（以下信息更新至2024年5月） 主要研究信息安全、人工智能、边缘计算等领域，在国际顶级SCI期刊/会议发表学术论文30余篇，以第一作者或通信作者发表IEEE期刊或会议中科院一区/二区/CCF A类计10余篇，包括CCF A类或中科院一区8篇、CCF B类或中科院二区3篇，累计影响因子IF达101.1，累计引用达600余次，IF大于10共3篇，如IEEE TDSC、IEEE TIFS、CVPR、IEEE TII、IEEE TMC、IEEE TNSE、IEEE TCE等国外顶级期刊及会议。 近期代表性论文： [1]【IEEE TIFS】Xinjun Pei, Xiaoheng Deng, Shengwei Tian. Privacy-Enhanced Graph Neural Network for Decentralized Local Graphs [J]. IEEE Transactions on Information Forensics & Security 2024, 19:1614-1629. (CCF A类期刊). [2]【IEEE TDSC】Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Ping. Jiang, Yunlong Zhao, Kaiping Xue. A Privacy-Preserving Graph Neural Network for Network Intrusion Detection [J]. IEEE Transactions on Dependable and Secure Computing, 2025, 22(1), 740-756. (CCF A类期刊). [3]【IEEE TDSC】Xinjun Pei, Xiaoheng Deng, Shengwei Tian et al. A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection [J]. IEEE Transactions on Dependable and Secure Computing, 2023, 20(3): 2127-2143. (CCF A类期刊). [4]【IEEE TIFS】Xiaoheng Deng, Haowen Tang, Xinjun Pei*, et al. MDHE: A Malware Detection System Based on Trust Hybrid User-Edge Evaluation in IoT Network [J]. IEEE Transactions on Information Forensics & Security, 2023, 18:5950-5963. (CCF A类期刊). [5]【IEEE TNSE】Xinjun Pei, Xiaoheng Deng, Neal. N. Xiong, S. Mumtaz, Jie. Wu. Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications. IEEE Transactions on Network Science and Engineering, 2024, 11(5): 4990-5007. (发表综述文章). [6]【IEEE TCE】Xinjun Pei, Jinmiao Song, Qimeng. Yang, et al.. Edge Intelligence-Enabled Network Intrusion Detection in Compute First Networking. IEEE Transactions on Consumer Electronics. 2025, 71(3):8178-8191. (中科院2区，IF=10.9) [7]【IEEE ICASSP】Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Kaiping Xue. Efficient Privacy Preserving Graph Neural Network for Node Classification, IEEE International Conference on Acoustics, Speech and Signal Processing, 2023: 1-5. (CCF B类会议). [8]【COSE】Xinjun Pei, Long Yu, Shengwei Tian. AMalNet: A deep learning framework based on graph convolutional networks for malware detection. Computers & Security. 2020, 93: 101792. (CCF B类期刊). [9]【IEEE TII】Xiaoheng Deng*, Bin Chen, Xinjun Pei*, et al. A Trusted Edge Computing System Based on Intelligent Risk Detection for Smart IoT. IEEE Transactions on Industrial Informatics. 2023, 20(1): 1-13. (中科院1区). [10]【IEEE TNSE】Xiaoheng Deng*, Zhe Wang, Xinjun Pei*, et al. TransMalDE: An Effective Transformer Based Hierarchical Framework for IoT Malware Detection. IEEE Transactions on Network Science and Engineering. 2023, 20(1): 1-13. (中科院1区). [11]【IEEE TNSE】Zhao Meng, Shengwei Tian, Xinjun Pei*, et al. Client-Level Fault-Tolerant Federated Semi-Supervised Learning for Unlabeled Clients in Internet of Vehicles, IEEE Transactions on Network Science and Engineering, 2025, 12(6): 4657-4670. (中科院1区). [12]【IEEE TII】Xiaoheng Deng, Xinjun Pei, Shengwei Tian, et al. Edge-based IIoT Malware Detection for Mobile Devices with Offloading [J]. IEEE Transactions on Industrial Informatics, 2023, 19(7): 8093-8103. (中科院1区). [13]【CVPR】Yunlong Zhao, Xiaoheng Deng, Yijing Liu, Xinjun Pei, Jiazhi Xia, W Chen. Fully Exploiting Every Real Sample: Super-Pixel Sample Gradient Model Stealing. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF A类会议). [14]【IEEE TMC】Huiming Jiang, Xiaoheng Deng, Deng Li, Xinjun Pei, Jinsong Gui and Geyong Min, Incentive Mechanism for Crowdsensing with User Autonomous Decision-Making Based on Prospect Theory and Ordered Submodularity, IEEE Transactions on Mobile Computing, 2025. (CCF A类期刊). [15]【IEEE TNSM】Xiaoheng Deng, Jincai Zhu, Xinjun Pei, et al. Flow Topology-Based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks. IEEE Transactions on Network and Service Management. 2023, 20(1): 684-696. (中科院2区). [16]【IEEE ICIP】Yunlong Zhao, Xiaoheng Deng, Xinjun Pei, Xuechen Chen, Deng Li. Parallel Gradient Blend for Class Incremental Learning. IEEE International Conference on Image Processing (ICIP), 2023, 1220-1224. (CCF C类会议). [17]【PRCV】Irshad Ulllah, Xiaoheng Deng, Xinjun Pei, and Husnain Mushtaq. SecBFL-IoV: A Secure Blockchain-Enabled Federated Learning Framework for Resilience against Poisoning Attacks in Internet of Vehicles, Conference on Pattern Recognition and Computer Vision (PRCV), 2024. (CCF C类会议). [18]【JNSM】Xinjun Pei, Shengwei Tian, Long Yu, et al. A Two-Stream Network Based on Capsule Networks and Sliced Recurrent Neural Networks for DGA Botnet Detection. J. Netw. Syst. Manag. 2020, 28(4): 1694-1721. (中科院3区). [19]【JIFS】Xinjun Pei, Long Yu, Shengwei Tian, et al. Combining multi-features with a neural joint model for Android malware detection. J. Intell. Fuzzy Syst. 2020, 38(2): 2151-2163. [20] Irshad Ullah, Xiaoheng Deng, Xinjun Pei, Ping Jiang, Husnain Mushtaq. A verifiable and privacy-preserving blockchain-based federated learning approach. Peer-to-Peer Networking and Applications, 2023, 16(5): 2256-2270. [21] Huanhuan Wang, Long Yu, Shengwei Tian, Yongfang Peng, Xinjun Pei. Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network. Applied Intelligence, 2019, 49(8): 3016-3026. (中科院2区). [22] Xiaoheng Deng, Shunmeng Yin, X Pei, et al. E-DBRL: Efficient Double Broad Reinforcement Learning for Adaptive Traffic Signal Control, Applied Intelligence, 54(17-18): 8563-8575, 2024. (中科院2区). [23] Zijian Zhou, Deng Xiaoheng, Xinjun Pei, Yunlong Zhao, Qian Yurong, ZJC: Constructing fully local repair in erasure codes for distributed cloud storage, JOURNAL OF SYSTEMS ARCHITECTURE, 2026. (中科院2区).
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