Exploiting Social Relationship for Opportunistic Routing in Mobile Social Networks. - Zhenxiang Gao; Yan Shi 002; Shanzhi Chen; Qihan Li (IEICE Trans. Commun., 2015)

Identifying Influential Nodes for Efficient Routing in Opportunistic Networks. - Zhenxiang Gao; Yan Shi 002; Shanzhi Chen (J. Commun., 2015)

Flexible multi-path routing for global optimization in software-defined datacenters. - Weihua Liu; Weihua Zhou; Yongming Wang; Yuyao Duan; Zhenxiang Gao (ISCC, 2016)

Exploiting social relationship for secure routing in mobile social networks. - Zhenxiang Gao; Weihua Zhou; Yongming Wang (MILCOM, 2016)

A multi-criteria handover algorithm for UE energy efficiency and cell load balance in dense HetNets. - Xulong Shao; Zhenxiang Gao; Weihua Zhou; Haiqiang Liu; Yongming Wang (WPMC, 2016)

Joint User Association and Resource Allocation for Interference Mitigation and Load Balancing in HCNs. - Haiqiang Liu; Zhenxiang Gao; Xulong Shao; Xu Shan; Weihua Zhou (J. Commun., 2016)

Large-Scale Wi-Fi Hotspot Classification via Deep Learning. - Chang Xu 003; Kuiyu Chang; Khee-Chin Chua; Meishan Hu; Zhenxiang Gao (WWW (Companion Volume), 2017)

Tail Latency Optimized Resource Allocation in Fogbased 5G Networks. - Shaowen Zheng; Zhenxiang Gao; Xu Shan; Weihua Zhou; Yongming Wang (ISCC, 2018)

End-to-End Latency Optimization in Software Defined LEO Satellite Terrestrial Systems. - Shaowen Zheng; Zhenxiang Gao; Xu Shan; Weihua Zhou; Yongming Wang; Xiaohui Zhang (SINC, 2018)

Exploring IA Feasibility in MIMO Interference Networks: Equalized and Non-Equalized Antennas Approach. - Weihua Liu; Zhenxiang Gao; Ying Wang 034; Zhongfang Wang; Yongming Wang (IEICE Trans. Commun., 2018)

SoReC: A Social-Relation Based Centrality Measure in Mobile Social Networks. - Bowen Li 010; Zhenxiang Gao; Xu Shan; Weihua Zhou; Emilio Ferrara (ICT, 2019)

A social-relation-based game model for distributed clustering in cooperative wireless networks. - Bowen Li 010; Shunliang Zhang; Xu Shan; Yongming Wang; Zhenxiang Gao (MobiQuitous, 2019)

A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks. - Zhenxiang Gao; Rong Xu; Yiheng Pan; Pingjian Ding (AMIA, 2022)

KG-Predict: A knowledge graph computational framework for drug repurposing. - Zhenxiang Gao; Pingjian Ding; Rong Xu (J. Biomed. Informatics, 2022)

Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking. - Qinyong Wang; Zhenxiang Gao; Rong Xu (CoRR, 2023)

Graph Agent: Explicit Reasoning Agent for Graphs. - Qinyong Wang; Zhenxiang Gao; Rong Xu (CoRR, 2023)

A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs). - Lingyao Li; Jiayan Zhou; Zhenxiang Gao; Wenyue Hua; Lizhou Fan; Huizi Yu; Loni Hagen; Yongfeng Zhang; Themistocles L. Assimes; Libby Hemphill; Siyuan Ma (CoRR, 2024)

Precision Drug Repurposing (PDR): Patient-level modeling and prediction combining foundational knowledge graph with biobank data. - Çerag Oguztüzün; Zhenxiang Gao; Hui Li; Rong Xu (J. Biomed. Informatics, 2025)

KGiA: Drug repurposing through disease-aware knowledge graph augmentation. - Çerag Oguztüzün; Zhenxiang Gao; Hui Li; Rong Xu (J. Biomed. Informatics, 2025)