Area of research
Aerospace Engineering · Biomedical Engineering
Research interest
Research interests include Advanced SAR Imaging Techniques, Synthetic Aperture Radar (SAR) Applications and Techniques, Microwave Imaging and Scattering Analysis, and Sparse and Compressive Sensing Techniques.
Divergence to Concentration and Population to Individual: A Progressive Approaching Ship Detection Paradigm for Synthetic Aperture Radar Remote Sensing Imagery
Swarm Learning: Perception–Retrieval–Localization for Ship Detection From Synthetic Aperture Radar Remote Sensing Imagery
Tri-State Prototype Self-Distillation for SAR Ocean Imagery Panoptic Segmentation
Structure-guided lensless reconstruction via physics-aware decomposition in low-light conditions
Resilient lensless imaging under non-ideal conditions using teacher-student learning
Density Knowledge Mining for Quantity-Aware Marine Vessel Surveillance Using Satellite SAR Data
Beyond static imaging: A dynamic decision paradigm for robust array-SAR in diverse sensing scenarios
Exploring Spatial Feature Regularization in Deep-Learning-Based TomoSAR Reconstruction: A Preliminary Study and Performance Analysis
Generative approach for lensless imaging in low-light conditions
Enhancing mmWave Automotive Forward-Looking MIMO-SAR Imaging by Space–Time Sparsity
A Fast Lq Sparsity-Driven Method With Adaptive-Focusing Framework for mmWave Automotive Radar Super-Resolution Imaging
A Generalized Lq Regularization With Azimuth-Phase-Compensation Method for mmW Automotive SAR Sparse Imaging
Unified Learning and Reconstruction for Robust Tomographic SAR Reconstruction: A Model-Driven Framework
DBRH-5: Legendre Polynomial-Based Attention Mechanism in Dual-Branch ResNet Hybrid-5 Towards Arrhythmia Diagnosis
CFAR-DP-FW: A CFAR-Guided Dual-Polarization Fusion Framework for Large-Scene SAR Ship Detection
CTV-Net: Complex-Valued TV-Driven Network With Nested Topology for 3-D SAR Imaging
Unsupervised 3-D Array-SAR Imaging Based on Generative Model for Scattering Diagnosis
Distribution-Based Anchor Assignment and Comprehensive Score Voting With Distance Penalty IoU Loss for SAR Remote Sensing Ship Detection
GNN-JFL: Graph Neural Network for Video SAR Shadow Tracking With Joint Motion-Appearance Feature Learning
Deep SAR Tomography: A Model-Inspired Approach With Learned Sparse Regularizer
Joint Generalized Lq and Convolutional Regularization: Enhancing mmW Automotive SAR Sparse Imaging
A Novel Back-Projection-Based Target Motion Parameter Estimation Scheme for Dual-Channel SAR
High-Quality Short-Range Radar Imaging with Coprime Sampling
Shadow-Enhanced Self-Attention and Anchor-Adaptive Network for Video SAR Moving Target Tracking
3-D SAR Imaging via Perceptual Learning Framework With Adaptive Sparse Prior
A Target-Oriented Bayesian Compressive Sensing Imaging Method With Region-Adaptive Extractor for mmW Automotive Radar
Multitype Label Noise Modeling and Uncertainty-Weighted Label Correction for Concealed Object Detection
HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification
AF-AMPNet: A Deep Learning Approach for Sparse Aperture ISAR Imaging and Autofocusing
RMIST-Net: Joint Range Migration and Sparse Reconstruction Network for 3-D mmW Imaging