| Semi-Supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification. Y Tu, Y Lin, J Wang, JU Kim Computers, Materials & Continua 55 (2), 2018 | 340 | 2018 |
| Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer Y Lin, Y Tu, Z Dou, L Chen, S Mao IEEE Transactions on Cognitive Communications and Networking, 2020 | 226 | 2020 |
| Digital signal modulation classification with data augmentation using generative adversarial nets in cognitive radio networks B Tang, Y Tu, Z Zhang, Y Lin IEEE Access 6, 15713-15722, 2018 | 206 | 2018 |
| An improved neural network pruning technology for automatic modulation classification in edge devices Y Lin, Y Tu, Z Dou IEEE Transactions on Vehicular Technology 69 (5), 5703-5706, 2020 | 174 | 2020 |
| 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 | 166 | 2022 |
| Complex-valued networks for automatic modulation classification Y Tu, Y Lin, C Hou, S Mao IEEE Transactions on Vehicular Technology 69 (9), 10085-10089, 2020 | 158 | 2020 |
| Adversarial attacks in modulation recognition with convolutional neural networks Y Lin, H Zhao, X Ma, Y Tu, M Wang IEEE Transactions on Reliability 70 (1), 389-401, 2020 | 153 | 2020 |
| Threats of adversarial attacks in DNN-based modulation recognition Y Lin, H Zhao, Y Tu, S Mao, Z Dou IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2469-2478, 2020 | 107 | 2020 |
| Spectrum prediction based on Taguchi method in deep learning with long short-term memory L Yu, J Chen, G Ding, Y Tu, J Yang, J Sun IEEE Access 6, 45923-45933, 2018 | 96 | 2018 |
| Deep neural network compression technique towards efficient digital signal modulation recognition in edge device Y Tu, Y Lin IEEE Access 7, 58113-58119, 2019 | 72 | 2019 |
| The application of deep learning in communication signal modulation recognition Y Lin, Y Tu, Z Dou, Z Wu 2017 IEEE/CIC International Conference on Communications in China (ICCC), 1-5, 2017 | 51 | 2017 |
| A node self-localization algorithm with a mobile anchor node in underwater acoustic sensor networks Y Lin, H Tao, Y Tu, T Liu Ieee Access 7, 43773-43780, 2019 | 43 | 2019 |
| Research on the Internet of Things Device Recognition Based on RF-Fingerprinting Y Tu, Z Zhang, Y Li, C Wang, Y Xiao IEEE Access 7, 37426-37431, 2019 | 42 | 2019 |
| Time-related network intrusion detection model: a deep learning method Y Lin, J Wang, Y Tu, L Chen, Z Dou 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 40 | 2019 |
| An ensemble learning method for wireless multimedia device identification Z Zhang, Y Li, C Wang, M Wang, Y Tu, J Wang Security and communication networks 2018 (1), 5264526, 2018 | 33 | 2018 |
| 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 | 23 | 2023 |
| Dynamic channel allocation for multi-UAVs: A deep reinforcement learning approach X Zhou, Y Lin, Y Tu, S Mao, Z Dou 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 14 | 2019 |
| Modulation recognition of digital signal based on deep auto-ancoder network T Ya, Y Lin, H Wang 2017 IEEE International Conference on Software Quality, Reliability and …, 2017 | 13 | 2017 |
| A Pruning Neural Network for Automatic Modulation Classification Z Zhang, Y Tu 2021 8th International Conference on Dependable Systems and Their …, 2021 | 4 | 2021 |
| C-srcil: Complex-valued class-incremental learning for signal recognition Z Fan, Y Tu, Q Shi 2023 International Joint Conference on Neural Networks (IJCNN), 1-6, 2023 | 2 | 2023 |
Yun LinHarbin Engineering University在 hrbeu.edu.cn 的电子邮件经过验证
