Publications

  • Preprints

  1. [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).

  • Journal Papers

  1. [IEEE TITS] Yuanshao Zhu, Yongchao Ye, Yi Liu, and James J.Q. Yu. “Cross-area Travel Time Uncertainty Estimation from Trajectory Data: A Federated Learning Approach”, in IEEE Transactions on Intelligent Transportation Systems, accepted. (Visiting Student at SUSTech)

  2. [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, accepted.

  3. [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.

  4. [IEEE TITS] Yuanshan Zhu, Yi Liu, and James J.Q. Yu, and Xingliang Yuan, “Semi-supervised Federated Learning for Travel Mode Identification from GPS Trajectories,” in IEEE Transactions on Intelligent Transportation Systems, accepted.

  5. [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.

  6. [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.

  7. [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.

  8. [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)

  9. [IEEE IoTJ] Yi Liu, Jiangtian Nie, Xuandi Li, S. H. Ahmed, W. Y. B. Lim, and C. 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.

  10. [China COMM] Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, and Dusit Niyato, “Federated learning for 6G communications: Challenges, methods, and future directions,” in China Communications, vol. 17, no. 9, pp. 105-118, Sept. 2020.

  11. [IEEE IoTJ] Wu Yi, Yi Liu, Syed Hassan Ahmed, Jialiang Peng, and Ahmed A. Abd El-Latif, “Dominant Data Set Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation,” in IEEE Internet of Things Journal, vol. 7, no. 5, pp. 4347-4360, May 2020.

  • Conference Papers

  1. [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.

  2. [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)