Literature survey of deep learning-based vulnerability analysis on source code. - Abubakar Omari Abdallah Semasaba; Wei Zheng 006; Xiaoxue Wu 001; Samuel Akwasi Agyemang (IET Softw., 2020)

Automatically Identifying Bug Reports with Tactical Vulnerabilities by Deep Feature Learning. - Wei Zheng 006; Manqing Zhang; Hui Tang; Yuanfang Cai; Xiang Chen 005; Xiaoxue Wu 001; Abubakar Omari Abdallah Semasaba (ISSRE, 2021)

Representation vs. Model: What Matters Most for Source Code Vulnerability Detection. - Wei Zheng 006; Abubakar Omari Abdallah Semasaba; Xiaoxue Wu 001; Samuel Akwasi Agyemang; Tao Liu; Yuan Ge (SANER, 2021)

RNNtcs: A test case selection method for Recurrent Neural Networks. - Xiaoxue Wu 001; Jinjin Shen; Wei Zheng 006; Lidan Lin; Yulei Sui; Abubakar Omari Abdallah Semasaba (Knowl. Based Syst., 2023)

An empirical evaluation of deep learning-based source code vulnerability detection: Representation versus models. - Abubakar Omari Abdallah Semasaba; Wei Zheng 006; Xiaoxue Wu 001; Samuel Akwasi Agyemang; Tao Liu; Yuan Ge (J. Softw. Evol. Process., 2023)