袁艳丽 - 北京理工大学 - 网络空间安全学院

个人简介

2023/03 – 至今北京理工大学，网络空间安全学院，特别副研究员 2021/08 – 2022/08 新加坡科技设计大学，博士后 2017/01 - 2021/06 新加坡科技设计大学，计算机学院，博士（导师 Tony Q.S. Quek, IEEE Fellow） 2012/09 - 2015/01 北京航空航天大学，电子信息工程学院，硕士 2008/09 - 2012/06 北京航空航天大学，电子信息工程学院，学士研究成果在IEEE TKDE、IEEE TSP、IEEE TII，IEEE TNSE等国际顶级学术期刊上发表多篇学术论文；担任包括TSP、TMC、JSAC等多个国际期刊的审稿人主持/参与课题中国博士后国际交流计划（引进）项目，可信图机器学习，2022.11-2024.11，60万元，负责人 SUTD-ZJU Research Collaboration Grant，Theoretical and Algorithmic Foundations for Internet-of-Things (IoT) and Internet-of-Data (IoD)， 2017.07-2020.07， 60万新币，参与 AI Singapore Research Programme，Noisy distributed learning on noisy data: A unified mathematical framework for dealing with arbitrary noise，74.3万新币， 2019.10-2022.09，参与荣获奖项新加坡科技设计大学国际博士生项目校长全额奖学金

研究领域

可信图机器学习、联邦学习、人工智能安全、网络大数据挖掘

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Y. Yuan, D. W. Soh, K. Guo, Zehui Xiong*, and T. Q. S. Quek. “Joint Network Topology Inference via Structured Fusion Regularization”, IEEE Transactions on Knowledge and Data Engineering (TKDE), early access, 2023. (CCF A, IF 9.235). S. Wang, Y. Xu, Y Yuan, X. Wang, and T. Q. S. Quek. “Boosting Semi-Supervised Federated Learning with Model Personalization and Client-Variance-Reduction“, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. (CCF B, Top 3% paper award). S. Wang, Y. Xu, Y. Yuan, and Tony Q. S. Quek. “Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee”, IEEE Transactions on Wireless Communication (TWC), Accepted, 2023. (SCI 一区，IF 8.346). Y. Yuan, D. W. Soh, X. Yang, K. Guo*, and T. Q. S. Quek. “GRACGE: Graph Signal Clustering and Multiple Graph Estimation”, IEEE Transactions on Signal Processing (TSP), vol 70, pp.2015-2030, 2022. (SCI 一区, IF 4.931, Top 期刊). Y. Yuan, D. W. Soh, Zehui Xiong*, and T. Q. S. Quek. “Applicable and Partial Learning of Graph Topology without Sparsity Priors”, IEEE Transactions on Network Science and Engineering (TNSE), vol 10, pp.360-371, 2022. (SCI 二区, IF 5.033). R. Liu, M. Liang, J. Nie, Y. Yuan*, Z. Xiong, H. Yu, and N. Guizani. “STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multi-Graph Convolutional Network”, IEEE Transactions on Industrial Informatics (TII), vol 18, pp.7977-7987, 2022. (SCI 一区, IF 11.648, Top 期刊). Q. Liu, R. Liu*, Y. Zhang, Y. Yuan*, et al. “Management of Positioning Functions in Cellular Networks for Time-Sensitive Transportation Applications”, IEEE Transactions on Intelligent Transportation System (TITS), 2023. （SCI 一区，IF 9.551） X. Yang, M. Sheng*, Y. Yuan*, and T. Q. S. Quek, “Network Topology Inference from Heterogeneous Incomplete Graph Signals”, IEEE Transactions on Signal Processing (TSP), Dec 2020. (SCI 一区，IF 4.931, Top期刊). Y. Yuan, D. W. Soh, H. Yang* and T. Q. S. Quek. “Learning Overlapping community-based Networks”, IEEE Transactions on Signal and Information Processing over Networks（TSIPN）, vol 5, pp. 684-697, 2019. (SCI 二区, IF 3.66). P. Lv, W. Xu, J. Nie, Y. Yuan, C. Cai, Z. Chen, and J. Xu, “Edge Computing Task Offloading for Environmental Perception of Autonomous Vehicles in 6G Networks”, IEEE Transactions on Network Science and Engineering (TNSE), vol 10, 2023. （SCI 二区, IF 5.003）