| Large-scale real-world radio signal recognition with deep learning TU Ya, LIN Yun, ZHA Haoran, J Zhang, W Yu, GUI Guan, MAO Shiwen Chinese Journal of Aeronautics 35 (9), 35-48, 2022 | 160 | 2022 |
| Real-world ADS-B signal recognition based on radio frequency fingerprinting H Zha, Q Tian, Y Lin 2020 IEEE 28th international conference on network protocols (ICNP), 1-6, 2020 | 23 | 2020 |
| GLR-SEI: green and low resource specific emitter identification based on complex networks and fisher pruning Y Lin, H Zha, Y Tu, S Zhang, W Yan, C Xu IEEE transactions on emerging topics in computational intelligence, 2023 | 19 | 2023 |
| LT-SEI: Long-tailed specific emitter identification based on decoupled representation learning in low-resource scenarios H Zha, H Wang, Z Feng, Z Xiang, W Yan, Y He, Y Lin IEEE Transactions on Intelligent Transportation Systems, 2023 | 11 | 2023 |
| A method using blind source separation to improve the decoding efficiency of space-based ADS-B receiver H Zha, S Wang, S Wang, L Pan International Journal of Performability Engineering 16 (6), 950, 2020 | 4 | 2020 |
| Evaluation of deep learning model in the field of electromagnetic signal recognition J Wang, H Zha, J Fu IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 3 | 2022 |
| ADS-B signal separation via complex neural network Y Yang, H Zhang, H Zha, R Song Mobile Multimedia Communications: 14th EAI International Conference …, 2021 | 3 | 2021 |
| FCGCN: Feature Correlation Graph Convolution Network for Few-Shot Individual Identification Z Feng, H Zha, C Xu, Y He, Y Lin IEEE Transactions on Consumer Electronics, 2023 | 2 | 2023 |
| Channel-Robust Class-Universal Spectrum-Focused Frequency Adversarial Attacks on Modulated Classification Models S Zhang, J Fu, J Yu, H Xu, H Zha, S Mao, Y Lin IEEE Transactions on Cognitive Communications and Networking, 2024 | 1 | 2024 |
| TESPOSDA-SEI: tensor embedding substructure preserving open set domain adaptation for specific emitter identification M Wang, Y Lin, C Liu, Q Tian, H Zha, J Fu Wireless Networks 29 (7), 2935-2951, 2023 | 1 | 2023 |
| The technology of radio frequency fingerprint identification based on deep learning for 5G application Y Lin, H Wang, H Zha Security and Safety 3, 2023026, 2024 | | 2024 |
| SEI-DM: Crafting Revolutionary RF Signals in Low-Resource Settings via Diffusion Model H Zha, W Wang, S Yu, Y Lin 2023 IEEE 23rd International Conference on Communication Technology (ICCT …, 2023 | | 2023 |
| TFMA: Few-Shot RF Fingerprint Identification with Time-Frequency Mask Augmentation H Wang, H Zha, Y Lin, H Jiang 2023 IEEE 23rd International Conference on Communication Technology (ICCT …, 2023 | | 2023 |
| Topology Inference for Low-Resource Non-Cooperative Cluster Networks Based on Deep Learning P Li, H Zha, Y Lin 2023 International Conference on Ubiquitous Communication (Ucom), 361-366, 2023 | | 2023 |
| 基于深度学习的大规模电磁信号识别 张振， 李一兵， 查浩然 太赫兹科学与电子信息学报 20 (1), 29-33, 39, 2022 | | 2022 |
| Impact of Mechanism and Influencing Factors of Radio Frequency Fingerprint on Wireless Devices W Shihao, Z Haoran 2021 8th International Conference on Dependable Systems and Their …, 2021 | | 2021 |
| 广播式自动相关监视信号接收系统设计 查浩然， 张召悦， 林云 Journal of terahertz science and electronic information technology 19 (1), 38-41, 2021 | | 2021 |
| Section Category The technology of radio frequency fingerprint identification based on deep learning for 5G application Y Lin, H Wang, H Zha | | |
Tu YaTongji UniversityVerified email at tongji.edu.cn
Tu YaTongji UniversityVerified email at tongji.edu.cn