( * : 通讯作者)

2026年论文

[2026.08] TARL：面向安全加密流量分析的多任务自适应表示学习
TARL: Multi-task adaptive representation learning for secure encrypted traffic analysis ~ (链接)
Mengmeng Ge, Likun Liu, Zhaowei Zhang, Hongyu Wang, Xiangzhan Yu, Yijia Xu, Ruitao Feng, Zhichao Hu
Computer Networks, 2026

[2026.07] NPM 恶意软件包检测工具的效果如何？一项大规模实证研究
How Effective Are NPM Malicious Package Detectors? A Large-Scale Empirical Study ~ (待发表)
Wenbo Guo, Zhongwen Chen, Zhengzi Xu, Chengwei Liu, Ming Kang, Weisong Sun, Chengyue Liu, Yijia Xu, Shiwen Song, Yang liu
IEEE/ACM International Conference on Automated Software Engineering(ASE), 2026

[2026.06] 融合双视图对比学习的异构图结构优化及其在欺诈检测中的应用
Heterogeneous Graph Structure Optimization with Dual-View Contrastive Learning for Fraud Detection ~ (链接)
Yan Wu, Chengling Hao, Yijia Xu, Yaofeng Hu, Zhonglin Liu
Applied Sciences, 2026

[2026.06] CuFuzz：API 知识图谱覆盖率驱动的 CUDA 库模糊测试框架
CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries ~ (链接)
Ximing Fan, Yong Fang^*, Peng Jia, Yang Liu, Yijia Xu^*, Xi Peng, Yuhao Zhou
The ACM International Conference on the Foundations of Software Engineering(FSE), 2026

[2026.03] 一个触发器，多个受害者：针对图神经网络的干净标签邻域后门攻击
One Trigger, Multiple Victims: Clean-Label Neighborhood Backdoor Attacks on Graph Neural Networks ~ (链接)
Huaxin Deng, Yong Fang, Qiang Zhang, Chengwei Liu, Yang Liu, Yijia Xu^*
IEEE Transactions on Information Forensics & Security, 2026

[2026.02] 针对深度学习检测模型的高效隐蔽 XSS 对抗样本生成方法
An Effective and Stealthy XSS Adversarial Sample Generation Method Against Deep Learning Detection Models ~ (链接)
Zhan Wang, Yong Fang, Yaochang Xu, Yijia Xu
Neurocomputing, 2026

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2025年论文

[2025.12] MPS-Fuzz：基于多输入多输出单元的增强型细粒度模糊测试
MPS-Fuzz: An Enhanced Fine-Grained Fuzzing Based on Units with Multiple Inputs and Outputs ~ (链接)
Ximing Fan, Yong Fang, Peng Jia, Hongwei Li, Xi Peng, Yijia Xu, Qinying Wang, Binbin Zhao, Shouling Ji
IEEE Transactions on Dependable and Secure Computing, 2025

[2025.11] 融合语义可信度与多粒度对比学习的短视频虚假新闻检测
Fake News Detection in Short Videos by Integrating Semantic Credibility and Multi-Granularity Contrastive Learning ~ (链接)
Yukun Yang, Xiwei Shi, Haoxu Li, Buwei Fan, Yijia Xu^*
Applied Sciences, 2025

[2025.10] 基于动态时序图预训练的网页篡改检测
Web Page Tampering Detection Based on Dynamic Temporal Graph Pre-training ~ (链接)
Yijia Xu, Qiang Zhang, Kaiyang Wang, Zhonglin Liu, Cheng Huang, Yong Fang
IEEE Transactions on Dependable and Secure Computing, 2025

[2025.08] 基于路径约束与偏离路径修正的定向模糊测试
Directed Fuzzing Based on Path Constraints and Deviation Path Correction ~ (链接)
Hongsheng Zuo, Yong Fang, Peng Jia, Ximing Fan, Xi Peng, Yijia Xu, Rui Pan
Information and Software Technology, 2025

[2025.07] 智能体行为：数字时代以智能体为中心的在线生态系统的监管对象
Agent Behavior: The Regulatory Object of the Agent-Centric Online Ecosystem in Digital Age ~ (链接)
Qiang Zhang, Pei Yan, Yijia Xu^*, Xinfeng Li, Hongyi Cai, Chuanpo Fu, Yong Fang, Yang Liu
29th International Conference on Engineering of Complex Computer Systems, 2025

[2025.07] 大语言模型智能体系统的访问控制愿景
A Vision for Access Control in LLM Agent Systems ~ (链接)
Dong Huang, Jie Li, Hongyi Cai, Xinfeng Li, Yijia Xu, Wenbing Tang, Jie Zhang, Yang Liu
29th International Conference on Engineering of Complex Computer Systems, 2025

[2025.06] 虚假数据注入攻击检测：基于加密机制的受保护联邦深度学习
Detection of False Data Injection Attacks: A Protected Federated Deep Learning Based On Encryption Mechanism ~ (链接)
Chenxi Lin, Qun Zhou, Zhan Wang, Ximing Fan, Yaochang Xu, Yijia Xu
Computers, Materials & Continua, 2025

[2025.06] 基于图神经网络的 Go 源代码漏洞检测方法
Go Source Code Vulnerability Detection Method Based on Graph Neural Network ~ (链接)
Lisha Yuan, Yong Fang, Qiang Zhang, Zhonglin Liu, Yijia Xu^*
Applied Sciences, 2025

[2025.04] SpearBot：利用大语言模型与生成—评议框架生成鱼叉式钓鱼邮件
SpearBot: Leveraging Large Language Models in a Generative-Critique Framework for Spear-Phishing Email Generation ~ (链接)
Qinglin Qi, Yun Luo, Yijia Xu^*, Wenbo Guo, Yong Fang^*
Information Fusion, 2025

[2025.02] 基于大语言模型的未知 Web 攻击威胁检测
Unknown Web Attack Threat Detection Based on Large Language Model ~ (链接)
Yijia Xu, Qiang Zhang, Huaxin Deng, Zhonglin Liu, Cheng Yang, Yong Fang
Applied Soft Computing, 2025

[2025.02] 基于优先级进化计算的对抗恶意软件生成自动优化
Automatic Optimization for Generating Adversarial Malware based on Prioritized Evolutionary Computing ~ (链接)
Yaochang Xu, Yong Fang, Yijia Xu, Zhan Wang
Applied Soft Computing, 2025

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2024年论文

[2024.08] 针对图神经网络的多目标标签后门攻击
Multi-target label backdoor attacks on graph neural networks ~ (链接)
Kaiyang Wang, Huaxin Deng, Yijia Xu, Zhonglin Liu, Yong Fang
Pattern Recognition, 2024

[2024.06] 基于动态异构图节点更新的黑客组织识别
Hacker group identification based on dynamic heterogeneous graph node update ~ (链接)
Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu, Weipeng Cao
Applied Soft Computing, 2024

[2024.05] 面向跨站脚本攻击检测的小样本图分类
Few-shot graph classification on cross-site scripting attacks detection ~ (链接)
Hongyu Pan, Yong Fang, Wenbo Guo, Yijia Xu^*, Changhui Wang
Computers & Security, 2024

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2023年论文

[2023.11] PWAGAT：基于图注意力网络的潜在 Web 攻击者检测
PWAGAT: Potential Web attacker detection based on graph attention network ~ (链接)
Yijia Xu, Yong Fang, Zhonglin Liu, Qiang Zhang
Neurocomputing, 2023

[2023.11] TCCCD：基于三元组的跨语言代码克隆检测
TCCCD: Triplet-Based Cross-Language Code Clone Detection ~ (链接)
Yong Fang, Fangzheng Zhou, Yijia Xu^*, Zhonglin Liu
Applied Sciences, 2023

[2023.09] 基于联邦迁移学习的应用系统日志异常检测研究
Research on application system log anomaly detection based on federated transfer learning ~ (链接)
Minchuan Zeng, Yong Fang, Yijia Xu^*
Journal of Sichuan University (Chinese journal), 2023

[2023.08] 通过集成学习与欠采样增强钓鱼邮件检测
Enhancing Phishing Email Detection through Ensemble Learning and Undersampling ~ (链接)
Qinglin Qi, Zhan Wang, Yijia Xu, Yong Fang, Changhui Wang
Applied Sciences, 2023

[2023.06] 基于层次化图神经网络与标签对比编码的日志异常检测
Log Anomaly Detection Based on Hierarchical Graph Neural Network and Label Contrastive Coding ~ (链接)
Yong Fang, Zhiying Zhao, Yijia Xu^*, Zhonglin Liu
Computers, Materials & Continua, 2023

[2023.01] MFXSS：基于多特征模型的 JavaScript XSS 漏洞有效检测方法
MFXSS: An effective XSS vulnerability detection method in JavaScript based on multi-feature model ~ (链接)
Zhonglin Liu, Yong Fang, Cheng Huang, Yijia Xu
Computers & Security, 2023

[2023.01] VulEye：面向 PHP 应用的新型图神经网络漏洞检测方法
VulEye: A Novel Graph Neural Network Vulnerability Detection Approach for PHP Application ~ (链接)
Chun Lin, Yijia Xu^*, Yong Fang, Zhonglin Liu
Applied Sciences, 2023
最佳论文奖

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2022年论文

[2022.12] 基于深度学习的跨站脚本威胁情报检测
Cross-site Scripting Threat Intelligence Detection Based on Deep Learning ~ (链接)
Zhonglin Liu, Yong Fang, Yijia Xu^*
International Conference on Frontiers in Cyber Security(FCS), 2022
最佳学生论文奖

[2022.12] 结合基于傀儡的投放器与遗传算法生成黑盒对抗 Windows 恶意软件
Black-Box Adversarial Windows Malware Generation via United Puppet-based Dropper and Genetic Algorithm ~ (链接)
Shaohua Wang, Yong Fang, Yijia Xu^*, Yaxian Wang
IEEE 24th Int Conf on High Performance Computing & Communications(HPCC), 2022

[2022.12] 基于图卷积网络的 Web 攻击载荷识别与可解释性分析
Web Attack Payload Identification and Interpretability Analysis Based on Graph Convolutional Network ~ (链接)
Yijia Xu, Yong Fang, Zhonglin Liu
IEEE 18th International Conference on Mobility, Sensing and Networking(MSN), 2022

[2022.10] HGHAN：基于异构图注意力网络的黑客组织识别
HGHAN: Hacker group identification based on heterogeneous graph attention network ~ (链接)
Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu
Information Sciences, 2022

[2022.07] 基于 DGCNN 的漏洞利用工具包攻击活动检测方法
DGCNN-based Exploit Kit Attack Activities Detection Method ~ (链接)
Xiaole Liu, Yong Fang, Cheng Huang, Yijia Xu^*
Information Security Research (Chinese Journal), 2022

[2022.05] GAXSS：基于遗传算法的 XSS 漏洞检测有效载荷生成方法
GAXSS: Effective Payload Generation Method to Detect XSS Vulnerabilities Based on Genetic Algorithm ~ (链接)
Zhonglin Liu, Yong Fang, Cheng Huang, Yijia Xu
Security and Communication Networks, 2022

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攻读博士学位前的论文

[2020.06] 通过阻止 Webmail 加载恶意 XSS 载荷保护电子邮件隐私
Providing Email Privacy by Preventing Webmail from Loading Malicious XSS Payloads ~ (链接)
Yong Fang, Yijia Xu, Peng Jia, Cheng Huang
Applied Sciences, 2020

[2019.12] 对抗恶意 SSL/TLS 加密：基于随机森林识别恶意流量
Against Malicious SSL/TLS Encryption: Identify Malicious Traffic Based on Random Forest ~ (链接)
Yong Fang, Yijia Xu, Cheng Huang, Liang Liu, Lei Zhang
4th International Congress on Information and Communication Technology(ICICT), 2019

[2019.08] RLXSS：基于强化学习优化 XSS 检测模型以防御对抗攻击
RLXSS: Optimizing XSS Detection Model to Defend Against Adversarial Attacks Based on Reinforcement Learning ~ (链接)
Yong Fang, Cheng Huang, Yijia Xu, Yang Li
Future Internet, 2019

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学位论文

[2024.05] 基于图神经网络的 Web 攻击者发现与识别
Web Attacker Discovery and Identification Based on Graph Neural Network
Yijia Xu (导师：方勇)
博士学位论文, 2024

[2021.05] 面向 Webmail 的 XSS 漏洞挖掘与恶意利用识别技术研究
Research on XSS Vulnerability Mining and Malicious Exploitation Identification Technology for Webmail ~ (链接)
Yijia Xu (导师：方勇)
硕士学位论文, 2021