代表性论著
在IEEE J. Sel. Areas Commun.、 IEEE Wireless Commun.、 IEEE Trans. Wireless Commun.、 IEEE Trans. Commun.、 IEEE Trans. Veh. Technol.、 IEEE Trans. Cogn. Commun. Netw.等国际期刊上发表学术论文30余篇，部分第一作者/通讯作者等论文如下：
1. P. Wang, T. Mao, Z. Wang, H. Yuan, H. Zhang, and G. K. Karagiannidis, Jamming identification with differential transformer for low-altitude wireless networks, IEEE J. Sel. Areas Commun., 2026, 44: 3664-3677.
2. M. Li, P. Wang, Y. Dong, J. Chen, and Z. Wang. Adversarial defense in modulation recognition via diffusion and segment-wise classification. IEEE Commun. Lett., 2026, 30: 987-991.
3. X. Huang, M. Li, P. Wang, J. Chen, and Z. Wang. Wireless interference recognition with non-exemplar class incremental learning. IEEE Commun. Lett., 2026.
4. P. Wang, C. Sun, K. Ma, Y. Bai, and Z. Wang, Deep learning assisted mmWave beam prediction with flexible network architecture, IEEE Trans. Wireless Commun., 2025, 24(11): 9435-9448. [3.1]
5. M. Li, P. Wang, Y. Dong, and Z. Wang, Multi-domain dynamic filtering network for multicarrier modulation recognition, IEEE Wireless Commun. Lett., 2025, 14(12): 4177-4181. [4.1]
6. M. Li, P. Wang, Y. Dong, and Z. Wang. Diffusion model empowered data augmentation for automatic modulation recognition. IEEE Wireless Commun. Lett., 2025.
7. P. Wang, Z. Wang, and Z. Han, Intelligent wireless interference identification with lightweight Transformer network, IEEE Trans. Commun., 2025, 73(11): 11355-11367.
8. P. Wang, X. Huang, H. Zhang, and Z. Wang, Intelligent wireless interference recognition: Challenges, opportunities, and future directions, IEEE Wireless Commun., 2025, 32(6): 209-215.
9. X. Huang, P. Wang and Z. Wang, Wireless Interference Recognition With Low-Complexity Sparse Multilayer Perceptron, in IEEE Commun. Lett., 2025.
10. P. Wang, C. Sun, K. Ma, Y. Bai, and Z. Wang, MmWave beam prediction under hand blockage, IEEE Wireless Commun. Lett., 2024, 13(12): 3598-3602.
11. P. Wang, K. Ma, Y. Bai, C. Sun, and Z. Wang, Wireless interference recognition with multimodal learning, IEEE Trans. Wireless Commun., 2024, 23(12): 18576-18591.
12. P. Wang, Y. Cheng, Q. Peng, J. Wang, and S. Li, Learning dynamic computing resource allocation in convolutional neural networks for wireless interference identification, IEEE Trans. Veh. Technol., 2023, 72(7): 8770-8782.
13. P. Wang, Y. Cheng, B. Dong, and G. Gui, Binary neural networks for wireless interference identification, IEEE Wireless Commun. Lett., 2022, 11(1): 23-27.
14. P. Wang, Y. Cheng, G. Shang, J. Wang, and S. Li, Time-frequency component-aware convolutional neural network for wireless interference classification, IEEE Wireless Commun. Lett., 2022, 11(12): 2487-2491.
15. P. Wang, Y. Cheng, B. Dong, Q. Peng, and S. Li, Low-bitwidth convolutional neural networks for wireless interference identification, IEEE Trans. Cogn. Commun. Netw., 2022, 8(2): 557-569.
16. P. Wang, Y. Cheng, B. Dong, and R. Hu, WIR-Transformer: Using transformers for wireless interference recognition, IEEE Wireless Commun. Lett., 2022, 11(12): 2472-2476.
17. P. Wang, Y. Cheng, B. Dong, and S. Li, Multi-domain networks for wireless interference recognition, IEEE Trans. Veh. Technol., 2022, 71(6): 6534-6547.
18. P. Wang, Y. Cheng, and B. Dong. Bring globality into convolutional neural networks for wireless interference classification[5.1]. IEEE Wireless Commun. Lett., 2022, 11(3): 538-542. [6.1]
19. P. Wang, Y. Cheng, and B. Dong, Multi-depth adaptive networks for wireless interference identification, in Proc. IEEE Int. Conf. Commun. (ICC), 2021, pp. 1-6.
20. P. Wang, Y. Cheng, and B. Dong. Augmented convolutional neural networks with transformer for wireless interference identification, IEEE Global Commun. Conf. (GLOBECOM), 2021: 1-6.
21. P. Wang, Y. Cheng, B. Dong, and H. Xu. Convolutional neural network-based interference recognition, IEEE 20th Int. Conf. Commun. Technol. (ICCT), 2020: 1296-1300.
