6 citations · 14 across the 14 of their papers we have counts for
14 papers
Dual-Hybrid Attention Network for Specular Highlight Removal
Xiaojiao Guo, Xuhang Chen, Shenghong Luo +2
Specular highlight removal plays a pivotal role in multimedia applications, as it enhances the quality and interpretability of images and videos, ultimately improving the performan…
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning
Yongcheng Zong, Shuqiang Wang
Brain network analysis plays an increasingly important role in studying brain function and the exploring of disease mechanisms. However, existing brain network construction tools h…
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
Yisheng Li, Shuqiang Wang
Hybrid motor imagery brain-computer interfaces (MI-BCIs), which integrate both electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals, outperform th…
MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removal
Yiguo Jiang, Xuhang Chen, Chi-Man Pun +2
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photos, affecting the photos' visual quality. The main challenge in flare…
Joint Association, Beamforming, and Resource Allocation for Multi-IRS Enabled MU-MISO Systems With RSMA
Chunjie Wang, Xuhui Zhang, Huijun Xing +5
Intelligent reflecting surface (IRS) and rate-splitting multiple access (RSMA) technologies are at the forefront of enhancing spectrum and energy efficiency in the next generation…
BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model
Yongcheng Zong, Shuqiang Wang
Brain network analysis has emerged as pivotal method for gaining a deeper understanding of brain functions and disease mechanisms. Despite the existence of various network construc…