Yonghe Tang

According to our database, Yonghe Tang authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

SABLM-VD: Vulnerability detection with a semantic-aware binary language model.

Qinghao Li, Tieming Liu, Wei Liu, Yonghe Tang, Chunling Liu, Weiyu Dong

Inf. Softw. Technol., 2026

Source Code Vulnerability Detection Technology Based on Code Semantic Contribution.

Chunling Liu, Yonghe Tang, Jian Lin, Le Liu

Proceedings of the 2026 International Conference on Communication Networks and Machine Learning (CNML), Chongqing, China, January 30, 2026

2025

Deep neural network modeling attacks on arbiter-PUF-based designs.

Huanwei Wang, Weining Hao, Yonghe Tang, Bing Zhu, Weiyu Dong, Wei Liu

Cybersecur., December, 2025

ADHS-EL: Dynamic ensemble learning with adversarial augmentation for accurate and robust network intrusion detection.

Huajuan Ren, Yonghe Tang, Shuai Ren, Ruimin Wang, Weiyu Dong

J. King Saud Univ. Comput. Inf. Sci., 2025

2023

DUEN: Dynamic ensemble handling class imbalance in network intrusion detection.

Huajuan Ren, Yonghe Tang, Weiyu Dong, Shuai Ren, Liehui Jiang

Expert Syst. Appl., November, 2023

BHMDC: A byte and hex n-gram based malware detection and classification method.

Yonghe Tang, Xuyan Qi, Jing Jing, Chunling Liu, Weiyu Dong

Comput. Secur., May, 2023

ALScA: A Framework for Using Auxiliary Learning Side-Channel Attacks to Model PUFs.

Wei Liu, Youwei Zhang, Yonghe Tang, Huanwei Wang, Qiang Wei

IEEE Trans. Inf. Forensics Secur., 2023

Dynamic Resampling Based Boosting Random Forest for Network Anomaly Traffic Detection.

Huajuan Ren, Ruimin Wang, Weiyu Dong, Junhao Li, Yonghe Tang

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023