Xiangle Cheng

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 32

Top Topics

Temporal Correlation

Traffic Engineering

Reinforcement Learning

Top Venues

IEEE J. Sel. Areas Commun.

Comput. Networks

SIGCOMM Posters and Demos

Publications

Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. GNNet@CoNEXT (2023)
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
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37 (3) (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. CoRR (2023)
Bin Du, He Zhang, Xiangle Cheng, Lei Zhang
Neural Quantile Optimization for Edge-Cloud Computing. CoRR (2023)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31 (6) (2023)
Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters. CoRR (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Leveraging Spatial and Temporal Correlations for Network Traffic Compression. CoRR (2023)
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering. CoRR (2023)
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. IEEE Trans. Cogn. Commun. Netw. 9 (2) (2023)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR (2022)
Miquel Ferriol Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Building a Digital Twin for network optimization using Graph Neural Networks. Comput. Networks 217 (2022)
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
Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Commun. Mag. 60 (11) (2022)
Miquel Ferriol Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
FlowDT: A Flow-Aware Digital Twin for Computer Networks. ICASSP (2022)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR (2022)
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
Network Digital Twin: Context, Enabling Technologies and Opportunities. CoRR (2022)
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. CoRR (2022)
Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang
Convergence Analysis of Discrete High-Index Saddle Dynamics. SIAM J. Numer. Anal. 60 (5) (2022)
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. Comput. Networks 214 (2022)
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. NOMS (2022)
Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang
Convergence analysis of discrete high-index saddle dynamics. CoRR (2022)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM (2022)
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
Digital Twin Network: Opportunities and Challenges. CoRR (2022)
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
ENERO: Efficient Real-Time Routing Optimization. CoRR (2021)
Xiangle Cheng, James He, Shihan Xiao, Yingxue Zhang, Zhitang Chen, Pascal Poupart, Fenglin Li
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks. CoRR (2021)
Guillermo Bernárdez, José Suárez-Varela, Albert Lopez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Is Machine Learning Ready for Traffic Engineering Optimization? CoRR (2021)
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
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR (2021)
Guillermo Bernárdez, José Suárez-Varela, Albert Lopez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Is Machine Learning Ready for Traffic Engineering Optimization? ICNP (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: fast prototyping of graph neural networks for communication networks. SIGCOMM Posters and Demos (2021)
Mahmoud Bahnasy, Fenglin Li, Shihan Xiao, Xiangle Cheng
DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis. NetAI@SIGCOMM (2020)
Xiangle Cheng, Yulei Wu, Geyong Min, Albert Y. Zomaya, Xuming Fang
Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach. IEEE J. Sel. Areas Commun. 38 (7) (2020)
Xiangle Cheng, Yulei Wu, Geyong Min, Albert Y. Zomaya
Network Function Virtualization in Dynamic Networks: A Stochastic Perspective. IEEE J. Sel. Areas Commun. 36 (10) (2018)
Li Yan, Xuming Fang, Yuguang Fang, Xiangle Cheng
Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks. IEEE Trans. Mob. Comput. 16 (7) (2017)
Xiangle Cheng, Xuming Fang
Principal component analysis based multiplexing solution for MIMO systems in high-speed railway. HMWC (2014)