5 citations · 7 across the 7 of their papers we have counts for
7 papers
Geometry-Aware Contrastive Learning for Few-Shot Automatic Modulation Recognition
Guanqun Zhao, Yitong Liu, Jiaxuan Fang +2
Standard Self-Supervised Learning (SSL) for Automatic Modulation Recognition (AMR) struggles with ineffective isotropic augmentations, spectral instability, and semantic drift. To…
Rotatable Array-Aided Hybrid Beamforming for Integrated Sensing and Communication
Zequan Wang, Liang Yin, Zimeng Lei +3
Six-dimensional movable antenna (6DMA) technology has been proposed to enhance the performance of Integrated Sensing and Communication (ISAC) systems. However, within 6DMA-related…
DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation
Xinyu Ning, Yutong Zhao, Yitong Liu +1
The method of training language models based on domain datasets has obtained significant achievements in the task of generating scientific paper abstracts. However, such models fac…
KDSM: An uplift modeling framework based on knowledge distillation and sample matching
Chang Sun, Qianying Li, Guanxiang Wang +2
Uplift modeling aims to estimate the treatment effect on individuals, widely applied in the e-commerce platform to target persuadable customers and maximize the return of marketing…
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction
Chang Sun, Ken Deng, Yitong Liu +1
Computed Tomography (CT) plays an essential role in clinical diagnosis. Due to the adverse effects of radiation on patients, the radiation dose is expected to be reduced as low as…
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction
Yitong Liu, Ken Deng, Chang Sun +1
Sparse-view computed tomography (CT) is known as a widely used approach to reduce radiation dose while accelerating imaging through lowered projection views and correlated calculat…
Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information
Ken Deng, Chang Sun, Yitong Liu +1
Low-dose Computed Tomography is a common issue in reality. Current reduction, sparse sampling and limited-view scanning can all cause it. Between them, limited-view CT is general i…