已公开发表学术论文60余篇，其中第一作者或通讯作者论文40余篇，部分代表论文如下：

[31]Y. Meng, P. Qi*, S. Zheng, Z. Cai, X. Zhou and T. Jiang, "Adversarial Attack and Reliable Defense Based on Frequency Domain Feature Enhancement for Automatic Modulation Classification," in IEEE Transactions on Information Forensics and Security, vol. 20, pp. 3731-3744, 2025, doi: 10.1109/TIFS.2025.3553806.

[30]P. Qi, T. Jiang, J. Xu, J. He, S. Zheng and Z. Li, "Unsupervised Spectrum Anomaly Detection With Distillation and Memory Enhanced Autoencoders," in IEEE Internet of Things Journal, vol. 11, no. 24, pp. 39361-39374, 15 Dec.15, 2024, doi: 10.1109/JIOT.2024.3424837. 

[29]P. Qi, Y. Meng, S. Zheng, X. Zhou, N. Cheng and Z. Li, "Adversarial Defense Embedded Waveform Design for Reliable Communication in the Physical Layer," in IEEE Internet of Things Journal, vol. 11, no. 10, pp. 18136-18153, May, 2024, doi: 10.1109/JIOT.2024.3361447.

[28]X. Zhou, P. Qi*, W. Zhang, S. Zheng, N. Zhang and Z. Li, "GAN-Based Siamese Neuron Network for Modulation Classification Against White-Box Adversarial Attacks," in IEEE Transactions on Cognitive Communications and Networking, vol. 10, no. 1, pp. 122-137, Feb. 2024, doi: 10.1109/TCCN.2023.3320868.

[27]Qi P, Zhou X, Ding Y, Z Zhang, S Zheng, Z Li. Fedbkd: Heterogenous federated learning via bidirectional knowledge distillation for modulation classification in IOT-edge system[J]. IEEE Journal of Selected Topics in Signal Processing, 2023, 17(1): 189-204.

[26]齐佩汉,丁渊磊,尹凯, 徐佳波, 李赞. 异构联邦双向知识蒸馏传递半监督调制类型识别[J].通信学报, 2023, 44(11): 183-200.

[25]Qi P, Jiang T, Wang L, et al. Detection tolerant black-box adversarial attack against automatic modulation classification with deep learning[J]. IEEE Transactions on Reliability, 2022, 71(2): 674-686.

[24]Qi P, Zhou X, Ding Y, et al. Collaborative and incremental learning for modulation classification with heterogeneous local dataset in cognitive IoT[J]. IEEE Transactions on Green Communications and Networking, 2022.

[23]Qi P, Zhou X, Zheng S, et al. Automatic modulation classification based on deep residual networks with multimodal information[J]. IEEE Transactions on Cognitive Communications and Networking, 2020, 7(1): 21-33.

[22]Qi P, Li Z, Li H, et al. Blind sub-Nyquist spectrum sensing with modulated wideband converter[J]. IEEE Transactions on Vehicular Technology, 2018, 67(5): 4278-4288.

[21]X. Zhou, P. Qi*, Q. Liu, Y. Ding, S. Zheng and Z. Li, "A graph-based semi-supervised approach for few-shot class-incremental modulation classification," in China Communications, vol. 21, no. 11, pp. 88-103, Nov. 2024, doi: 10.23919/JCC.ea.2022-0339.202401.

[20]Wang D, Qi P*, Zhao Y, et al. Covert wireless communication with noise uncertainty in space-air-ground integrated vehicular networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(3): 2784-2797.

[19]Wang D, Qi P*, Zhang N, et al. Covert wireless communication with spectrum mask in internet of things networks[J]. IEEE Transactions on Communications, 2021, 69(12): 8402-8415.

[18]Wang D, Qi P*, Fu Q, et al. Multiple high-order cumulants-based spectrum sensing in full-duplex-enabled cognitive IoT networks[J]. IEEE Internet of Things Journal, 2021, 8(11): 9330-9343.

[17]Li C, Qi P*, Wang D, et al. On the anti-interference tolerance of cognitive frequency hopping communication systems[J]. IEEE Transactions on Reliability, 2020, 69(4): 1453-1464.

[16] Xiong T, Li H, Qi P*, et al. Predecision for wideband spectrum sensing with sub-Nyquist sampling[J]. IEEE Transactions on Vehicular Technology, 2017, 66(8): 6908-6920.

[15] Meng Y, Qi P*, Lei Q, et al. Electromagnetic Spectrum Allocation Method for Multi-Service Irregular Frequency-Using Devices in the Space–Air–Ground Integrated Network[J]. Sensors, 2022, 22(23): 9227.

[14]M Lin, J Yi, J Wang, L Zhu, ZH Jiang, P Qi*, X Chen. Single-layer re-organizable all-dielectric meta-lens platform for arbitrary transmissive phase manipulation at millimeter-wave frequencies[J]. IEEE Transactions on Antennas and Propagation, 2021, 70(3): 2059-2069.

[13]齐佩汉,李冰,谢爱平,等.欠采样跳频通信信号深度学习重构方法[J].西安电子科技大学学报, 2022, 49(4):7-12.

[12]Jiang T, Chen L, Chen W, W Meng, P Qi*. ReliaMatch: Semi-Supervised Classification with Reliable Match[J]. Applied Sciences, 2023, 13(15): 8856.

[11] Meng Y, Qi P*, Zhou X, et al. Capability Analysis Method for Electromagnetic Spectrum[C]//2021 8th International Conference on Dependable Systems and Their Applications (DSA). IEEE, 2021: 739-740.

[10]Qi P, Du Y, Wang D, et al. Wideband spectrum sensing based on bidirectional decision of normalized spectrum for cognitive radio networks[J]. IEEE Access, 2019, 7: 140833-140845.

[9]Xiong T, Li Z, Qi P*. Measurement Matrix Calibration Method for Modulated Wideband Converter under Imperfect Periodic Pseudorandom Waveform[J]. J. Commun., 2016, 11(5): 498-506.

[8]Qi P, Li Z, Cheng W, et al. Residual correlation matrix detection based blind sub-Nyquist spectrum sensing for cognitive radio networks[C]//2017 9th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2017: 1-7.

[7]Qi P H, Zheng S L, Yang X N, et al. Cognitive radio adaptation for power consumption minimization using biogeography-based optimization[J]. Chinese Physics B, 2016, 25(12): 128403.

[6]齐佩汉, 李赞, 司江勃, 等. 用于高动态噪声背景的归一化谱协作感知算法[J]. 吉林大学学报 (工学版), 2016, 46(2): 678-684.

[5]Qi P H, Li Z, Si J B, et al. A two-stage spectrum sensing scheme based on energy detection and a novel multi-taper method[J]. Chinese Physics B, 2015, 24(4): 048401.

[4]Qi P H, Li Z, Si J B, et al. A robust power spectrum split cancellation-based spectrum sensing method for cognitive radio systems[J]. Chinese Physics B, 2014, 23(12): 128401.

[3]齐佩汉, 司江勃, 李赞, 等. 基于功率谱分段对消频谱感知算法研究及性能分析[J]. 电子与信息学报, 2014, 36(4): 769-774.

[2]齐佩汉, 李赞, 司江勃, 等. 用于认知跳频的归一化谱双向搜索感知算法[J]. 系统工程与电子技术, 2014, 36(12): 2510-2517.

[1]齐佩汉, 司江勃, 李赞, 等. 新型抗噪声不确定度谱分段对消频谱感知算法[J]. 西安电子科技大学学报, 2013, 40(6): 19-24.

 

以第一完成人申请国家/国防发明专利30余篇，已授权10余项，部分代表专利如下：

[10]齐佩汉，毛维安，周小雨，位萱， 李赞，姜涛，梁琳琳，王丹洋，郝本建，王凡：《无监督对抗学习电磁频谱异常信号检测方法》，已获得国家专利，专利号为ZL 202110156715.6，申请日期：2021年02月04日，授权日期：2021年12月21日。

[9]齐佩汉，王立展，姜涛，位萱，何进洋，马建峰，孟永超，张抗抗，周小雨：《存储增强的无监督频谱异常检测方法、系统、设备、介质》，已获得国家专利，专利号为ZL 202110706843.3，申请日期：2021年06月24日，授权日期：2022年08月26日。

[8]齐佩汉，陈婉清，姜涛，周航平， 位萱，马建峰，孟永超，张抗抗， 周小雨：《一种异常信号半监督分类方法、系统、数据处理终端》，已获得国家专利，专利号为ZL 202110708117.5，申请日期：2021年06月24日，授权日期：2023年03月03日。

[7]齐佩汉，杜婷婷，李赞，李圣安，司江勃，关磊，吴晗，孙智伟，邹雪莹，彭佳蓉：《一种基于多传感器的复杂环境电磁态势反演方法》，已获得国家专利，专利号为ZL 201710979669.3，申请日期：2017年10月19日，授权日期：2019年7月23日。

[6]齐佩汉，耿雨晴，李赞，高锐，司江勃，关磊，熊天意，王盛云，王思勉，申鹏：《面向宽带调制变换器的欠采样频谱感知预判决方法》，已获得国家专利，专利号为ZL 201510939335.4，申请日期：2015年12月15日，授权日期：2019年04月19日。

[5]齐佩汉，都毅，王丹洋，孟永超，周小雨，丁渊磊，张抗抗，安智慧，刘向丽，关磊，位萱，张亚欣：《基于网络结构特征归纳的半监督调制类型识别方法、装置及介质》，已获得国家专利，专利号为ZL 202110709690.8，申请日期：2021年6月25日，授权日期：2023年04月04日。

[4]齐佩汉，王凡，周涛，谢爱平，梁琳琳，周小雨，李赞，王丹洋，关磊，都毅，毛维安：《欠采样跳频通信信号深度学习恢复方法》，已获得国家专利，专利号为ZL 202010613485.7，申请日期：2020年06月30日，授权日期：2023年03月24日。

[3]齐佩汉，吴晗，司江勃，关磊，李赞，彭佳蓉，孙智伟，王凡，毛维安，都毅：《一种跳频通信信号的捕获方法、装置及计算机存储介质》，已获得国家专利，专利号为ZL 201910215219.6，申请日期：2019年3月21日，授权日期：2020年10月09日。

[2]齐佩汉，隰靖康，关磊，周小雨，孟永超，李赞，张正宇，丁渊磊：《信道动态筛选与状态交互共享的变换域通信方法》，已获得国家专利，专利号为ZL 202210274424.1，申请日期：2022年03月21日，授权日期：2023年03月03日。

[1]齐佩汉，杜昆刚，郑仕链，周小雨，孟永超，张正宇，位萱，沈清：《基于深度神经网络结构的OTFS信号接收恢复方法》，已获得国家专利，专利号为ZL 202210233419.6，申请日期：2022年03月10日，授权日期：2024年01月16日。