[1]Zhe Li, Honglong Chen*, Zhichen Ni, Yudong Gao, Wei Lou. Towards Adaptive Privacy Protection for Interpretable Federated Learning[J]. IEEE Transactions on Mobile Computing, 2024, 23(12): 14471-14483. (CCF A类, SCI一区Top, IF: 9.2)
[2]Zhe Li, Honglong Chen*, Zhichen Ni, Xiaogang Deng, Baodi Liu, Weifeng Liu. ARPCNN: Auxiliary Review Based Personalized Attentional CNN for Trustworthy Recommendation[J]. IEEE Transactions on Industrial Informatics, 2023, 19(1): 1018-1029. (SCI一区Top, IF: 11.7)
[3]Zhe Li, Honglong Chen*, Yudong Gao, Zhichen Ni, Huansheng Xue, Huajie Shao. Staged Noise Perturbation for Privacy-Preserving Federated Learning[J]. IEEE Transactions on Sustainable Computing, 2024, 9(6): 936-947. (CCF C类, SCI三区, IF: 3.9)
[4]Zhe Li, Honglong Chen*, Kai Lin, Vladimir Shakhov, Leyi Shi, Jiguo Yu. From edge data to recommendation: A double attention-based deformable convolutional network[J]. Peer-to-Peer Networking and Applications, 2021, 14: 3984-3997. (CCF C类, SCI三区, IF: 3.488)
[5]Honglong Chen, Zhe Li, Zhu Wang, Zhichen Ni, Junjian Li, Ge Xu, Abdul Aziz, Feng Xia*. Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation[J]. World Wide Web, 2022, 25(5): 1863-1882. (CCF B类, SCI三区, IF: 3.7)
[6]Zhe Li, Honglong Chen*, Yudong Gao, Huansheng Xue. Lightweight Privacy Protection Against Channel-Level Gradient Leakage Attack in Federated Learning[C]. In Proc. of IEEE International Conference on Information and Communication Technology Convergence, 2024: 1891-1896. (EI, 最佳论文奖)
[7]Yudong Gao, Honglong Chen*, Peng Sun, Zhe Li, Junjian Li, Huajie Shao. Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining[C]. In Proc. of International Conference on Machine Learning, 2024. (CCF A类)
[8]Yangxu Yin, Honglong Chen*, Yudong Gao, Peng Sun, Liantao Wu, Zhe Li, Weifeng Liu. FFCBA: Feature-based Full-target Clean-label Backdoor Attacks[C]. In Proc. of ACM International Conference on Multimedia, 2025. (CCF A类)
