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： 智能目标信息感知、机器学习理论及应用。

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）

2026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