个人简介

郭璐瑶，男，1997年生，副教授，理学博士。2025年6月于东南大学数学学院获得理学博士学位。2025年9月加入苏州工学院计算机科学与工程学院，从事教学与科研工作。研究方向为分布式学习优化算法理论及应用，主要关注算法在计算、通信及安全性能方面的表现。在IEEE TAC、IEEE TSP、IEEE TIFS、IEEE-CAA JAS、IEEE TNNLS等国际重要学术期刊和会议发表论文20余篇，其中以第一作者和通讯作者身份发表论文9篇。担任IEEE TAC、IEEE TSP、IEEE TSIPN、IEEE CDC等期刊和会议审稿人。

研究方向

分布式优化，分布式机器学习，联邦学习，最优化算法与理论

代表性学术成果

[1] Luyao Guo, Xinli Shi, Shaofu Yang, and Jinde Cao, DISA: A dual inexact splitting algorithm for distributed convex composite optimization, IEEE Transactions on Automatic Control (Full Paper), 2024, 69(5):2995-3010.

[2] Luyao Guo, Xinli Shi, Jinde Cao, and Zihao Wang, Decentralized inexact proximal gradient method with network-independent stepsizes for convex composite optimization, IEEE Transactions on Signal Processing, 2023, 71:786-801.

[3] Luyao Guo, Xinli Shi, Jinde Cao, and Zihao Wang, Exponential convergence of primal-dual dynamics under general conditions and its application to distributed optimization, IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(4):5551-5565.

[4] Luyao Guo, Xinli Shi, and Jinde Cao, Exponential convergence of primal-dual dynamical system for linear constrained optimization, IEEE-CAA Journal of Automatica Sinica, 2022, 9(4):745-748.

[5] Luyao Guo, Luqing Wang, Xinli Shi, and Jinde Cao, A proximal gradient method with probabilistic multi-gossip communications for decentralized composite optimization, IEEE Transactions on Signal and Information Processing over Networks, 2025, 11:1044-1057.

[6] Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, Nadezhda Gorbacheva, and Jinde Cao, Neurodynamic approaches for multi-agent distributed optimization, Neural Networks, 2024, 169:673-684.

[7] Xin He, Luyao Guo*, and Dong He, Accelerated quadratic penalty dynamic approaches with applications to distributed optimization, Neural Networks, 2025, 184:107032.

[8] Luyao Guo, Xinli Shi, and Jinde Cao, Turing patterns of Gierer-Meinhardt model on complex networks, Nonlinear Dynamics, 2021, 105:899-909.

[9] Luqing Wang, Luyao Guo, Shaofu Yang, and Xinli Shi, Differentially private decentralized optimization with relay communication, IEEE Transactions on Information Forensics and Security, 2025, 20:724-736.

[10] Luyao Guo, Xinli Shi, Yuan Zhou, and Jinde Cao, A distributed algorithm for optimal energy management with network-independent stepsize, In: International Conference on Information Science and Technology, 2023, 424-431.

荣誉奖励

博士研究生国家奖学金

江苏省省级三好学生

东南大学优秀毕业研究生

东南大学优秀研究生共产党员

江苏省研究生“问题驱动下的数学与应用”学术创新论坛获一等奖

第三届“集群智能无人系统”全国博士生学术论坛最佳报告

美国大学生数学建模 Meritorious Winner

第十届全国大学生数学竞赛（数学类）一等奖

联系方式

Email: guo_luyaoo@163.com