Shihan Xiao

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 52

Top Topics

Temporal Correlation

Traffic Engineering

Reinforcement Learning

Top Venues

IEEE/ACM Trans. Netw.

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)
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)
Majid Ghaderi, Wenjie Liu, Shihan Xiao, Fenglin Li
Learning Traffic Encoding Matrices for Delay-Aware Traffic Engineering in SD-WANs. NOMS (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)
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)
Shiyuan Hu, Shihan Xiao
Hierarchical Dynamic Routing in Complex Networks via Topologically-decoupled and Cooperative Reinforcement Learning Agents. 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)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, 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
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. IEEE Netw. 35 (6) (2021)
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. HPSR (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)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems. 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)
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. CoRR (2021)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, 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
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51 (3) (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)
Zhenjie Yang, Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Chuming Li, Yadong Liu
Achieving Efficient Routing in Reconfigurable DCNs. SIGMETRICS (Abstracts) (2020)
Shihan Xiao, Haiyan Mao, Bo Wu, Wenjie Liu, Fenglin Li
Neural Packet Routing. NetAI@SIGCOMM (2020)
Mahmoud Bahnasy, Fenglin Li, Shihan Xiao, Xiangle Cheng
DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis. NetAI@SIGCOMM (2020)
Zhenjie Yang, Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Chuming Li, Yadong Liu
Achieving Efficient Routing in Reconfigurable DCNs. Proc. ACM Meas. Anal. Comput. Syst. 3 (3) (2019)
Zhenjie Yang, Yong Cui, Xin Wang, Yadong Liu, Minming Li, Shihan Xiao, Chuming Li
Cost-Efficient Scheduling of Bulk Transfers in Inter-Datacenter WANs. IEEE/ACM Trans. Netw. 27 (5) (2019)
Mowei Wang, Yong Cui, Xin Wang, Shihan Xiao, Junchen Jiang
Machine Learning for Networking: Workflow, Advances and Opportunities. IEEE Netw. 32 (2) (2018)
Shihan Xiao, Dongdong He, Zhibo Gong
Deep-Q: Traffic-driven QoS Inference using Deep Generative Network. NetAI@SIGCOMM (2018)
Mowei Wang, Yong Cui, Shihan Xiao, Xin Wang, Dan Yang, Kai Chen, Jun Zhu
Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning. SIGMETRICS (Abstracts) (2018)
Yong Cui, Shihan Xiao, Xin Wang, Zhenjie Yang, Shenghui Yan, Chao Zhu, Xiang-Yang Li, Ning Ge
Diamond: Nesting the Data Center Network With Wireless Rings in 3-D Space. IEEE/ACM Trans. Netw. 26 (1) (2018)
Mowei Wang, Yong Cui, Shihan Xiao, Xin Wang, Dan Yang, Kai Chen, Jun Zhu
Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning. Proc. ACM Meas. Anal. Comput. Syst. 2 (2) (2018)
Jiyan Sun, Yan Zhang, Xin Wang, Shihan Xiao, Zhen Xu, Hongjing Wu, Xin Chen, Yanni Han
-MTCP: Light-Weight Coding for Efficient Multi-Path Transmission in Data Center Network. IPDPS (2017)
Yong Cui, Shihan Xiao, Xin Wang, Zeqi Lai, Zhenjie Yang, Minming Li, Hongyi Wang
Performance-Aware Energy Optimization on Mobile Devices in Cellular Network. IEEE Trans. Mob. Comput. 16 (4) (2017)
Shenghui Yan, Shihan Xiao, Yuchi Chen, Yong Cui, Jiangchuan Liu
GreenWay: Joint VM Placement and Topology Adaption for Green Data Center Networking. ICCCN (2017)
Mowei Wang, Yong Cui, Xin Wang, Shihan Xiao, Junchen Jiang
Machine Learning for Networking: Workflow, Advances and Opportunities. CoRR (2017)
Yong Cui, Zhenjie Yang, Shihan Xiao, Xin Wang, Shenghui Yan
Traffic-Aware Virtual Machine Migration in Topology-Adaptive DCN. IEEE/ACM Trans. Netw. 25 (6) (2017)
Shihan Xiao, Yong Cui, Xin Wang, Zhenjie Yang, Shenghui Yan, Liu Yang
Traffic-aware virtual machine migration in topology-adaptive DCN. ICNP (2016)
Yong Cui, Shihan Xiao, Xin Wang, Zhenjie Yang, Chao Zhu, Xiangyang Li, Liu Yang, Ning Ge
Diamond: Nesting the Data Center Network with Wireless Rings in 3D Space. NSDI (2016)
Liu Yang, Yong Cui, Heyi Tang, Shihan Xiao
Demand-Aware Load Balancing in Wireless LANs Using Association Control. GLOBECOM (2015)
Chao Zhu, Yu Xiao, Yong Cui, Zhenjie Yang, Shihan Xiao, Antti Ylä-Jääski
Dynamic flow consolidation for energy savings in green DCNs. IPCCC (2015)
Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Hongyi Wang, Zeqi Lai
Performance-aware energy optimization on mobile devices in cellular network. INFOCOM (2014)
Yong Cui, Shihan Xiao, Chunpeng Liao, Ivan Stojmenovic, Minming Li
Data Centers as Software Defined Networks: Traffic Redundancy Elimination with Wireless Cards at Routers. IEEE J. Sel. Areas Commun. 31 (12) (2013)