1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)
Pingchuan Ma, Rui Ding, Qiang Fu +4
Differentiable causal discovery has made significant advancements in the learning of directed acyclic graphs. However, its application to real-world datasets remains restricted due…
eess.IV2022★ 1 cited
LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT Reconstruction
Qifeng Gao, Rui Ding, Linyuan Wang +2
In the practical applications of computed tomography imaging, the projection data may be acquired within a limited-angle range and corrupted by noises due to the limitation of scan…
eess.SP2022
Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks
Rui Ding, Hao Zhang, Fuhui Zhou +2
Automatic modulation classification is of crucial importance in wireless communication networks. Deep learning based automatic modulation classification schemes have attracted exte…