Terminal sliding mode control of permanent magnet synchronous motor based on the reaching law. - Peikun Zhu; Yong Chen 010; Meng Li 011 (J. Syst. Control. Eng., 2020)

Exemplar-free Incremental Learning For Micro-Doppler Signature Classification. - Xu Si; Peikun Zhu; Jing Liang 002 (IGARSS, 2023)

A Nonlinear Waveform Selection Method for Cognitive Radar Target Tracking Based on Reinforcement Learning. - Peikun Zhu; Xu Si; Jing Liang 002 (IGARSS, 2023)

Cognitive Radar Target Tracking Using Intelligent Waveforms Based on Reinforcement Learning. - Peikun Zhu; Jing Liang 002; Zihan Luo 003; Xiaofeng Shen (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning from Noisy Label for HRRP Signal Recognition. - Xu Si; Peikun Zhu; Jing Liang 002 (IGARSS, 2024)

Contrastive Learning for Radar Target Recognition Based on HRRP. - Hao Wan; Peikun Zhu; Jing Liang 002 (IGARSS, 2024)

Intelligent Waveform Optimization for Target Tracking Based on Fuzzy Reinforcement Learning In Radar Sensor Networks. - Peikun Zhu; Hao Wan; Jing Liang 002 (IGARSS, 2024)

A micro-Doppler spectrogram denoising algorithm for radar human activity recognition. - Xu Si; Hao Wan; Peikun Zhu; Jing Liang 002 (Signal Process., 2024)

Target recognition via discriminant information and geometrical structure co-learning using radar sensor network. - Hao Wan; Xu Si; Peikun Zhu; Jing Liang 002 (Pattern Recognit., 2025)

Nonlinear Waveform Sensing for Cognitive Radar Based on Reinforcement Learning. - Peikun Zhu; Xu Si; Jiachen Han; Jing Liang 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)