A hybrid security model for virtual machines in cloud environment. - Zhaogang Shu; Xiangmin Ji; Yaohua Lin (Int. J. Auton. Adapt. Commun. Syst., 2017)

Improving the Prediction of Adverse Drug Events Using Feature Fusion-Based Predictive Network Models. - Jin Li 012; Xiangmin Ji; Liyan Hua (IEEE Access, 2020)

A Survey of Adversarial Examples and Deep Learning Based Data Hiding. - Zijing Feng; Chengyu Liu; Xiangmin Ji; Xiaolong Liu 001 (SocialSec, 2021)

Improved Adverse Drug Event Prediction Through Information Component Guided Pharmacological Network Model (IC-PNM). - Xiangmin Ji; Lei Wang 169; Liyan Hua; Xueying Wang; Pengyue Zhang; Aditi Shendre; Weixing Feng; Jin Li 012; Lang Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

An improved hybrid graph method for drug side-effects prediction. - Xiang Li; Xiangmin Ji (ICBASE, 2024)

MFHG-DDI: An Enhanced Hybrid Graph Method Leveraging Multiple Features for Predicting Drug-Drug Interactions. - Xiang Li; Xiangmin Ji; Chengzhen Xu; Jie Hou; Xiaoyu Zhao; Guodong Peng (IEEE Access, 2024)