Yuqian Song

22 papers A 1B 5Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Sacrifice for QoS-Aware Routing: A Graph Reinforcement Learning Approach.
IEEE Trans. Mob. Comput.
Yuqian Song, Jingli Zhou, Shudan Yu, Jun Liu
2026 J jnl
QoS-Aware and Low-Cost Routing Optimization With Graph Reinforcement Learning in Hybrid Knowledge-Defined Networking.
IEEE Trans. Cogn. Commun. Netw.
Yuqian Song, Jingli Zhou, Shudan Yu, Jun Liu
2026 J jnl
Workload-Aware Routing Optimization via Graph Reinforcement Learning for Joint Delay Minimization in Edge-Cloud Networks.
IEEE Internet Things J.
Yuqian Song, Jingli Zhou, Shudan Yu, Jun Liu
2025 A conf
Decoy Databases: Analyzing Attacks on Public Facing Databases.
IMC
Yuqian Song, Georgios Smaragdakis, Harm Griffioen
2025 J jnl
Enabling Adaptive Optimization of Energy Efficiency and Quality of Service in NR-V2X Communications via Multiagent Deep Reinforcement Learning.
IEEE Internet Things J.
Yuqian Song, Yang Xiao, Jun Liu
2025 J jnl
Enabling Robust and Generalized DRL-Driven Routing Optimization Via Exploration of Graph Neural Networks.
IEEE Trans. Cogn. Commun. Netw.
Yuqian Song, Jingli Zhou, Xinyuan Li, Jun Liu
2025 J jnl
Short Circuit Fault Detection in DAR Based on V-I Characteristic Graph and Machine Learning.
Symmetry
Junlin Zhu, Jiahui Yang, Xiaojing Dang, Xiaqing Sun, Wei Zhang, Yuqian Song, Zhongyong Zhao
2024 J jnl
Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks.
IEEE Trans. Wirel. Commun.
Yang Xiao, Yuqian Song, Jun Liu
2024 B conf
Link2Link: A Robust Probabilistic Routing Algorithm via Edge-centric Graph Reinforcement Learning.
CNSM
Jingli Zhou, Yuqian Song, Xinyuan Li, Wenli Zhou, Jun Liu
2024 J jnl
Twin Towers End to End model for aspect-based sentiment analysis.
Expert Syst. Appl.
Ziliang Li, Yuqian Song, Xiaoling Lu, Miao Liu
2023 B conf
Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4.
CNSM
Yixing Wang, Yang Xiao, Yuqian Song, Jingli Zhou, Jun Liu
2023 J jnl
Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things.
IEEE Trans. Wirel. Commun.
Yang Xiao, Yuqian Song, Jun Liu
2022 B conf
Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication.
PIMRC
Yuqian Song, Yang Xiao, Yaozhi Chen, Guanyu Li, Jun Liu
2022 — conf
Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning.
ICC
Yang Xiao, Yuqian Song, Jun Liu
2015 J jnl
Integration of QoS Metrics, Rules and Semantic Uplift for Advanced IPTV Monitoring.
J. Netw. Syst. Manag.
Ruairí de Fréin, Cristian Olariu, Yuqian Song, Rob Brennan, Patrick McDonagh, Adriana Hava, Christina Thorpe, John Murphy, Liam Murphy, Paul French
2014 — —
A domain knowledge driven information uplift approach for network monitoring
Yuqian Song
2013 — conf
Application of dynamic zoning scheme in Guangdong power grid.
ISGT Europe
Shaohua Lin, Dong Chen, Puming Li, Yuefeng Lu, Jin Zhong, Yuqian Song, Zhongwei Wang
2013 J jnl
Secure federated monitoring of heterogeneous networks.
IEEE Commun. Mag.
Rob Brennan, Kevin Feeney, Yuqian Song, Declan O'Sullivan
2012 B conf
A framework to leverage domain expertise to support novice users in the visual exploration of Home Area Networks.
NOMS
Yuqian Song, John Keeney, Owen Conlan
2012 — conf
Towards a framework to support novice users in understanding and monitoring of Home Area Networks.
PerCom Workshops
Yuqian Song, Rob Brennan, David Lewis, Owen Conlan
2011 — conf
A Novel Approach to Support the Visual Exploration and Management of Heterogeneous Home Area Network Devices and Services.
AIMS
Yuqian Song, Owen Conlan
2011 B conf
An ontology-driven approach to support wireless network monitoring for home area networks.
CNSM
Yuqian Song, John Keeney, Owen Conlan, Philip Perry, Adriana Hava