Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network. - Huan-huan Wang; Long Yu 001; Shengwei Tian; Yongfang Peng; Xin-jun Pei (Appl. Intell., 2019)

AMalNet: A deep learning framework based on graph convolutional networks for malware detection. - Xin-jun Pei; Long Yu 001; Shengwei Tian (Comput. Secur., 2020)

Malicious webpages analysis and detection algorithm based on BiLSTM. - Huanhuan Wang; Long Yu 001; Shengwei Tian; Shiqi Luo; Xin-jun Pei (Int. J. Electron. Bus., 2020)

Combining multi-features with a neural joint model for Android malware detection. - Xin-jun Pei; Long Yu 001; Shengwei Tian; Huan-huan Wang; Yongfang Peng (J. Intell. Fuzzy Syst., 2020)

A Two-Stream Network Based on Capsule Networks and Sliced Recurrent Neural Networks for DGA Botnet Detection. - Xinjun Pei; Shengwei Tian; Long Yu 001; Huanhuan Wang; Yongfang Peng (J. Netw. Syst. Manag., 2020)

Malicious URL Detection Based on a Parallel Neural Joint Model. - Jianting Yuan; Guanxin Chen; Shengwei Tian; Xinjun Pei (IEEE Access, 2021)

Efficient Privacy Preserving Graph Neural Network for Node Classification. - Xinjun Pei; Xiaoheng Deng; Shengwei Tian; Kaiping Xue (ICASSP, 2023)

Parallel Gradient Blend for Class Incremental Learning. - Yunlong Zhao 003; Xiaoheng Deng; Xinjun Pei; Xuechen Chen; Deng Li 001 (ICIP, 2023)

A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection. - Xinjun Pei; Xiaoheng Deng; Shengwei Tian; Lan Zhang 005; Kaiping Xue (IEEE Trans. Dependable Secur. Comput., 2023)

MDHE: A Malware Detection System Based on Trust Hybrid User-Edge Evaluation in IoT Network. - Xiaoheng Deng; Haowen Tang; Xinjun Pei; Deng Li 001; Kaiping Xue (IEEE Trans. Inf. Forensics Secur., 2023)

Flow Topology-Based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks. - Xiaoheng Deng; Jincai Zhu; Xinjun Pei; Lan Zhang 005; Zhen Ling 001; Kaiping Xue (IEEE Trans. Netw. Serv. Manag., 2023)

Edge-Based IIoT Malware Detection for Mobile Devices With Offloading. - Xiaoheng Deng; Xinjun Pei; Shengwei Tian; Lan Zhang 005 (IEEE Trans. Ind. Informatics, 2023)

A verifiable and privacy-preserving blockchain-based federated learning approach. - Irshad Ullah; Xiaoheng Deng; Xinjun Pei; Ping Jiang 001; Husnain Mushtaq (Peer Peer Netw. Appl., 2023)

AdaTrans: An adaptive transformer for IoT Malware detection based on sensitive API call graph and inter-component communication analysis. - Feng Pi; Shengwei Tian; Xinjun Pei; Peng Chen; Xin Wang; Xiaowei Wang (J. Intell. Fuzzy Syst., 2023)

Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing. - Yunlong Zhao 003; Xiaoheng Deng; Yijing Liu; Xinjun Pei; Jiazhi Xia; Wei Chen 001 (CVPR, 2024)

SecBFL-IoV: A Secure Blockchain-Enabled Federated Learning Framework for Resilience Against Poisoning Attacks in Internet of Vehicles. - Irshad Ullah; Xiaoheng Deng; Xinjun Pei; Husnain Mushtaq (PRCV (1), 2024)

Privacy-Enhanced Graph Neural Network for Decentralized Local Graphs. - Xinjun Pei; Xiaoheng Deng; Shengwei Tian; Jianqing Liu; Kaiping Xue (IEEE Trans. Inf. Forensics Secur., 2024)

TransMalDE: An Effective Transformer Based Hierarchical Framework for IoT Malware Detection. - Xiaoheng Deng; Zhe Wang; Xinjun Pei; Kaiping Xue (IEEE Trans. Netw. Sci. Eng., 2024)

Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications. - Xinjun Pei; Xiaoheng Deng; Neal N. Xiong; Shahid Mumtaz; Jie Wu 001 (IEEE Trans. Netw. Sci. Eng., 2024)

A Trusted Edge Computing System Based on Intelligent Risk Detection for Smart IoT. - Xiaoheng Deng; Bin Chen; Xuechen Chen; Xinjun Pei; Shaohua Wan 001; Sotirios K. Goudos (IEEE Trans. Ind. Informatics, 2024)

E-DBRL: efficient double broad reinforcement learning for adaptive traffic signal control. - Xiaoheng Deng; Shunmeng Yin; Xinjun Pei; Lixin Lin; Xuechen Chen; Jinsong Gui (Appl. Intell., 2024)

Efficient malware detection through inter-component communication analysis. - Peng Chen; Shengwei Tian; Xin Wang; Xinjun Pei; Weitao Nong; Hao Zhang (Clust. Comput., 2024)

A Privacy-Preserving Graph Neural Network for Network Intrusion Detection. - Xinjun Pei; Xiaoheng Deng; Shengwei Tian; Ping Jiang 001; Yunlong Zhao 003; Kaiping Xue (IEEE Trans. Dependable Secur. Comput., 2025)

IoV-SFL: A blockchain-based federated learning framework for secure and efficient data sharing in the internet of vehicles. - Irshad Ullah; Xiaoheng Deng; Xinjun Pei; Husnain Mushtaq; Muhammad Uzair (Peer Peer Netw. Appl., 2025)

Securing internet of vehicles: a blockchain-based federated learning approach for enhanced intrusion detection. - Irshad Ullah; Xiaoheng Deng; Xinjun Pei; Husnain Mushtaq; Zia Khan (Clust. Comput., 2025)