Ranking Node Importance in Large-Scale Complex Network: From a Perspective of Local Abnormal Links. - Yirun Ruan; Songyang Lao; Junde Wang; Liang Bai (BigCom, 2017)

Efficient Algorithm for the Identification of Node Significance in Complex Network. - Yirun Ruan; Jun Tang 001; Yanli Hu; Haoran Wang; Liang Bai (IEEE Access, 2020)

Finding Influencers in Complex Networks: A Novel Method Based on Information Theory. - Yanli Hu; Jichao Li; Yirun Ruan (IEEE Syst. J., 2022)

Consistent Augmentation Learning for Generalizing CLIP to Unseen Domains. - Qinan Xuan; Tianyuan Yu; Liang Bai; Yirun Ruan (IEEE Access, 2024)

EIOA: A computing expectation-based influence evaluation method in weighted hypergraphs. - Qingtao Pan; Haosen Wang; Jun Tang 001; Zhaolin Lv; Zining Wang; Xian Wu; Yirun Ruan; Tianyuan Yv; Mingrui Lao (Inf. Process. Manag., 2024)

RDAT: an efficient regularized decoupled adversarial training mechanism. - Yishan Li; Yanming Guo; Yulun Wu; Yuxiang Xie; Mingrui Lao; Tianyuan Yu; Yirun Ruan (Int. J. Multim. Inf. Retr., 2024)

GLC: A dual-perspective approach for identifying influential nodes in complex networks. - Yirun Ruan; Sizheng Liu; Jun Tang 001; Yanming Guo; Tianyuan Yu (Expert Syst. Appl., 2025)

HTCM: A heat-transfer-based method for community modeling and mining. - Zining Wang; Qingtao Pan; Haosen Wang; Zhaolin Lv; Xian Wu; Yirun Ruan; Jun Tang 001 (Inf. Process. Manag., 2025)

Fed-GCC: Global classifier consensus for conventional/task-free federated class-incremental learning. - Dianqi Liu; Liang Bai; Yanming Guo; Jun Tang 001; Yirun Ruan; Da Li; Tianyuan Yu (Knowl. Based Syst., 2025)