Shihan Xiao

55 papers A* 2A 1B 6C 2Misc 2Journal 35Unranked 7
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
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
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
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
Hierarchical Dynamic Routing in Complex Networks via Topologically-decoupled and Cooperative Reinforcement Learning Agents.
CoRR
Shiyuan Hu, Shihan Xiao
2022 B conf
Learning Traffic Encoding Matrices for Delay-Aware Traffic Engineering in SD-WANs.
NOMS
Majid Ghaderi, Wenjie Liu, Shihan Xiao, Fenglin Li
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 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 J jnl
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems.
CoRR
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021 J jnl
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems.
IEEE Netw.
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, 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
2021 J jnl
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks.
CoRR
José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.
Comput. Commun. Rev.
José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 C conf
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.
HPSR
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.
CoRR
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2020 — conf
Achieving Efficient Routing in Reconfigurable DCNs.
SIGMETRICS (Abstracts)
Zhenjie Yang, Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Chuming Li, Yadong Liu
2020 — conf
DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis.
NetAI@SIGCOMM
Mahmoud Bahnasy, Fenglin Li, Shihan Xiao, Xiangle Cheng
2020 — conf
Neural Packet Routing.
NetAI@SIGCOMM
Shihan Xiao, Haiyan Mao, Bo Wu, Wenjie Liu, Fenglin Li
2019 J jnl
Achieving Efficient Routing in Reconfigurable DCNs.
Proc. ACM Meas. Anal. Comput. Syst.
Zhenjie Yang, Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Chuming Li, Yadong Liu
2019 J jnl
Cost-Efficient Scheduling of Bulk Transfers in Inter-Datacenter WANs.
IEEE/ACM Trans. Netw.
Zhenjie Yang, Yong Cui, Xin Wang, Yadong Liu, Minming Li, Shihan Xiao, Chuming Li
2018 — conf
Deep-Q: Traffic-driven QoS Inference using Deep Generative Network.
NetAI@SIGCOMM
Shihan Xiao, Dongdong He, Zhibo Gong
2018 J jnl
Diamond: Nesting the Data Center Network With Wireless Rings in 3-D Space.
IEEE/ACM Trans. Netw.
Yong Cui, Shihan Xiao, Xin Wang, Zhenjie Yang, Shenghui Yan, Chao Zhu, Xiang-Yang Li, Ning Ge
2018 J jnl
Machine Learning for Networking: Workflow, Advances and Opportunities.
IEEE Netw.
Mowei Wang, Yong Cui, Xin Wang, Shihan Xiao, Junchen Jiang
2018 — conf
Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning.
SIGMETRICS (Abstracts)
Mowei Wang, Yong Cui, Shihan Xiao, Xin Wang, Dan Yang, Kai Chen, Jun Zhu
2018 J jnl
Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning.
Proc. ACM Meas. Anal. Comput. Syst.
Mowei Wang, Yong Cui, Shihan Xiao, Xin Wang, Dan Yang, Kai Chen, Jun Zhu
2017 A conf
DC
IPDPS
Jiyan Sun, Yan Zhang, Xin Wang, Shihan Xiao, Zhen Xu, Hongjing Wu, Xin Chen, Yanni Han
2017 B conf
GreenWay: Joint VM Placement and Topology Adaption for Green Data Center Networking.
ICCCN
Shenghui Yan, Shihan Xiao, Yuchi Chen, Yong Cui, Jiangchuan Liu
2017 J jnl
Machine Learning for Networking: Workflow, Advances and Opportunities.
CoRR
Mowei Wang, Yong Cui, Xin Wang, Shihan Xiao, Junchen Jiang
2017 J jnl
Performance-Aware Energy Optimization on Mobile Devices in Cellular Network.
IEEE Trans. Mob. Comput.
Yong Cui, Shihan Xiao, Xin Wang, Zeqi Lai, Zhenjie Yang, Minming Li, Hongyi Wang
2017 J jnl
Traffic-Aware Virtual Machine Migration in Topology-Adaptive DCN.
IEEE/ACM Trans. Netw.
Yong Cui, Zhenjie Yang, Shihan Xiao, Xin Wang, Shenghui Yan
2016 Misc conf
Diamond: Nesting the Data Center Network with Wireless Rings in 3D Space.
NSDI
Yong Cui, Shihan Xiao, Xin Wang, Zhenjie Yang, Chao Zhu, Xiangyang Li, Liu Yang, Ning Ge
2016 B conf
Traffic-aware virtual machine migration in topology-adaptive DCN.
ICNP
Shihan Xiao, Yong Cui, Xin Wang, Zhenjie Yang, Shenghui Yan, Liu Yang
2015 B conf
Demand-Aware Load Balancing in Wireless LANs Using Association Control.
GLOBECOM
Liu Yang, Yong Cui, Heyi Tang, Shihan Xiao
2015 C conf
Dynamic flow consolidation for energy savings in green DCNs.
IPCCC
Chao Zhu, Yu Xiao, Yong Cui, Zhenjie Yang, Shihan Xiao, Antti Ylä-Jääski
2014 A* conf
Performance-aware energy optimization on mobile devices in cellular network.
INFOCOM
Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Hongyi Wang, Zeqi Lai
2013 J jnl
Data Centers as Software Defined Networks: Traffic Redundancy Elimination with Wireless Cards at Routers.
IEEE J. Sel. Areas Commun.
Yong Cui, Shihan Xiao, Chunpeng Liao, Ivan Stojmenovic, Minming Li