A systematic analysis of miRNA markers and classification algorithms for forensic body fluid identification. - Yang Liu 236; Hongxia He; Zhi-Xiong Xiao; Anquan Ji; Jian Ye; Qifan Sun; Yang Cao (Briefings Bioinform., 2021)

DGFormer: An Effective Dynamic Graph Transformer Based Anomaly Detection Model for IoT Time Series. - Hongxia He; Xi Li; Peng Chen 007; Juan Chen; Weijian Song; Qinghui Xi (CollaborateCom (2), 2023)

A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning. - Weijian Song; Peng Chen 007; Juan Chen; Yunni Xia; Xi Li; Qinghui Xi; Hongxia He (CollaborateCom (2), 2023)

Risk causation analysis and prevention strategy of working fluid systems based on accident data and complex network theory. - Jian Li; Zhao Yang; Hongxia He; Changzhen Guo; Yubo Chen 007; Yong Zhang (Reliab. Eng. Syst. Saf., 2024)

Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework. - Hongxia He; Xi Li; Peng Chen 007; Juan Chen; Ming Liu; Lei Wu (J. Cloud Comput., 2024)