POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects. - Guanjun Lin; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Yang Xiang 001 (CCS, 2017)

Statistical Twitter Spam Detection Demystified: Performance, Stability and Scalability. - Guanjun Lin; Nan Sun 002; Surya Nepal; Jun Zhang 010; Yang Xiang 001; Houcine Hassan (IEEE Access, 2017)

Cross-Project Transfer Representation Learning for Vulnerable Function Discovery. - Guanjun Lin; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Yang Xiang 001; Olivier Y. de Vel; Paul Montague (IEEE Trans. Ind. Informatics, 2018)

Deep Learning-Based Vulnerable Function Detection: A Benchmark. - Guanjun Lin; Wei Xiao; Jun Zhang 010; Yang Xiang 001 (ICICS, 2019)

Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey. - Peng Zeng; Guanjun Lin; Lei Pan 002; Yonghang Tai; Jun Zhang 010 (IEEE Access, 2020)

Cyber Resilience in Healthcare Digital Twin on Lung Cancer. - Jun Zhang 065; Lin Li 066; Guanjun Lin; Da Fang; Yonghang Tai; Jiechun Huang (IEEE Access, 2020)

Software Vulnerability Detection Using Deep Neural Networks: A Survey. - Guanjun Lin; Sheng Wen; Qing-Long Han; Jun Zhang 010; Yang Xiang 001 (Proc. IEEE, 2020)

DeepBalance: Deep-Learning and Fuzzy Oversampling for Vulnerability Detection. - Shigang Liu; Guanjun Lin; Qing-Long Han; Sheng Wen; Jun Zhang 010; Yang Xiang 001 (IEEE Trans. Fuzzy Syst., 2020)

Neural Model Stealing Attack to Smart Mobile Device on Intelligent Medical Platform. - Liqiang Zhang; Guanjun Lin; Bixuan Gao; Zhibao Qin; Yonghang Tai; Jun Zhang 065 (Wirel. Commun. Mob. Comput., 2020)

A Context-Aware Neural Embedding for Function-Level Vulnerability Detection. - Hongwei Wei; Guanjun Lin; Lin Li 066; Heming Jia (Algorithms, 2021)

Deep neural-based vulnerability discovery demystified: data, model and performance. - Guanjun Lin; Wei Xiao; Leo Yu Zhang; Shang Gao 003; Yonghang Tai; Jun Zhang 010 (Neural Comput. Appl., 2021)

Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases. - Guanjun Lin; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Olivier Y. de Vel; Paul Montague; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Deep Neural Embedding for Software Vulnerability Discovery: Comparison and Optimization. - Xue Yuan; Guanjun Lin; Yonghang Tai; Jun Zhang 065 (Secur. Commun. Networks, 2022)

CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation. - Shigang Liu; Guanjun Lin; Lizhen Qu; Jun Zhang 010; Olivier Y. de Vel; Paul Montague; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2022)

Sensor Network Structure Recognition Based on P-law. - Chuiju You; Guanjun Lin; Jinming Qiu; Ning Cao 002; Yundong Sun; Russell Higgs (Comput. Syst. Sci. Eng., 2023)

Intelligent detection of vulnerable functions in software through neural embedding-based code analysis. - Peng Zeng; Guanjun Lin; Jun Zhang 065; Ying Zhang (Int. J. Netw. Manag., 2023)

The application of neural network for software vulnerability detection: a review. - Yuhui Zhu; Guanjun Lin; Lipeng Song; Jun Zhang 065 (Neural Comput. Appl., 2023)

Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis. - Huan Mei; Guanjun Lin; Da Fang; Jun Zhang 065 (J. Inf. Secur. Appl., 2023)

Software vulnerable functions discovery based on code composite feature. - Xue Yuan; Guanjun Lin; Huan Mei; Yonghang Tai; Jun Zhang 065 (J. Inf. Secur. Appl., 2024)

Boosting aquila optimizer by marine predators algorithm for combinatorial optimization. - Shuang Wang 013; Heming Jia; Abdelazim G. Hussien; Laith Abualigah; Guanjun Lin; Hongwei Wei; Zhenheng Lin; Krishna Gopal Dhal (J. Comput. Des. Eng., 2024)

Multi-theme hierarchical monitoring method for wireless sensor networks. - Chuiju You; Guanjun Lin; Lili Sun; Shaoyu Zhao (Wirel. Networks, 2024)

A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions. - Guanjun Lin; Hang Zhao; Yufeng Chi (Ecol. Informatics, 2025)

Enhancing vulnerability detection efficiency: An exploration of light-weight LLMs with hybrid code features. - Jianing Liu; Guanjun Lin; Huan Mei; Fan Yang; Yonghang Tai (J. Inf. Secur. Appl., 2025)