22 citations · 22 across the 7 of their papers we have counts for
7 papers
Semi-Supervised Hyperbolic Hierarchical Clustering with Set-Level Structural Priors
Junjing Zheng, Xinyu Zhang, Xiangfeng Qiu +2
Semi-supervised hierarchical clustering aims to learn a tree structure consistent with data patterns and user-provided supervision. Supervision is usually given as leaf-level relat…
GDROS: A Geometry-Guided Dense Registration Framework for Optical-SAR Images under Large Geometric Transformations
Zixuan Sun, Shuaifeng Zhi, Ruize Li +3
Registration of optical and synthetic aperture radar (SAR) remote sensing images serves as a critical foundation for image fusion and visual navigation tasks. This task is particul…
Mode-Aware Non-Linear Tucker Autoencoder for Tensor-based Unsupervised Learning
Junjing Zheng, Chengliang Song, Weidong Jiang +1
High-dimensional data, particularly in the form of high-order tensors, presents a major challenge in self-supervised learning. While MLP-based autoencoders (AE) are commonly employ…
SAR-GTR: Attributed Scattering Information Guided SAR Graph Transformer Recognition Algorithm
Xuying Xiong, Xinyu Zhang, Weidong Jiang +3
Utilizing electromagnetic scattering information for SAR data interpretation is currently a prominent research focus in the SAR interpretation domain. Graph Neural Networks (GNNs)…
Orientation-Aware Sparse Tensor PCA for Efficient Unsupervised Feature Selection
Junjing Zheng, Xinyu Zhang, Weidong Jiang +2
Recently, introducing Tensor Decomposition (TD) techniques into unsupervised feature selection (UFS) has been an emerging research topic. A tensor structure is beneficial for minin…
Worst-Case Riemannian Optimization with Uncertain Target Steering Vector for Slow-Time Transmit Sequence of Cognitive Radar
Xinyu Zhang, Weidong Jiang, Xiangfeng Qiu +1
Optimization of slow-time transmit sequence endows cognitive radar with the ability to suppress strong clutter in the range-Doppler domain. However, in practice, inaccurate target…
LDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features
Xuying Xiong, Xinyu Zhang, Weidong Jiang +1
Mainstream DNN-based SAR-ATR methods still face issues such as easy overfitting of a few training data, high computational overhead, and poor interpretability of the black-box mode…