Guanjun Lin

According to our database, Guanjun Lin authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Boosting aquila optimizer by marine predators algorithm for combinatorial optimization.

Shuang Wang, Heming Jia, Abdelazim G. Hussien, Laith Abualigah, Guanjun Lin, Hongwei Wei, Zhenheng Lin, Krishna Gopal Dhal

J. Comput. Des. Eng., March, 2024

2023

Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis.

Huan Mei, Guanjun Lin, Da Fang, Jun Zhang

J. Inf. Secur. Appl., May, 2023

The application of neural network for software vulnerability detection: a review.

Yuhui Zhu, Guanjun Lin, Lipeng Song, Jun Zhang

Neural Comput. Appl., 2023

Intelligent detection of vulnerable functions in software through neural embedding-based code analysis.

Peng Zeng, Guanjun Lin, Jun Zhang, Ying Zhang

Int. J. Netw. Manag., 2023

Sensor Network Structure Recognition Based on P-law.

Chuiju You, Guanjun Lin, Jinming Qiu, Ning Cao, Yundong Sun, Russell Higgs

Comput. Syst. Sci. Eng., 2023

2022

CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation.

Shigang Liu, Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier Y. de Vel, Paul Montague, Yang Xiang

IEEE Trans. Dependable Secur. Comput., 2022

Deep Neural Embedding for Software Vulnerability Discovery: Comparison and Optimization.

Xue Yuan, Guanjun Lin, Yonghang Tai, Jun Zhang

Secur. Commun. Networks, 2022

2021

Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases.

Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier Y. de Vel, Paul Montague, Yang Xiang

IEEE Trans. Dependable Secur. Comput., 2021

Deep neural-based vulnerability discovery demystified: data, model and performance.

Guanjun Lin, Wei Xiao, Leo Yu Zhang, Shang Gao, Yonghang Tai, Jun Zhang

Neural Comput. Appl., 2021

A Context-Aware Neural Embedding for Function-Level Vulnerability Detection.

Hongwei Wei, Guanjun Lin, Lin Li, Heming Jia

Algorithms, 2021

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

Wirel. Commun. Mob. Comput., 2020

DeepBalance: Deep-Learning and Fuzzy Oversampling for Vulnerability Detection.

Shigang Liu, Guanjun Lin, Qing-Long Han, Sheng Wen, Jun Zhang, Yang Xiang

IEEE Trans. Fuzzy Syst., 2020

Software Vulnerability Detection Using Deep Neural Networks: A Survey.

Guanjun Lin, Sheng Wen, Qing-Long Han, Jun Zhang, Yang Xiang

Proc. IEEE, 2020

Cyber Resilience in Healthcare Digital Twin on Lung Cancer.

Jun Zhang, Lin Li, Guanjun Lin, Da Fang, Yonghang Tai, Jiechun Huang

IEEE Access, 2020

Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey.

Peng Zeng, Guanjun Lin, Lei Pan, Yonghang Tai, Jun Zhang

IEEE Access, 2020

2019

Deep Learning-Based Vulnerable Function Detection: A Benchmark.

Guanjun Lin, Wei Xiao, Jun Zhang, Yang Xiang

Proceedings of the Information and Communications Security - 21st International Conference, 2019

2018

Cross-Project Transfer Representation Learning for Vulnerable Function Discovery.

Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier Y. de Vel, Paul Montague

IEEE Trans. Ind. Informatics, 2018

2017

Statistical Twitter Spam Detection Demystified: Performance, Stability and Scalability.

Guanjun Lin, Nan Sun, Surya Nepal, Jun Zhang, Yang Xiang, Houcine Hassan

IEEE Access, 2017

POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects.

Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017