A Method Based on Hierarchical Spatiotemporal Features for Trojan Traffic Detection. - Jiang Xie 004; Shuhao Li; Yongzheng Zhang 002; Xiaochun Yun; Jia Li (IPCCC, 2019)

A Method of HTTP Malicious Traffic Detection on Mobile Networks. - Jia Li; Xiaochun Yun; Mao Tian; Jiang Xie 004; Shuhao Li; Yongzheng Zhang 002; Yu Zhou 028 (WCNC, 2019)

HSTF-Model: An HTTP-based Trojan detection model via the Hierarchical Spatio-temporal Features of Traffics. - Jiang Xie 004; Shuhao Li; Xiaochun Yun; Yongzheng Zhang 002; Peng Chang (Comput. Secur., 2020)

VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network. - Hongbo Xu; Shuhao Li; Zhenyu Cheng 001; Rui Qin; Jiang Xie 004; Peishuai Sun (CollaborateCom (2), 2022)

TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN. - Hongbo Xu; Shuhao Li; Zhenyu Cheng 001; Rui Qin; Jiang Xie 004; Peishuai Sun (GLOBECOM, 2022)

Analysis and Detection Against Overlapping Phenomenon of Behavioral Attribute in Network Attacks. - Jiang Xie 004; Shuhao Li; Peishuai Sun (SciSec, 2022)

RAAM: A Restricted Adversarial Attack Model with Adding Perturbations to Traffic Features. - Peishuai Sun; Shuhao Li; Jiang Xie 004; Hongbo Xu; Zhenyu Cheng 001; Rui Qin (SEC, 2022)

Analysis and Detection against Network Attacks in the Overlapping Phenomenon of Behavior Attribute. - Jiang Xie 004; Shuhao Li; Yongzheng Zhang 002; Peishuai Sun; Hongbo Xu (Comput. Secur., 2022)

Detecting unknown HTTP-based malicious communication behavior via generated adversarial flows and hierarchical traffic features. - Xiaochun Yun; Jiang Xie 004; Shuhao Li; Yongzheng Zhang 002; Peishuai Sun (Comput. Secur., 2022)

DRDoSHunter: A Novel Approach Based on FDA and Inter-flow Features for DRDoS Detection. - Yifei Cheng; Yujia Zhu; Rui Qin; Jiang Xie 004; Yitong Cai (ISCC, 2023)

Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training. - Xiang Li; Juncheng Guo; Qige Song; Jiang Xie 004; Yafei Sang; Shuyuan Zhao; Yongzheng Zhang 002 (SECON, 2023)

GPMT: Generating practical malicious traffic based on adversarial attacks with little prior knowledge. - Peishuai Sun; Shuhao Li; Jiang Xie 004; Hongbo Xu; Zhenyu Cheng 001; Rong Yang (Comput. Secur., 2023)

ProxyKiller: An Anonymous Proxy Traffic Attack Model Based on Traffic Behavior Graphs. - Hongbo Xu; Zhenyu Cheng 001; Shuhao Li; Chenxu Wang; Peishuai Sun; Jiang Xie 004; Qingyun Liu 001 (ESORICS (2), 2024)

Let model keep evolving: Incremental learning for encrypted traffic classification. - Xiang Li; Jiang Xie 004; Qige Song; Yafei Sang; Yongzheng Zhang 002; Shuhao Li; Tianning Zang (Comput. Secur., 2024)

Towards Open-World DoH Tunnel Detection: A Dual-View Contrastive Learning Framework with Adaptive Feature Boundaries. - Beibei Feng; Qi Wang; Zhefeng Nan; Jiang Xie 004; Tianning Zang; Xiaolin Xu; Jingrun Ma (CSCWD, 2025)

FlowMiner: A Powerful Model Based on Flow Correlation Mining for Encrypted Traffic Classification. - Hongbo Xu; Chengxiang Si; Shuhao Li; Zhenyu Cheng 001; Chenxu Wang; Jiang Xie 004; Peishuai Sun; Qingyun Liu 001 (INFOCOM, 2025)

AdvTG: An Adversarial Traffic Generation Framework to Deceive DL-Based Malicious Traffic Detection Models. - Peishuai Sun; Xiaochun Yun; Shuhao Li; Tao Yin; Chengxiang Si; Jiang Xie 004 (WWW, 2025)

Sample analysis and multi-label classification for malicious sample datasets. - Jiang Xie 004; Shuhao Li; Xiaochun Yun; Chengxiang Si; Tao Yin (Comput. Networks, 2025)