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Journal Articles
- 2023
[j16]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): 146-153 (2023)- [j15]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): 494-506 (2023) - [j14]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): 3080-3095 (2023) - 2022
- [j13]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): 22-27 (2022) - [j12]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: 109166 (2022) - [j11]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: 109329 (2022) - 2021
- [j10]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:
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51(3): 9-16 (2021) - [j9]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): 171-177 (2021) - 2019
- [j8]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): 47:1-47:30 (2019) - [j7]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): 1973-1986 (2019) - 2018
- [j6]Mowei Wang, Yong Cui, Xin Wang, Shihan Xiao, Junchen Jiang:
Machine Learning for Networking: Workflow, Advances and Opportunities. IEEE Netw. 32(2): 92-99 (2018) - [j5]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): 26:1-26:25 (2018) - [j4]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): 145-160 (2018) - 2017
- [j3]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): 1073-1089 (2017) - [j2]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): 3427-3440 (2017) - 2013
- [j1]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): 2658-2672 (2013)
Conference and Workshop Papers
- 2023
- [c20]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: 1-6 - 2022
- [c19]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: 8907-8911 - [c18]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: 2018-2027 - [c17]Majid Ghaderi, Wenjie Liu, Shihan Xiao, Fenglin Li:
Learning Traffic Encoding Matrices for Delay-Aware Traffic Engineering in SD-WANs. NOMS 2022: 1-9 - [c16]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: 1-5 - 2021
- [c15]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: 1-6 - [c14]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? ICNP 2021: 1-11 - [c13]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: 71-73 - 2020
- [c12]Shihan Xiao, Haiyan Mao, Bo Wu, Wenjie Liu, Fenglin Li:
Neural Packet Routing. NetAI@SIGCOMM 2020: 28-34 - [c11]Mahmoud Bahnasy, Fenglin Li, Shihan Xiao, Xiangle Cheng:
DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis. NetAI@SIGCOMM 2020: 48-55 - [c10]Zhenjie Yang, Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Chuming Li, Yadong Liu:
Achieving Efficient Routing in Reconfigurable DCNs. SIGMETRICS (Abstracts) 2020: 43-44 - 2018
- [c9]Shihan Xiao, Dongdong He, Zhibo Gong:
Deep-Q: Traffic-driven QoS Inference using Deep Generative Network. NetAI@SIGCOMM 2018: 67-73 - [c8]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: 97-99 - 2017
- [c7]Shenghui Yan, Shihan Xiao, Yuchi Chen, Yong Cui, Jiangchuan Liu:
GreenWay: Joint VM Placement and Topology Adaption for Green Data Center Networking. ICCCN 2017: 1-9 - [c6]Jiyan Sun, Yan Zhang, Xin Wang, Shihan Xiao, Zhen Xu, Hongjing Wu, Xin Chen, Yanni Han:
DC2-MTCP: Light-Weight Coding for Efficient Multi-Path Transmission in Data Center Network. IPDPS 2017: 419-428 - 2016
- [c5]Shihan Xiao, Yong Cui, Xin Wang, Zhenjie Yang, Shenghui Yan, Liu Yang:
Traffic-aware virtual machine migration in topology-adaptive DCN. ICNP 2016: 1-10 - [c4]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: 657-669 - 2015
- [c3]Liu Yang, Yong Cui, Heyi Tang, Shihan Xiao:
Demand-Aware Load Balancing in Wireless LANs Using Association Control. GLOBECOM 2015: 1-6 - [c2]Chao Zhu, Yu Xiao, Yong Cui, Zhenjie Yang, Shihan Xiao, Antti Ylä-Jääski:
Dynamic flow consolidation for energy savings in green DCNs. IPCCC 2015: 1-8 - 2014
- [c1]Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Hongyi Wang, Zeqi Lai:
Performance-aware energy optimization on mobile devices in cellular network. INFOCOM 2014: 1123-1131
Informal and Other Publications
- 2023
- [i18]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) - [i17]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) - [i16]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) - [i15]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
- [i14]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) - [i13]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) - [i12]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) - [i11]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 abs/2205.14206 (2022) - [i10]Shiyuan Hu, Shihan Xiao:
Hierarchical Dynamic Routing in Complex Networks via Topologically-decoupled and Cooperative Reinforcement Learning Agents. CoRR abs/2207.00763 (2022) - [i9]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 abs/2212.12070 (2022) - 2021
- [i8]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 abs/2106.09754 (2021) - [i7]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:
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR abs/2107.12433 (2021) - [i6]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) - [i5]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 abs/2109.06715 (2021) - [i4]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) - [i3]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) - [i2]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) - 2017
- [i1]Mowei Wang, Yong Cui, Xin Wang, Shihan Xiao, Junchen Jiang:
Machine Learning for Networking: Workflow, Advances and Opportunities. CoRR abs/1709.08339 (2017)
Coauthor Index
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