| 2026 | ICCS | From Alert Flood to Actionable Intelligence: Reconstructing Attack Chains via TTP Sequences Using LLMs and RAG. | Ruijie Qi, Wenxin Le, Ruiqi Wang, Yingxiao Xiang, Yepeng Yao, Zhengwei Jiang |
| 2025 | CSCWD | AGLHunter: Automated Threat Hunting Using In-Context Learning-Enhanced LLM. | Mengjiao Cui, Zhengwei Jiang, Yepeng Yao, Chunyan Ma, Qiying He, Peian Yang, Huamin Feng |
| 2025 | CSCWD | From Threat Report to ATT&CK: Automated Extraction and Reasoning of TTPs Using Large Language Models. | Fangming Dong, Zhengwei Jiang, Chunyan Ma, Qiying He, Peian Yang, Yepeng Yao, Jian Wang |
| 2025 | CSCWD | A Variant and Flow-Level AutoML Method for IoT Malicious Traffic Detection. | Chang Gao, Xinqiang Zhao, Xuren Wang, Le Wang, Zijing Fan, Yepeng Yao, Zhengwei Jiang |
| 2025 | ISSRE | Detection and Analysis of Poisoned Image in Container Registry. | Siyuan Pang, Yongshan Wang, Yepeng Yao, Zhengwei Jiang, Zijing Fan, Baoxu Liu |
| 2024 | ESORICS | IntentObfuscator: A Jailbreaking Method via Confusing LLM with Prompts. | Shang Shang, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang |
| 2023 | CSCWD | Who Are Querying For Me? Egress Measurement For Open DNS Resolvers. | Meng Luo, Liling Xin, Yepeng Yao, Zhengwei Jiang, Qiuyun Wang, Wenchang Shi |
| 2023 | GLOBECOM | Self-paced and Reweighting PU Learning for Imbalanced Malicious Traffic Detection. | Zijing Fan, Yepeng Yao, Yuejin Du, Xiangyu Du |
| 2022 | WCNC | Effectiveness Evaluation of Evasion Attack on Encrypted Malicious Traffic Detection. | Jian Liu, Qingsai Xiao, Zhengwei Jiang, Yepeng Yao, Qiuyun Wang |
| 2021 | CSCWD | Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data. | Xingran Hao, Zhengwei Jiang, Qingsai Xiao, Qiuyun Wang, Yepeng Yao, Baoxu Liu, Jian Liu |
| 2021 | ICCS | Trojan Traffic Detection Based on Meta-learning. | Zijian Jia, Yepeng Yao, Qiuyun Wang, Xuren Wang, Baoxu Liu, Zhengwei Jiang |
| 2021 | SP | Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. | Yi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu, Chang Yue, Xiaozhong Liu, Kai Chen, Haixu Tang, Baoxu Liu |
| 2020 | ICCS | Towards Network Anomaly Detection Using Graph Embedding. | Qingsai Xiao, Jian Liu, Qiuyun Wang, Zhengwei Jiang, Xuren Wang, Yepeng Yao |
| 2020 | ISCC | Towards Comprehensive Detection of DNS Tunnels. | Meng Luo, Qiuyun Wang, Yepeng Yao, Xuren Wang, Peian Yang, Zhengwei Jiang |
| 2019 | ICCS | Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection. | Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu |
| 2019 | TrustCom | Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection. | Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu |
| 2019 | TrustCom | STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection. | Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu |
| 2018 | ISPA | A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. | Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu |
| 2018 | TrustCom | Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection. | Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu |