| A survey of deep learning-based human activity recognition in radar X Li, Y He, X Jing Remote Sensing 11 (9), 1068, 2019 | 241 | 2019 |
| Semisupervised human activity recognition with radar micro-Doppler signatures X Li, Y He, F Fioranelli, X Jing IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 70 | 2021 |
| Deep cascading network architecture for robust automatic modulation classification L Weng, Y He, J Peng, J Zheng, X Li Neurocomputing 455, 308-324, 2021 | 53 | 2021 |
| Human motion recognition with limited radar micro-Doppler signatures X Li, Y He, F Fioranelli, X Jing, A Yarovoy, Y Yang IEEE Transactions on Geoscience and Remote Sensing 59 (8), 6586-6599, 2020 | 31 | 2020 |
| Integrated human activity sensing and communications X Li, Y Cui, JA Zhang, F Liu, D Zhang, L Hanzo IEEE Communications Magazine, 2022 | 28 | 2022 |
| A mutiscale residual attention network for multitask learning of human activity using radar micro-Doppler signatures Y He, X Li, X Jing Remote Sensing 11 (21), 2584, 2019 | 27 | 2019 |
| Integrated sensing and communications: Recent advances and ten open challenges S Lu, F Liu, Y Li, K Zhang, H Huang, J Zou, X Li, Y Dong, F Dong, J Zhu, ... IEEE Internet of Things Journal, 2024 | 25 | 2024 |
| LSTM based human activity classification on radar range profile X Li, Y He, Y Yang, Y Hong, X Jing 2019 IEEE International Conference on Computational Electromagnetics (ICCEM …, 2019 | 21 | 2019 |
| CSI-ratio-based doppler frequency estimation in integrated sensing and communications X Li, JA Zhang, K Wu, Y Cui, X Jing IEEE sensors journal 22 (21), 20886-20895, 2022 | 18 | 2022 |
| Unsupervised domain adaptation for human activity recognition in radar X Li, X Jing, Y He 2020 IEEE Radar Conference (RadarConf20), 1-5, 2020 | 12 | 2020 |
| DCGAN-based scheme for radar spectrogram augmentation in human activity classification Y Mi, X Jing, J Mu, X Li, Y He 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI …, 2018 | 12 | 2018 |
| Supervised domain adaptation for few-shot radar-based human activity recognition X Li, Y He, JA Zhang, X Jing IEEE Sensors Journal 21 (22), 25880-25890, 2021 | 10 | 2021 |
| Orthogonal time frequency space and predictive beamforming-enabled URLLC in vehicular networks W Yuan, J Zou, Y Cui, X Li, J Mu, K Han IEEE Wireless Communications 30 (2), 56-62, 2023 | 8 | 2023 |
| A deep-learning method for radar micro-Doppler spectrogram restoration Y He, X Li, R Li, J Wang, X Jing Sensors 20 (17), 5007, 2020 | 8 | 2020 |
| Assisting living by wireless sensing: The role of integrated sensing and communications in 6g era X Li, Y Cui, JA Zhang, F Liu, X Jing, OA Dobre arXiv preprint arXiv:2202.09522, 2022 | 7 | 2022 |
| Efficient fusion and reconstruction for communication and sensing signals in green IoT networks Z Jing, J Mu, X Li, Q Zhou, Q Tian IEEE Internet of Things Journal, 2022 | 6 | 2022 |
| On the Physical Layer of Digital Twin: An Integrated Sensing and Communications Perspective Y Cui, W Yuan, Z Zhang, J Mu, X Li IEEE Journal on Selected Areas in Communications, 2023 | 4 | 2023 |
| Bigru network for human activity recognition in high resolution range profile C Li, Y He, X Li, X Jing 2019 International radar conference (RADAR), 1-5, 2019 | 4 | 2019 |
| Advances in human activity sensing using ultra-wide band radar T JIN, Y HE, X LI, Y SONG, Y Yang J. Electron. Inf. Technol 44 (4), 1147-1155, 2022 | 3 | 2022 |
| Passive Human Sensing Enhanced by Reconfigurable Intelligent Surface: Opportunities and Challenges X Li, JW You, Z Gu, Q Ma, L Chen, J Zhang, S Jin, TJ Cui arXiv preprint arXiv:2311.07873, 2023 | 1 | 2023 |
