A Novel Approach to Support the Visual Exploration and Management of Heterogeneous Home Area Network Devices and Services. - Yuqian Song; Owen Conlan (AIMS, 2011)

An ontology-driven approach to support wireless network monitoring for home area networks. - Yuqian Song; John Keeney; Owen Conlan; Philip Perry; Adriana Hava (CNSM, 2011)

A framework to leverage domain expertise to support novice users in the visual exploration of Home Area Networks. - Yuqian Song; John Keeney; Owen Conlan (NOMS, 2012)

Towards a framework to support novice users in understanding and monitoring of Home Area Networks. - Yuqian Song; Rob Brennan; David Lewis 001; Owen Conlan (PerCom Workshops, 2012)

Application of dynamic zoning scheme in Guangdong power grid. - Shaohua Lin; Dong Chen; Puming Li; Yuefeng Lu; Jin Zhong; Yuqian Song; Zhongwei Wang (ISGT Europe, 2013)

Secure federated monitoring of heterogeneous networks. - Rob Brennan; Kevin Feeney; Yuqian Song; Declan O'Sullivan (IEEE Commun. Mag., 2013)

A domain knowledge driven information uplift approach for network monitoring - Yuqian Song (2014)

Integration of QoS Metrics, Rules and Semantic Uplift for Advanced IPTV Monitoring. - Ruairí de Fréin; Cristian Olariu; Yuqian Song; Rob Brennan; Patrick McDonagh; Adriana Hava; Christina Thorpe; John Murphy 001; Liam Murphy 001; Paul French (J. Netw. Syst. Manag., 2015)

Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning. - Yang Xiao 013; Yuqian Song; Jun Liu 014 (ICC, 2022)

Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication. - Yuqian Song; Yang Xiao 013; Yaozhi Chen; Guanyu Li; Jun Liu 014 (PIMRC, 2022)

Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4. - Yixing Wang; Yang Xiao 013; Yuqian Song; Jingli Zhou; Jun Liu 014 (CNSM, 2023)

Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things. - Yang Xiao 013; Yuqian Song; Jun Liu 014 (IEEE Trans. Wirel. Commun., 2023)

Link2Link: A Robust Probabilistic Routing Algorithm via Edge-centric Graph Reinforcement Learning. - Jingli Zhou; Yuqian Song; Xinyuan Li; Wenli Zhou; Jun Liu (CNSM, 2024)

Twin Towers End to End model for aspect-based sentiment analysis. - Ziliang Li; Yuqian Song; Xiaoling Lu; Miao Liu (Expert Syst. Appl., 2024)

Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks. - Yang Xiao 013; Yuqian Song; Jun Liu 014 (IEEE Trans. Wirel. Commun., 2024)

Enabling Adaptive Optimization of Energy Efficiency and Quality of Service in NR-V2X Communications via Multiagent Deep Reinforcement Learning. - Yuqian Song; Yang Xiao 013; Jun Liu 014 (IEEE Internet Things J., 2025)