所在学科

网络空间安全

研究方向

可信图机器学习、联邦学习、人工智能安全、网络大数据挖掘

个人简历

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 – 2023/02 新加坡科技设计大学，博士后、助理研究员

2017/01-2021/06 新加坡科技设计大学，博士

2008/09-2015/01 北京航空航天大学，学士、硕士

代表性论著

[1] Y. Yuan, B. Wang, C. Zhang, Z. Xiong, C. Li, L. Zhu. “Towards Efficient and Robust Federated Unlearning in IoT Networks”, IEEE Internet of Things Journal (IOTJ), 2024. (SCI 一区, Top 期刊).

[2] 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), 2023. (CCF A).

[3] 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).

[4] 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) , 2023. (SCI 一区，Top 期刊).

[5] 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), 2022. (SCI 一区, Top 期刊).

[6] 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), 2022. (SCI 二区).

[7] 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), 2022. (SCI 一区, Top 期刊).

[8] 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，Top 期刊）

[9] 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), 2020. (SCI 一区, Top期刊).

[10] 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）, 2019. (SCI 二区).

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

1. 国家重点研发计划课题，面向新型计算的安全可信架构及关键技术研究，2023.11-2026.10，310万元，主持；

2. 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，主持；

3.  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；

4. 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

1. 入选北京市青年人才托举工程

2. 新加坡科技设计大学博士生总统奖学金