Class factorized complex variational auto-encoder for HRR radar target recognition. - Leiyao Liao; Lan Du 001; Jian Chen 034 (Signal Process., 2021)

Interpretable Deep Probabilistic Model for HRR Radar Signal and its Application to Target Recognition. - Leiyao Liao; Lan Du 001; Jian Chen 034 (IEEE J. Sel. Top. Signal Process., 2022)

Mixture factor analysis with distance metric constraint for dimensionality reduction. - Jian Chen 034; Leiyao Liao; Wei Zhang 195; Lan Du 001 (Pattern Recognit., 2022)

Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN. - Leiyao Liao; Lan Du 001; Yuchen Guo (Remote. Sens., 2022)

Adaptive Max-Margin One-Class Classifier for SAR Target Discrimination in Complex Scenes. - Leiyao Liao; Lan Du 001; Wei Zhang 195; Jian Chen 034 (Remote. Sens., 2022)

Discriminative Mixture Variational Autoencoder for Semisupervised Classification. - Jian Chen 034; Lan Du 001; Leiyao Liao (IEEE Trans. Cybern., 2022)

Semi-Supervised SAR Target Detection with Cross-Domain Transfer Learning Based on YOLOv5. - Leiyao Liao (IGARSS, 2024)

Physics-Driven Interpretable SAR Target Recognition Network Based on Scattering Center Feature Extraction. - Leiyao Liao; Lan Du 001 (IGARSS, 2024)

EMI-Net: An End-to-End Mechanism-Driven Interpretable Network for SAR Target Recognition Under EOCs. - Leiyao Liao; Lan Du 001; Jian Chen 034; Zhuowei Cao; Ke'er Zhou (IEEE Trans. Geosci. Remote. Sens., 2024)

Integrated Physically Interpretable Model for SAR Target Recognition: Unified Fusion of Electromagnetic and Deep Features. - Leiyao Liao; Zishuo Hong; Ziwei Liu 004; Gengxin Zhang (IEEE Geosci. Remote. Sens. Lett., 2025)