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Xiangle Cheng
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2020 – today
- 2024
- [j11]Bin Du
, He Zhang
Neural quantile optimization for edge-cloud networking. Comput. Networks 253: 110713 (2024) - 2023
- [j10]José Suárez-Varela, Paul Almasan
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37(3): 146-153 (2023) - [j9]Guillermo Bernárdez
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. IEEE Trans. Cogn. Commun. Netw. 9(2): 494-506 (2023) - [j8]Miquel Ferriol Galmés
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31(6): 3080-3095 (2023) - [c8]Paul Almasan
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. GNNet@CoNEXT 2023: 1-6 - [i15]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 abs/2301.08962 (2023) - [i14]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 abs/2303.18157 (2023) - [i13]Bin Du, He Zhang, Xiangle Cheng, Lei Zhang:
Neural Quantile Optimization for Edge-Cloud Computing. CoRR abs/2307.05170 (2023) - [i12]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 abs/2308.04905 (2023) - [i11]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 abs/2311.05337 (2023) - 2022
- [j7]Paul Almasan
Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Commun. Mag. 60(11): 22-27 (2022) - [j6]Paul Almasan
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. Comput. Networks 214: 109166 (2022) - [j5]Miquel Ferriol Galmés
Building a Digital Twin for network optimization using Graph Neural Networks. Comput. Networks 217: 109329 (2022) - [j4]Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang
Convergence Analysis of Discrete High-Index Saddle Dynamics. SIAM J. Numer. Anal. 60(5): 2731-2750 (2022) - [c7]Miquel Ferriol Galmés
FlowDT: A Flow-Aware Digital Twin for Computer Networks. ICASSP 2022: 8907-8911 - [c6]Miquel Ferriol Galmés
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM 2022: 2018-2027 - [c5]Carlos Güemes-Palau, Paul Almasan
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. NOMS 2022: 1-5 - [e1]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos:
Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022. ACM 2022, ISBN 978-1-4503-9933-3 [contents] - [i10]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 abs/2201.01144 (2022) - [i9]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 abs/2202.00360 (2022) - [i8]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 abs/2202.13956 (2022) - [i7]Yue Luo
Convergence analysis of discrete high-index saddle dynamics. CoRR abs/2204.00171 (2022) - [i6]Paul Almasan, Miquel Ferriol Galmés
Network Digital Twin: Context, Enabling Technologies and Opportunities. CoRR abs/2205.14206 (2022) - [i5]Miquel Ferriol Galmés
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR abs/2212.12070 (2022) - 2021
- [c4]Guillermo Bernárdez, José Suárez-Varela
Is Machine Learning Ready for Traffic Engineering Optimization? ICNP 2021: 1-11 - [c3]David Pujol-Perich, José Suárez-Varela
IGNNITION: fast prototyping of graph neural networks for communication networks. SIGCOMM Posters and Demos 2021: 71-73 - [i4]Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? CoRR abs/2109.01445 (2021) - [i3]Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
ENERO: Efficient Real-Time Routing Optimization. CoRR abs/2109.10883 (2021) - [i2]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 abs/2112.12321 (2021) - [i1]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 abs/2112.14792 (2021) - 2020
- [b1]Xiangle Cheng:
Learning augmented optimization for network softwarization in 5G. University of Exeter, Devon, UK, 2020 - [j3]Xiangle Cheng
Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach. IEEE J. Sel. Areas Commun. 38(7): 1600-1613 (2020) - [c2]Mahmoud Bahnasy, Fenglin Li, Shihan Xiao, Xiangle Cheng:
DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis. NetAI@SIGCOMM 2020: 48-55
2010 – 2019
- 2018
- [j2]Xiangle Cheng
Network Function Virtualization in Dynamic Networks: A Stochastic Perspective. IEEE J. Sel. Areas Commun. 36(10): 2218-2232 (2018) - 2017
- [j1]Li Yan, Xuming Fang, Yuguang Fang
Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks. IEEE Trans. Mob. Comput. 16(7): 1842-1855 (2017) - 2014
- [c1]Xiangle Cheng, Xuming Fang:
Principal component analysis based multiplexing solution for MIMO systems in high-speed railway. HMWC 2014: 48-52
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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