| Multiview generative adversarial network and its application in pearl classification Q Xuan, Z Chen, Y Liu, H Huang, G Bao, D Zhang IEEE Transactions on Industrial Electronics 66 (10), 8244-8252, 2018 | 120 | 2018 |
| Open dnn box by power side-channel attack Y Xiang, Z Chen, Z Chen, Z Fang, H Hao, J Chen, Y Liu, Z Wu, Q Xuan, ... IEEE Transactions on Circuits and Systems II: Express Briefs 67 (11), 2717-2721, 2020 | 105 | 2020 |
| Software visualization and deep transfer learning for effective software defect prediction J Chen, K Hu, Y Yu, Z Chen, Q Xuan, Y Liu, V Filkov Proceedings of the ACM/IEEE 42nd international conference on software …, 2020 | 101 | 2020 |
| SigNet: A novel deep learning framework for radio signal classification Z Chen, H Cui, J Xiang, K Qiu, L Huang, S Zheng, S Chen, Q Xuan, ... IEEE Transactions on Cognitive Communications and Networking 8 (2), 529-541, 2021 | 73 | 2021 |
| AvgNet: Adaptive visibility graph neural network and its application in modulation classification Q Xuan, J Zhou, K Qiu, Z Chen, D Xu, S Zheng, X Yang IEEE Transactions on Network Science and Engineering 9 (3), 1516-1526, 2022 | 59 | 2022 |
| Sustainability forecasting for apache incubator projects L Yin, Z Chen, Q Xuan, V Filkov Proceedings of the 29th ACM joint meeting on european software engineering …, 2021 | 34 | 2021 |
| Time series classification based on complex network H Li, R Jia, X Wan Expert Systems with Applications 194, 116502, 2022 | 21 | 2022 |
| Rgp: Neural network pruning through regular graph with edges swapping Z Chen, J Xiang, Y Lu, Q Xuan, Z Wang, G Chen, X Yang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 17 | 2023 |
| Mixing signals: Data augmentation approach for deep learning based modulation recognition X Xu, Z Chen, D Xu, H Zhou, S Yu, S Zheng, Q Xuan, X Yang arXiv preprint arXiv:2204.03737, 2022 | 15 | 2022 |
| Channel pruning method for signal modulation recognition deep learning models Z Chen, Z Wang, X Gao, J Zhou, D Xu, S Zheng, Q Xuan, X Yang IEEE Transactions on Cognitive Communications and Networking, 2023 | 12 | 2023 |
| Adversarial examples detection of radio signals based on multifeature fusion D Xu, H Yang, C Gu, Z Chen, Q Xuan, X Yang IEEE Transactions on Circuits and Systems II: Express Briefs 68 (12), 3607-3611, 2021 | 12 | 2021 |
| Hvaq: A high-resolution vision-based air quality dataset Z Chen, T Zhang, Z Chen, Y Xiang, Q Xuan, RP Dick IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 8 | 2021 |
| Learn to defend: Adversarial multi-distillation for automatic modulation recognition models Z Chen, Z Wang, D Xu, J Zhu, W Shen, S Zheng, Q Xuan, X Yang IEEE Transactions on Information Forensics and Security, 2024 | 6 | 2024 |
| Signet: An advanced deep learning framework for radio signal classification Z Chen, H Cui, J Xiang, K Qiu, L Huang, S Zheng, S Chen, Q Xuan, ... arXiv preprint arXiv:2011.03525, 2020 | 6 | 2020 |
| Adaptive visibility graph neural network and its application in modulation classification Q Xuan, K Qiu, J Zhou, Z Chen, D Xu, S Zheng, X Yang arXiv preprint arXiv:2106.08564, 2021 | 5 | 2021 |
| Deep transfer clustering of radio signals Q Xuan, X Li, Z Chen, D Xu, S Zheng, X Yang arXiv preprint arXiv:2107.12237, 2021 | 3 | 2021 |
| RGP: Neural Network Pruning through Its Regular Graph Structure Z Chen, J Xiang, Y Lu, Q Xuan, X Yang arXiv preprint arXiv:2110.15192, 2021 | 2 | 2021 |
| Imperceptible UAPs for Automatic Modulation Classification Based on Deep Learning D Xu, J Li, Z Chen, Q Xuan, W Shen, X Yang IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 | 1 | 2023 |
| DTSG-Net: Dynamic Time Series Graph Neural Network and It’s Application in Modulation Recognition P Yin, J Zhou, Y Ge, Z Chen IEEE Internet of Things Journal, 2024 | | 2024 |
| Multi-view Discriminant Framework For Automatic Modulation Open Set Recognition J Hou, D Xu, F Song, Z Chen, Q Xuan, S Zheng, Y Lin, X Yang IEEE Transactions on Communications, 2024 | | 2024 |
Vladimir FilkovProfessor of Computer Science, UC Davis在 ucdavis.edu 的电子邮件经过验证