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Qingjun Yuan
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2020 – today
- 2024
- [j10]Qingjun Yuan, Yuefei Zhu, Gang Xiong, Yongjuan Wang, Wentao Yu, Bin Luo, Gaopeng Gou:
ULDC: Unsupervised Learning-Based Data Cleaning for Malicious Traffic With High Noise. Comput. J. 67(3): 976-987 (2024) - [j9]Xiangbin Wang, Qingjun Yuan, Yongjuan Wang, Gaopeng Gou, Chunxiang Gu, Gang Yu, Gang Xiong:
Combine intra- and inter-flow: A multimodal encrypted traffic classification model driven by diverse features. Comput. Networks 245: 110403 (2024) - [j8]Qingjun Yuan, Gaopeng Gou, Yuefei Zhu, Yongjuan Wang:
MMCo: using multimodal deep learning to detect malicious traffic with noisy labels. Frontiers Comput. Sci. 18(1): 181809 (2024) - [j7]Qingjun Yuan, Weina Niu, Yongjuan Wang, Gaopeng Gou, Bin Lu:
Malicious Traffic Detection With Noise Labels Based on Cross-Modal Consistency. IEEE Netw. Lett. 6(2): 148-151 (2024) - [j6]Qingjun Yuan, Gaopeng Gou, Yanbei Zhu, Yuefei Zhu, Gang Xiong, Yongjuan Wang:
MCRe: A Unified Framework for Handling Malicious Traffic With Noise Labels Based on Multidimensional Constraint Representation. IEEE Trans. Inf. Forensics Secur. 19: 133-147 (2024) - [j5]Haopeng Fan, Hailong Zhang, Yongjuan Wang, Wenhao Wang, Yanbei Zhu, Haojin Zhang, Qingjun Yuan:
Screening Least Square Technique Assisted Multivariate Template Attack Against the Random Polynomial Generation of Dilithium. IEEE Trans. Inf. Forensics Secur. 19: 7118-7132 (2024) - [c4]Lingfeng Yao, Anran Hou, Weina Niu, Qingjun Yuan, Junpeng He, Yanfeng Zhang:
Gedss: A Generic Framework to Enhance Model Robustness for Intrusion Detection on Noisy Data. CSCWD 2024: 1645-1650 - [c3]Lingfeng Yao, Weina Niu, Qingjun Yuan, Beibei Li, Yanfeng Zhang, Xiaosong Zhang:
A Robust Malicious Traffic Detection Framework with Low-quality Labeled Data. ICC 2024: 2719-2724 - 2023
- [j4]Qingjun Yuan, Chang Liu, Wentao Yu, Yuefei Zhu, Gang Xiong, Yongjuan Wang, Gaopeng Gou:
BoAu: Malicious traffic detection with noise labels based on boundary augmentation. Comput. Secur. 131: 103300 (2023) - [c2]Jia Hu, Weina Niu, Qingjun Yuan, Lingfeng Yao, Junpeng He, Yanfeng Zhang, Xiaosong Zhang:
DEML: Data-Enhanced Meta-Learning Method for IoT APT Traffic Detection. ICDF2C (1) 2023: 212-226 - 2021
- [j3]Wentao Yu, Xiaohui Huang, Qingjun Yuan, Mianzhu Yi, Sen An, Xiang Li:
Information Security Field Event Detection Technology Based on SAtt-LSTM. Secur. Commun. Networks 2021: 5599962:1-5599962:8 (2021) - [c1]Zhixuan Gao, Shuang Wang, Yaoling Ding, An Wang, Qingjun Yuan:
Correlation Power Analysis and Protected Implementation on Block Cipher RainDrop. FCS 2021: 308-323 - 2020
- [j2]Wentao Yu, Mianzhu Yi, Xiaohui Huang, Xiaoyu Yi, Qingjun Yuan:
Make It Directly: Event Extraction Based on Tree-LSTM and Bi-GRU. IEEE Access 8: 14344-14354 (2020)
2010 – 2019
- 2016
- [j1]Qingjun Yuan, Junning Gao, Dongliang Wu, Shihua Zhang, Hiroshi Mamitsuka, Shanfeng Zhu:
DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rank. Bioinform. 32(12): 18-27 (2016)
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