Qingjun Yuan

According to our database, Qingjun Yuan authored at least 15 papers between 2016 and 2025.

Collaborative distances:

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

2025

AECR: Automatic attack technique intelligence extraction based on fine-tuned large language model.

Minghao Chen, Kaijie Zhu, Bin Lu, Ding Li, Qingjun Yuan, Yuefei Zhu

Comput. Secur., 2025

2024

Malicious Traffic Detection With Noise Labels Based on Cross-Modal Consistency.

Qingjun Yuan, Weina Niu, Yongjuan Wang, Gaopeng Gou, Bin Lu

IEEE Netw. Lett., June, 2024

MMCo: using multimodal deep learning to detect malicious traffic with noisy labels.

Qingjun Yuan, Gaopeng Gou, Yuefei Zhu, Yongjuan Wang

Frontiers Comput. Sci., February, 2024

MCRe: A Unified Framework for Handling Malicious Traffic With Noise Labels Based on Multidimensional Constraint Representation.

Qingjun Yuan, Gaopeng Gou, Yanbei Zhu, Yuefei Zhu, Gang Xiong, Yongjuan Wang

IEEE Trans. Inf. Forensics Secur., 2024

Screening Least Square Technique Assisted Multivariate Template Attack Against the Random Polynomial Generation of Dilithium.

Haopeng Fan, Hailong Zhang, Yongjuan Wang, Wenhao Wang, Yanbei Zhu, Haojin Zhang, Qingjun Yuan

IEEE Trans. Inf. Forensics Secur., 2024

Combine intra- and inter-flow: A multimodal encrypted traffic classification model driven by diverse features.

Xiangbin Wang, Qingjun Yuan, Yongjuan Wang, Gaopeng Gou, Chunxiang Gu, Gang Yu, Gang Xiong

Comput. Networks, 2024

ULDC: Unsupervised Learning-Based Data Cleaning for Malicious Traffic With High Noise.

Qingjun Yuan, Yuefei Zhu, Gang Xiong, Yongjuan Wang, Wentao Yu, Bin Luo, Gaopeng Gou

Comput. J., 2024

A Robust Malicious Traffic Detection Framework with Low-quality Labeled Data.

Lingfeng Yao, Weina Niu, Qingjun Yuan, Beibei Li, Yanfeng Zhang, Xiaosong Zhang

Proceedings of the IEEE International Conference on Communications, 2024

Gedss: A Generic Framework to Enhance Model Robustness for Intrusion Detection on Noisy Data.

Lingfeng Yao, Anran Hou, Weina Niu, Qingjun Yuan, Junpeng He, Yanfeng Zhang

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

BoAu: Malicious traffic detection with noise labels based on boundary augmentation.

Qingjun Yuan, Chang Liu, Wentao Yu, Yuefei Zhu, Gang Xiong, Yongjuan Wang, Gaopeng Gou

Comput. Secur., 2023

DEML: Data-Enhanced Meta-Learning Method for IoT APT Traffic Detection.

Jia Hu, Weina Niu, Qingjun Yuan, Lingfeng Yao, Junpeng He, Yanfeng Zhang, Xiaosong Zhang

Proceedings of the Digital Forensics and Cyber Crime - 14th EAI International Conference, 2023

2021

Information Security Field Event Detection Technology Based on SAtt-LSTM.

Wentao Yu, Xiaohui Huang, Qingjun Yuan, Mianzhu Yi, Sen An, Xiang Li

Secur. Commun. Networks, 2021

Correlation Power Analysis and Protected Implementation on Block Cipher RainDrop.

Zhixuan Gao, Shuang Wang, Yaoling Ding, An Wang, Qingjun Yuan

Proceedings of the Frontiers in Cyber Security - 4th International Conference, 2021

2020

Make It Directly: Event Extraction Based on Tree-LSTM and Bi-GRU.

Wentao Yu, Mianzhu Yi, Xiaohui Huang, Xiaoyu Yi, Qingjun Yuan

IEEE Access, 2020

2016

DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rank.

Qingjun Yuan, Junning Gao, Dongliang Wu, Shihua Zhang, Hiroshi Mamitsuka, Shanfeng Zhu

Bioinform., 2016