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2. Ke Hu, Peng Tang, Liyao Xiang, and Weidong Qiu. “Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains,” IJCAI 2024.
3. Jianfei Sun, yangyang bao, Weidong Qiu, Rongxing Lu, Songnian Zhang, Yunguo Guan, Xiaochun Cheng, "Privacy-preserving Fine-grained Data Sharing with Dynamic Service for the Cloud-edge IoT," IEEE Transactions on Dependable and Secure Computing, 2024.
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5. Fei Tang, Guowei Ling, Chaochao Cai, Jinyong Shan, Xuanqi Liu, Peng Tang, and Weidong Qiu. “Solving Small Exponential ECDLP in EC-Based Additively Homomorphic Encryption and Applications,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 3517-3530, 2023.
6. Huina Li, Le He, Shiyao Chen, Jian Guo, and Weidong Qiu. “Automatic Preimage Attack Framework on Ascon Using a Linearize-and-Guess Approach,” IACR Transactions on Symmetric Cryptology (FSE), 2023.
7. Yangyang Bao, Weidong Qiu, and Xiaochun Cheng. “Fine-grained data sharing with enhanced privacy protection and dynamic users group service for the IoV,” IEEE Transactions on Intelligent Transportation Systems, 2022.
8. Huijuan Lian, Weidong Qiu, Di Yan, Jie Guo, Zhe Li, and Peng Tang, “Privacy-Preserving Spatial Query Protocol Based on the Moore Curve for Location-Based Service,” Computer&Security, 2020
9. Peng Tang, Weidong Qiu, Zheng Huang, Shuang Chen, Min Yan, Huijuan Lian, and Zhe Li, “Anomaly Detection in Electronic Invoice Systems Based on Machine Learning,” Information Sciences,2020
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