Approach to Mine the Modularity of Software Network Based on the Most Vital Nodes. - Bing Zhang 011; Guoyan Huang; Zhangqi Zheng; Jiadong Ren; Changzhen Hu (IEEE Access, 2018)

An Empirical Study on Predicting Blood Pressure Using Classification and Regression Trees. - Bing Zhang 011; Zhiyao Wei; Jiadong Ren; Yongqiang Cheng 001; Zhangqi Zheng (IEEE Access, 2018)

A Buffer Overflow Prediction Approach Based on Software Metrics and Machine Learning. - Jiadong Ren; Zhangqi Zheng; Qian Liu; Zhiyao Wei; Huaizhi Yan (Secur. Commun. Networks, 2019)

An approach for predicting multiple-type overflow vulnerabilities based on combination features and a time series neural network algorithm. - Zhangqi Zheng; Bing Zhang 011; Yongshan Liu; Jiadong Ren; Xuyang Zhao; Qian Wang 009 (Comput. Secur., 2022)

Microscopic robots with onboard digital control. - Michael F. Reynolds; Alejandro J. Cortese; Qingkun Liu; Zhangqi Zheng; Wei Wang 359; Samantha L. Norris; Sunwoo Lee 002; Marc Z. Miskin; Alyosha C. Molnar; Itai Cohen; Paul L. McEuen (Sci. Robotics, 2022)

Software defect prediction method based on the heterogeneous integration algorithm. - Zhangqi Zheng; Yongshan Liu; Bing Zhang 011; Jiadong Ren; Yongsheng Zong; Qian Wang 009; Xiaolei Yang; Qian Liu (J. Intell. Fuzzy Syst., 2023)

A multitype software buffer overflow vulnerability prediction method based on a software graph structure and a self-attentive graph neural network. - Zhangqi Zheng; Yongshan Liu; Bing Zhang 011; Xinqian Liu; Hongyan He; Xiang Gong (Inf. Softw. Technol., 2023)

A Spatio-Temporal Tensor Graph Neural Network-Based Method for Node-Link Prediction in Port Networks. - Zhixin Xia; Zhangqi Zheng; Feiyang Wei; Yongshan Liu; Lu Yu (IEEE Access, 2025)