【期刊论文】

1. Y. Li, X. Shi*, X. Wang, Y. Lu, P. Cheng, and F. Zhou, "Intelligent Detection Method for Satellite TT&C Signals under Restricted Conditions Based on TATR," vol. 16, no. 6, p. 1008, 2024.（中科院二区）
2. Z. Zhang, X. Shi*, and F. Zhou, "An Incremental Recognition Method for MFR Working Modes Based on Deep Feature Extension in Dynamic Observation Scenarios," IEEE Sensors Journal, vol. 23, no. 18, pp. 21574-21587, 2023.（中科院二区）
3. X. Shi, F. Zhou, S. Yang, Z. Zhang, and T. Su, "Automatic Target Recognition for Synthetic Aperture Radar Images Based on Super-Resolution Generative Adversarial Network and Deep Convolutional Neural Network," Remote Sensing, vol. 11, no. 2, p. 135, 2019 （中科院二区）
4. X. Shi, X. Yao, X. Bai, F. Zhou, Y. Li, and L. Liu, "Radar Echoes Simulation of Human Movements Based on MOCAP Data and EM Calculation," IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 6, pp. 859-863, 2019. （中科院二区）
5. X. Shi, F. Zhou, X. Bai, and H. Su, "Deceptive jamming for tracked vehicles based on micro-Doppler signatures," IET Radar, Sonar & Navigation, vol. 12, no. 8, pp. 844-852, 2018. （中科院三区）
6. X. Shi, F. Zhou, M. Tao, and Z. Zhang, "Human Movements Separation Based on Principle Component Analysis," IEEE Sensors Journal, vol. 16, no. 7, pp. 2017-2027, 2016. （中科院二区）
7. X. Shi, F. Zhou, B. Zhao, M. Tao, and Z. Zhang, "Deception jamming method based on micro-Doppler effect for vehicle target," IET Radar, Sonar & Navigation, vol. 10, no. 6, pp. 1071-1079, 2016. （中科院三区）
8. X. Shi, F. Zhou, L. Liu, B. Zhao, and Z. Zhang, "Textural feature extraction based on time–frequency spectrograms of humans and vehicles," IET Radar, Sonar & Navigation, vol. 9, no. 9, pp. 1251-1259, 2015. （中科院三区）
9. X. Yao, X. Shi, Y. Li, L. Wang, H. Wang, S. Ren, F. Zhou, "GMT-WGAN: An Adversarial Sample Expansion Method for Ground Moving Targets Classification," Remote Sensing, vol. 14, no. 1, p. 123, 2022. （中科院二区）
10. X. Yao, X. Shi, and F. Zhou, "Human Activities Classification Based on Complex-Value Convolutional Neural Network," IEEE Sensors Journal, vol. 20, no. 13, pp. 7169-7180, 2020. （中科院二区）
11. L. Liu, Z. Zhou, F. Zhou, and X. Shi, "A New 3-D Geometry Reconstruction Method of Space Target Utilizing the Scatter Energy Accumulation of ISAR Image Sequence," IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 12, pp. 8345-8357, 2020.4. （中科院二区）
12. W. Fan, F. Zhou, M. Tao, X. Bai, X. Shi, and H. Xu, "An Automatic Ship Detection Method for PolSAR Data Based on K-Wishart Distribution," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 6, pp. 2725-2737, 2017. （中科院二区）
13. B. Zhao, F. Zhou, X. Shi, Q. Wu, and B. Zheng, "Multiple Targets Deception Jamming Against ISAR Using Electromagnetic Properties," IEEE Sensors Journal, vol. 15, no. 4, pp. 2031-2038, 2015. （中科院二区）

【会议论文】

1. Y. Li, X. Shi, X. Yang, and F. Zhou, "Unsupervised Modulation Recognition Method Based on Multi-Domain Representation Contrastive Learning," in 2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2023, pp. 1-6.
2. X. Shi, Y. Li, F. Zhou, and L. Liu, "Human Activity Recognition Based on Deep Learning Method," in 2018 International Conference on Radar (RADAR), 2018, pp. 1-5.
3. X. Shi, F. Zhou, and L. Liu, "Micro-Doppler Deception Jamming for Tracked Vehicles," in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valuncia, Spain, 2018, pp. 609-612.
4. X. Shi, F. Zhou, S. Jin, Z. Zhang, and L. Liu, "Textural feature extraction and classification for humans and vehicles," in 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2015, pp. 746-750.
5. X. Yao, X. Shi, and F. Zhou, "Complex-Value Convolutional Neural Network for Classification of Human Activities," in 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2019, pp. 1-6.
6. S. Yang, X. Shi, and F. Zhou, "Automatic Target Recognition for Low-Resolution SAR Images Based on Super-Resolution Network," in 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2019, pp. 1-6.
7. M. Hou, X. Shi, and F. Zhou, "Pedestrian Gait Classification Based on Parallel Channel Identity Initialized Recurrent Neural Network," in 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2019, pp. 1-5.
8. Y. Li, W. Fan, X. Shi, and F. Zhou, "Multi-mode Fusion and Classification Method for Space Targets Based on Convolutional Neural Network," in 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2019, pp. 1-6.
9. L. Liu, F. Zhou, and X. Shi, "A Novel Initialization Method for EM-Based ISAR Scatterer Trajectory Matrix Completion," in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 2286-2289.

【专利】

1. 一种基于SEResNet-LSTM的辐射源调制方式识别方法（授权，2023）
2. 一种基于PC-IRNN的行人不太分类方法（授权，2023）
3. 一种人体微动回波仿真方法（授权，2022）
4. 一种基于粒子群优化的三维干涉ISAR图像配准方法（授权，2022）
5. 基于雷达主成分分析的肢体运动分离方法（授权，2019）
6. 基于运动车辆目标微动特性的对雷达的窄带欺骗干扰方法（授权，2017）
7. 一种行人与车辆目标的分类识别方法（授权，2017）
8. 一种基于分割理论的行人微动部位分离方法（受理）
9. 一种基于多特征融合全卷积网络的多聚焦图像融合方法（受理）
10. 一种基于WGAN的小样本地面慢速运动目标分类方法（受理）
11. 一种基于RSDNet的行人雷达回波去噪方法（受理）
12. 一种深度特征扩展的多功能雷达工作模式增量识别方法（受理）
13. 基于粒子群优化算法的通信信号联合参数估计方法及装置（受理）
14. 一种端到端的微弱卫星信号智能检测方法（受理）