A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. - Mingyi Chen; Yepeng Yao; Junrong Liu; Bo Jiang 013; Liya Su; Zhigang Lu 002 (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-Based Network Traffic. - Yepeng Yao; Liya Su; Zhigang Lu 002 (MILCOM, 2018)

Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection. - Liya Su; Yepeng Yao; Ning Li; Junrong Liu; Zhigang Lu 002; Baoxu Liu (TrustCom/BigDataSE, 2018)

Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection. - Yepeng Yao; Liya Su; Chen Zhang; Zhigang Lu 002; Baoxu Liu (ICCS (2), 2019)

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 002; Baoxu Liu (TrustCom/BigDataSE, 2019)

STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection. - Yepeng Yao; Liya Su; Zhigang Lu 002; Baoxu Liu (TrustCom/BigDataSE, 2019)

Towards Network Anomaly Detection Using Graph Embedding. - Qingsai Xiao; Jian Liu 008; Qiuyun Wang; Zhengwei Jiang; Xuren Wang; Yepeng Yao (ICCS (4), 2020)

Towards Comprehensive Detection of DNS Tunnels. - Meng Luo 006; Qiuyun Wang; Yepeng Yao; Xuren Wang; Peian Yang; Zhengwei Jiang (ISCC, 2020)

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 008 (CSCWD, 2021)

Trojan Traffic Detection Based on Meta-learning. - Zijian Jia; Yepeng Yao; Qiuyun Wang; Xuren Wang; Baoxu Liu; Zhengwei Jiang (ICCS (2), 2021)

Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. - Yi Chen 024; Yepeng Yao; XiaoFeng Wang 001; Dandan Xu; Chang Yue; Xiaozhong Liu; Kai Chen 012; Haixu Tang; Baoxu Liu (SP, 2021)

Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data. - Zhewei Liu; Anshu Zhang; Yepeng Yao; Wenzhong Shi; Xiao Huang 003; Xiaoqi Shen (Int. J. Geogr. Inf. Sci., 2021)

Seeing the Forest for the Trees: Understanding Security Hazards in the 3GPP Ecosystem through Intelligent Analysis on Change Requests. - Yi Chen 024; Di Tang 001; Yepeng Yao; Mingming Zha 001; XiaoFeng Wang 001; Xiaozhong Liu; Haixu Tang; Dongfang Zhao 010 (USENIX Security Symposium, 2022)

Effectiveness Evaluation of Evasion Attack on Encrypted Malicious Traffic Detection. - Jian Liu 008; Qingsai Xiao; Zhengwei Jiang; Yepeng Yao; Qiuyun Wang (WCNC, 2022)

Measurement for encrypted open resolvers: Applications and security. - Meng Luo 006; Yepeng Yao; Liling Xin; Zhengwei Jiang; Qiuyun Wang; Wenchang Shi (Comput. Networks, 2022)

Who Are Querying For Me? Egress Measurement For Open DNS Resolvers. - Meng Luo 006; Liling Xin; Yepeng Yao; Zhengwei Jiang; Qiuyun Wang; Wenchang Shi (CSCWD, 2023)

Self-paced and Reweighting PU Learning for Imbalanced Malicious Traffic Detection. - Zijing Fan; Yepeng Yao; Yuejin Du; Xiangyu Du (GLOBECOM, 2023)

Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning. - Yi Chen 024; Di Tang 001; Yepeng Yao; Mingming Zha 001; XiaoFeng Wang 001; Xiaozhong Liu; Haixu Tang; Baoxu Liu (USENIX Security Symposium, 2023)

M3F: A novel multi-session and multi-protocol based malware traffic fingerprinting. - Jian Liu 008; Qingsai Xiao; Liling Xin; Qiuyun Wang; Yepeng Yao; Zhengwei Jiang (Comput. Networks, 2023)

A Bi-LSTM approach for modelling movement uncertainty of crowdsourced human trajectories under complex urban environments. - Yue Yu 003; Yepeng Yao; Zhewei Liu; Zhenlin An; Bi Yu Chen; Liang Chen 007; Ruizhi Chen (Int. J. Appl. Earth Obs. Geoinformation, 2023)

IntentObfuscator: A Jailbreaking Method via Confusing LLM with Prompts. - Shang Shang; Zhongjiang Yao; Yepeng Yao; Liya Su; Zijing Fan; Xiaodan Zhang; Zhengwei Jiang (ESORICS (4), 2024)

AGLHunter: Automated Threat Hunting Using In-Context Learning-Enhanced LLM. - Mengjiao Cui; Zhengwei Jiang; Yepeng Yao; Chunyan Ma; Qiying He; Peian Yang; Huamin Feng (CSCWD, 2025)

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 (CSCWD, 2025)

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 (CSCWD, 2025)

Can LLMs deeply detect complex malicious queries? A framework for jailbreaking via obfuscating intent. - Shang Shang; Xinqiang Zhao; Zhongjiang Yao; Yepeng Yao; Liya Su; Zijing Fan; Xiaodan Zhang; Zhengwei Jiang (Comput. J., 2025)