Shihan Xiao
Shihan Xiao
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Machine learning for networking: Workflow, advances and opportunities
M Wang, Y Cui, X Wang, S Xiao, J Jiang
Ieee Network 32 (2), 92-99, 2017
Diamond: Nesting the Data Center Network with Wireless Rings in 3D Space
Y Cui, S Xiao, X Wang, Z Yang, C Zhu, X Li, L Yang, N Ge
13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2016), 2016
Performance-aware energy optimization on mobile devices in cellular network
Y Cui, S Xiao, X Wang, Z Lai, Z Yang, M Li, H Wang
IEEE Transactions on Mobile Computing 16 (4), 1073-1089, 2016
Neural network meets DCN: Traffic-driven topology adaptation with deep learning
M Wang, Y Cui, S Xiao, X Wang, D Yang, K Chen, J Zhu
Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (2 …, 2018
Data centers as software defined networks: Traffic redundancy elimination with wireless cards at routers
Y Cui, S Xiao, C Liao, I Stojmenovic, M Li
IEEE Journal on Selected Areas in Communications 31 (12), 2658-2672, 2013
Deep-q: Traffic-driven qos inference using deep generative network
S Xiao, D He, Z Gong
Proceedings of the 2018 Workshop on Network Meets AI & ML, 67-73, 2018
Traffic-aware virtual machine migration in topology-adaptive DCN
S Xiao, Y Cui, X Wang, Z Yang, S Yan, L Yang
2016 IEEE 24th International Conference on Network Protocols (ICNP), 1-10, 2016
Is machine learning ready for traffic engineering optimization?
G Bernárdez, J Suárez-Varela, A López, B Wu, S Xiao, X Cheng, ...
2021 IEEE 29th International Conference on Network Protocols (ICNP), 1-11, 2021
Neural packet routing
S Xiao, H Mao, B Wu, W Liu, F Li
Proceedings of the Workshop on Network Meets AI & ML, 28-34, 2020
Traffic-aware virtual machine migration in topology-adaptive dcn
Y Cui, Z Yang, S Xiao, X Wang, S Yan
IEEE/ACM Transactions on Networking 25 (6), 3427-3440, 2017
Demand-aware load balancing in wireless lans using association control
L Yang, Y Cui, H Tang, S Xiao
2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015
Digital twin network: Opportunities and challenges
P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ...
arXiv preprint arXiv:2201.01144, 2022
IGNNITION: Bridging the gap between graph neural networks and networking systems
D Pujol-Perich, J Suárez-Varela, M Ferriol, S Xiao, B Wu, ...
IEEE network 35 (6), 171-177, 2021
Cost-efficient scheduling of bulk transfers in inter-datacenter WANs
Z Yang, Y Cui, X Wang, Y Liu, M Li, S Xiao, C Li
IEEE/ACM Transactions on Networking 27 (5), 1973-1986, 2019
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks
J Suárez-Varela, M Ferriol-Galmés, A López, P Almasan, G Bernárdez, ...
ACM SIGCOMM Computer Communication Review 51 (3), 9-16, 2021
DC^ 2-MTCP: Light-Weight Coding for Efficient Multi-Path Transmission in Data Center Network
J Sun, Y Zhang, X Wang, S Xiao, Z Xu, H Wu, X Chen, Y Han
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
Routenet-erlang: A graph neural network for network performance evaluation
M Ferriol-Galmés, K Rusek, J Suárez-Varela, S Xiao, X Shi, X Cheng, ...
IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2018-2027, 2022
Enero: Efficient real-time routing optimization
P Almasan, S Xiao, X Cheng, X Shi, P Barlet-Ros, A Cabellos-Aparicio
arXiv preprint arXiv:2109.10883, 2021
DeepBGP: a machine learning approach for BGP configuration synthesis
M Bahnasy, F Li, S Xiao, X Cheng
Proceedings of the Workshop on Network Meets AI & ML, 48-55, 2020
Towards real-time routing optimization with deep reinforcement learning: Open challenges
P Almasan, J Suárez-Varela, B Wu, S Xiao, P Barlet-Ros, ...
2021 IEEE 22nd International Conference on High Performance Switching and …, 2021
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