( * : Corresponding Author)

Paper 2025

[2024.02] Unknown Web Attack Threat Detection Based on Large Language Model ~ (Link)
Yijia Xu, Qiang Zhang, Huaxin Deng, Zhonglin Liu, Cheng Yang, Yong Fang
Applied Soft Computing, 2025

[2024.02] Automatic Optimization for Generating Adversarial Malware based on Prioritized Evolutionary Computing ~ (Link)
Yaochang Xu, Yong Fang, Yijia Xu, Zhan Wang
Applied Soft Computing, 2025

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Paper 2024

[2024.08] Multi-target label backdoor attacks on graph neural networks ~ (Link)
Kaiyang Wang, Huaxin Deng, Yijia Xu, Zhonglin Liu, Yong Fang
Pattern Recognition, 2024

[2024.06] Hacker group identification based on dynamic heterogeneous graph node update ~ (Link)
Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu, Weipeng Cao
Applied Soft Computing, 2024

[2024.05] Few-shot graph classification on cross-site scripting attacks detection ~ (Link)
Hongyu Pan, Yong Fang, Wenbo Guo, Yijia Xu^*, Changhui Wang
Computers & Security, 2024

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Paper 2023

[2023.11] PWAGAT: Potential Web attacker detection based on graph attention network ~ (Link)
Yijia Xu, Yong Fang, Zhonglin Liu, Qiang Zhang
Neurocomputing, 2023

[2023.11] TCCCD: Triplet-Based Cross-Language Code Clone Detection ~ (Link)
Yong Fang, Fangzheng Zhou, Yijia Xu^*, Zhonglin Liu
Applied Sciences, 2023

[2023.09] Research on application system log anomaly detection based on federated transfer learning ~ (Link)
Minchuan Zeng, Yong Fang, Yijia Xu^*
Journal of Sichuan University (Chinese journal), 2023

[2023.08] Enhancing Phishing Email Detection through Ensemble Learning and Undersampling ~ (Link)
Qinglin Qi, Zhan Wang, Yijia Xu, Yong Fang, Changhui Wang
Applied Sciences, 2023

[2023.06] Log Anomaly Detection Based on Hierarchical Graph Neural Network and Label Contrastive Coding ~ (Link)
Yong Fang, Zhiying Zhao, Yijia Xu^*, Zhonglin Liu
Computers, Materials & Continua, 2023

[2023.01] MFXSS: An effective XSS vulnerability detection method in JavaScript based on multi-feature model ~ (Link)
Zhonglin Liu, Yong Fang, Cheng Huang, Yijia Xu
Computers & Security, 2023

[2023.01] VulEye: A Novel Graph Neural Network Vulnerability Detection Approach for PHP Application ~ (Link)
Chun Lin, Yijia Xu^*, Yong Fang, Zhonglin Liu
Applied Sciences, 2023

Paper 2022

[2022.12] Cross-site Scripting Threat Intelligence Detection Based on Deep Learning ~ (Link)
Zhonglin Liu, Yong Fang, Yijia Xu^*
International Conference on Frontiers in Cyber Security(FCS), 2022
Best Student Paper Award

[2022.12] Black-Box Adversarial Windows Malware Generation via United Puppet-based Dropper and Genetic Algorithm ~ (Link)
Shaohua Wang, Yong Fang, Yijia Xu^*, Yaxian Wang
IEEE 24th Int Conf on High Performance Computing & Communications(HPCC), 2022

[2022.12] Web Attack Payload Identification and Interpretability Analysis Based on Graph Convolutional Network ~ (Link)
Yijia Xu, Yong Fang, Zhonglin Liu
IEEE 18th International Conference on Mobility, Sensing and Networking(MSN), 2022

[2022.10] HGHAN: Hacker group identification based on heterogeneous graph attention network ~ (Link)
Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu
Information Sciences, 2022

[2022.07] DGCNN-based Exploit Kit Attack Activities Detection Method ~ (Link)
Xiaole Liu, Yong Fang, Cheng Huang, Yijia Xu^*
Information Security Research (Chinese Journal), 2022

[2022.05] GAXSS: Effective Payload Generation Method to Detect XSS Vulnerabilities Based on Genetic Algorithm ~ (Link)
Zhonglin Liu, Yong Fang, Cheng Huang, Yijia Xu
Security and Communication Networks, 2022

Paper before Ph.D

[2020.06] Providing Email Privacy by Preventing Webmail from Loading Malicious XSS Payloads ~ (Link)
Yong Fang, Yijia Xu, Peng Jia, Cheng Huang
Applied Sciences, 2020

[2019.12] Against Malicious SSL/TLS Encryption: Identify Malicious Traffic Based on Random Forest ~ (Link)
Yong Fang, Yijia Xu, Cheng Huang, Liang Liu, Lei Zhang4th International Congress on Information and Communication Technology(ICICT), 2019

[2019.08] RLXSS: Optimizing XSS Detection Model to Defend Against Adversarial Attacks Based on Reinforcement Learning ~ (Link)
Yong Fang, Cheng Huang, Yijia Xu, Yang Li
Future Internet, 2019

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Degree Thesis

[2024.05] Web Attacker Discovery and Identification Based on Graph Neural Network
YijiaXu (Advisor: Yong Fang)
Ph.D Thesis, 2024

[2021.05] Research on XSS Vulnerability Mining and Malicious Exploitation Identification Technology for Webmail ~ (Link)
YijiaXu (Advisor: Yong Fang)
MS Thesis, 2021