Publications

• Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, and Xiaokui Xiao. “Accurate Table Question Answering with Accessible LLMs.” In 2026 IEEE 42nd International Conference on Data Engineering (ICDE). IEEE, 2026.
• Fei Wei, Daoyuan Chen, Ce Wang, Yilun Huang, Yushuo Chen, Xuchen Pan, Yaliang Li, and Bolin Ding. “Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs.” In Proceedings of the 43rd International Conference on Machine Learning (ICML). 2026.
• Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, and Chao Du. “Towards learning on vertically partitioned data with distributed differential privacy.” In 2025 IEEE 41st International Conference on Data Engineering (ICDE), pp. 2121-2134. IEEE, 2025.
• Fei Wei, Yaliang Li, and Bolin Ding. “Towards anthropomorphic conversational ai part i: A practical framework.” arXiv preprint arXiv:2503.04787 (2025).
• Zitao Li, Fei Wei, Yuexiang Xie, Dawei Gao, Weirui Kuang, Zhijian Ma, Bingchen Qian, Yaliang Li, and Bolin Ding. “Kimas: A configurable knowledge integrated multi-agent system.” arXiv preprint arXiv:2502.09596 (2025).
• Ergute Bao, Yangfan Jiang, Fei Wei, Xiaokui Xiao, Zitao Li, Yaliang Li, and Bolin Ding. “Unlocking the Power of Differentially Private Zeroth-order Optimization for Fine-tuning {LLMs}.” In 34th USENIX Security Symposium (USENIX Security 25), pp. 1569-1588. 2025.
• Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, and Beng Chin Ooi. “Exploring privacy and fairness risks in sharing diffusion models: An adversarial perspective.” IEEE Transactions on Information Forensics and Security 19 (2024): 8109-8124.
• Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, and Bolin Ding. “AAA: An Adaptive Mechanism for Locally Differentially Private Mean Estimation.” Proceedings of the VLDB Endowment 17, no. 8 (2024): 1843–1855.
• Bo Wang, Xiaohan Wu, Fei Wang, Yushu Zhang, Fei Wei, and Zengren Song. “Spatial-frequency feature fusion based deepfake detection through knowledge distillation.” Engineering Applications of Artificial Intelligence 133 (2024): 108341.
• Bo Wang, Jiayao Hou, Fei Wei, Fei Yu, and Weiming Zheng. “MDM-CPS: a few-shot sample approach for source camera identification.” Expert Systems with Applications 229 (2023): 120315.
• Bo Wang, Xiaohan Wu, Yeling Tang, Yanyan Ma, Zihao Shan, and Fei Wei. “Frequency domain filtered residual network for deepfake detection.” Mathematics 11, no. 4 (2023): 816.
• Mengnan Zhao, Xiaorui Dai, Bo Wang, Fei Yu, and Fei Wei. “Further understanding towards sparsity adversarial attacks.” In International Conference on Artificial Intelligence and Security, pp. 200-212. Cham: Springer International Publishing, 2022.
• Bo Wang, Shiqi Wu, Fei Wei, Yue Wang, Jiayao Hou, and Xue Sui. “Virtual sample generation for few-shot source camera identification.” Journal of Information Security and Applications 66 (2022): 103153.
• Bo Wang, Jiayao Hou, Yanyan Ma, Fei Wang, and Fei Wei. “Multi-DS Strategy for Source Camera Identification in Few-Shot Sample Data Sets.” Security and Communication Networks 2022 (2022).
• Wael Alghamdi, Shahab Asoodeh, Flavio P. Calmon, Juan Felipe Gomez, Oliver Kosut, Lalitha Sankar, and Fei Wei. “The Saddle-Point Accountant for Differential Privacy.” arXiv preprint arXiv:2208.09595 (2022).
• Wael Alghamdi, Shahab Asoodeh, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar, and Fei Wei. “Cactus mechanisms: Optimal differential privacy mechanisms in the large-composition regime.” In 2022 IEEE International Symposium on Information Theory (ISIT), pp. 1838-1843. IEEE, 2022.
• Fei Wei and Oliver Kosut. “A wringing-based proof of a second-order converse for the multiple-access channel under maximal error probability.” In 2021 IEEE International Symposium on Information Theory (ISIT), pp. 2220-2225. IEEE, 2021.
• Guowen Zhang, Bo Wang, Fei Wei, Kaize Shi, Yue Wang, Xue Sui, and Meineng Zhu. “Source camera identification for re-compressed images: A model perspective based on tri-transfer learning.” Computers & Security 100 (2021): 102076.
• Bo Wang, Mengnan Zhao, Wei Wang, Fei Wei, Zhan Qin, and Kui Ren. “Are you confident that you have successfully generated adversarial examples?.” IEEE Transactions on Circuits and Systems for Video Technology 31, no. 6 (2020): 2089-2099.
• Fei Wei. “A Structural Study of Network Coding Through the Lens of Group Theory.” PhD diss., State University of New York at Buffalo, 2020.
• Fei Wei, Michael Langberg, and Michelle Effros. “Towards an operational definition of group network codes.” arXiv preprint arXiv:2002.00781 (2020).
• Mengnan Zhao, Bo Wang, Fei Wei, Meineng Zhu, and Xue Sui. “Source camera identification based on coupling coding and adaptive filter.” IEEE Access 8 (2019): 54431-54440.
• Fei Wei, Michael Langberg, and Michelle Effros. “A local perspective on the edge removal problem.” In 2019 IEEE International Symposium on Information Theory (ISIT), pp. 191-195. IEEE, 2019.
• Fei Wei and Michael Langberg. “The effect of removing a network communication edge: group network codes.” In 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 134-141. IEEE, 2017.