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个人信息Personal Information
教授 博士生导师 硕士生导师
性别：男
毕业院校：西安电子科技大学
学历：博士研究生毕业
学位：博士研究生毕业
在职信息：在岗
所在单位：人工智能学院
入职时间：2018-07-01
学科：智能科学与技术
办公地点：南校区网安大楼CII-513
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个人简介Personal Profile
冯志玺，博士，人工智能学院 教授、博士生/硕士生导师。
主要研究方向： 机器学习理论及应用、智能目标信息感知、垂域大模型与智能体
在研科研项目：复杂环境下电磁目标连续感知与识别（NSFC面上）、电磁基础模型构建技术（某研究所合作项目）、未知目标检测判定与识别技术（某研究所合作项目）、有限样本下的弱小目标多源融合识别技术研究（某研究所合作项目）
2027年招生： 博士\硕士研究生 (智能科学与技术) 团队还有推免名额，欢迎大家咨询联系！
Google Scholar：https://scholar.google.com/citations?hl=zh-CN&user=AHOHtygAAAAJ&view_op=list_works&sortby=pubdate
部分代表性合作论文：
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis. NeurIPS. 2024.
Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification. AAAI.2024.
Open-ICL: Open-Set Modulation Classification via Incremental Contrastive Learning. IEEE Trans. Neural Netw. Learning Syst. 2024.
Learning Cross-Domain Features With Dual-Path Signal Transformer. IEEE Trans. Neural Netw. Learning Syst. 2024.
Generative Transformer-Based Self-Supervised Learning Framework in Cognitive Radio Systems. IEEE Trans. Wireless Commun. 2024.
Learning Temporal–Spectral Feature Fusion Representation for Radio Signal Classification. IEEE Trans. Ind Inform. 2024.
DAE-GSP: Discriminative Auto-Encoder with Gaussian Selective Patch for Multi-modal Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 2024.
Pseudo-Label-Assisted Subdomain Adaptation for Hyperspectral Image Classification. IEEE Trans. Circ Syst Vid. 2023.
Cross-Sensor Correlative Feature Learning and Fusion for Intelligent Fault Diagnosis. IEEE Trans. Ind Inform. 2023.
Cross-modal contrastive learning for remote sensing image classification. IEEE Trans. Geosci. Remote. Sens. 2023.
AFT: Adaptive Fusion Transformer for Visible and Infrared Images. IEEE Trans. Image Process. 2023
Semantic-Relation Transformer for Visible and Infrared Fused Image Quality Assessment. Inform. Fusion. 2023
Temporal Local Correntropy Representation for Fault Diagnosis of Machines. IEEE Trans. Ind Inform. 2023
Towards the Automatic Modulation Classification with Adaptive Wavelet Network. IEEE Trans. Cogn Commun. 2023
Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification. Remote Sensing. 2022
Learning Dual Geometric Low-rank Structure for Semisupervised Hyperspectral Image Classification. IEEE Trans. Cybernetics. 2021
Self-Paced Learning-Based Probability Subspace Projection for Hyperspectral Image Classification. IEEE Trans. Neural Netw. Learning Syst. 2019
Deep Sparse Tensor Filtering Network for Synthetic Aperture Radar Images Classification. IEEE Trans. Neural Netw. Learning Syst. 2018