Principal component analysis based multiplexing solution for MIMO systems in high-speed railway. - Xiangle Cheng; Xuming Fang (HMWC, 2014)

Dual-Scheduler Design for C/U-Plane Decoupled Railway Wireless Networks. - Li Yan 002; Xuming Fang; Yuguang Fang; Xiangle Cheng (IEEE Trans. Mob. Comput., 2017)

Network Function Virtualization in Dynamic Networks: A Stochastic Perspective. - Xiangle Cheng; Yulei Wu; Geyong Min; Albert Y. Zomaya (IEEE J. Sel. Areas Commun., 2018)

DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis. - Mahmoud Bahnasy; Fenglin Li; Shihan Xiao; Xiangle Cheng (NetAI@SIGCOMM, 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)

Learning augmented optimization for network softwarization in 5G. - Xiangle Cheng (2020)

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 (ICNP, 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 (SIGCOMM Posters and Demos, 2021)

ENERO: Efficient Real-Time Routing Optimization. - Paul Almasan; Shihan Xiao; Xiangle Cheng; Xiang Shi; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 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)

FlowDT: A Flow-Aware Digital Twin for Computer Networks. - Miquel Ferriol Galmés; Xiangle Cheng; Xiang Shi; Shihan Xiao; Pere Barlet-Ros; Albert Cabellos-Aparicio (ICASSP, 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 (INFOCOM, 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 (NOMS, 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 002; Laurent Ciavaglia; Leon Wong; Vishnu Ram; Shihan Xiao; et al. (IEEE Commun. Mag., 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)

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)

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 002; Laurent Ciavaglia; Leon Wong; Vishnu Ram; Shihan Xiao; et al. (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)

Convergence analysis of discrete high-index saddle dynamics. - Yue Luo; Xiangcheng Zheng; Xiangle Cheng; Lei Zhang (CoRR, 2022)

Convergence Analysis of Discrete High-Index Saddle Dynamics. - Yue Luo; Xiangcheng Zheng; Xiangle Cheng; Lei Zhang 061 (SIAM J. Numer. Anal., 2022)

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 (GNNet@CoNEXT, 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)

Neural Quantile Optimization for Edge-Cloud Computing. - Bin Du; He Zhang; Xiangle Cheng; Lei Zhang (CoRR, 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)

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., 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., 2023)

Neural quantile optimization for edge-cloud networking. - Bin Du; He Zhang; Xiangle Cheng; Lei Zhang 061 (Comput. Networks, 2024)

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 (Comput. Networks, 2025)