Data Centers as Software Defined Networks: Traffic Redundancy Elimination with Wireless Cards at Routers. - Yong Cui 001; Shihan Xiao; Chunpeng Liao; Ivan Stojmenovic; Minming Li (IEEE J. Sel. Areas Commun., 2013)

Performance-aware energy optimization on mobile devices in cellular network. - Yong Cui 001; Shihan Xiao; Xin Wang 001; Minming Li; Hongyi Wang 004; Zeqi Lai (INFOCOM, 2014)

Demand-Aware Load Balancing in Wireless LANs Using Association Control. - Liu Yang; Yong Cui 001; Heyi Tang; Shihan Xiao (GLOBECOM, 2015)

Dynamic flow consolidation for energy savings in green DCNs. - Chao Zhu 002; Yu Xiao 001; Yong Cui 001; Zhenjie Yang; Shihan Xiao; Antti Ylä-Jääski (IPCCC, 2015)

Traffic-aware virtual machine migration in topology-adaptive DCN. - Shihan Xiao; Yong Cui 001; Xin Wang 001; Zhenjie Yang; Shenghui Yan; Liu Yang (ICNP, 2016)

Diamond: Nesting the Data Center Network with Wireless Rings in 3D Space. - Yong Cui 001; Shihan Xiao; Xin Wang 001; Zhenjie Yang; Chao Zhu 002; Xiangyang Li 001; Liu Yang; Ning Ge 001 (NSDI, 2016)

GreenWay: Joint VM Placement and Topology Adaption for Green Data Center Networking. - Shenghui Yan; Shihan Xiao; Yuchi Chen; Yong Cui 001; Jiangchuan Liu (ICCCN, 2017)

DC2-MTCP: Light-Weight Coding for Efficient Multi-Path Transmission in Data Center Network. - Jiyan Sun; Yan Zhang 014; Xin Wang 001; Shihan Xiao; Zhen Xu 009; Hongjing Wu; Xin Chen 019; Yanni Han (IPDPS, 2017)

Performance-Aware Energy Optimization on Mobile Devices in Cellular Network. - Yong Cui 001; Shihan Xiao; Xin Wang 001; Zeqi Lai; Zhenjie Yang; Minming Li; Hongyi Wang 004 (IEEE Trans. Mob. Comput., 2017)

Traffic-Aware Virtual Machine Migration in Topology-Adaptive DCN. - Yong Cui 001; Zhenjie Yang; Shihan Xiao; Xin Wang 001; Shenghui Yan (IEEE/ACM Trans. Netw., 2017)

Deep-Q: Traffic-driven QoS Inference using Deep Generative Network. - Shihan Xiao; Dongdong He; Zhibo Gong (NetAI@SIGCOMM, 2018)

Machine Learning for Networking: Workflow, Advances and Opportunities. - Mowei Wang; Yong Cui 001; Xin Wang 001; Shihan Xiao; Junchen Jiang (IEEE Netw., 2018)

Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning. - Mowei Wang; Yong Cui 001; Shihan Xiao; Xin Wang 001; Dan Yang; Kai Chen 005; Jun Zhu 001 (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Diamond: Nesting the Data Center Network With Wireless Rings in 3-D Space. - Yong Cui 001; Shihan Xiao; Xin Wang 001; Zhenjie Yang; Shenghui Yan; Chao Zhu 002; Xiang-Yang Li 001; Ning Ge 001 (IEEE/ACM Trans. Netw., 2018)

Achieving Efficient Routing in Reconfigurable DCNs. - Zhenjie Yang; Yong Cui 001; Shihan Xiao; Xin Wang 001; Minming Li; Chuming Li; Yadong Liu (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Cost-Efficient Scheduling of Bulk Transfers in Inter-Datacenter WANs. - Zhenjie Yang; Yong Cui 001; Xin Wang 001; Yadong Liu; Minming Li; Shihan Xiao; Chuming Li (IEEE/ACM Trans. Netw., 2019)

DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis. - Mahmoud Bahnasy; Fenglin Li; Shihan Xiao; Xiangle Cheng (NetAI@SIGCOMM, 2020)

Neural Packet Routing. - Shihan Xiao; Haiyan Mao; Bo Wu; Wenjie Liu; Fenglin Li (NetAI@SIGCOMM, 2020)

Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. - Paul Almasan; José Suárez-Varela; Bo Wu; Shihan Xiao; Pere Barlet-Ros; Albert Cabellos-Aparicio (HPSR, 2021)

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)

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. - José Suárez-Varela; Miquel Ferriol Galmés; Albert López; Paul Almasan; Guillermo Bernárdez; David Pujol-Perich; Krzysztof Rusek; Loïck Bonniot; Christoph Neumann 001; François Schnitzler; François Taïani; Martin Happ; et al. (Comput. Commun. Rev., 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)

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. - David Pujol-Perich; José Suárez-Varela; Miquel Ferriol; Shihan Xiao; Bo Wu; Albert Cabellos-Aparicio; Pere Barlet-Ros (IEEE Netw., 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)

Learning Traffic Encoding Matrices for Delay-Aware Traffic Engineering in SD-WANs. - Majid Ghaderi; Wenjie Liu; Shihan Xiao; Fenglin Li (NOMS, 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)

Hierarchical Dynamic Routing in Complex Networks via Topologically-decoupled and Cooperative Reinforcement Learning Agents. - Shiyuan Hu; Shihan Xiao (CoRR, 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)

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)

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)