Deep Belief Network Integrating Improved Kernel-Based Extreme Learning Machine for Network Intrusion Detection. - Zhendong Wang 002; Yong Zeng; Yaodi Liu; Dahai Li (IEEE Access, 2021)

Intrusion detection methods based on integrated deep learning model. - Zhendong Wang 002; Yaodi Liu; Daojing He; Sammy Chan (Comput. Secur., 2021)

Document-level relation extraction with two-stage dynamic graph attention networks. - Qi Sun; Kun Zhang 021; Kun Huang; Tiancheng Xu; Xun Li; Yaodi Liu (Knowl. Based Syst., 2023)

Intrusion detection of manifold regularized broad learning system based on LU decomposition. - Yaodi Liu; Kun Zhang; Zhendong Wang 002 (J. Supercomput., 2023)

A Two-Stage Boundary-Enhanced Contrastive Learning approach for nested named entity recognition. - Yaodi Liu; Kun Zhang; Rong Tong; Chenxi Cai; Dianying Chen; Xiaohe Wu (Expert Syst. Appl., 2025)

A Flat-Span Contrastive Learning Method for Nested Named Entity Recognition. - Yaodi Liu; Kun Zhang; Rong Tong; Chenxi Cai; Dianying Chen; Xiaohe Wu (Int. J. Asian Lang. Process., 2025)

A discontinuous NER model based on token prediction and contrastive learning to enhance span. - Yaodi Liu; Kun Zhang; Dianying Chen; Chenxi Cai; Xiaohe Wu; Rong Tong (J. Supercomput., 2025)