肖珍龙 副教授
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研究领域
长期从事图信号处理与可信协同智能研究，聚焦动态复杂网络中的多源信息感知与协同决策，主要开展两方面研究：一是非线性图信号处理与多源时空感知，研究非线性图滤波、拓扑信号处理、时空采样重构、多源异构数据融合及环境时空场重建；二是可信分布式学习与多智能体协同，研究通信受限与攻击条件下的异步联邦学习、交互拓扑设计、鲁棒协同优化及安全机制。相关研究面向灾害巡检、环境监测等应用场景。主持国家自然科学基金面上及青年项目，参与国家重点研发计划项目，担任JNaNA等英文期刊编委及IEEE ICC、GLOBECOM等国际会议TPC成员。
论文成果
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Joint Sampling and Reconstruction of Time-Varying Signals Over Directed Graphs.IEEE Transactions on Signal Processing,711-15.
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A GCN-Based Method for Extracting Power Lines and Pylons From Airborne LiDAR Data.IEEE Transactions on Geoscience and Remote Sensing,60
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Distributed Nonlinear Polynomial Graph Filter and Its Output Graph Spectrum: Filter Analysis and Design.IEEE Transactions on Signal Processing,691-15.
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肖珍龙,Nonlinear Polynomial Graph Filter for Signal Processing With Irregular Structures.IEEE TRANSACTIONS ON SIGNAL PROCESSING,2018,66(23):6241-6251.
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Identification of Cascade Dynamic Nonlinear Systems: A Bargaining Game Theory Based Approach.IEEE Transactions on Signal Processing,2018,66(17):4657-4669.
专利
著作成果
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