[Rejected Paper] Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, and Yefeng Zheng. “Practical and Robust Semi-supervised Federated Learning: Algorithm and System Design.” arXiv preprint arXiv:2012.04432 (2020).
[IEEE TDSC] Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Cong Wang, and Xun Yi, “Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization”, in IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 2, pp. 988-1001, 2023. (ESI Highly Cited Paper)
[IEEE TNSE] Yi Liu, Yuanshao Zhu, and James J.Q. Yu, “Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis,” in IEEE Transactions on Network Science and Engineering, accepted.
[ACM TOIT] Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, and Jialiang Peng. “Towards Communication-efficient and Attack-resistant Federated Edge Learning for Industrial Internet of Things,” in ACM Trans. Internet Technol. 22, 3, Article 59 (December 2021), 22 pages.
[IEEE IoTJ] Yi Liu, James J.Q.Yu, Jiawen Kang, Dusit Niyato, and Shuyu Zhang, “Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach,” in IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7751-7763, Aug. 2020. (ESI Highly Cited Paper)
[IEEE WCM] Yi Liu, Jialiang Peng, Jiawen Kang, A. M. Iliyasu, Dusit Niyato, and Ahmed A. Abd El-Latif, “A Secure Federated Learning Framework for 5G Networks,” in IEEE Wireless Communications, vol. 27, no. 4, pp. 24-31, August 2020.
[IEEE IoTJ] Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, and M. Shamim Hossain, “Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach,” in IEEE Internet of Things Journal, vol. 8, no. 8, pp. 6348-6358, 15 April, 2021. (ESI Highly Cited Paper)
[IEEE IoTJ] Yi Liu, Jiangtian Nie , Xuandi Li, Syed Hassan Ahmed, Wei Yang Bryan Lim , and Chunyan Miao, “Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms,” in IEEE Internet of Things Journal, vol. 8, no. 12, pp. 9827-9837, 15 June, 2021. (ESI Highly Cited Paper)
[ACM MM’24] Yi Liu, Chengjun Cai, Xiaoli Zhang, Xingliang Yuan, and Cong Wang, “Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts”, in Proc. of ACM MM, 2024.
[KDD’24] Yi Liu, Cong Wang, and Xingliang Yuan, “BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning”, in Proc. of KDD, 2024.
[INFOCOM’22] Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, and Bo Li, “The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining”, in Proc. of INFOCOM, 2022.
[CIKM’22] Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Siheng Li, Bang Liu, Yujiu Yang, and Yefeng Zheng: “MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction”，in Proc. of CIKM，2022. (Intern at Tencent Jarvis Lab)
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