4 citations · 4 across the 5 of their papers we have counts for
5 papers
A Quantization-Aware Training Based Lightweight Method for Neural Distinguishers
Guangwei Xiong, Linyuan Wang, Zhizhong Zheng +2
In 2019, Gohr pioneered the application of deep neural networks to differential cryptanalysis, developing DNN-based neural distinguisher classifiers to analyze the SPECK lightweigh…
A one-step generation model with a Single-Layer Transformer: Layer number re-distillation of FreeFlow
Haonan Wei, Linyuan Wang, Nuolin Sun +3
Currently, Flow matching methods aim to compress the iterative generation process of diffusion models into a few or even a single step, with MeanFlow and FreeFlow being representat…
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction
Xinrui Zhang, Ailong Cai, Shaoyu Wang +4
Metal artifacts in computed tomography (CT) imaging pose significant challenges to accurate clinical diagnosis. The presence of high-density metallic implants results in artifacts…
Dual-energy CT Reconstruction from Dual Quarter Scans
Wenkun Zhang, Ningning Liang, Linyuan Wang +7
Compared with conventional single-energy computed tomography (CT), dual-energy CT (DECT) provides better material differentiation but most DECT imaging systems require dual full-an…
Efficient Image Reconstruction and Practical Decomposition for Dual-energy Computed Tomography
Lei Li, Ailong Cai, Linyuan Wang +6
Dual-energy computed tomography (DECT) has shown great potential and promising applications in advanced imaging fields for its capabilities of material decomposition. However, imag…