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  • 李风娇

    最终学位:博士

    导师类型:硕士生导师

  • 电子邮箱:fengjiaoli@sxu.edu.cn

    联系电话:0351-7010566

  • 研究方向:机器学习、网络优化、在线学习算法优化与理论分析等

  • 个人简介
  • 学术论文
  • 科研项目
 

李风娇,博士,讲师,硕士研究生导师,研究兴趣包括机器学习、网络优化、在线学习算法优化与理论分析等。2022年12月毕业于美国弗吉尼亚理工大学,获得博士学位。先后以第一作者在IEEE INFOCOM、IEEE ToN、IEEE TNSE、ACM SIGMETRICS等国际重要学术会议和期刊发表多篇论文。获IEEE INFOCOM 2019最佳论文奖、IEEE INFOCOM 2019 分会最佳报告奖、IEEE WiOpt 2022最佳学生论文奖、N2Women Young Research Fellowship等。

 

[1] Fengjiao Li, Xingyu Zhou, and Bo Ji, “(Private) Kernelized Bandits with Distributed Biased Feedback,” of ACM SIGMETRICS 2023, Orlando, FL, June 2023.  (CCF B类会议)

[2] Fengjiao Li, Xingyu Zhou, and Bo Ji, “(Private) Kernelized Bandits with Distributed Biased Feedback,” Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), vol. 7, no. 1, pp 1–47, March 2023.

[3] Fengjiao Li, Xingyu Zhou, and Bo Ji, “Differentially Private Linear Bandits with Partial Distributed Feedback,” Proceedings of IEEE/IFIP WiOpt 2022, Turin, Italy, September 2022. (Best Student Paper Award).

[4] Fengjiao Li, Jia Liu, and Bo Ji, “Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach,” Proceedings of IEEE MASS 2021, Virtual Event, October 2021.

[5] Fengjiao Li, Yu Sang, Zhongdong Liu, Bin Li, Huasen Wu, and Bo Ji, “Waiting but not Aging: Optimizing Information Freshness Under the Pull Model,” IEEE/ACM Transactions on Networking (ToN), vol. 29, no. 1, pp. 465-478, Feb. 2021.(CCF A类期刊

[6] Fengjiao Li, Jia Liu, and Bo Ji, “Combinatorial Sleeping Bandits with Fairness Constraints,” IEEE Transactions on Network Science and Engineering (TNSE), vol. 7, no. 3, pp. 1799-1813, 1 July-Sept. 2020. (SCI一区)

[7] Fengjiao Li, Jia Liu, and Bo Ji, “Combinatorial Sleeping Bandits with Fairness Constraints,” Proceedings of IEEE INFOCOM 2019, Paris, France, April/May 2019. (CCF A类会议;Best Paper Award; Best In-Session Presentation Award

[8] Fengjiao Li, Luyong Zhang, and Dianjun Chen, ``Vulnerability Mining of Cisco Router based on Fuzzing," Proc. of 2nd IEEE International Conference on System and Informatics (ICSAI), Shanghai, China, November 2014.