李云杰 - 北京理工大学 - 信息与电子学院

个人简介

2005.03 至今：任职于北京理工大学信息与电子学院 2016.10-2017.10：访学于美国华盛顿大学智能交通与应用实验室 1999.09-2005.03：就读于北京理工大学信号与信息处理专业博士 1995.09-1999.06：就读于北京理工大学通信工程专业本科代表性学术成果长期从事雷达电子对抗理论和技术研究工作，近年来重点从事电磁智能认知与应用相关研究，曾主持完成了863项目、973项目子课题等重要科研项目，现正主持国家自然科学基金面上项目、基础加强重点计划项目课题、重大专项工程重点项目课题等纵向国家课题，获部级科技奖励3项，发表学术论文50余篇，获得授权发明专利10余项。荣誉奖励省部级技术发明二等奖1项省部级科技进步奖2项学术兼职及其他中国电子学会高级会员、IEEE 高级会员国家重点实验室联合研究中心方向负责人 IEEE SPL、DSP、IET RSN、电子学报、雷达学报等国内外期刊审稿人

研究领域

电磁智能感知与应用电子侦察与对抗

近期论文

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Zhu Mengtao, Shafei Wang, Yunjie Li*. Model based Representation and Deinterleaving of Mixed Radar Pulse Sequences with Neural Machine Translation Network. IEEE Transactions on Aerospace and Electronic Systems. (2021). Zhu Mengtao, Ziwei Zhang, Cong Li, Yunjie Li*. JMRPE-Net: Joint modulation recognition and parameter estimation of cognitive radar signals with a deep multitask network. IET Radar, Sonar & Navigation. (2021). Zhu Mengtao, Yunjie Li*, Shafei Wang. Model-based Time Series Clustering and Inter-pulse Modulation Parameter Estimation of Multi-function Radar Pulse Sequences. IEEE Transactions on Aerospace and Electronic Systems. (2021). Mengmeng Liao, Yunjie Li, Meiguo Gao. Graph-based adaptive and discriminative subspace learning for face image clustering. Expert Systems with Applications. (2021). Zesi Pan, Shafei Wang, Zhu Mengtao, Yunjie Li*. Automatic Waveform Recognition of Overlapping LPI Radar Signals Based on Multi-Instance Multi-Label Learning， IEEE Signal Processing Letters. (2020). Yunjie Li，Mengtao Zhu，Yihao Ma，Jian Yang. Work Modes Recognition and Boundary Identification of MFR Pulse Sequences with a Hierarchical Seq2seq LSTM. IET Radar Sonar & Navigation. (2021). Mengtao Zhu, Yunjie Li*, Zesi Pan, Jian Yang. Automatic modulation recognition of compound signals using a deep multi-label classifier: A case study with radar jamming signals. Signal Processing. (2019). Zilin Zhang, Yunjie Li*, Jian Yang Yan Li and Meiguo Gao. Cross-Layer Autoencoder for Zero-Shot Learning. IEEE Access. (2019). Yunjie Li, Dongfang Ma, Mengtao Zhu, Ziqiang Zeng,Yinhai Wang, Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network，ACCIDENT ANALYSIS AND PREVENTION. (2018). Mengtao Zhu, Yunjie Li*, Yinhai Wang, Design and experiment verification of a novel analysis framework for recognition of driver injury patterns: From a multi-classfication perspective，ACCIDENT ANALYSIS AND PREVENTION. (2018). 李云杰,朱云鹏,高梅国, 基于Q-学习算法的认知雷达对抗过程设计北京理工大学学报. (2015).