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个人简介：Personal Profile 冯志玺，博士，西安电子科技大学人工智能学院副教授、硕士生导师。智能感知与图像处理教育部重点实验室成员。2008年至2012年就读于兰州理工大学自动化专业。2012年保送至西安电子科技大学电路与系统专业攻读硕士，2014年提前转博，2018年获得信息与通信工程（智能信息处理）博士学位。攻读研究生期间，两次获得研究生国家奖学金、多次获得优秀研究生、优秀研究生干部、优秀毕业生等荣誉称号。主要从事智能目标信息感知与机器学习相关研究工作。近年来，先后参与“973”计划、自然基金重点项目、重大研究计划、“十三五”装备预研等多项项目。主持国家自然科学面上项目、青年基金、博士后基金、陕西省自然科学基金及重点实验室开放课题等项目。近年来合作论文：AFT: Adaptive Fusion Transformer for Visible and Infrared Images. IEEE Trans. Image Process. 2023Semantic-Relation Transformer for Visible and Infrared Fused Image Quality Assessment. Inform. Fusion. 2023Orientation Attention Network for semantic segmentation of remote sensing images, Knowledge-Based Systems. 2023A Semi-supervised Method with Swarm Intelligence Optimization for Intelligent Fault Diagnosis. IEEE Sens J. 2023AMC-Net: An Effective Network for Automatic Modulation Classification. [C].  ICASSP，2023.Temporal Local Correntropy Representation for Fault Diagnosis of Machines. IEEE Trans. Ind Inform. 2023Towards the Automatic Modulation Classification with Adaptive Wavelet Network. IEEE Trans. Cogn Commun., 2023Semantic-Relation Transformer for Visible and Infrared Fused Image Quality Assessment. Information Fusion. 2023.Automatic Modulation Classification via Meta-Learning. IEEE Internet Things. 2023.Deep Compressive Imaging With Meta-Learning. IEEE Trans. Instrum Mea. 2023Hierarchical Feature Fusion and Selection for Hyperspectral Image Classification. IEEE Geosci. Remote Sensing Lett. 2023AFnet and PAFnet: Fast and Accurate SAR Autofocus Based on Deep Learning.  IEEE Trans. Geosci. Remote. Sens., 2022Quadruplet Convolution Neural Network With C3 Loss (C3-QCNN) for Signal Classification.  IEEE Trans. Instrum Mea. 2022Multi-Path Interactive Network for Aircraft Identification with Optical and SAR Images.  Remote Sensing. 2022Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification.  Remote Sensing. 2022Learning Dual Geometric Low-rank Structure for Semisupervised Hyperspectral Image Classification. IEEE Trans. Cybernetics. 2021Self-Paced Learning-Based Probability Subspace Projection for Hyperspectral Image Classification.  IEEE Trans. Neural Netw. Learning Syst. 2019Deep Sparse Tensor Filtering Network for Synthetic Aperture Radar Images Classification. IEEE Trans. Neural Netw. Learning Syst. 2018Dual-Collaborative Fusion Model for Multispectral and Panchromatic Image Fusion. IEEE Trans. Geosci. Remote. Sens. 2022Fusion of Panchromatic and Multispectral Images Using Multiscale Convolution Sparse Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2021Extreme Self-Paced Learning Machine for On-Orbit SAR Images Change Detection. IEEE Access. 2019Superpixel Tensor Sparse Coding for Structural Hyperspectral Image Classification. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing. 2017Incremental Semi-Supervised classification of data streams via self-representative selection. Appl. Soft Comput. 2016Spectral-Spatial KerSparseBands Selector. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing .2016Discriminative Spectral-Spatial Margin-Based Semisupervised Dimensionality Reduction of Hyperspectral Data. IEEE Geosci. Remote Sensing Lett. 2015Semi-supervised classification via kernel low-rank representation. Knowledge-based System. 2014.Fast ship detection of synthetic aperture radar images via multi-view features and clustering [C], 2014 International Joint Conference on Neural Networks (IJCNN),2014.神经网络七十年:回顾与展望 [J]. 计算机学报, 2016.