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Xin-jun Pei
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2020 – today
- 2024
- [j18]Xiaoheng Deng, Shunmeng Yin, Xinjun Pei, Lixin Lin, Xuechen Chen, Jinsong Gui:
E-DBRL: efficient double broad reinforcement learning for adaptive traffic signal control. Appl. Intell. 54(17-18): 8563-8575 (2024) - [j17]Peng Chen, Shengwei Tian, Xin Wang, Xinjun Pei, Weitao Nong, Hao Zhang:
Efficient malware detection through inter-component communication analysis. Clust. Comput. 27(8): 11667-11682 (2024) - [j16]Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Jianqing Liu, Kaiping Xue:
Privacy-Enhanced Graph Neural Network for Decentralized Local Graphs. IEEE Trans. Inf. Forensics Secur. 19: 1614-1629 (2024) - [j15]Xiaoheng Deng, Bin Chen, Xuechen Chen, Xinjun Pei, Shaohua Wan, Sotirios K. Goudos:
A Trusted Edge Computing System Based on Intelligent Risk Detection for Smart IoT. IEEE Trans. Ind. Informatics 20(2): 1445-1454 (2024) - [j14]Xiaoheng Deng, Zhe Wang, Xinjun Pei, Kaiping Xue:
TransMalDE: An Effective Transformer Based Hierarchical Framework for IoT Malware Detection. IEEE Trans. Netw. Sci. Eng. 11(1): 140-151 (2024) - [j13]Xinjun Pei, Xiaoheng Deng, Neal N. Xiong, Shahid Mumtaz, Jie Wu:
Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications. IEEE Trans. Netw. Sci. Eng. 11(5): 4990-5007 (2024) - [c4]Yunlong Zhao, Xiaoheng Deng, Yijing Liu, Xinjun Pei, Jiazhi Xia, Wei Chen:
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing. CVPR 2024: 24316-24325 - [c3]Irshad Ullah, Xiaoheng Deng, Xinjun Pei, Husnain Mushtaq:
SecBFL-IoV: A Secure Blockchain-Enabled Federated Learning Framework for Resilience Against Poisoning Attacks in Internet of Vehicles. PRCV (1) 2024: 410-428 - [i1]Yunlong Zhao, Xiaoheng Deng, Yijing Liu, Xinjun Pei, Jiazhi Xia, Wei Chen:
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing. CoRR abs/2406.18540 (2024) - 2023
- [j12]Feng Pi, Shengwei Tian, Xinjun Pei, Peng Chen, Xin Wang, Xiaowei Wang:
AdaTrans: An adaptive transformer for IoT Malware detection based on sensitive API call graph and inter-component communication analysis. J. Intell. Fuzzy Syst. 45(6): 11439-11452 (2023) - [j11]Irshad Ullah, Xiaoheng Deng, Xinjun Pei, Ping Jiang, Husnain Mushtaq:
A verifiable and privacy-preserving blockchain-based federated learning approach. Peer Peer Netw. Appl. 16(5): 2256-2270 (2023) - [j10]Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Lan Zhang, Kaiping Xue:
A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection. IEEE Trans. Dependable Secur. Comput. 20(3): 2127-2143 (2023) - [j9]Xiaoheng Deng, Haowen Tang, Xinjun Pei, Deng Li, Kaiping Xue:
MDHE: A Malware Detection System Based on Trust Hybrid User-Edge Evaluation in IoT Network. IEEE Trans. Inf. Forensics Secur. 18: 5950-5963 (2023) - [j8]Xiaoheng Deng, Xinjun Pei, Shengwei Tian, Lan Zhang:
Edge-Based IIoT Malware Detection for Mobile Devices With Offloading. IEEE Trans. Ind. Informatics 19(7): 8093-8103 (2023) - [j7]Xiaoheng Deng, Jincai Zhu, Xinjun Pei, Lan Zhang, Zhen Ling, Kaiping Xue:
Flow Topology-Based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks. IEEE Trans. Netw. Serv. Manag. 20(1): 684-696 (2023) - [c2]Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Kaiping Xue:
Efficient Privacy Preserving Graph Neural Network for Node Classification. ICASSP 2023: 1-5 - [c1]Yunlong Zhao, Xiaoheng Deng, Xinjun Pei, Xuechen Chen, Deng Li:
Parallel Gradient Blend for Class Incremental Learning. ICIP 2023: 1220-1224 - 2021
- [j6]Jianting Yuan, Guanxin Chen, Shengwei Tian, Xinjun Pei:
Malicious URL Detection Based on a Parallel Neural Joint Model. IEEE Access 9: 9464-9472 (2021) - 2020
- [j5]Xin-jun Pei, Long Yu, Shengwei Tian:
AMalNet: A deep learning framework based on graph convolutional networks for malware detection. Comput. Secur. 93: 101792 (2020) - [j4]Huanhuan Wang, Long Yu, Shengwei Tian, Shiqi Luo, Xin-jun Pei:
Malicious webpages analysis and detection algorithm based on BiLSTM. Int. J. Electron. Bus. 15(4): 351-367 (2020) - [j3]Xin-jun Pei, Long Yu, Shengwei Tian, Huan-huan Wang, Yongfang Peng:
Combining multi-features with a neural joint model for Android malware detection. J. Intell. Fuzzy Syst. 38(2): 2151-2163 (2020) - [j2]Xinjun Pei, Shengwei Tian, Long Yu, Huanhuan Wang, Yongfang Peng:
A Two-Stream Network Based on Capsule Networks and Sliced Recurrent Neural Networks for DGA Botnet Detection. J. Netw. Syst. Manag. 28(4): 1694-1721 (2020)
2010 – 2019
- 2019
- [j1]Huan-huan Wang, Long Yu, Shengwei Tian, Yongfang Peng, Xin-jun Pei:
Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network. Appl. Intell. 49(8): 3016-3026 (2019)
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