Metadata
Title
所在学科
Category
scholarships
UUID
f19d0dbc3ea342d89c9e9bb863173e6c
Source URL
https://cst.bit.edu.cn/szdw/jsml/bssds/247b7220ca1c428bac160a82595e4eb1.htm
Parent URL
https://cst.bit.edu.cn/szdw/jsml/index.htm
Crawl Time
2026-03-24T01:20:17+00:00
Rendered Raw Markdown

所在学科

Source: https://cst.bit.edu.cn/szdw/jsml/bssds/247b7220ca1c428bac160a82595e4eb1.htm Parent: https://cst.bit.edu.cn/szdw/jsml/index.htm

袁艳丽(Yuan Yanli) 准聘教授,博士生导师,国家级青年人才 电子邮件:yanliyuan@bit.edu.cn 办公地点:中心教学楼506

\

\

所在学科

网络空间安全

\

研究方向

可信机器学习、大模型安全、联邦学习、网络大数据挖掘

每年拟招收博士生1~2人,硕士生2~3人,同时接收高年级本科生到课题组实习,课题组计算资源丰富,感兴趣的同学请邮件联系。

\

个人简历

2025/01 – 至今 北京理工大学,网络空间安全学院,准聘教授

2023/03 – 2024/12 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

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] Dian Lei, Zijun Song, Yanli Yuan, Chunhai Li, Liehuang Zhu. Achieving Personalized Privacy-Preserving Graph Neural Network via Topology Awareness, In Proceedings of the ACM Web Conference 2025 (WWW ’25), April 28-May 2, 2025, Sydney, NSW, Australia. (通讯作者,CCF A类会议)

[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] 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).

[4] 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. (通信作者,SCI 一区, Top 期刊, ESI高被引论文).

[5] Y Yuan, D Lei, Q Fan, K Zhao, L Zhu, C Zhang, Achieving Adaptive Privacy-Preserving Graph Neural Networks Training in Cloud Environment, 2024 IEEE 12th International Conference on Information, Communication and Networks (ICICN),(Best student paper),2024.

[6] 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).

[7] Chuan Zhang, Xuhao Ren, Weiting Zhang, Yanli Yuan, Zehui Xiong, Chunhai Li, Liehuang Zhu. Privacy-Preserving Federated Learning for Data Heterogeneity in 6G Mobile Networks, IEEE Network, 2024, 1(0): 1-7. (通讯作者)

[8] W Yang, Z Xiong, Y Yuan, W Jiang, TQS Quek, M Debbah. “Agent-driven Generative Semantic Communication with Cross-Modality and Prediction”, IEEE Transactions on Wireless Communication (TWC) , 2024. (SCI 一区,Top 期刊, 通信作者).

[9] 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).

[10] 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).

[11] 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,通信作者)

[12] 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,通信作者).

[13] 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).

[14] Y Yuan, D Lei, C Zhang, X Liu, Z Xiong, L Zhu, Achieving Privacy-Preserving and Scalable Graph Neural Network Prediction in Cloud Environments, 2024-IEEE International Conference on Communications (ICC), 2024.

[15] 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).

\

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《信息网络安全》期刊青年编委,担任TSP、TMC、JSAC等多个国际期刊的审稿人,牵头或参与制定国家及行业标准多项。

\

主持/参与课题

国家重点研发计划课题,2023.11-2026.10,主持;

北京市自然科学基金,2025.01-2026.12,主持;

中国博士后国际交流计划(引进)项目,2023.04-2025.04,主持。

荣获奖项

入选国家级青年人才计划

入选北京市青年人才托举工程

新加坡科技设计大学博士生总统奖学金