmoud Bahnasy, Fenglin Li, Shihan Xiao, Xiangle Cheng
2020 — —
Learning augmented optimization for network softwarization in 5G.
Xiangle Cheng
2020 J jnl
Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach.
IEEE J. Sel. Areas Commun.
Xiangle Cheng, Yulei Wu, Geyong Min, Albert Y. Zomaya, Xuming Fang
2018 J jnl
Network Function Virtualization in Dynamic Networks: A Stochastic Perspective.
IEEE J. Sel. Areas Commun.
Xiangle Cheng, Yulei Wu, Geyong Min, Albert Y. Zomaya
2017 J jnl
Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks.
IEEE Trans. Mob. Comput.
Li Yan, Xuming Fang, Yuguang Fang, Xiangle Cheng
2014 — conf
Principal component analysis based multiplexing solution for MIMO systems in high-speed railway.
HMWC
Xiangle Cheng, Xuming Fang