VulPecker: an automated vulnerability detection system based on code similarity analysis. - Zhen Li 027; Deqing Zou; Shouhuai Xu; Hai Jin 001; Hanchao Qi; Jie Hu (ACSAC, 2016)

SCVD: A New Semantics-Based Approach for Cloned Vulnerable Code Detection. - Deqing Zou; Hanchao Qi; Zhen Li 027; Song Wu 001; Hai Jin 001; Guozhong Sun; Sujuan Wang; Yuyi Zhong (DIMVA, 2017)

Automatically Identifying Security Bug Reports via Multitype Features Analysis. - Deqing Zou; Zhijun Deng; Zhen Li 027; Hai Jin 001 (ACISP, 2018)

VulDeePecker: A Deep Learning-Based System for Vulnerability Detection. - Zhen Li 027; Deqing Zou; Shouhuai Xu; Xinyu Ou; Hai Jin 001; Sujuan Wang; Zhijun Deng; Yuyi Zhong (NDSS, 2018)

SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities. - Zhen Li 027; Deqing Zou; Shouhuai Xu; Hai Jin 001; Yawei Zhu; Zhaoxuan Chen; Sujuan Wang; Jialai Wang (CoRR, 2018)

SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities. - Zhen Li 027; Deqing Zou; Shouhuai Xu; Hai Jin 001; Yawei Zhu; Zhaoxuan Chen; Sujuan Wang; Jialai Wang (IEEE DataPort, 2018)

AutoCVSS: An Approach for Automatic Assessment of Vulnerability Severity Based on Attack Process. - Deqing Zou; Ju Yang; Zhen Li 027; Hai Jin 001; Xiaojing Ma 002 (GPC, 2019)

A Comparative Study of Deep Learning-Based Vulnerability Detection System. - Zhen Li 027; Deqing Zou; Jing Tang; Zhihao Zhang; Mingqian Sun; Hai Jin 001 (IEEE Access, 2019)

μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection. - Deqing Zou; Sujuan Wang; Shouhuai Xu; Zhen Li 027; Hai Jin 001 (CoRR, 2020)

Generating Adversarial Examples of Source Code Classification Models via Q-Learning-Based Markov Decision Process. - Junfeng Tian; Chenxin Wang; Zhen Li 027; Yu Wen (QRS, 2021)

Towards Making Deep Learning-based Vulnerability Detectors Robust. - Zhen Li 027; Jing Tang; Deqing Zou; Qian Chen 019; Shouhuai Xu; Chao Zhang 008; Yichen Li; Hai Jin 001 (CoRR, 2021)

$ mu$μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection. - Deqing Zou; Sujuan Wang; Shouhuai Xu; Zhen Li 027; Hai Jin 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Interpreting Deep Learning-based Vulnerability Detector Predictions Based on Heuristic Searching. - Deqing Zou; Yawei Zhu; Shouhuai Xu; Zhen Li 027; Hai Jin 001; Hengkai Ye (ACM Trans. Softw. Eng. Methodol., 2021)

Generating Adversarial Source Programs Using Important Tokens-based Structural Transformations. - Penglong Chen; Zhen Li 027; Yu Wen; Lili Liu (ICECCS, 2022)

RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation. - Zhen Li 027; Qian (Guenevere) Chen; Chen Chen 001; Yayi Zou; Shouhuai Xu (ICSE, 2022)

Towards Improving Multiple Authorship Attribution of Source Code. - PengNan Hao; Zhen Li 027; Cui Liu; Yu Wen; Fanming Liu (QRS, 2022)

Investigating the impact of vulnerability datasets on deep learning-based vulnerability detectors. - Lili Liu; Zhen Li 027; Yu Wen; Penglong Chen (PeerJ Comput. Sci., 2022)

SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities. - Zhen Li 027; Deqing Zou; Shouhuai Xu; Hai Jin 001; Yawei Zhu; Zhaoxuan Chen (IEEE Trans. Dependable Secur. Comput., 2022)

VulDeeLocator: A Deep Learning-Based Fine-Grained Vulnerability Detector. - Zhen Li 027; Deqing Zou; Shouhuai Xu; Zhaoxuan Chen; Yawei Zhu; Hai Jin 001 (IEEE Trans. Dependable Secur. Comput., 2022)

Enhancing Deep Learning-based Vulnerability Detection by Building Behavior Graph Model. - Bin Yuan; Yifan Lu; Yilin Fang; Yueming Wu 001; Deqing Zou; Zhen Li 027; Zhi Li 048; Hai Jin 001 (ICSE, 2023)

Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers. - Zhen Li 027; Ruqian Zhang; Deqing Zou; Ning Wang 098; Yating Li; Shouhuai Xu; Chen Chen 001; Hai Jin 001 (ASE, 2023)

A comparative study of adversarial training methods for neural models of source code. - Zhen Li 027; Xiang Huang; Yangrui Li; Guenevere Chen (Future Gener. Comput. Syst., 2023)

Network intrusion detection based on the temporal convolutional model. - Ivandro Ortet Lopes; Deqing Zou; Ihsan H. Abdulqadder; Saeed Akbar; Zhen Li 027; Francis A. Ruambo; Wagner Pereira (Comput. Secur., 2023)

On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities. - Zhen Li 027; Ning Wang 098; Deqing Zou; Yating Li; Ruqian Zhang; Shouhuai Xu; Chao Zhang 008; Hai Jin 001 (ICSE, 2024)

Leakage of Authorization-Data in IoT Device Sharing: New Attacks and Countermeasure. - Bin Yuan; Maogen Yang; Zhen Xu; Qunjinming Chen; Zhanxiang Song; Zhen Li 027; Deqing Zou; Hai Jin 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Toward Automated Attack Discovery in SDN Controllers Through Formal Verification. - Bin Yuan; Chi Zhang; Jiajun Ren; Qunjinming Chen; Biang Xu; Qiankun Zhang; Zhen Li 027; Deqing Zou; Fan Zhang 024; Hai Jin 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Reducing the Impact of Time Evolution on Source Code Authorship Attribution via Domain Adaptation. - Zhen Li 027; Shasha Zhao; Chen Chen 001; Qian Chen 019 (ACM Trans. Softw. Eng. Methodol., 2024)

A Causal Learning Framework for Enhancing Robustness of Source Code Models. - Junyao Ye; Zhen Li 027; Xi Tang; Deqing Zou; Shouhuai Xu; Weizhong Qiang; Hai Jin 001 (Proc. ACM Softw. Eng., 2025)

MalPacDetector: An LLM-Based Malicious NPM Package Detector. - Jian Wang; Zhen Li 027; Jixiang Qu; Deqing Zou; Shouhuai Xu; Ziteng Xu; Zhenwei Wang; Hai Jin 001 (IEEE Trans. Inf. Forensics Secur., 2025)

SoK: Automated Vulnerability Repair: Methods, Tools, and Assessments. - Yiwei Hu; Zhen Li 027; Kedie Shu; Shenghua Guan; Deqing Zou; Shouhuai Xu; Bin Yuan; Hai Jin 001 (CoRR, 2025)